---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '20190'
abstract:
- lang: eng
text: 'A major goal of speciation research is identifying loci that underpin barriers
to gene flow. Population genomics takes a ‘bottom-up’ approach, scanning the genome
for molecular signatures of processes that drive or maintain divergence. However,
interpreting the ‘genomic landscape’ of speciation is complicated, because genome
scans conflate multiple processes, most of which are not informative about gene
flow. However, studying replicated population contrasts, including multiple incidences
of secondary contact, can strengthen inferences. In this paper, we use linked-read
sequencing (haplotagging), FST scans and genealogical methods to characterise
the genomic landscape associated with replicate hybrid zone formation. We studied
two flower colour varieties of the common snapdragon, Antirrhinum majus subspecies
majus, that form secondary hybrid zones in multiple independent valleys in the
Pyrenees. Consistent with past work, we found very low differentiation at one
well-studied zone (Planoles). However, at a second zone (Avellanet), we found
stronger differentiation and greater heterogeneity, which we argue is due to differences
in the amount of introgression following secondary contact. Topology weighting
of genealogical trees identified loci where haplotype diversity was associated
with the two snapdragon varieties. Two of the strongest associations were at previously
identified flower colour loci: Flavia, that affects yellow pigmentation, and Rosea/Eluta,
two linked loci that affect magenta pigmentation. Preliminary analysis of coalescence
times provides additional evidence for selective sweeps at these loci and barriers
to gene flow. Our study highlights the impact of demographic history on the differentiation
landscape, emphasising the need to distinguish between historical divergence and
recent introgression.'
acknowledged_ssus:
- _id: ScienComp
acknowledgement: 'We thank ESEB Godfrey Hewitt Mobility Award for supporting AP’s
research stay at UC Davis. We thank Tom Ellis, Parvathy Surendranadh, and other
Barton Group and Coop Lab members for stimulating discussions. We are grateful to
all the interns and volunteers who have helped us with fieldwork. We thank Eva Salmerón
Mateu for her assistance in fieldwork logistics at the field station, El Serrat.
We are grateful to Enrico Coen and his research group for providing the Antirrhinum
molle PoolSeq data used in the allele polarisation. We are also thankful to Enrico
Coen and Cristophe Thébaud for discovering the Avellanet hybrid zone, followed up
with sampling led by D.L.F. in 2017. The study was supported by Austrian Science
Fund (FWF) Grant (Snapdragon Speciation P32166, awarded to D.L.F.); ERC (Advanced
Grant HaplotypeStructure 101055327, awarded to NHB); ERC (POC Grant 101069216, awarded
to Y.F.C.) and the National Institutes of Health (NIH R35 GM136290, awarded to G.C.).
Y.F.C. was supported by the Max Planck Society. Computing infrastructure for bioinformatics
and analyses was provided by ISTA High Performance Cluster. '
article_number: e70067
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Arka
full_name: Pal, Arka
id: 6AAB2240-CA9A-11E9-9C1A-D9D1E5697425
last_name: Pal
orcid: 0000-0002-4530-8469
- first_name: Daria
full_name: Shipilina, Daria
id: 428A94B0-F248-11E8-B48F-1D18A9856A87
last_name: Shipilina
orcid: 0000-0002-1145-9226
- first_name: Alan
full_name: Le Moan, Alan
last_name: Le Moan
- first_name: Adrian J.
full_name: Mcnairn, Adrian J.
last_name: Mcnairn
- first_name: Jennifer K.
full_name: Grenier, Jennifer K.
last_name: Grenier
- first_name: Marek
full_name: Kucka, Marek
last_name: Kucka
- first_name: Graham
full_name: Coop, Graham
last_name: Coop
- first_name: Yingguang Frank
full_name: Chan, Yingguang Frank
last_name: Chan
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: David
full_name: Field, David
id: 419049E2-F248-11E8-B48F-1D18A9856A87
last_name: Field
orcid: 0000-0002-4014-8478
- first_name: Sean
full_name: Stankowski, Sean
id: 43161670-5719-11EA-8025-FABC3DDC885E
last_name: Stankowski
citation:
ama: Pal A, Shipilina D, Le Moan A, et al. Genealogical analysis of replicate flower
colour hybrid zones in Antirrhinum. Molecular Ecology. 2025;34(22). doi:10.1111/mec.70067
apa: Pal, A., Shipilina, D., Le Moan, A., Mcnairn, A. J., Grenier, J. K., Kucka,
M., … Stankowski, S. (2025). Genealogical analysis of replicate flower colour
hybrid zones in Antirrhinum. Molecular Ecology. Wiley. https://doi.org/10.1111/mec.70067
chicago: Pal, Arka, Daria Shipilina, Alan Le Moan, Adrian J. Mcnairn, Jennifer K.
Grenier, Marek Kucka, Graham Coop, et al. “Genealogical Analysis of Replicate
Flower Colour Hybrid Zones in Antirrhinum.” Molecular Ecology. Wiley, 2025.
https://doi.org/10.1111/mec.70067.
ieee: A. Pal et al., “Genealogical analysis of replicate flower colour hybrid
zones in Antirrhinum,” Molecular Ecology, vol. 34, no. 22. Wiley, 2025.
ista: Pal A, Shipilina D, Le Moan A, Mcnairn AJ, Grenier JK, Kucka M, Coop G, Chan
YF, Barton NH, Field D, Stankowski S. 2025. Genealogical analysis of replicate
flower colour hybrid zones in Antirrhinum. Molecular Ecology. 34(22), e70067.
mla: Pal, Arka, et al. “Genealogical Analysis of Replicate Flower Colour Hybrid
Zones in Antirrhinum.” Molecular Ecology, vol. 34, no. 22, e70067, Wiley,
2025, doi:10.1111/mec.70067.
short: A. Pal, D. Shipilina, A. Le Moan, A.J. Mcnairn, J.K. Grenier, M. Kucka, G.
Coop, Y.F. Chan, N.H. Barton, D. Field, S. Stankowski, Molecular Ecology 34 (2025).
corr_author: '1'
date_created: 2025-08-17T22:01:37Z
date_published: 2025-11-01T00:00:00Z
date_updated: 2026-09-27T22:30:40Z
day: '01'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1111/mec.70067
external_id:
isi:
- '001546622100001'
file:
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checksum: c586fc674df4e7dd6e43aef87a52c6f6
content_type: application/pdf
creator: dernst
date_created: 2026-01-05T13:47:47Z
date_updated: 2026-01-05T13:47:47Z
file_id: '20958'
file_name: 2025_MolecEcology_Pal.pdf
file_size: 9886694
relation: main_file
success: 1
file_date_updated: 2026-01-05T13:47:47Z
fulldoi: https://doi.org/10.1111/mec.70067
has_accepted_license: '1'
intvolume: ' 34'
isi: 1
issue: '22'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
project:
- _id: 05959E1C-7A3F-11EA-A408-12923DDC885E
grant_number: P32166
name: Snapdragon Speciation
- _id: bd6958e0-d553-11ed-ba76-86eba6a76c00
grant_number: '101055327'
name: Understanding the evolution of continuous genomes
publication: Molecular Ecology
publication_identifier:
eissn:
- 1365-294X
issn:
- 0962-1083
publication_status: published
publisher: Wiley
quality_controlled: '1'
related_material:
link:
- description: News on ISTA website
relation: press_release
url: https://ista.ac.at/en/news/snapdragon-secrets/
record:
- id: '20694'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Genealogical analysis of replicate flower colour hybrid zones in Antirrhinum
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 34
year: '2025'
...
---
OA_type: green
_id: '21967'
abstract:
- lang: eng
text: "Selection against deleterious mutations, called purifying selection, plays
a central role in evolution and acts in all populations. It is known that the
genetic patterns observed in genomic regions undergoing purifying selection differ
from those resulting from neutral evolution. However, a comprehensive understanding
of the underlying mechanisms shaping those patterns is still lacking.\r\n\r\nIn
the present work, we use simulations combined with a genealogical approach to
identify the effect of purifying selection on the ancestry and thus on the genetic
diversity. Our analysis relies on the postulate that the genealogy belongs to
the universality class of Beta-coalescents. Under this assumption, we derive statistics
measuring the distortion of the genealogy. This approach allows us to consider
a wide range of regimes (i.e. arbitrary selection and mutation strengths) and
uncover a rich phase diagram. We find that, for strong selection, the limiting
genealogy is given by Kingman’s coalescent on a polynomial timescale. As selection
gets weaker, Muller’s ratchet starts operating, setting off the emergence of multiple
mergers in the genealogical structures. Our results show that while multiple-merger
coalescents are often interpreted as the signature of selective sweeps in rapidly
adapting populations, these structures can also appear in the context of Muller’s
ratchet."
acknowledgement: This work was supported by the Austrian Academy of Science, DOC fellowship
No 26293 (K.K.) and the European Union’s Horizon 2020 research and innovation programme
under the Marie Skłodowska-Curie grant agreement No 101034413 (J.T.). Simulations
were performed on the ISTA High-performance Computing Cluster.
article_processing_charge: No
author:
- first_name: Kseniia
full_name: Khudiakova, Kseniia
id: 4E6DC800-AE37-11E9-AC72-31CAE5697425
last_name: Khudiakova
orcid: 0000-0002-6246-1465
- first_name: Florin
full_name: Boenkost, Florin
last_name: Boenkost
- first_name: Julie N
full_name: Tourniaire, Julie N
id: 5dc06dd8-8e51-11ec-9170-8d9c450cc216
last_name: Tourniaire
citation:
ama: Khudiakova K, Boenkost F, Tourniaire JN. Genealogies under purifying selection.
bioRxiv. doi:10.1101/2024.10.15.618444
apa: Khudiakova, K., Boenkost, F., & Tourniaire, J. N. (n.d.). Genealogies under
purifying selection. bioRxiv. https://doi.org/10.1101/2024.10.15.618444
chicago: Khudiakova, Kseniia, Florin Boenkost, and Julie N Tourniaire. “Genealogies
under Purifying Selection.” BioRxiv, n.d. https://doi.org/10.1101/2024.10.15.618444.
ieee: K. Khudiakova, F. Boenkost, and J. N. Tourniaire, “Genealogies under purifying
selection,” bioRxiv. .
ista: Khudiakova K, Boenkost F, Tourniaire JN. Genealogies under purifying selection.
bioRxiv, 10.1101/2024.10.15.618444.
mla: Khudiakova, Kseniia, et al. “Genealogies under Purifying Selection.” BioRxiv,
doi:10.1101/2024.10.15.618444.
short: K. Khudiakova, F. Boenkost, J.N. Tourniaire, BioRxiv (n.d.).
corr_author: '1'
date_created: 2026-06-09T12:14:08Z
date_published: 2024-10-18T00:00:00Z
date_updated: 2026-06-12T12:43:34Z
day: '18'
department:
- _id: NiBa
- _id: JaMa
doi: 10.1101/2024.10.15.618444
ec_funded: 1
fulldoi: https://doi.org/10.1101/2024.10.15.618444
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1101/2024.10.15.618444
month: '10'
oa: 1
oa_version: Preprint
project:
- _id: 34d33d68-11ca-11ed-8bc3-ec13763c0ca8
grant_number: '26293'
name: The impact of deleterious mutations on small populations
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
call_identifier: H2020
grant_number: '101034413'
name: 'IST-BRIDGE: International postdoctoral program'
publication: bioRxiv
publication_status: draft
related_material:
record:
- id: '21918'
relation: dissertation_contains
status: public
status: public
title: Genealogies under purifying selection
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: preprint
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2024'
...
---
OA_place: publisher
OA_type: hybrid
_id: '14463'
abstract:
- lang: eng
text: Inversions are thought to play a key role in adaptation and speciation, suppressing
recombination between diverging populations. Genes influencing adaptive traits
cluster in inversions, and changes in inversion frequencies are associated with
environmental differences. However, in many organisms, it is unclear if inversions
are geographically and taxonomically widespread. The intertidal snail, Littorina
saxatilis, is one such example. Strong associations between putative polymorphic
inversions and phenotypic differences have been demonstrated between two ecotypes
of L. saxatilis in Sweden and inferred elsewhere, but no direct evidence for inversion
polymorphism currently exists across the species range. Using whole genome data
from 107 snails, most inversion polymorphisms were found to be widespread across
the species range. The frequencies of some inversion arrangements were significantly
different among ecotypes, suggesting a parallel adaptive role. Many inversions
were also polymorphic in the sister species, L. arcana, hinting at an ancient
origin.
acknowledgement: We would like to thank members of the Littorina team for their advice
and feedback during this project. In particular, we thank Alan Le Moan, who inspired
us to look at heterozygosity differences to identify inversions, and Katherine Hearn
for helping with the PCA scripts. We thank Edinburgh Genomics for library preparation
and sequencing. Sample collections, sequencing and data preparation were supported
by the European Research Council (ERC-2015-AdG-693030- BARRIERS) and the Natural
Environment Research Council (NE/P001610/1). The analysis was supported by the Swedish
Research Council (vetenskaprådet; 2018-03695_VR) and the Portuguese Foundation for
Science and Technology (Fundación para a Ciência e Tecnologia) through a research
project (PTDC/BIA-EVL/1614/2021) and CEEC contract (2020.00275.CEECIND).
article_number: e17160
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: James
full_name: Reeve, James
last_name: Reeve
- first_name: Roger K.
full_name: Butlin, Roger K.
last_name: Butlin
- first_name: Eva L.
full_name: Koch, Eva L.
last_name: Koch
- first_name: Sean
full_name: Stankowski, Sean
id: 43161670-5719-11EA-8025-FABC3DDC885E
last_name: Stankowski
- first_name: Rui
full_name: Faria, Rui
last_name: Faria
citation:
ama: Reeve J, Butlin RK, Koch EL, Stankowski S, Faria R. Chromosomal inversion polymorphisms
are widespread across the species ranges of rough periwinkles (Littorina saxatilis
and L. arcana). Molecular Ecology. 2024;33(24). doi:10.1111/mec.17160
apa: Reeve, J., Butlin, R. K., Koch, E. L., Stankowski, S., & Faria, R. (2024).
