---
_id: '1699'
abstract:
- lang: eng
text: By hybridization and backcrossing, alleles can surmount species boundaries
and be incorporated into the genome of a related species. This introgression of
genes is of particular evolutionary relevance if it involves the transfer of adaptations
between populations. However, any beneficial allele will typically be associated
with other alien alleles that are often deleterious and hamper the introgression
process. In order to describe the introgression of an adaptive allele, we set
up a stochastic model with an explicit genetic makeup of linked and unlinked deleterious
alleles. Based on the theory of reducible multitype branching processes, we derive
a recursive expression for the establishment probability of the beneficial allele
after a single hybridization event. We furthermore study the probability that
slightly deleterious alleles hitchhike to fixation. The key to the analysis is
a split of the process into a stochastic phase in which the advantageous alleles
establishes and a deterministic phase in which it sweeps to fixation. We thereafter
apply the theory to a set of biologically relevant scenarios such as introgression
in the presence of many unlinked or few closely linked deleterious alleles. A
comparison to computer simulations shows that the approximations work well over
a large parameter range.
acknowledgement: This work was made possible with financial support by the Vienna
Science and Technology Fund (WWTF), by the Deutsche Forschungsgemeinschaft (DFG),
Research Unit 1078 Natural selection in structured populations, by the Austrian
Science Fund (FWF) via funding for the Vienna Graduate School for Population Genetics,
and by a “For Women in Science” fellowship (L’Oréal Österreich in cooperation with
the Austrian Commission for UNESCO and the Austrian Academy of Sciences with financial
support from the Federal Ministry for Science and Research Austria).
article_processing_charge: No
author:
- first_name: Hildegard
full_name: Uecker, Hildegard
id: 2DB8F68A-F248-11E8-B48F-1D18A9856A87
last_name: Uecker
orcid: 0000-0001-9435-2813
- first_name: Derek
full_name: Setter, Derek
last_name: Setter
- first_name: Joachim
full_name: Hermisson, Joachim
last_name: Hermisson
citation:
ama: Uecker H, Setter D, Hermisson J. Adaptive gene introgression after secondary
contact. Journal of Mathematical Biology. 2015;70(7):1523-1580. doi:10.1007/s00285-014-0802-y
apa: Uecker, H., Setter, D., & Hermisson, J. (2015). Adaptive gene introgression
after secondary contact. Journal of Mathematical Biology. Springer. https://doi.org/10.1007/s00285-014-0802-y
chicago: Uecker, Hildegard, Derek Setter, and Joachim Hermisson. “Adaptive Gene
Introgression after Secondary Contact.” Journal of Mathematical Biology.
Springer, 2015. https://doi.org/10.1007/s00285-014-0802-y.
ieee: H. Uecker, D. Setter, and J. Hermisson, “Adaptive gene introgression after
secondary contact,” Journal of Mathematical Biology, vol. 70, no. 7. Springer,
pp. 1523–1580, 2015.
ista: Uecker H, Setter D, Hermisson J. 2015. Adaptive gene introgression after secondary
contact. Journal of Mathematical Biology. 70(7), 1523–1580.
mla: Uecker, Hildegard, et al. “Adaptive Gene Introgression after Secondary Contact.”
Journal of Mathematical Biology, vol. 70, no. 7, Springer, 2015, pp. 1523–80,
doi:10.1007/s00285-014-0802-y.
short: H. Uecker, D. Setter, J. Hermisson, Journal of Mathematical Biology 70 (2015)
1523–1580.
corr_author: '1'
date_created: 2018-12-11T11:53:32Z
date_published: 2015-06-01T00:00:00Z
date_updated: 2025-09-23T07:31:45Z
day: '01'
ddc:
- '576'
department:
- _id: NiBa
doi: 10.1007/s00285-014-0802-y
external_id:
isi:
- '000354196800003'
file:
- access_level: open_access
checksum: 00e3a67bda05d4cc165b3a48b41ef9ad
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:14:27Z
date_updated: 2020-07-14T12:45:12Z
file_id: '5079'
file_name: IST-2016-458-v1+1_s00285-014-0802-y.pdf
file_size: 1321527
relation: main_file
file_date_updated: 2020-07-14T12:45:12Z
has_accepted_license: '1'
intvolume: ' 70'
isi: 1
issue: '7'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
page: 1523 - 1580
project:
- _id: 25B67606-B435-11E9-9278-68D0E5697425
name: Evolutionary rescue
publication: Journal of Mathematical Biology
publication_status: published
publisher: Springer
publist_id: '5442'
pubrep_id: '458'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Adaptive gene introgression after secondary contact
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: 70
year: '2015'
...