Chromosomal inversion polymorphisms are widespread across the species ranges of
rough periwinkles (Littorina saxatilis and L. arcana). Molecular Ecology.
Wiley. https://doi.org/10.1111/mec.17160
chicago: Reeve, James, Roger K. Butlin, Eva L. Koch, Sean Stankowski, and Rui Faria.
“Chromosomal Inversion Polymorphisms Are Widespread across the Species Ranges
of Rough Periwinkles (Littorina Saxatilis and L. Arcana).” Molecular Ecology.
Wiley, 2024. https://doi.org/10.1111/mec.17160.
ieee: J. Reeve, R. K. Butlin, E. L. Koch, S. Stankowski, and R. Faria, “Chromosomal
inversion polymorphisms are widespread across the species ranges of rough periwinkles
(Littorina saxatilis and L. arcana),” Molecular Ecology, vol. 33, no. 24.
Wiley, 2024.
ista: Reeve J, Butlin RK, Koch EL, Stankowski S, Faria R. 2024. Chromosomal inversion
polymorphisms are widespread across the species ranges of rough periwinkles (Littorina
saxatilis and L. arcana). Molecular Ecology. 33(24), e17160.
mla: Reeve, James, et al. “Chromosomal Inversion Polymorphisms Are Widespread across
the Species Ranges of Rough Periwinkles (Littorina Saxatilis and L. Arcana).”
Molecular Ecology, vol. 33, no. 24, e17160, Wiley, 2024, doi:10.1111/mec.17160.
short: J. Reeve, R.K. Butlin, E.L. Koch, S. Stankowski, R. Faria, Molecular Ecology
33 (2024).
date_created: 2023-10-29T23:01:17Z
date_published: 2024-12-01T00:00:00Z
date_updated: 2025-01-09T07:53:18Z
day: '01'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1111/mec.17160
external_id:
isi:
- '001085119000001'
pmid:
- '37843465'
file:
- access_level: open_access
checksum: 686576036663f489c2d079df3079d126
content_type: application/pdf
creator: dernst
date_created: 2025-01-09T07:52:12Z
date_updated: 2025-01-09T07:52:12Z
file_id: '18785'
file_name: 2024_MolecularEcology_Reeve.pdf
file_size: 6228700
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success: 1
file_date_updated: 2025-01-09T07:52:12Z
fulldoi: https://doi.org/10.1111/mec.17160
has_accepted_license: '1'
intvolume: ' 33'
isi: 1
issue: '24'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
pmid: 1
publication: Molecular Ecology
publication_identifier:
eissn:
- 1365-294X
issn:
- 0962-1083
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Chromosomal inversion polymorphisms are widespread across the species ranges
of rough periwinkles (Littorina saxatilis and L. arcana)
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 33
year: '2024'
...
---
OA_place: publisher
_id: '14711'
abstract:
- lang: eng
text: "In nature, different species find their niche in a range of environments,
each with its unique characteristics. While some thrive in uniform (homogeneous)
landscapes where environmental conditions stay relatively consistent across space,
others traverse the complexities of spatially heterogeneous terrains. Comprehending
how species are distributed and how they interact within these landscapes holds
the key to gaining insights into their evolutionary dynamics while also informing
conservation and management strategies.\r\n\r\nFor species inhabiting heterogeneous
landscapes, when the rate of dispersal is low compared to spatial fluctuations
in selection pressure, localized adaptations may emerge. Such adaptation in response
to varying selection strengths plays an important role in the persistence of populations
in our rapidly changing world. Hence, species in nature are continuously in a
struggle to adapt to local environmental conditions, to ensure their continued
survival. Natural populations can often adapt in time scales short enough for
evolutionary changes to influence ecological dynamics and vice versa, thereby
creating a feedback between evolution and demography. The analysis of this feedback
and the relative contributions of gene flow, demography, drift, and natural selection
to genetic variation and differentiation has remained a recurring theme in evolutionary
biology. Nevertheless, the effective role of these forces in maintaining variation
and shaping patterns of diversity is not fully understood. Even in homogeneous
environments devoid of local adaptations, such understanding remains elusive.
Understanding this feedback is crucial, for example in determining the conditions
under which extinction risk can be mitigated in peripheral populations subject
to deleterious mutation accumulation at the edges of species’ ranges\r\nas well
as in highly fragmented populations.\r\n\r\nIn this thesis we explore both uniform
and spatially heterogeneous metapopulations, investigating and providing theoretical
insights into the dynamics of local adaptation in the latter and examining the
dynamics of load and extinction as well as the impact of joint ecological and
evolutionary (eco-evolutionary) dynamics in the former. The thesis is divided
into 5 chapters.\r\n\r\nChapter 1 provides a general introduction into the subject
matter, clarifying concepts and ideas used throughout the thesis. In chapter 2,
we explore how fast a species distributed across a heterogeneous landscape adapts
to changing conditions marked by alterations in carrying capacity, selection pressure,
and migration rate.\r\n\r\nIn chapter 3, we investigate how migration selection
and drift influences adaptation and the maintenance of variation in a metapopulation
with three habitats, an extension of previous models of adaptation in two habitats.
We further develop analytical approximations for the critical threshold required
for polymorphism to persist.\r\n\r\nThe focus of chapter 4 of the thesis is on
understanding the interplay between ecology and evolution as coupled processes.
We investigate how eco-evolutionary feedback between migration, selection, drift,
and demography influences eco-evolutionary outcomes in marginal populations subject
to deleterious mutation accumulation. Using simulations as well as theoretical
approximations of the coupled dynamics of population size and allele frequency,
we analyze how gene flow from a large mainland source influences genetic load
and population size on an island (i.e., in a marginal population) under genetically
realistic assumptions. Analyses of this sort are important because small isolated
populations, are repeatedly affected by complex interactions between ecological
and evolutionary processes, which can lead to their death. Understanding these
interactions can therefore provide an insight into the conditions under which
extinction risk can be mitigated in peripheral populations thus, contributing
to conservation and restoration efforts.\r\n\r\nChapter 5 extends the analysis
in chapter 4 to consider the dynamics of load (due to deleterious mutation accumulation)
and extinction risk in a metapopulation. We explore the role of gene flow, selection,
and dominance on load and extinction risk and further pinpoint critical thresholds
required for metapopulation persistence.\r\n\r\nOverall this research contributes
to our understanding of ecological and evolutionary mechanisms that shape species’
persistence in fragmented landscapes, a crucial foundation for successful conservation
efforts and biodiversity management."
acknowledged_ssus:
- _id: SSU
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Oluwafunmilola O
full_name: Olusanya, Oluwafunmilola O
id: 41AD96DC-F248-11E8-B48F-1D18A9856A87
last_name: Olusanya
orcid: 0000-0003-1971-8314
citation:
ama: Olusanya OO. Local adaptation, genetic load and extinction in metapopulations.
2024. doi:10.15479/at:ista:14711
apa: Olusanya, O. O. (2024). Local adaptation, genetic load and extinction in
metapopulations. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:14711
chicago: Olusanya, Oluwafunmilola O. “Local Adaptation, Genetic Load and Extinction
in Metapopulations.” Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:14711.
ieee: O. O. Olusanya, “Local adaptation, genetic load and extinction in metapopulations,”
Institute of Science and Technology Austria, 2024.
ista: Olusanya OO. 2024. Local adaptation, genetic load and extinction in metapopulations.
Institute of Science and Technology Austria.
mla: Olusanya, Oluwafunmilola O. Local Adaptation, Genetic Load and Extinction
in Metapopulations. Institute of Science and Technology Austria, 2024, doi:10.15479/at:ista:14711.
short: O.O. Olusanya, Local Adaptation, Genetic Load and Extinction in Metapopulations,
Institute of Science and Technology Austria, 2024.
corr_author: '1'
date_created: 2023-12-26T22:49:53Z
date_published: 2024-01-19T00:00:00Z
date_updated: 2026-04-07T12:54:29Z
day: '19'
ddc:
- '576'
degree_awarded: PhD
department:
- _id: NiBa
- _id: GradSch
doi: 10.15479/at:ista:14711
ec_funded: 1
file:
- access_level: closed
checksum: de179b1c6758f182ff0c70d8b38c1501
content_type: application/zip
creator: oolusany
date_created: 2024-01-03T18:30:13Z
date_updated: 2024-01-03T18:30:13Z
file_id: '14730'
file_name: FinalSubmission_Thesis_OLUSANYA.zip
file_size: 16986244
relation: source_file
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checksum: 0e331585e3cd4823320aab4e69e64ccf
content_type: application/pdf
creator: oolusany
date_created: 2024-01-03T18:31:34Z
date_updated: 2024-01-03T18:31:34Z
file_id: '14731'
file_name: FinalSubmission2_Thesis_OLUSANYA.pdf
file_size: 6460403
relation: main_file
success: 1
file_date_updated: 2024-01-03T18:31:34Z
fulldoi: https://doi.org/10.15479/at:ista:14711
has_accepted_license: '1'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
page: '183'
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
- _id: c08d3278-5a5b-11eb-8a69-fdb09b55f4b8
grant_number: P32896
name: Causes and consequences of population fragmentation
- _id: 34c872fe-11ca-11ed-8bc3-8534b82131e6
grant_number: '26380'
name: Polygenic Adaptation in a Metapopulation
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
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relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Jitka
full_name: Polechova, Jitka
last_name: Polechova
- first_name: Himani
full_name: Sachdeva, Himani
last_name: Sachdeva
title: Local adaptation, genetic load and extinction in metapopulations
tmp:
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name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC
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short: CC BY-NC-SA (4.0)
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2024'
...
---
OA_place: publisher
_id: '15020'
abstract:
- lang: eng
text: "This thesis consists of four distinct pieces of work within theoretical biology,
with two themes in common: the concept of optimization in biological systems,
and the use of information-theoretic tools to quantify biological stochasticity
and statistical uncertainty.\r\nChapter 2 develops a statistical framework for
studying biological systems which we believe to be optimized for a particular
utility function, such as retinal neurons conveying information about visual stimuli.
We formalize such beliefs as maximum-entropy Bayesian priors, constrained by the
expected utility. We explore how such priors aid inference of system parameters
with limited data and enable optimality hypothesis testing: is the utility higher
than by chance?\r\nChapter 3 examines the ultimate biological optimization process:
evolution by natural selection. As some individuals survive and reproduce more
successfully than others, populations evolve towards fitter genotypes and phenotypes.
We formalize this as accumulation of genetic information, and use population genetics
theory to study how much such information can be accumulated per generation and
maintained in the face of random mutation and genetic drift. We identify the population
size and fitness variance as the key quantities that control information accumulation
and maintenance.\r\nChapter 4 reuses the concept of genetic information from Chapter
3, but from a different perspective: we ask how much genetic information organisms
actually need, in particular in the context of gene regulation. For example, how
much information is needed to bind transcription factors at correct locations
within the genome? Population genetics provides us with a refined answer: with
an increasing population size, populations achieve higher fitness by maintaining
more genetic information. Moreover, regulatory parameters experience selection
pressure to optimize the fitness-information trade-off, i.e. minimize the information
needed for a given fitness. This provides an evolutionary derivation of the optimization
priors introduced in Chapter 2.\r\nChapter 5 proves an upper bound on mutual information
between a signal and a communication channel output (such as neural activity).
Mutual information is an important utility measure for biological systems, but
its practical use can be difficult due to the large dimensionality of many biological
channels. Sometimes, a lower bound on mutual information is computed by replacing
the high-dimensional channel outputs with decodes (signal estimates). Our result
provides a corresponding upper bound, provided that the decodes are the maximum
posterior estimates of the signal."
acknowledged_ssus:
- _id: ScienComp
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Michal
full_name: Hledik, Michal
id: 4171253A-F248-11E8-B48F-1D18A9856A87
last_name: Hledik
citation:
ama: Hledik M. Genetic information and biological optimization. 2024. doi:10.15479/at:ista:15020
apa: Hledik, M. (2024). Genetic information and biological optimization.
Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:15020
chicago: Hledik, Michal. “Genetic Information and Biological Optimization.” Institute
of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:15020.
ieee: M. Hledik, “Genetic information and biological optimization,” Institute of
Science and Technology Austria, 2024.
ista: Hledik M. 2024. Genetic information and biological optimization. Institute
of Science and Technology Austria.
mla: Hledik, Michal. Genetic Information and Biological Optimization. Institute
of Science and Technology Austria, 2024, doi:10.15479/at:ista:15020.
short: M. Hledik, Genetic Information and Biological Optimization, Institute of
Science and Technology Austria, 2024.
corr_author: '1'
date_created: 2024-02-23T14:02:04Z
date_published: 2024-02-23T00:00:00Z
date_updated: 2026-04-07T12:59:25Z
day: '23'
ddc:
- '576'
- '519'
degree_awarded: PhD
department:
- _id: GradSch
- _id: NiBa
- _id: GaTk
doi: 10.15479/at:ista:15020
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has_accepted_license: '1'
keyword:
- Theoretical biology
- Optimality
- Evolution
- Information
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: '158'
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
- _id: 2665AAFE-B435-11E9-9278-68D0E5697425
grant_number: RGP0034/2018
name: Can evolution minimize spurious signaling crosstalk to reach optimal performance?
- _id: bd6958e0-d553-11ed-ba76-86eba6a76c00
grant_number: '101055327'
name: Understanding the evolution of continuous genomes
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '7606'
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status: public
- id: '12081'
relation: part_of_dissertation
status: public
- id: '7553'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Gašper
full_name: Tkačik, Gašper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkačik
orcid: 0000-0002-6699-1455
title: Genetic information and biological optimization
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2024'
...
---
_id: '15099'
abstract:
- lang: eng
text: Speciation is a key evolutionary process that is not yet fully understood.
Combining population genomic and ecological data from multiple diverging pairs
of marine snails (Littorina) supports the search for speciation mechanisms. Placing
pairs on a one-dimensional speciation continuum, from undifferentiated populations
to species, obscured the complexity of speciation. Adding multiple axes helped
to describe either speciation routes or reproductive isolation in the snails.
Divergent ecological selection repeatedly generated barriers between ecotypes,
but appeared less important in completing speciation while genetic incompatibilities
played a key role. Chromosomal inversions contributed to genomic barriers, but
with variable impact. A multidimensional (hypercube) approach supported framing
of questions and identification of knowledge gaps and can be useful to understand
speciation in many other systems.
acknowledgement: KJ, MR, and RKB were supported by grants from the Swedish Research
Council (2021-0419, 2021-05243, and 2018-03695, respectively). RKB was also supported
by the Leverhulme Trust (RPG-2021-141), RF by FCT- Portuguese Science Foundation
(PTDC/BIA-EVL/1614/2021 and 2020.00275.CEECIND), and AMW by Norwegian Research Council
RCN (Project number 315287). We thank the members of the Integration of Speciation
Research network for stimulating discussions, the Littorina research community for
important contributions of data and analyses, and Cynthia Riginos for useful comments
on an earlier draft.
article_processing_charge: Yes (in subscription journal)
article_type: review
author:
- first_name: Kerstin
full_name: Johannesson, Kerstin
last_name: Johannesson
- first_name: Rui
full_name: Faria, Rui
last_name: Faria
- first_name: Alan
full_name: Le Moan, Alan
last_name: Le Moan
- first_name: Marina
full_name: Rafajlović, Marina
last_name: Rafajlović
- first_name: Anja M
full_name: Westram, Anja M
id: 3C147470-F248-11E8-B48F-1D18A9856A87
last_name: Westram
orcid: 0000-0003-1050-4969
- first_name: Roger K.
full_name: Butlin, Roger K.
last_name: Butlin
- first_name: Sean
full_name: Stankowski, Sean
id: 43161670-5719-11EA-8025-FABC3DDC885E
last_name: Stankowski
citation:
ama: Johannesson K, Faria R, Le Moan A, et al. Diverse pathways to speciation revealed
by marine snails. Trends in Genetics. 2024;40(4):337-351. doi:10.1016/j.tig.2024.01.002
apa: Johannesson, K., Faria, R., Le Moan, A., Rafajlović, M., Westram, A. M., Butlin,
R. K., & Stankowski, S. (2024). Diverse pathways to speciation revealed by
marine snails. Trends in Genetics. Elsevier. https://doi.org/10.1016/j.tig.2024.01.002
chicago: Johannesson, Kerstin, Rui Faria, Alan Le Moan, Marina Rafajlović, Anja
M Westram, Roger K. Butlin, and Sean Stankowski. “Diverse Pathways to Speciation
Revealed by Marine Snails.” Trends in Genetics. Elsevier, 2024. https://doi.org/10.1016/j.tig.2024.01.002.
ieee: K. Johannesson et al., “Diverse pathways to speciation revealed by
marine snails,” Trends in Genetics, vol. 40, no. 4. Elsevier, pp. 337–351,
2024.
ista: Johannesson K, Faria R, Le Moan A, Rafajlović M, Westram AM, Butlin RK, Stankowski
S. 2024. Diverse pathways to speciation revealed by marine snails. Trends in Genetics.
40(4), 337–351.
mla: Johannesson, Kerstin, et al. “Diverse Pathways to Speciation Revealed by Marine
Snails.” Trends in Genetics, vol. 40, no. 4, Elsevier, 2024, pp. 337–51,
doi:10.1016/j.tig.2024.01.002.
short: K. Johannesson, R. Faria, A. Le Moan, M. Rafajlović, A.M. Westram, R.K. Butlin,
S. Stankowski, Trends in Genetics 40 (2024) 337–351.
date_created: 2024-03-10T23:00:54Z
date_published: 2024-04-01T00:00:00Z
date_updated: 2025-09-04T12:18:08Z
day: '01'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1016/j.tig.2024.01.002
external_id:
isi:
- '001224671300001'
pmid:
- '38395682'
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issue: '4'
language:
- iso: eng
month: '04'
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publication: Trends in Genetics
publication_identifier:
eissn:
- 1362-4555
issn:
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publisher: Elsevier
quality_controlled: '1'
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title: Diverse pathways to speciation revealed by marine snails
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year: '2024'
...
---
_id: '15358'
abstract:
- lang: eng
text: 'We consider how a population of N haploid individuals responds to directional
selection on standing variation, with no new variation from recombination or mutation.
Individuals have trait values z1,…,zN, which are drawn from a distribution ψ;
the fitness of individual i is proportional to [Formula: see text] . For illustration,
we consider the Laplace and Gaussian distributions, which are parametrised only
by the variance V0, and show that for large N, there is a scaling limit which
depends on a single parameter NV0. When selection is weak relative to drift (NV0≪1),
the variance decreases exponentially at rate 1/N, and the expected ultimate gain
in log fitness (scaled by V0), is just NV0, which is the same as Robertson''s
(1960) prediction for a sexual population. In contrast, when selection is strong
relative to drift (NV0≫1), the ultimate gain can be found by approximating the
establishment of alleles by a branching process in which each allele competes
independently with the population mean and the fittest allele to establish is
certain to fix. Then, if the probability of survival to time t∼1/V0 of an allele
with value z is P(z), with mean P¯, the winning allele is the fittest of NP¯ survivors
drawn from a distribution ψP/P¯. The expected ultimate change is ∼2log(1.15NV0)
for a Gaussian distribution, and ∼-12log0.36NV0-log-log0.36NV0 for a Laplace distribution.
This approach also predicts the variability of the process, and its dynamics;
we show that in the strong selection regime, the expected genetic variance decreases
as ∼t-3 at large times. We discuss how these results may be related to selection
on standing variation that is spread along a linear chromosome.'
acknowledgement: We thank Emmanuel Schertzer and two reviewers for comments on this
manuscript. NB thanks the European Research Council for support via the grant “HaplotypeStructure”
101055327. We would also like to give our sincere thanks to Alison Etheridge for
her insight, inspiration and support over the years.
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Himani
full_name: Sachdeva, Himani
id: 42377A0A-F248-11E8-B48F-1D18A9856A87
last_name: Sachdeva
citation:
ama: Barton NH, Sachdeva H. Limits to selection on standing variation in an asexual
population. Theoretical Population Biology. 2024;157:129-137. doi:10.1016/j.tpb.2024.04.001
apa: Barton, N. H., & Sachdeva, H. (2024). Limits to selection on standing variation
in an asexual population. Theoretical Population Biology. Elsevier. https://doi.org/10.1016/j.tpb.2024.04.001
chicago: Barton, Nicholas H, and Himani Sachdeva. “Limits to Selection on Standing
Variation in an Asexual Population.” Theoretical Population Biology. Elsevier,
2024. https://doi.org/10.1016/j.tpb.2024.04.001.
ieee: N. H. Barton and H. Sachdeva, “Limits to selection on standing variation in
an asexual population,” Theoretical Population Biology, vol. 157. Elsevier,
pp. 129–137, 2024.
ista: Barton NH, Sachdeva H. 2024. Limits to selection on standing variation in
an asexual population. Theoretical Population Biology. 157, 129–137.
mla: Barton, Nicholas H., and Himani Sachdeva. “Limits to Selection on Standing
Variation in an Asexual Population.” Theoretical Population Biology, vol.
157, Elsevier, 2024, pp. 129–37, doi:10.1016/j.tpb.2024.04.001.
short: N.H. Barton, H. Sachdeva, Theoretical Population Biology 157 (2024) 129–137.
corr_author: '1'
date_created: 2024-05-05T22:01:03Z
date_published: 2024-06-01T00:00:00Z
date_updated: 2025-09-04T13:56:11Z
day: '01'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1016/j.tpb.2024.04.001
external_id:
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- '001237016800001'
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- '38643838'
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language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
page: 129-137
pmid: 1
project:
- _id: bd6958e0-d553-11ed-ba76-86eba6a76c00
grant_number: '101055327'
name: Understanding the evolution of continuous genomes
publication: Theoretical Population Biology
publication_identifier:
eissn:
- 1096-0325
issn:
- 0040-5809
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Limits to selection on standing variation in an asexual population
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user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
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...
---
OA_place: repository
_id: '18498'
abstract:
- lang: eng
text: 'Scripts and data used in the research study Predicting rapid adaptation in
time from adaptation in space: a 30-year field experiment in marine snails. https://doi.org/10.1101/2023.09.27.559715'
article_processing_charge: No
author:
- first_name: Diego Fernando
full_name: Garcia Castillo, Diego Fernando
id: ae681a14-dc74-11ea-a0a7-c6ef18161701
last_name: Garcia Castillo
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Rui
full_name: Faria, Rui
last_name: Faria
- first_name: Jenny
full_name: Larsson, Jenny
last_name: Larsson
- first_name: Sean
full_name: Stankowski, Sean
id: 43161670-5719-11EA-8025-FABC3DDC885E
last_name: Stankowski
- first_name: Roger
full_name: Butlin, Roger
last_name: Butlin
- first_name: Kerstin
full_name: Johannesson, Kerstin
last_name: Johannesson
- first_name: Anja M
full_name: Westram, Anja M
id: 3C147470-F248-11E8-B48F-1D18A9856A87
last_name: Westram
orcid: 0000-0003-1050-4969
citation:
ama: 'Garcia Castillo DF, Barton NH, Faria R, et al. Data and code for: Predicting
rapid adaptation in time from adaptation in space: a 30-year field experiment
in marine snails. 2024. doi:10.5281/ZENODO.12159343'
apa: 'Garcia Castillo, D. F., Barton, N. H., Faria, R., Larsson, J., Stankowski,
S., Butlin, R., … Westram, A. M. (2024). Data and code for: Predicting rapid adaptation
in time from adaptation in space: a 30-year field experiment in marine snails.
Zenodo. https://doi.org/10.5281/ZENODO.12159343'
chicago: 'Garcia Castillo, Diego Fernando, Nicholas H Barton, Rui Faria, Jenny Larsson,
Sean Stankowski, Roger Butlin, Kerstin Johannesson, and Anja M Westram. “Data
and Code for: Predicting Rapid Adaptation in Time from Adaptation in Space: A
30-Year Field Experiment in Marine Snails.” Zenodo, 2024. https://doi.org/10.5281/ZENODO.12159343.'
ieee: 'D. F. Garcia Castillo et al., “Data and code for: Predicting rapid
adaptation in time from adaptation in space: a 30-year field experiment in marine
snails.” Zenodo, 2024.'
ista: 'Garcia Castillo DF, Barton NH, Faria R, Larsson J, Stankowski S, Butlin R,
Johannesson K, Westram AM. 2024. Data and code for: Predicting rapid adaptation
in time from adaptation in space: a 30-year field experiment in marine snails,
Zenodo, 10.5281/ZENODO.12159343.'
mla: 'Garcia Castillo, Diego Fernando, et al. Data and Code for: Predicting Rapid
Adaptation in Time from Adaptation in Space: A 30-Year Field Experiment in Marine
Snails. Zenodo, 2024, doi:10.5281/ZENODO.12159343.'
short: D.F. Garcia Castillo, N.H. Barton, R. Faria, J. Larsson, S. Stankowski, R.
Butlin, K. Johannesson, A.M. Westram, (2024).
corr_author: '1'
date_created: 2024-11-04T09:33:17Z
date_published: 2024-06-19T00:00:00Z
date_updated: 2026-04-16T12:20:37Z
day: '19'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.5281/ZENODO.12159343
fulldoi: https://doi.org/10.5281/ZENODO.12159343
has_accepted_license: '1'
main_file_link:
- open_access: '1'
url: https://doi.org/10.5281/zenodo.12159344
month: '06'
oa: 1
oa_version: Published Version
publisher: Zenodo
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status: public
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status: public
status: public
title: 'Data and code for: Predicting rapid adaptation in time from adaptation in
space: a 30-year field experiment in marine snails'
tmp:
image: /images/cc_by.png
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type: research_data_reference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2024'
...
---
OA_place: publisher
OA_type: gold
_id: '18515'
abstract:
- lang: eng
text: "Understanding the role of evolutionary processes in shaping genetic variation
has been a\r\nprimary goal in evolutionary genetics. In this regard, a key question
is how genetically\r\ndistinct populations evolve in the face of gene flow, thereby
generating genetic and\r\nphenotypic divergence and reproductive isolation (RI).
This requires quantifying the role\r\nand relative contributions of prezygotic
and postzygotic isolating mechanisms on the\r\nreduction of gene exchange between
populations, and identifying regions in the genome\r\nthat mediate RI, which is
often polygenic. Further, this needs distinguishing neutral and\r\nselected regions
in the genome, and discerning how selection influences patterns of neutral\r\ndivergence.\r\nPopulation
structure, defined as any deviation from panmixia, such as geographic distribution,
movement and mating patterns of individuals, influences how genetic variation
is\r\nstructured in space and shapes the neutral null model. Availability of large
scale spatial\r\ngenomic datasets now enables us to detect signatures of population
structure in genetic\r\ndata and infer population genetic parameters. Such inferences
are crucial and have wide\r\napplications in biodiversity, conservation genetics,
population management and medical\r\ngenetics. However, inferences are based on
assumptions that do not always match the\r\ncomplex reality, thus leading to erroneous
conclusions. Moreover, the role and interaction\r\nof heterogeneous population
density and dispersal, which are ubiquitous in nature, has\r\nbeen challenging
to study owing to their mathematical complexity. In such scenarios,\r\nfeedback
between theory, data and simulations can prove to be useful.\r\nIn this thesis,
I examine the effect of population structure on neutral genetic variation\r\nand
barriers to gene exchange in hybridising populations, thereby bridging together
the\r\nfields of spatial population genetics and speciation.\r\nDespite being
a key concept in speciation, reproductive isolation (RI) lacks a quantitative\r\ndefinition
and has been used and measured differently across different fields. Chapter 2\r\ngives
a quantitative definition of RI, in terms of the effect of genetic differences
on gene\r\nflow. We give analytical predictions for RI in a range of scenarios,
in terms of effective migration rates for discrete populations and barrier strength
for continuous populations.\r\nIn addition to this, we discuss current measures
of RI and their limitations, and propose\r\nthe need for new measures that combine
organismal and genetic perspectives of RI.\r\nIn chapter 3, I examine the combined
effect of assortative mating, sexual selection\r\nand viability selection on RI.