---
_id: '1703'
abstract:
- lang: eng
text: Vegetation clearing and land-use change have depleted many natural plant communities
to the point where restoration is required. A major impediment to the success
of rebuilding complex vegetation communities is having regular access to sufficient
quantities of high-quality seed. Seed-production areas (SPAs) can help generate
this seed, but these must be underpinned by a broad genetic base to maximise the
evolutionary potential of restored populations. However, genetic bottlenecks can
occur at the collection, establishment and production stages in SPAs, requiring
genetic evaluation. This is especially relevant for species that may take many
years before a return on SPA investment is realised. Two recently established
yellow box (Eucalyptus melliodora A.Cunn. ex Schauer, Myrtaceae) SPAs were evaluated
to determine whether genetic bottlenecks had occurred between seed collection
and SPA establishment. No evidence was found to suggest that a significant loss
of genetic diversity had occurred at this stage, although there was a significant
difference in diversity between the two SPAs. Complex population genetic structure
was also observed in the seed used to source the SPAs, with up to eight groups
identified. Plant survival in the SPAs was influenced by seed collection location
but not by SPA location and was not associated with genetic diversity. There were
also no associations between genetic diversity and plant growth. These data highlighted
the importance of chance events when establishing SPAs and indicated that the
two yellow box SPAs are likely to provide genetically diverse seed sources for
future restoration projects, especially by pooling seed from both SPAs.
article_processing_charge: No
author:
- first_name: Linda
full_name: Broadhurst, Linda
last_name: Broadhurst
- first_name: Graham
full_name: Fifield, Graham
last_name: Fifield
- first_name: Bindi
full_name: Vanzella, Bindi
last_name: Vanzella
- first_name: Melinda
full_name: Pickup, Melinda
id: 2C78037E-F248-11E8-B48F-1D18A9856A87
last_name: Pickup
orcid: 0000-0001-6118-0541
citation:
ama: Broadhurst L, Fifield G, Vanzella B, Pickup M. An evaluation of the genetic
structure of seed sources and the maintenance of genetic diversity during establishment
of two yellow box (Eucalyptus melliodora) seed-production areas. Australian
Journal of Botany. 2015;63(5):455-466. doi:10.1071/BT15023
apa: Broadhurst, L., Fifield, G., Vanzella, B., & Pickup, M. (2015). An evaluation
of the genetic structure of seed sources and the maintenance of genetic diversity
during establishment of two yellow box (Eucalyptus melliodora) seed-production
areas. Australian Journal of Botany. CSIRO. https://doi.org/10.1071/BT15023
chicago: Broadhurst, Linda, Graham Fifield, Bindi Vanzella, and Melinda Pickup.
“An Evaluation of the Genetic Structure of Seed Sources and the Maintenance of
Genetic Diversity during Establishment of Two Yellow Box (Eucalyptus Melliodora)
Seed-Production Areas.” Australian Journal of Botany. CSIRO, 2015. https://doi.org/10.1071/BT15023.
ieee: L. Broadhurst, G. Fifield, B. Vanzella, and M. Pickup, “An evaluation of the
genetic structure of seed sources and the maintenance of genetic diversity during
establishment of two yellow box (Eucalyptus melliodora) seed-production areas,”
Australian Journal of Botany, vol. 63, no. 5. CSIRO, pp. 455–466, 2015.
ista: Broadhurst L, Fifield G, Vanzella B, Pickup M. 2015. An evaluation of the
genetic structure of seed sources and the maintenance of genetic diversity during
establishment of two yellow box (Eucalyptus melliodora) seed-production areas.
Australian Journal of Botany. 63(5), 455–466.
mla: Broadhurst, Linda, et al. “An Evaluation of the Genetic Structure of Seed Sources
and the Maintenance of Genetic Diversity during Establishment of Two Yellow Box
(Eucalyptus Melliodora) Seed-Production Areas.” Australian Journal of Botany,
vol. 63, no. 5, CSIRO, 2015, pp. 455–66, doi:10.1071/BT15023.
short: L. Broadhurst, G. Fifield, B. Vanzella, M. Pickup, Australian Journal of
Botany 63 (2015) 455–466.
date_created: 2018-12-11T11:53:34Z
date_published: 2015-05-26T00:00:00Z
date_updated: 2025-09-23T07:51:07Z
day: '26'
department:
- _id: NiBa
doi: 10.1071/BT15023
external_id:
isi:
- '000363276500009'
intvolume: ' 63'
isi: 1
issue: '5'
language:
- iso: eng
month: '05'
oa_version: None
page: 455 - 466
publication: Australian Journal of Botany
publication_status: published
publisher: CSIRO
publist_id: '5434'
quality_controlled: '1'
scopus_import: '1'
status: public
title: An evaluation of the genetic structure of seed sources and the maintenance
of genetic diversity during establishment of two yellow box (Eucalyptus melliodora)
seed-production areas
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 63
year: '2015'
...