For this, we consider a polygenic ‘magic’ trait under a\r\nmainland-island model.
We obtain novel theoretical predictions for molecular divergence\r\nin terms of
effective migration rates, which bears a simple relationship to measurable\r\nfitness
components of migrants and various early generation hybrids. We explore the\r\nconditions
under which local adaptation can be maintained despite maladaptive gene flow\r\nand
quantify the relative contributions of viability and sexual selection to genome-wide\r\nbarriers
to gene flow.\r\nThe next two chapters of the thesis focus on a hybrid zone of
Antirrhinum majus that\r\nconsist of two subspecies- the magenta flowered A. m.
pseudomajus and the yellow\r\nflowered A.m. striatum. Previous studies have suggested
that flower colour is target of\r\npollinator mediated selection and is influenced
only by few genes. While these regions\r\nshow high genetic differentiation between
the subspecies, the rest of the genome is seen\r\nto be well mixed. Chapter 4
examines the effects of heterogeneous population density\r\nand leptokurtic dispersal
on isolation by distance and the distribution of heterozygosity\r\nby focusing
on non-flower colour markers.\r\nChapter 5 analyses cline shapes and associations
among 6 focal flower colour markers to\r\nunderstand how selection and dispersal
maintain this hybrid zone. We see sharp coincident\r\nstepped clines at all loci
and positive associations throughout the hybrid zone, contrary to\r\nthe expected
patterns from diffusive gene flow. With a novel scheme of inferring dispersal\r\ncombined
with multilocus simulations, we show that stepped clines do not reflect genetic\r\nbarriers
to gene flow, but are rather a result of long-distance migration. This framework\r\nallows
us to get realistic estimates gene flow and selection and shows how traditional
cline\r\nanalysis may lead to inaccurate conclusions when assumptions of the theory
are not met.\r\nOverall, this thesis investigates how different features of population
structure leave\r\ndetectable signatures in genetic variation, namely in patterns
of isolation by distance,\r\nlinkage disequilibrium and genetic divergence. It
also highlights how effective migration\r\nrates provide useful way of analysing
polygenic architectures and shed new light into\r\nhybrid zones. In doing so,
I identify scenarios when simple models become insufficient\r\nand suggest possibe
directions by combining genetic data with simulations."
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "I also acknowledge the funding agencies Marie Curie COFUND Doctoral
Fellowship,\r\nAustrian Science Fund FWF (grant P32166) and ERC (grant PR1000ERC02)
for financially\r\nsupporting my research over the years."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Parvathy
full_name: Surendranadh, Parvathy
id: 455235B8-F248-11E8-B48F-1D18A9856A87
last_name: Surendranadh
orcid: 0000-0001-6395-386X
citation:
ama: Surendranadh P. Effect of population structure on neutral genetic variation
and barriers to gene exchange. 2024. doi:10.15479/at:ista:18515
apa: Surendranadh, P. (2024). Effect of population structure on neutral genetic
variation and barriers to gene exchange. Institute of Science and Technology
Austria. https://doi.org/10.15479/at:ista:18515
chicago: Surendranadh, Parvathy. “Effect of Population Structure on Neutral Genetic
Variation and Barriers to Gene Exchange.” Institute of Science and Technology
Austria, 2024. https://doi.org/10.15479/at:ista:18515.
ieee: P. Surendranadh, “Effect of population structure on neutral genetic variation
and barriers to gene exchange,” Institute of Science and Technology Austria, 2024.
ista: Surendranadh P. 2024. Effect of population structure on neutral genetic variation
and barriers to gene exchange. Institute of Science and Technology Austria.
mla: Surendranadh, Parvathy. Effect of Population Structure on Neutral Genetic
Variation and Barriers to Gene Exchange. Institute of Science and Technology
Austria, 2024, doi:10.15479/at:ista:18515.
short: P. Surendranadh, Effect of Population Structure on Neutral Genetic Variation
and Barriers to Gene Exchange, Institute of Science and Technology Austria, 2024.
corr_author: '1'
date_created: 2024-11-06T21:25:37Z
date_published: 2024-11-07T00:00:00Z
date_updated: 2026-04-07T12:56:52Z
day: '07'
ddc:
- '576'
degree_awarded: PhD
department:
- _id: GradSch
- _id: NiBa
doi: 10.15479/at:ista:18515
file:
- access_level: open_access
checksum: c32cf7bc75748d9c551d8eb70178bbec
content_type: application/pdf
creator: psurendr
date_created: 2024-11-07T10:59:29Z
date_updated: 2024-11-07T10:59:29Z
file_id: '18519'
file_name: PhD_Thesis__Parvathy_071124_PDFA.pdf
file_size: 37019760
relation: main_file
success: 1
- access_level: closed
checksum: 4417e02d54084d89e75734e18caaa96d
content_type: application/zip
creator: psurendr
date_created: 2024-11-07T10:59:42Z
date_updated: 2024-11-07T10:59:42Z
file_id: '18520'
file_name: PhD Thesis- Parvathy_071124.zip
file_size: 41198857
relation: source_file
file_date_updated: 2024-11-07T10:59:42Z
fulldoi: https://doi.org/10.15479/at:ista:18515
has_accepted_license: '1'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
page: '219'
project:
- _id: 05959E1C-7A3F-11EA-A408-12923DDC885E
grant_number: P32166
name: Snapdragon Speciation
- _id: bd6958e0-d553-11ed-ba76-86eba6a76c00
grant_number: '101055327'
name: Understanding the evolution of continuous genomes
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
status: public
supervisor:
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
title: Effect of population structure on neutral genetic variation and barriers to
gene exchange
tmp:
image: /images/cc_by_nc_sa.png
legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC
BY-NC-SA 4.0)
short: CC BY-NC-SA (4.0)
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2024'
...
---
OA_place: repository
OA_type: green
_id: '18944'
abstract:
- lang: eng
text: 'Understanding connectivity patterns exhibited by endangered species living
in fragmented habitats is fundamental to improving management and conservation
actions. Such improvements can be particularly pressing at the trailing edges
of these habitats, where populations are facing the greatest challenges from climate
change, and appear even more crucial if the species is commercially harvested.
Seascape genetics have been increasingly used to meet these needs. In this study,
we examined connectivity patterns among 32 populations of the oarweed kelp Laminaria
digitata located at the species’ southern range limit. The distance
(or sampling gap) between neighboring populations ranged from a few km to a few
100s of km. By genotyping 11 microsatellite markers, we aimed to (1) refine analyses
of population structure; (2) test whether on-shelf islands are genetically more
differentiated than mainland populations; (3) evaluate the relative importance
of various abiotic conditions in shaping the genetic structure; and (4) evaluate
if the relative importance of each environmental factor varied according to sampling
schemes. Our analyses revealed a positive relationship between connectivity links
and genetic diversity: populations with high levels of connectivity were genetically
enriched while isolated populations showed signs of genetic erosion. The genetically
impoverished populations corresponded to the southernmost populations as well
as populations along the northern coast of Brittany (Locquirec, Saint-Malo Bay)
and the northernmost population in Pas-de-Calais. By performing distance-based
redundancy analysis on various sampling schemes, geographic distance appeared
as the dominant factor influencing connectivity between populations separated
by great distances, while hydrodynamic processes were the main factor when analyzing
at a final spatial resolution.'
article_processing_charge: No
article_type: original
author:
- first_name: Louise
full_name: Fouqueau, Louise
id: 1676e173-8143-11ed-8927-fe165216a93f
last_name: Fouqueau
orcid: 0000-0003-0371-9339
- first_name: L
full_name: Reynes, L
last_name: Reynes
- first_name: F
full_name: Tempera, F
last_name: Tempera
- first_name: T
full_name: Bajjouk, T
last_name: Bajjouk
- first_name: A
full_name: Blanfuné, A
last_name: Blanfuné
- first_name: C
full_name: Chevalier, C
last_name: Chevalier
- first_name: M
full_name: Laurans, M
last_name: Laurans
- first_name: S
full_name: Mauger, S
last_name: Mauger
- first_name: M
full_name: Sourisseau, M
last_name: Sourisseau
- first_name: J
full_name: Assis, J
last_name: Assis
- first_name: L
full_name: Lévêque, L
last_name: Lévêque
- first_name: M
full_name: Valero, M
last_name: Valero
citation:
ama: Fouqueau L, Reynes L, Tempera F, et al. Seascape genetic study on Laminaria
digitata underscores the critical role of sampling schemes. Marine Ecology
Progress Series. 2024;740:23-42. doi:10.3354/meps14640
apa: Fouqueau, L., Reynes, L., Tempera, F., Bajjouk, T., Blanfuné, A., Chevalier,
C., … Valero, M. (2024). Seascape genetic study on Laminaria digitata underscores
the critical role of sampling schemes. Marine Ecology Progress Series.
Inter-Research Science Center. https://doi.org/10.3354/meps14640
chicago: Fouqueau, Louise, L Reynes, F Tempera, T Bajjouk, A Blanfuné, C Chevalier,
M Laurans, et al. “Seascape Genetic Study on Laminaria Digitata Underscores the
Critical Role of Sampling Schemes.” Marine Ecology Progress Series. Inter-Research
Science Center, 2024. https://doi.org/10.3354/meps14640.
ieee: L. Fouqueau et al., “Seascape genetic study on Laminaria digitata underscores
the critical role of sampling schemes,” Marine Ecology Progress Series,
vol. 740. Inter-Research Science Center, pp. 23–42, 2024.
ista: Fouqueau L, Reynes L, Tempera F, Bajjouk T, Blanfuné A, Chevalier C, Laurans
M, Mauger S, Sourisseau M, Assis J, Lévêque L, Valero M. 2024. Seascape genetic
study on Laminaria digitata underscores the critical role of sampling schemes.
Marine Ecology Progress Series. 740, 23–42.
mla: Fouqueau, Louise, et al. “Seascape Genetic Study on Laminaria Digitata Underscores
the Critical Role of Sampling Schemes.” Marine Ecology Progress Series,
vol. 740, Inter-Research Science Center, 2024, pp. 23–42, doi:10.3354/meps14640.
short: L. Fouqueau, L. Reynes, F. Tempera, T. Bajjouk, A. Blanfuné, C. Chevalier,
M. Laurans, S. Mauger, M. Sourisseau, J. Assis, L. Lévêque, M. Valero, Marine
Ecology Progress Series 740 (2024) 23–42.
corr_author: '1'
date_created: 2025-01-29T09:09:10Z
date_published: 2024-07-25T00:00:00Z
date_updated: 2025-01-29T09:12:34Z
day: '25'
department:
- _id: NiBa
doi: 10.3354/meps14640
fulldoi: https://doi.org/10.3354/meps14640
intvolume: ' 740'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://inria.hal.science/hal-04624490/
month: '07'
oa: 1
oa_version: Submitted Version
page: 23-42
publication: Marine Ecology Progress Series
publication_identifier:
eissn:
- 1616-1599
issn:
- 0171-8630
publication_status: published
publisher: Inter-Research Science Center
quality_controlled: '1'
scopus_import: '1'
status: public
title: Seascape genetic study on Laminaria digitata underscores the critical role
of sampling schemes
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 740
year: '2024'
...
---
OA_place: publisher
OA_type: gold
_id: '18949'
abstract:
- lang: eng
text: 'Speciation research—the scientific field focused on understanding the origin
and diversity of species—has a long and complex history. While relevant to one
another, the specific goals and activities of speciation researchers are highly
diverse, and scattered across a collection of different perspectives. Thus, our
understanding of speciation will benefit from efforts to bridge scientific findings
and the diverse people who do the work. In this paper, we outline two ways of
integrating speciation research: (i) scientific integration, through the bringing
together of ideas, data, and approaches; and (ii) social integration, by creating
ways for a diversity of researchers to participate in the scientific process.
We then discuss five challenges to integration: (i) the multidisciplinary nature
of speciation research, (ii) the complex language of speciation; (iii) a bias
toward certain study systems; (iv) the challenges of working across scales; and
(v) inconsistent measures and reporting standards. We provide practical steps
that individuals and groups can take to help overcome these challenges, and argue
that integration is a team effort in which we all have a role to play.'
acknowledgement: "We thank the staff of the Tvärminne Zoological Station (University
of Helsinki) for their hospitality during the workshop. We are also grateful to
everyone who applied to attend the workshop.\r\nFunding for the workshop was provided
by the European Society for Evolutionary Biology through the Special Topic Network
(STN) funding scheme."
article_number: kzae001
article_processing_charge: Yes
article_type: original
author:
- first_name: Sean
full_name: Stankowski, Sean
id: 43161670-5719-11EA-8025-FABC3DDC885E
last_name: Stankowski
- first_name: Asher D
full_name: Cutter, Asher D
last_name: Cutter
- first_name: Ina
full_name: Satokangas, Ina
last_name: Satokangas
- first_name: Brian A
full_name: Lerch, Brian A
last_name: Lerch
- first_name: Jonathan
full_name: Rolland, Jonathan
last_name: Rolland
- first_name: Carole M
full_name: Smadja, Carole M
last_name: Smadja
- first_name: J Carolina
full_name: Segami Marzal, J Carolina
last_name: Segami Marzal
- first_name: Christopher R
full_name: Cooney, Christopher R
last_name: Cooney
- first_name: Philine G D
full_name: Feulner, Philine G D
last_name: Feulner
- first_name: Fabricius Maia Chaves Bicalho
full_name: Domingos, Fabricius Maia Chaves Bicalho
last_name: Domingos
- first_name: Henry L
full_name: North, Henry L
last_name: North
- first_name: Ryo
full_name: Yamaguchi, Ryo
last_name: Yamaguchi
- first_name: Roger K
full_name: Butlin, Roger K
last_name: Butlin
- first_name: Jochen B W
full_name: Wolf, Jochen B W
last_name: Wolf
- first_name: Jenn
full_name: Coughlan, Jenn
last_name: Coughlan
- first_name: Patrick
full_name: Heidbreder, Patrick
last_name: Heidbreder
- first_name: Rebeca
full_name: Hernández-Gutiérrez, Rebeca
last_name: Hernández-Gutiérrez
- first_name: Karen B
full_name: Barnard-Kubow, Karen B
last_name: Barnard-Kubow
- first_name: David
full_name: Peede, David
last_name: Peede
- first_name: Loïs
full_name: Rancilhac, Loïs
last_name: Rancilhac
- first_name: Rodrigo Brincalepe
full_name: Salvador, Rodrigo Brincalepe
last_name: Salvador
- first_name: Ken A
full_name: Thompson, Ken A
last_name: Thompson
- first_name: Elizabeth A
full_name: Stacy, Elizabeth A
last_name: Stacy
- first_name: Leonie C
full_name: Moyle, Leonie C
last_name: Moyle
- first_name: Martin D
full_name: Garlovsky, Martin D
last_name: Garlovsky
- first_name: Arif
full_name: Maulana, Arif
last_name: Maulana
- first_name: Annina
full_name: Kantelinen, Annina
last_name: Kantelinen
- first_name: N Ivalú
full_name: Cacho, N Ivalú
last_name: Cacho
- first_name: Hilde
full_name: Schneemann, Hilde
last_name: Schneemann
- first_name: Marisol
full_name: Domínguez, Marisol
last_name: Domínguez
- first_name: Erik B
full_name: Dopman, Erik B
last_name: Dopman
- first_name: Konrad
full_name: Lohse, Konrad
last_name: Lohse
- first_name: Sina J
full_name: Rometsch, Sina J
last_name: Rometsch
- first_name: Aaron A
full_name: Comeault, Aaron A
last_name: Comeault
- first_name: Richard M
full_name: Merrill, Richard M
last_name: Merrill
- first_name: Elizabeth S C
full_name: Scordato, Elizabeth S C
last_name: Scordato
- first_name: Sonal
full_name: Singhal, Sonal
last_name: Singhal
- first_name: Varpu
full_name: Pärssinen, Varpu
last_name: Pärssinen
- first_name: Alycia C R
full_name: Lackey, Alycia C R
last_name: Lackey
- first_name: Sanghamitra
full_name: Kumar, Sanghamitra
last_name: Kumar
- first_name: Joana I
full_name: Meier, Joana I
last_name: Meier
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Christelle
full_name: Fraisse, Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
orcid: 0000-0001-8441-5075
- first_name: Mark
full_name: Ravinet, Mark
last_name: Ravinet
- first_name: Jonna
full_name: Kulmuni, Jonna
last_name: Kulmuni
citation:
ama: Stankowski S, Cutter AD, Satokangas I, et al. Toward the integration of speciation
research. Evolutionary Journal of the Linnean Society. 2024;3(1). doi:10.1093/evolinnean/kzae001
apa: Stankowski, S., Cutter, A. D., Satokangas, I., Lerch, B. A., Rolland, J., Smadja,
C. M., … Kulmuni, J. (2024). Toward the integration of speciation research. Evolutionary
Journal of the Linnean Society. Oxford University Press. https://doi.org/10.1093/evolinnean/kzae001
chicago: Stankowski, Sean, Asher D Cutter, Ina Satokangas, Brian A Lerch, Jonathan
Rolland, Carole M Smadja, J Carolina Segami Marzal, et al. “Toward the Integration
of Speciation Research.” Evolutionary Journal of the Linnean Society. Oxford
University Press, 2024. https://doi.org/10.1093/evolinnean/kzae001.
ieee: S. Stankowski et al., “Toward the integration of speciation research,”
Evolutionary Journal of the Linnean Society, vol. 3, no. 1. Oxford University
Press, 2024.
ista: Stankowski S, Cutter AD, Satokangas I, Lerch BA, Rolland J, Smadja CM, Segami
Marzal JC, Cooney CR, Feulner PGD, Domingos FMCB, North HL, Yamaguchi R, Butlin
RK, Wolf JBW, Coughlan J, Heidbreder P, Hernández-Gutiérrez R, Barnard-Kubow KB,
Peede D, Rancilhac L, Salvador RB, Thompson KA, Stacy EA, Moyle LC, Garlovsky
MD, Maulana A, Kantelinen A, Cacho NI, Schneemann H, Domínguez M, Dopman EB, Lohse
K, Rometsch SJ, Comeault AA, Merrill RM, Scordato ESC, Singhal S, Pärssinen V,
Lackey ACR, Kumar S, Meier JI, Barton NH, Fraisse C, Ravinet M, Kulmuni J. 2024.
Toward the integration of speciation research. Evolutionary Journal of the Linnean
Society. 3(1), kzae001.
mla: Stankowski, Sean, et al. “Toward the Integration of Speciation Research.” Evolutionary
Journal of the Linnean Society, vol. 3, no. 1, kzae001, Oxford University
Press, 2024, doi:10.1093/evolinnean/kzae001.
short: S. Stankowski, A.D. Cutter, I. Satokangas, B.A. Lerch, J. Rolland, C.M. Smadja,
J.C. Segami Marzal, C.R. Cooney, P.G.D. Feulner, F.M.C.B. Domingos, H.L. North,
R. Yamaguchi, R.K. Butlin, J.B.W. Wolf, J. Coughlan, P. Heidbreder, R. Hernández-Gutiérrez,
K.B. Barnard-Kubow, D. Peede, L. Rancilhac, R.B. Salvador, K.A. Thompson, E.A.
Stacy, L.C. Moyle, M.D. Garlovsky, A. Maulana, A. Kantelinen, N.I. Cacho, H. Schneemann,
M. Domínguez, E.B. Dopman, K. Lohse, S.J. Rometsch, A.A. Comeault, R.M. Merrill,
E.S.C. Scordato, S. Singhal, V. Pärssinen, A.C.R. Lackey, S. Kumar, J.I. Meier,
N.H. Barton, C. Fraisse, M. Ravinet, J. Kulmuni, Evolutionary Journal of the Linnean
Society 3 (2024).
corr_author: '1'
date_created: 2025-01-29T10:38:17Z
date_published: 2024-02-16T00:00:00Z
date_updated: 2025-01-29T10:55:54Z
day: '16'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1093/evolinnean/kzae001
file:
- access_level: open_access
checksum: db08120a92527acaef476bd93f2b87f9
content_type: application/pdf
creator: dernst
date_created: 2025-01-29T10:52:40Z
date_updated: 2025-01-29T10:52:40Z
file_id: '18950'
file_name: 2024_EvolJourLinneanSoc_Stankowski.pdf
file_size: 3935454
relation: main_file
success: 1
file_date_updated: 2025-01-29T10:52:40Z
fulldoi: https://doi.org/10.1093/evolinnean/kzae001
has_accepted_license: '1'
intvolume: ' 3'
issue: '1'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
publication: Evolutionary Journal of the Linnean Society
publication_identifier:
issn:
- 2752-938X
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: Toward the integration of speciation research
tmp:
image: /images/cc_by_nc.png
legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
short: CC BY-NC (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 3
year: '2024'
...
---
OA_place: repository
OA_type: green
_id: '19520'
abstract:
- lang: eng
text: Vertebrates exhibit a wide range of motor behaviors, ranging from swimming
to complex limb-based movements. Here we take advantage of frog metamorphosis,
which captures a swim-to-limb-based movement transformation during the development
of a single organism, to explore changes in the underlying spinal circuits. We
find that the tadpole spinal cord contains small and largely homogeneous populations
of motor neurons (MNs) and V1 interneurons (V1s) at early escape swimming stages.
These neuronal populations only modestly increase in number and subtype heterogeneity
with the emergence of free swimming. In contrast, during frog metamorphosis and
the emergence of limb movement, there is a dramatic expansion of MN and V1 interneuron
number and transcriptional heterogeneity, culminating in cohorts of neurons that
exhibit striking molecular similarity to mammalian motor circuits. CRISPR/Cas9-mediated
gene disruption of the limb MN and V1 determinants FoxP1 and Engrailed-1, respectively,
results in severe but selective deficits in tail and limb function. Our work thus
demonstrates that neural diversity scales exponentially with increasing behavioral
complexity and illustrates striking evolutionary conservation in the molecular
organization and function of motor circuits across species.
acknowledged_ssus:
- _id: Bio
acknowledgement: "We would like to thank the members of the Sweeney Lab (especially
Stavros Papadopoulos and\r\nSophie Gobeil) for their contributions to this project
and, in addition to the lab, Graziana Gatto\r\nand Mario de Bono, for discussion,
and support. We are also grateful to Tom Jessell and Chris\r\nKintner for their
scientific insight and mentorship during the conception of this project. This\r\nproject
would also not have been possible with the technical support of the Matthias Nowak,\r\nVerena
Mayer and the Aquatics as well as the Imaging and Optics Facility support teams\r\n(ISTA).
In addition, we thank our funding sources for providing the resources to do these\r\nexperiments:
FTI Strategy Lower Austria Dissertation Grant Number FT121-D-046 (D.V.);\r\nHorizon
Europe ERC Starting Grant Number 101041551 (L.B.S., F.A.T. and D.V); Special\r\nResearch
Program (SFB) of the Austrian Science Fund (FWF) Project number F7814-B (L.B.S);\r\nNINDS
5R35NS116858 (J.S.D); CZI grant DAF2020-225401 (DOI): 10.37921/120055ratwvi\r\n(R.H.);
NIH grant number R01NS123116 (J.B.B); American Lebanese Syrian Associated\r\nCharities
(ALSAC) (J.B.B.); German Academic Exchange Service (DAAD) IFI Grant Number\r\n57515251-91853472
(Z.H.); and Project A.L.S. (S.B-M.). "
article_processing_charge: No
author:
- first_name: David
full_name: Vijatovic, David
id: cf391e77-ec3c-11ea-a124-d69323410b58
last_name: Vijatovic
- first_name: 'Florina Alexandra '
full_name: 'Toma, Florina Alexandra '
id: 2f73f876-f128-11eb-9611-b96b5a30cb0e
last_name: Toma
- first_name: Zoe P
full_name: Harrington, Zoe P
id: a8144562-32c9-11ee-b5ce-d9800628bda2
last_name: Harrington
orcid: 0009-0008-0158-4032
- first_name: Christoph M
full_name: Sommer, Christoph M
id: 4DF26D8C-F248-11E8-B48F-1D18A9856A87
last_name: Sommer
orcid: 0000-0003-1216-9105
- first_name: Robert
full_name: Hauschild, Robert
id: 4E01D6B4-F248-11E8-B48F-1D18A9856A87
last_name: Hauschild
orcid: 0000-0001-9843-3522
- first_name: Alexandra J.
full_name: Trevisan, Alexandra J.
last_name: Trevisan
- first_name: Phillip
full_name: Chapman, Phillip
last_name: Chapman
- first_name: Mara
full_name: Julseth, Mara
id: 1cf464b2-dc7d-11ea-9b2f-f9b1aa9417d1
last_name: Julseth
- first_name: Susan
full_name: Brenner-Morton, Susan
last_name: Brenner-Morton
- first_name: Mariano I.
full_name: Gabitto, Mariano I.
last_name: Gabitto
- first_name: Jeremy S.
full_name: Dasen, Jeremy S.
last_name: Dasen
- first_name: Jay B.
full_name: Bikoff, Jay B.
last_name: Bikoff
- first_name: Lora Beatrice Jaeger
full_name: Sweeney, Lora Beatrice Jaeger
id: 56BE8254-C4F0-11E9-8E45-0B23E6697425
last_name: Sweeney
orcid: 0000-0001-9242-5601
citation:
ama: Vijatovic D, Toma FA, Harrington ZP, et al. Spinal neuron diversity scales
exponentially with swim-to-limb transformation during frog metamorphosis. bioRxiv.
doi:10.1101/2024.09.20.614050
apa: Vijatovic, D., Toma, F. A., Harrington, Z. P., Sommer, C. M., Hauschild, R.,
Trevisan, A. J., … Sweeney, L. B. (n.d.). Spinal neuron diversity scales exponentially
with swim-to-limb transformation during frog metamorphosis. bioRxiv. https://doi.org/10.1101/2024.09.20.614050
chicago: Vijatovic, David, Florina Alexandra Toma, Zoe P Harrington, Christoph
M Sommer, Robert Hauschild, Alexandra J. Trevisan, Phillip Chapman, et al. “Spinal
Neuron Diversity Scales Exponentially with Swim-to-Limb Transformation during
Frog Metamorphosis.” BioRxiv, n.d. https://doi.org/10.1101/2024.09.20.614050.
ieee: D. Vijatovic et al., “Spinal neuron diversity scales exponentially
with swim-to-limb transformation during frog metamorphosis,” bioRxiv. .
ista: Vijatovic D, Toma FA, Harrington ZP, Sommer CM, Hauschild R, Trevisan AJ,
Chapman P, Julseth M, Brenner-Morton S, Gabitto MI, Dasen JS, Bikoff JB, Sweeney
LB. Spinal neuron diversity scales exponentially with swim-to-limb transformation
during frog metamorphosis. bioRxiv, 10.1101/2024.09.20.614050.
mla: Vijatovic, David, et al. “Spinal Neuron Diversity Scales Exponentially with
Swim-to-Limb Transformation during Frog Metamorphosis.” BioRxiv, doi:10.1101/2024.09.20.614050.
short: D. Vijatovic, F.A. Toma, Z.P. Harrington, C.M. Sommer, R. Hauschild, A.J.
Trevisan, P. Chapman, M. Julseth, S. Brenner-Morton, M.I. Gabitto, J.S. Dasen,
J.B. Bikoff, L.B. Sweeney, BioRxiv (n.d.).
corr_author: '1'
date_created: 2025-04-07T08:48:28Z
date_published: 2024-09-27T00:00:00Z
date_updated: 2025-05-14T11:40:13Z
day: '27'
department:
- _id: LoSw
- _id: TiVo
- _id: Bio
- _id: NiBa
doi: 10.1101/2024.09.20.614050
fulldoi: https://doi.org/10.1101/2024.09.20.614050
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1101/2024.09.20.614050
month: '09'
oa: 1
oa_version: Preprint
project:
- _id: bd73af52-d553-11ed-ba76-912049f0ac7a
grant_number: FTI21-D-046
name: Development of V1 interneuron diversity during swim-to-walk transition of
Xenopus metamorphosis
- _id: ebb66355-77a9-11ec-83b8-b8ac210a4dae
grant_number: '101041551'
name: Development and Evolution of Tetrapod Motor Circuits
- _id: c08e9ad1-5a5b-11eb-8a69-9d1cf3b07473
grant_number: CZI01
name: Tools for automation and feedback microscopy
publication: bioRxiv
publication_status: submitted
status: public
title: Spinal neuron diversity scales exponentially with swim-to-limb transformation
during frog metamorphosis
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2024'
...
---
_id: '17207'
acknowledgement: "This research was funded by the Austrian Science Fund (FWF), project
doi: 10.55776/P32896, Institutional Identifier: 501100002428, grant number: P32896
and L.F. acknowledges the support of the NOMIS-ISTA Fellowship Program.\r\nWe would
like to thank Nick Barton, Roger Butlin, Stuart Baird, Patrik Nosil, and Jason Sexton
for their insightful comments on the earlier drafts, and to John Carchrae for his
valuable contribution in refining phrasing and enhancing clarity. For open access
purposes, the author has applied a CC BY public copyright license to any author-accepted
manuscript version arising from this submission."
article_processing_charge: No
article_type: letter_note
author:
- first_name: Louise
full_name: Fouqueau, Louise
id: 1676e173-8143-11ed-8927-fe165216a93f
last_name: Fouqueau
orcid: 0000-0003-0371-9339
- first_name: Jitka
full_name: Polechova, Jitka
id: 3BBFB084-F248-11E8-B48F-1D18A9856A87
last_name: Polechova
orcid: 0000-0003-0951-3112
citation:
ama: 'Fouqueau L, Polechova J. Eco-evolutionary dynamics in changing environments:
Integrating theory with data. Journal of evolutionary biology. 2024;37(6):579-587.
doi:10.1093/jeb/voae067'
apa: 'Fouqueau, L., & Polechova, J. (2024). Eco-evolutionary dynamics in changing
environments: Integrating theory with data. Journal of Evolutionary Biology.
Oxford University Press. https://doi.org/10.1093/jeb/voae067'
chicago: 'Fouqueau, Louise, and Jitka Polechova. “Eco-Evolutionary Dynamics in Changing
Environments: Integrating Theory with Data.” Journal of Evolutionary Biology.
Oxford University Press, 2024. https://doi.org/10.1093/jeb/voae067.'
ieee: 'L. Fouqueau and J. Polechova, “Eco-evolutionary dynamics in changing environments:
Integrating theory with data,” Journal of evolutionary biology, vol. 37,
no. 6. Oxford University Press, pp. 579–587, 2024.'
ista: 'Fouqueau L, Polechova J. 2024. Eco-evolutionary dynamics in changing environments:
Integrating theory with data. Journal of evolutionary biology. 37(6), 579–587.'
mla: 'Fouqueau, Louise, and Jitka Polechova. “Eco-Evolutionary Dynamics in Changing
Environments: Integrating Theory with Data.” Journal of Evolutionary Biology,
vol. 37, no. 6, Oxford University Press, 2024, pp. 579–87, doi:10.1093/jeb/voae067.'
short: L. Fouqueau, J. Polechova, Journal of Evolutionary Biology 37 (2024) 579–587.
date_created: 2024-07-07T22:01:04Z
date_published: 2024-06-28T00:00:00Z
date_updated: 2026-06-18T17:53:35Z
day: '28'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1093/jeb/voae067
external_id:
isi:
- '001258359900001'
pmid:
- '38941551'
fulldoi: https://doi.org/10.1093/jeb/voae067
intvolume: ' 37'
isi: 1
issue: '6'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1093/jeb/voae067
month: '06'
oa: 1
oa_version: Published Version
page: 579-587
pmid: 1
project:
- _id: c08d3278-5a5b-11eb-8a69-fdb09b55f4b8
grant_number: P32896
name: Causes and consequences of population fragmentation
- _id: 9B861AAC-BA93-11EA-9121-9846C619BF3A
name: NOMIS Fellowship Program
publication: Journal of evolutionary biology
publication_identifier:
eissn:
- 1420-9101
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Eco-evolutionary dynamics in changing environments: Integrating theory with
data'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 37
year: '2024'
...
---
_id: '17238'
abstract:
- lang: eng
text: We know that heritable variation is abundant, and that selection causes all
but the smallest populations to rapidly shift beyond their original trait distribution.
So then, what limits the range of a species? There are physical constraints and
also population genetic limits to the effectiveness of selection, ultimately set
by population size. Global adaptation, where the same genotype is favoured over
the whole range, is most efficient when based on a multitude of weakly selected
alleles and is effective even when local demes are small, provided that there
is some gene flow. In contrast, local adaptation is sensitive to gene flow and
may require alleles with substantial effect. How can populations combine the advantages
of large effective size with the ability to specialise into local niches? To what
extent does reproductive isolation help resolve this tension? I address these
questions using eco-evolutionary models of polygenic adaptation, contrasting discrete
demes with continuousspace.
acknowledgement: This work was supported by a grant from the ERC, 101055327, “HaplotypeStructure”.
I thank Himani Sachdeva, Michal Hledik, Jitka Polechova, and the reviewers for their
helpful comments.
article_processing_charge: Yes (via OA deal)
article_type: review
author:
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
citation:
ama: 'Barton NH. Limits to species’ range: The tension between local and global
adaptation. Journal of Evolutionary Biology. 2024;37(6):605-615. doi:10.1093/jeb/voae052'
apa: 'Barton, N. H. (2024). Limits to species’ range: The tension between local
and global adaptation. Journal of Evolutionary Biology. Oxford University
Press. https://doi.org/10.1093/jeb/voae052'
chicago: 'Barton, Nicholas H. “Limits to Species’ Range: The Tension between Local
and Global Adaptation.” Journal of Evolutionary Biology. Oxford University
Press, 2024. https://doi.org/10.1093/jeb/voae052.'
ieee: 'N. H. Barton, “Limits to species’ range: The tension between local and global
adaptation,” Journal of Evolutionary Biology, vol. 37, no. 6. Oxford University
Press, pp. 605–615, 2024.'
ista: 'Barton NH. 2024. Limits to species’ range: The tension between local and
global adaptation. Journal of Evolutionary Biology. 37(6), 605–615.'
mla: 'Barton, Nicholas H. “Limits to Species’ Range: The Tension between Local and
Global Adaptation.” Journal of Evolutionary Biology, vol. 37, no. 6, Oxford
University Press, 2024, pp. 605–15, doi:10.1093/jeb/voae052.'
short: N.H. Barton, Journal of Evolutionary Biology 37 (2024) 605–615.
corr_author: '1'
date_created: 2024-07-14T22:01:12Z
date_published: 2024-06-01T00:00:00Z
date_updated: 2025-09-08T08:08:41Z
day: '01'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1093/jeb/voae052
external_id:
isi:
- '001225323900001'
pmid:
- '38683160'
file:
- access_level: open_access
checksum: 94e6b68bddf6cadcec29c7f41647359f
content_type: application/pdf
creator: dernst
date_created: 2024-07-15T09:45:25Z
date_updated: 2024-07-15T09:45:25Z
file_id: '17241'
file_name: 2024_JourEvolutionaryBiology_Barton.pdf
file_size: 1194263
relation: main_file
success: 1
file_date_updated: 2024-07-15T09:45:25Z
fulldoi: https://doi.org/10.1093/jeb/voae052
has_accepted_license: '1'
intvolume: ' 37'
isi: 1
issue: '6'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
page: 605-615
pmid: 1
project:
- _id: bd6958e0-d553-11ed-ba76-86eba6a76c00
grant_number: '101055327'
name: Understanding the evolution of continuous genomes
publication: Journal of Evolutionary Biology
publication_identifier:
eissn:
- 1420-9101
issn:
- 1010-061X
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Limits to species'' range: The tension between local and global adaptation'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 37
year: '2024'
...
---
_id: '17344'
abstract:
- lang: eng
text: 'This file contains the Mathematica notebook associated with the paper Effect
of assortative mating and sexual selection on polygenic barriers to gene flow.
It contains the numerical approximations, analyses, and simulations used in the
study. '
acknowledged_ssus:
- _id: ScienComp
article_processing_charge: No
author:
- first_name: Parvathy
full_name: Surendranadh, Parvathy
id: 455235B8-F248-11E8-B48F-1D18A9856A87
last_name: Surendranadh
orcid: 0000-0001-6395-386X
- first_name: Himani
full_name: Sachdeva, Himani
last_name: Sachdeva
citation:
ama: Surendranadh P, Sachdeva H. Mathematica notebook for “Effect of assortative
mating and sexual selection on polygenic barriers to gene flow.” 2024. doi:10.15479/AT:ISTA:17344
apa: Surendranadh, P., & Sachdeva, H. (2024). Mathematica notebook for “Effect
of assortative mating and sexual selection on polygenic barriers to gene flow.”
Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:17344
chicago: Surendranadh, Parvathy, and Himani Sachdeva. “Mathematica Notebook for
‘Effect of Assortative Mating and Sexual Selection on Polygenic Barriers to Gene
Flow.’” Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/AT:ISTA:17344.
ieee: P. Surendranadh and H. Sachdeva, “Mathematica notebook for ‘Effect of assortative
mating and sexual selection on polygenic barriers to gene flow.’” Institute of
Science and Technology Austria, 2024.
ista: Surendranadh P, Sachdeva H. 2024. Mathematica notebook for ‘Effect of assortative
mating and sexual selection on polygenic barriers to gene flow’, Institute of
Science and Technology Austria, 10.15479/AT:ISTA:17344.
mla: Surendranadh, Parvathy, and Himani Sachdeva. Mathematica Notebook for “Effect
of Assortative Mating and Sexual Selection on Polygenic Barriers to Gene Flow.”
Institute of Science and Technology Austria, 2024, doi:10.15479/AT:ISTA:17344.
short: P. Surendranadh, H. Sachdeva, (2024).
date_created: 2024-07-29T14:01:43Z
date_published: 2024-07-01T00:00:00Z
date_updated: 2025-01-14T13:02:59Z
ddc:
- '576'
department:
- _id: GradSch
- _id: NiBa
doi: 10.15479/AT:ISTA:17344
file:
- access_level: open_access
checksum: 75bdbc7ad7cc6afe4459bc4a8824a302
content_type: application/octet-stream
creator: psurendr
date_created: 2024-07-29T13:51:11Z
date_updated: 2024-07-29T13:51:11Z
file_id: '17345'
file_name: Submission.nb
file_size: 726132
relation: main_file
success: 1
file_date_updated: 2024-07-29T13:51:11Z
fulldoi: https://doi.org/10.15479/AT:ISTA:17344
has_accepted_license: '1'
month: '07'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
status: public
title: Mathematica notebook for 'Effect of assortative mating and sexual selection
on polygenic barriers to gene flow'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2024'
...
---
_id: '17888'
abstract:
- lang: eng
text: "Context: Biotic resource exploitation is a critical determinant of species’
distributions. However, quantifying resource exploitation patterns through space
and time can be difficult, complicating their incorporation in spatial ecology
studies. Therefore, understanding the local drivers of spatial patterns of resource
exploitation may contribute to better large-scale species distribution models.\r\nObjectives:
We investigated (1) how the resource exploitation patterns of two trophic interactions
(plant–insect) are explained by insect behaviour, resource aggregation, and potential
insect-insect interactions. We also analyzed how (2) resource patch size and (3)
resource accessibility in a heterogeneous landscape affected host exploitation
patterns.\r\nMethods: We quantified nectar robbing by insects in the genus Bombus
(bumblebees) and seed predation by Brachypterolus vestitus larvae (Antirrhinum
beetle) on Antirrhinum majus L. (wild snapdragons) in the Pyrenees Mountains,
Catalonia, Spain. We tested hypotheses about resource exploitation by integrating
spatial analyses at multiple scales.\r\nResults: Both trophic interactions were
aggregated, explained by the aggregation of their resource. At some scales, nectar
robbing is more aggregated than the resource. Trophic interaction abundance is
proportional to resource patch size, following the ideal free distribution model.
Landscape features do not explain the locations exploited. Nectar robbing and
seed predation occur together more often than expected.\r\nConclusions: Our findings
suggest that multiple biotic and ecological spatial factors may simultaneously
affect resource exploitation at a local scale. These findings should be considered
when developing agricultural projects, management plans and conservation policies."
acknowledgement: "For the beetle barcoding, we are very thankful to Brent Emerson’s
laboratory at the Consejo Superior de Investigaciones Científicas (CSIC) at the
Instituto de Productos Naturales y Agrobiología (IPNA) in La Laguna, Tenerife. Many
thanks to numerous field assistants, especially Sandra Cuevas Gallego, Beatriz Pablo
Carmona, Luís Santos Cid and Alex Fuster, for their assistance in data collection.
Finally, we thank Jesús Muñoz, Virgilio Gómez-Rubio, and two anonymous reviewers
for comments that greatly improved the quality of the manuscript.\r\nOpen access
funding provided by Institute of Science and Technology (IST Austria). CB received
funding from the European Union’s Horizon 2020 research and innovation programme
under the Marie Skłodowska-Curie Grant Agreement No. 754411. NB was funded by the
FWF grant “Löwenmaul speciation” P 32166-B32."
article_number: '172'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Guillem
full_name: Pocull Belles, Guillem
id: 54359172-700c-11ef-a103-c1d91ceac6d6
last_name: Pocull Belles
- first_name: Carina
full_name: Baskett, Carina
id: 3B4A7CE2-F248-11E8-B48F-1D18A9856A87
last_name: Baskett
orcid: 0000-0002-7354-8574
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
citation:
ama: 'Pocull Belles G, Baskett C, Barton NH. Multiscale spatial analysis of two
plant–insect interactions: Effects of landscape, resource distribution, and other
insects. Landscape Ecology. 2024;39(9). doi:10.1007/s10980-024-01899-9'
apa: 'Pocull Belles, G., Baskett, C., & Barton, N. H. (2024). Multiscale spatial
analysis of two plant–insect interactions: Effects of landscape, resource distribution,
and other insects. Landscape Ecology. Springer Nature. https://doi.org/10.1007/s10980-024-01899-9'
chicago: 'Pocull Belles, Guillem, Carina Baskett, and Nicholas H Barton. “Multiscale
Spatial Analysis of Two Plant–Insect Interactions: Effects of Landscape, Resource
Distribution, and Other Insects.” Landscape Ecology. Springer Nature, 2024.
https://doi.org/10.1007/s10980-024-01899-9.'
ieee: 'G. Pocull Belles, C. Baskett, and N. H. Barton, “Multiscale spatial analysis
of two plant–insect interactions: Effects of landscape, resource distribution,
and other insects,” Landscape Ecology, vol. 39, no. 9. Springer Nature,
2024.'
ista: 'Pocull Belles G, Baskett C, Barton NH. 2024. Multiscale spatial analysis
of two plant–insect interactions: Effects of landscape, resource distribution,
and other insects. Landscape Ecology. 39(9), 172.'
mla: 'Pocull Belles, Guillem, et al. “Multiscale Spatial Analysis of Two Plant–Insect
Interactions: Effects of Landscape, Resource Distribution, and Other Insects.”
Landscape Ecology, vol. 39, no. 9, 172, Springer Nature, 2024, doi:10.1007/s10980-024-01899-9.'
short: G. Pocull Belles, C. Baskett, N.H. Barton, Landscape Ecology 39 (2024).
corr_author: '1'
date_created: 2024-09-08T22:01:11Z
date_published: 2024-09-01T00:00:00Z
date_updated: 2025-09-08T09:20:11Z
day: '01'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1007/s10980-024-01899-9
ec_funded: 1
external_id:
isi:
- '001304011900001'
file:
- access_level: open_access
checksum: 2e1cbc320ec1b4447a5a8562a90bcbc3
content_type: application/pdf
creator: dernst
date_created: 2024-09-11T07:14:03Z
date_updated: 2024-09-11T07:14:03Z
file_id: '18054'
file_name: 2024_LandscapeEcology_Pocull.pdf
file_size: 1494987
relation: main_file
success: 1
file_date_updated: 2024-09-11T07:14:03Z
fulldoi: https://doi.org/10.1007/s10980-024-01899-9
has_accepted_license: '1'
intvolume: ' 39'
isi: 1
issue: '9'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
- _id: 05959E1C-7A3F-11EA-A408-12923DDC885E
grant_number: P32166
name: Snapdragon Speciation
publication: Landscape Ecology
publication_identifier:
eissn:
- 1572-9761
issn:
- 0921-2973
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Multiscale spatial analysis of two plant–insect interactions: Effects of landscape,
resource distribution, and other insects'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 39
year: '2024'
...
---
_id: '14850'
abstract:
- lang: eng
text: Elaborate sexual signals are thought to have evolved and be maintained to
serve as honest indicators of signaller quality. One measure of quality is health,
which can be affected by parasite infection. Cnemaspis mysoriensis is a diurnal
gecko that is often infested with ectoparasites in the wild, and males of this
species express visual (coloured gular patches) and chemical (femoral gland secretions)
traits that receivers could assess during social interactions. In this paper,
we tested whether ectoparasites affect individual health, and whether signal quality
is an indicator of ectoparasite levels. In wild lizards, we found that ectoparasite
level was negatively correlated with body condition in both sexes. Moreover, some
characteristics of both visual and chemical traits in males were strongly associated
with ectoparasite levels. Specifically, males with higher ectoparasite levels
had yellow gular patches with lower brightness and chroma, and chemical secretions
with a lower proportion of aromatic compounds. We then determined whether ectoparasite
levels in males influence female behaviour. Using sequential choice trials, wherein
females were provided with either the visual or the chemical signals of wild-caught
males that varied in ectoparasite level, we found that only chemical secretions
evoked an elevated female response towards less parasitised males. Simultaneous
choice trials in which females were exposed to the chemical secretions from males
that varied in parasite level further confirmed a preference for males with lower
parasites loads. Overall, we find that although health (body condition) or ectoparasite
load can be honestly advertised through multiple modalities, the parasite-mediated
female response is exclusively driven by chemical signals.
acknowledgement: "We thank Anuradha Batabyal and Shakilur Kabir for scientific discussions,
and help with sampling and colour analyses. We thank Muralidhar and the central
LCMS facility of the IISc for their technical support with the GCMS.\r\nResearch
funding was provided by the Department of Science and Technology Fund for Improvement
of S&T Infrastructure (DST-FIST), the Department of Biotechnology-Indian Institute
of Science (DBT-IISc) partnership program and a Science and Engineering Research
Board (SERB) grant to M.T. (EMR/2017/002228). Open Access funding provided by Indian
Institute of Science. Deposited in PMC for immediate release."
article_number: jeb246217
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Arka
full_name: Pal, Arka
id: 6AAB2240-CA9A-11E9-9C1A-D9D1E5697425
last_name: Pal
orcid: 0000-0002-4530-8469
- first_name: Mihir
full_name: Joshi, Mihir
last_name: Joshi
- first_name: Maria
full_name: Thaker, Maria
last_name: Thaker
citation:
ama: Pal A, Joshi M, Thaker M. Too much information? Males convey parasite levels
using more signal modalities than females utilise. Journal of Experimental
Biology. 2024;227(1). doi:10.1242/jeb.246217
apa: Pal, A., Joshi, M., & Thaker, M. (2024). Too much information? Males convey
parasite levels using more signal modalities than females utilise. Journal
of Experimental Biology. The Company of Biologists. https://doi.org/10.1242/jeb.246217
chicago: Pal, Arka, Mihir Joshi, and Maria Thaker. “Too Much Information? Males
Convey Parasite Levels Using More Signal Modalities than Females Utilise.” Journal
of Experimental Biology. The Company of Biologists, 2024. https://doi.org/10.1242/jeb.246217.
ieee: A. Pal, M. Joshi, and M. Thaker, “Too much information? Males convey parasite
levels using more signal modalities than females utilise,” Journal of Experimental
Biology, vol. 227, no. 1. The Company of Biologists, 2024.
ista: Pal A, Joshi M, Thaker M. 2024. Too much information? Males convey parasite
levels using more signal modalities than females utilise. Journal of Experimental
Biology. 227(1), jeb246217.
mla: Pal, Arka, et al. “Too Much Information? Males Convey Parasite Levels Using
More Signal Modalities than Females Utilise.” Journal of Experimental Biology,
vol. 227, no. 1, jeb246217, The Company of Biologists, 2024, doi:10.1242/jeb.246217.
short: A. Pal, M. Joshi, M. Thaker, Journal of Experimental Biology 227 (2024).
corr_author: '1'
date_created: 2024-01-22T08:14:49Z
date_published: 2024-01-10T00:00:00Z
date_updated: 2026-09-09T09:54:41Z
day: '10'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1242/jeb.246217
external_id:
isi:
- '001214515700016'
pmid:
- '38054353'
file:
- access_level: open_access
checksum: 136325372f6f45abaa62a71e2d23bfb6
content_type: application/pdf
creator: dernst
date_created: 2024-01-23T12:08:24Z
date_updated: 2024-01-23T12:08:24Z
file_id: '14877'
file_name: 2024_JourExperimBiology_Pal.pdf
file_size: 594128
relation: main_file
success: 1
file_date_updated: 2024-01-23T12:08:24Z
fulldoi: https://doi.org/10.1242/jeb.246217
has_accepted_license: '1'
intvolume: ' 227'
isi: 1
issue: '1'
keyword:
- Insect Science
- Molecular Biology
- Animal Science and Zoology
- Aquatic Science
- Physiology
- Ecology
- Evolution
- Behavior and Systematics
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
pmid: 1
publication: Journal of Experimental Biology
publication_identifier:
eissn:
- 0022-0949
issn:
- 1477-9145
publication_status: published
publisher: The Company of Biologists
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/arka-pal/Cnemaspis-SexualSignaling
record:
- id: '22868'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Too much information? Males convey parasite levels using more signal modalities
than females utilise
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 227
year: '2024'
...
---
OA_place: publisher
OA_type: gold
_id: '18908'
abstract:
- lang: eng
text: Chromosomal rearrangements can lead to the coupling of reproductive barriers,
but whether and how they contribute to the completion of speciation remains unclear.
Marine snails of the genus Littorina repeatedly form hybrid zones between populations
segregating for multiple inversion arrangements, providing opportunities to study
their barrier effects. Here, we analyzed 2 adjacent transects across hybrid zones
between 2 ecotypes of Littorina fabalis (“large” and “dwarf”) adapted to different
wave exposure conditions on a Swedish island. Applying whole-genome sequencing,
we found 12 putative inversions on 9 of 17 chromosomes. Nine of the putative inversions
reached near differential fixation between the 2 ecotypes, and all were in strong
linkage disequilibrium. These inversions cover 20% of the genome and carry 93%
of divergent single nucleotide polymorphisms (SNPs). Bimodal hybrid zones in both
transects indicated that the 2 ecotypes of Littorina fabalis maintain their genetic
and phenotypic integrity following contact. The bimodality reflects the strong
coupling between inversion clines and the extension of the barrier effect across
the whole genome. Demographic inference suggests that coupling arose during a
period of allopatry and has been maintained for > 1,000 generations after
secondary contact. Overall, this study shows that the coupling of multiple chromosomal
inversions contributes to strong reproductive isolation. Notably, 2 of the putative
inversions overlap with inverted genomic regions associated with ecotype differences
in a closely related species (Littorina saxatilis), suggesting the same regions,
with similar structural variants, repeatedly contribute to ecotype evolution in
distinct species.
acknowledgement: The computations and data handling were enabled by resources provided
by the Swedish National Infrastructure for Computing at UPPMAX partially funded
by the Swedish Research Council through grant agreement no. 2018-05973. We thank
all the member of the Littorina team for the stimulating discussions about the manuscripts,
James Reeves for his help the implementation of Hsplit, and Thomas Broquet for his
useful comments in the latter stage of manuscript revisions.
article_processing_charge: Yes
article_type: letter_note
author:
- first_name: Alan
full_name: Le Moan, Alan
last_name: Le Moan
- first_name: Sean
full_name: Stankowski, Sean
id: 43161670-5719-11EA-8025-FABC3DDC885E
last_name: Stankowski
- first_name: Marina
full_name: Rafajlović, Marina
last_name: Rafajlović
- first_name: Olga
full_name: Ortega-Martinez, Olga
last_name: Ortega-Martinez
- first_name: Rui
full_name: Faria, Rui
last_name: Faria
- first_name: Roger K
full_name: Butlin, Roger K
last_name: Butlin
- first_name: Kerstin
full_name: Johannesson, Kerstin
last_name: Johannesson
citation:
ama: Le Moan A, Stankowski S, Rafajlović M, et al. Coupling of twelve putative chromosomal
inversions maintains a strong barrier to gene flow between snail ecotypes. Evolution
Letters. 2024;8(4):575-586. doi:10.1093/evlett/qrae014
apa: Le Moan, A., Stankowski, S., Rafajlović, M., Ortega-Martinez, O., Faria, R.,
Butlin, R. K., & Johannesson, K. (2024). Coupling of twelve putative chromosomal
inversions maintains a strong barrier to gene flow between snail ecotypes. Evolution
Letters. Oxford University Press. https://doi.org/10.1093/evlett/qrae014
chicago: Le Moan, Alan, Sean Stankowski, Marina Rafajlović, Olga Ortega-Martinez,
Rui Faria, Roger K Butlin, and Kerstin Johannesson. “Coupling of Twelve Putative
Chromosomal Inversions Maintains a Strong Barrier to Gene Flow between Snail Ecotypes.”
Evolution Letters. Oxford University Press, 2024. https://doi.org/10.1093/evlett/qrae014.
ieee: A. Le Moan et al., “Coupling of twelve putative chromosomal inversions
maintains a strong barrier to gene flow between snail ecotypes,” Evolution
Letters, vol. 8, no. 4. Oxford University Press, pp. 575–586, 2024.
ista: Le Moan A, Stankowski S, Rafajlović M, Ortega-Martinez O, Faria R, Butlin
RK, Johannesson K. 2024. Coupling of twelve putative chromosomal inversions maintains
a strong barrier to gene flow between snail ecotypes. Evolution Letters. 8(4),
575–586.
mla: Le Moan, Alan, et al. “Coupling of Twelve Putative Chromosomal Inversions Maintains
a Strong Barrier to Gene Flow between Snail Ecotypes.” Evolution Letters,
vol. 8, no. 4, Oxford University Press, 2024, pp. 575–86, doi:10.1093/evlett/qrae014.
short: A. Le Moan, S. Stankowski, M. Rafajlović, O. Ortega-Martinez, R. Faria, R.K.
Butlin, K. Johannesson, Evolution Letters 8 (2024) 575–586.
date_created: 2025-01-27T13:30:27Z
date_published: 2024-04-23T00:00:00Z
date_updated: 2026-09-09T10:39:13Z
day: '23'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1093/evlett/qrae014
external_id:
isi:
- '001206532900001'
pmid:
- '39479507'
file:
- access_level: open_access
checksum: 2f7780b7b6b3489755f1815f476639c6
content_type: application/pdf
creator: dernst
date_created: 2025-01-27T13:33:14Z
date_updated: 2025-01-27T13:33:14Z
file_id: '18909'
file_name: 2024_EvolutionLetter_Moan.pdf
file_size: 24356661
relation: main_file
success: 1
file_date_updated: 2025-01-27T13:33:14Z
fulldoi: https://doi.org/10.1093/evlett/qrae014
has_accepted_license: '1'
intvolume: ' 8'
isi: 1
issue: '4'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: 575-586
pmid: 1
publication: Evolution Letters
publication_identifier:
issn:
- 2056-3744
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
related_material:
record:
- id: '22870'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Coupling of twelve putative chromosomal inversions maintains a strong barrier
to gene flow between snail ecotypes
tmp:
image: /images/cc_by_nc.png
legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
short: CC BY-NC (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 8
year: '2024'
...
---
APC_amount: 4569,23 EUR
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '18491'
abstract:
- lang: eng
text: Predicting the outcomes of adaptation is a major goal of evolutionary biology.
When temporal changes in the environment mirror spatial gradients, it opens up
the potential for predicting the course of adaptive evolution over time based
on patterns of spatial genetic and phenotypic variation. We assessed this approach
in a 30-year transplant experiment in the intertidal snail Littorina saxatilis.
In 1992, snails were transplanted from a predation-dominated environment to one
dominated by wave action. On the basis of spatial patterns, we predicted transitions
in shell size and morphology, allele frequencies at positions throughout the genome,
and chromosomal rearrangement frequencies. Observed changes closely agreed with
predictions and transformation was both dramatic and rapid. Hence, adaptation
can be predicted from knowledge of the phenotypic and genetic variation among
populations.
acknowledgement: 'This work was received funding from the following: Norwegian Research
Council RCN project 315287 (A.M.W.), Swedish Research Council 2021-04191 (K.J.),
European Research Council grant 101055327 HaplotypeStructure (N.B.), Austrian Science
Fund FWF; P 32166-B32 Snapdragon Speciation (N.B.), European Research Council (R.B.),
and Portuguese Foundation for Science and Technology FCT: 2020.00275.CEECIND and
PTDC/BIA-EVL/1614/2021 (R.F.).'
article_number: eadp2102
article_processing_charge: Yes
article_type: original
author:
- first_name: Diego Fernando
full_name: Garcia Castillo, Diego Fernando
id: ae681a14-dc74-11ea-a0a7-c6ef18161701
last_name: Garcia Castillo
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Rui
full_name: Faria, Rui
last_name: Faria
- first_name: Jenny
full_name: Larsson, Jenny
last_name: Larsson
- first_name: Sean
full_name: Stankowski, Sean
id: 43161670-5719-11EA-8025-FABC3DDC885E
last_name: Stankowski
- first_name: Roger
full_name: Butlin, Roger
last_name: Butlin
- first_name: Kerstin
full_name: Johannesson, Kerstin
last_name: Johannesson
- first_name: Anja M
full_name: Westram, Anja M
id: 3C147470-F248-11E8-B48F-1D18A9856A87
last_name: Westram
orcid: 0000-0003-1050-4969
citation:
ama: 'Garcia Castillo DF, Barton NH, Faria R, et al. Predicting rapid adaptation
in time from adaptation in space: A 30-year field experiment in marine snails.
Science Advances. 2024;10(41). doi:10.1126/sciadv.adp2102'
apa: 'Garcia Castillo, D. F., Barton, N. H., Faria, R., Larsson, J., Stankowski,
S., Butlin, R., … Westram, A. M. (2024). Predicting rapid adaptation in time from
adaptation in space: A 30-year field experiment in marine snails. Science Advances.
AAAS. https://doi.org/10.1126/sciadv.adp2102'
chicago: 'Garcia Castillo, Diego Fernando, Nicholas H Barton, Rui Faria, Jenny Larsson,
Sean Stankowski, Roger Butlin, Kerstin Johannesson, and Anja M Westram. “Predicting
Rapid Adaptation in Time from Adaptation in Space: A 30-Year Field Experiment
in Marine Snails.” Science Advances. AAAS, 2024. https://doi.org/10.1126/sciadv.adp2102.'
ieee: 'D. F. Garcia Castillo et al., “Predicting rapid adaptation in time
from adaptation in space: A 30-year field experiment in marine snails,” Science
Advances, vol. 10, no. 41. AAAS, 2024.'
ista: 'Garcia Castillo DF, Barton NH, Faria R, Larsson J, Stankowski S, Butlin R,
Johannesson K, Westram AM. 2024. Predicting rapid adaptation in time from adaptation
in space: A 30-year field experiment in marine snails. Science Advances. 10(41),
eadp2102.'
mla: 'Garcia Castillo, Diego Fernando, et al. “Predicting Rapid Adaptation in Time
from Adaptation in Space: A 30-Year Field Experiment in Marine Snails.” Science
Advances, vol. 10, no. 41, eadp2102, AAAS, 2024, doi:10.1126/sciadv.adp2102.'
short: D.F. Garcia Castillo, N.H. Barton, R. Faria, J. Larsson, S. Stankowski, R.
Butlin, K. Johannesson, A.M. Westram, Science Advances 10 (2024).
corr_author: '1'
date_created: 2024-11-03T23:01:44Z
date_published: 2024-10-11T00:00:00Z
date_updated: 2026-09-09T10:10:02Z
day: '11'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1126/sciadv.adp2102
external_id:
isi:
- '001354405400018'
file:
- access_level: open_access
checksum: 96aa0d3640fa9401975138e59054f84e
content_type: application/pdf
creator: dernst
date_created: 2024-11-04T09:35:49Z
date_updated: 2024-11-04T09:35:49Z
file_id: '18499'
file_name: 2024_ScienceAdv_Castillo.pdf
file_size: 1154107
relation: main_file
success: 1
file_date_updated: 2024-11-04T09:35:49Z
fulldoi: https://doi.org/10.1126/sciadv.adp2102
has_accepted_license: '1'
intvolume: ' 10'
isi: 1
issue: '41'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
project:
- _id: bd6958e0-d553-11ed-ba76-86eba6a76c00
grant_number: '101055327'
name: Understanding the evolution of continuous genomes
- _id: 05959E1C-7A3F-11EA-A408-12923DDC885E
grant_number: P32166
name: Snapdragon Speciation
- _id: 3AC91DDA-15DF-11EA-824D-93A3E7B544D1
call_identifier: FWF
name: FWF Open Access Fund
publication: Science Advances
publication_identifier:
eissn:
- 2375-2548
publication_status: published
publisher: AAAS
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/fernandoGarcia21/littorina_saxatilis_skerry
record:
- id: '18498'
relation: research_data
status: public
- id: '20991'
relation: dissertation_contains
status: public
- id: '22869'
relation: research_data
status: public
scopus_import: '1'
status: public
title: 'Predicting rapid adaptation in time from adaptation in space: A 30-year field
experiment in marine snails'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 10
year: '2024'
...
---
_id: '17237'
abstract:
- lang: eng
text: 'The impact of climate change on populations will be contingent upon their
contemporary adaptive evolution. In this study, we investigated the contemporary
evolution of 4 populations of the cold-water kelp Laminaria digitata by analyzing
their spatial and temporal genomic variations using ddRAD-sequencing. These populations
were sampled from the center to the southern margin of its north-eastern Atlantic
distribution at 2 time points, spanning at least 2 generations. Through genome
scans for local adaptation at a single time point, we identified candidate loci
that showed clinal variation correlated with changes in sea surface temperature
(SST) along latitudinal gradients. This finding suggests that SST may drive the
adaptive response of these kelp populations, although factors such as species’
demographic history should also be considered. Additionally, we performed a simulation
approach to distinguish the effect of selection from genetic drift in allele frequency
changes over time. This enabled the detection of loci in the southernmost population
that exhibited temporal differentiation beyond what would be expected from genetic
drift alone: these are candidate loci which could have evolved under selection
over time. In contrast, we did not detect any outlier locus based on temporal
differentiation in the population from the North Sea, which also displayed low
and decreasing levels of genetic diversity. The diverse evolutionary scenarios
observed among populations can be attributed to variations in the prevalence of
selection relative to genetic drift across different environments. Therefore,
our study highlights the potential of temporal genomics to offer valuable insights
into the contemporary evolution of marine foundation species facing climate change.'
acknowledgement: "This work was funded by the EU project MARFOR Biodiversa/004/2015.
L.F. was additionally funded by the Region Bretagne (ARED 2017 REEALG) and the NOMIS
Foundation. The project leading to this publication has received funding from the
EC2CO (CNRS) fund and from the European FEDER Fund under project 1166-39417.\r\nThis
work is especially dedicated to the memory of Gernot Glöckner who contributed to
the sequencing of Laminaria digitata genome and passed away in very recent time.
The authors thank the ABiMS platform of the Roscoff biological station (http://abims.sb-roscoff.fr)
for providing the HPC resources that contributed to the search results reported
in this document. We also acknowledge the staff of the “Cluster de calcul intensif
HPC” Platform of the OSU Institut Pythéas (Aix-Marseille Université, INSU-CNRS)
for providing the computing facilities."
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Lauric
full_name: Reynes, Lauric
last_name: Reynes
- first_name: Louise
full_name: Fouqueau, Louise
id: 1676e173-8143-11ed-8927-fe165216a93f
last_name: Fouqueau
orcid: 0000-0003-0371-9339
- first_name: Didier
full_name: Aurelle, Didier
last_name: Aurelle
- first_name: Stephane
full_name: Mauger, Stephane
last_name: Mauger
- first_name: Christophe
full_name: Destombe, Christophe
last_name: Destombe
- first_name: Myriam
full_name: Valero, Myriam
last_name: Valero
citation:
ama: Reynes L, Fouqueau L, Aurelle D, Mauger S, Destombe C, Valero M. Temporal genomics
help in deciphering neutral and adaptive patterns in the contemporary evolution
of kelp populations. Journal of Evolutionary Biology. 2024;37(6):677-692.
doi:10.1093/jeb/voae048
apa: Reynes, L., Fouqueau, L., Aurelle, D., Mauger, S., Destombe, C., & Valero,
M. (2024). Temporal genomics help in deciphering neutral and adaptive patterns
in the contemporary evolution of kelp populations. Journal of Evolutionary
Biology. Oxford University Press. https://doi.org/10.1093/jeb/voae048
chicago: Reynes, Lauric, Louise Fouqueau, Didier Aurelle, Stephane Mauger, Christophe
Destombe, and Myriam Valero. “Temporal Genomics Help in Deciphering Neutral and
Adaptive Patterns in the Contemporary Evolution of Kelp Populations.” Journal
of Evolutionary Biology. Oxford University Press, 2024. https://doi.org/10.1093/jeb/voae048.
ieee: L. Reynes, L. Fouqueau, D. Aurelle, S. Mauger, C. Destombe, and M. Valero,
“Temporal genomics help in deciphering neutral and adaptive patterns in the contemporary
evolution of kelp populations,” Journal of Evolutionary Biology, vol. 37,
no. 6. Oxford University Press, pp. 677–692, 2024.
ista: Reynes L, Fouqueau L, Aurelle D, Mauger S, Destombe C, Valero M. 2024. Temporal
genomics help in deciphering neutral and adaptive patterns in the contemporary
evolution of kelp populations. Journal of Evolutionary Biology. 37(6), 677–692.
mla: Reynes, Lauric, et al. “Temporal Genomics Help in Deciphering Neutral and Adaptive
Patterns in the Contemporary Evolution of Kelp Populations.” Journal of Evolutionary
Biology, vol. 37, no. 6, Oxford University Press, 2024, pp. 677–92, doi:10.1093/jeb/voae048.
short: L. Reynes, L. Fouqueau, D. Aurelle, S. Mauger, C. Destombe, M. Valero, Journal
of Evolutionary Biology 37 (2024) 677–692.
date_created: 2024-07-14T22:01:12Z
date_published: 2024-06-01T00:00:00Z
date_updated: 2026-09-09T09:33:37Z
day: '01'
department:
- _id: NiBa
doi: 10.1093/jeb/voae048
external_id:
arxiv:
- '2404.14003'
pmid:
- '38629140'
fulldoi: https://doi.org/10.1093/jeb/voae048
intvolume: ' 37'
issue: '6'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2404.14003
month: '06'
oa: 1
oa_version: Preprint
page: 677-692
pmid: 1
publication: Journal of Evolutionary Biology
publication_identifier:
eissn:
- 1420-9101
issn:
- 1010-061X
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
related_material:
record:
- id: '22867'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Temporal genomics help in deciphering neutral and adaptive patterns in the
contemporary evolution of kelp populations
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 37
year: '2024'
...