---
_id: '1850'
abstract:
- lang: eng
text: 'Entomopathogenic fungi are potent biocontrol agents that are widely used
against insect pests, many of which are social insects. Nevertheless, theoretical
investigations of their particular life history are scarce. We develop a model
that takes into account the main distinguishing features between traditionally
studied diseases and obligate killing pathogens, like the (biocontrol-relevant)
insect-pathogenic fungi Metarhizium and Beauveria. First, obligate killing entomopathogenic
fungi produce new infectious particles (conidiospores) only after host death and
not yet on the living host. Second, the killing rates of entomopathogenic fungi
depend strongly on the initial exposure dosage, thus we explicitly consider the
pathogen load of individual hosts. Further, we make the model applicable not only
to solitary host species, but also to group living species by incorporating social
interactions between hosts, like the collective disease defences of insect societies.
Our results identify the optimal killing rate for the pathogen that minimises
its invasion threshold. Furthermore, we find that the rate of contact between
hosts has an ambivalent effect: dense interaction networks between individuals
are considered to facilitate disease outbreaks because of increased pathogen transmission.
In social insects, this is compensated by their collective disease defences, i.e.,
social immunity. For the type of pathogens considered here, we show that even
without social immunity, high contact rates between live individuals dilute the
pathogen in the host colony and hence can reduce individual pathogen loads below
disease-causing levels.'
article_processing_charge: No
author:
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
orcid: 0000-0002-2519-824X
- first_name: Sylvia
full_name: Cremer, Sylvia
id: 2F64EC8C-F248-11E8-B48F-1D18A9856A87
last_name: Cremer
orcid: 0000-0002-2193-3868
citation:
ama: 'Novak S, Cremer S. Fungal disease dynamics in insect societies: Optimal killing
rates and the ambivalent effect of high social interaction rates. Journal of
Theoretical Biology. 2015;372(5):54-64. doi:10.1016/j.jtbi.2015.02.018'
apa: 'Novak, S., & Cremer, S. (2015). Fungal disease dynamics in insect societies:
Optimal killing rates and the ambivalent effect of high social interaction rates.
Journal of Theoretical Biology. Elsevier. https://doi.org/10.1016/j.jtbi.2015.02.018'
chicago: 'Novak, Sebastian, and Sylvia Cremer. “Fungal Disease Dynamics in Insect
Societies: Optimal Killing Rates and the Ambivalent Effect of High Social Interaction
Rates.” Journal of Theoretical Biology. Elsevier, 2015. https://doi.org/10.1016/j.jtbi.2015.02.018.'
ieee: 'S. Novak and S. Cremer, “Fungal disease dynamics in insect societies: Optimal
killing rates and the ambivalent effect of high social interaction rates,” Journal
of Theoretical Biology, vol. 372, no. 5. Elsevier, pp. 54–64, 2015.'
ista: 'Novak S, Cremer S. 2015. Fungal disease dynamics in insect societies: Optimal
killing rates and the ambivalent effect of high social interaction rates. Journal
of Theoretical Biology. 372(5), 54–64.'
mla: 'Novak, Sebastian, and Sylvia Cremer. “Fungal Disease Dynamics in Insect Societies:
Optimal Killing Rates and the Ambivalent Effect of High Social Interaction Rates.”
Journal of Theoretical Biology, vol. 372, no. 5, Elsevier, 2015, pp. 54–64,
doi:10.1016/j.jtbi.2015.02.018.'
short: S. Novak, S. Cremer, Journal of Theoretical Biology 372 (2015) 54–64.
corr_author: '1'
date_created: 2018-12-11T11:54:21Z
date_published: 2015-05-07T00:00:00Z
date_updated: 2025-09-23T08:54:35Z
day: '07'
ddc:
- '576'
department:
- _id: NiBa
- _id: SyCr
doi: 10.1016/j.jtbi.2015.02.018
ec_funded: 1
external_id:
isi:
- '000353311700006'
file:
- access_level: open_access
checksum: 3c0dcacc900bc45cc65a453dfda4ca43
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:18:07Z
date_updated: 2020-07-14T12:45:19Z
file_id: '5326'
file_name: IST-2015-329-v1+1_manuscript.pdf
file_size: 1546914
relation: main_file
file_date_updated: 2020-07-14T12:45:19Z
has_accepted_license: '1'
intvolume: ' 372'
isi: 1
issue: '5'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Submitted Version
page: 54 - 64
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
- _id: 25DC711C-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '243071'
name: 'Social Vaccination in Ant Colonies: from Individual Mechanisms to Society
Effects'
publication: Journal of Theoretical Biology
publication_status: published
publisher: Elsevier
publist_id: '5251'
pubrep_id: '329'
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Fungal disease dynamics in insect societies: Optimal killing rates and the
ambivalent effect of high social interaction rates'
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 372
year: '2015'
...
---
_id: '1851'
abstract:
- lang: eng
text: We consider mating strategies for females who search for males sequentially
during a season of limited length. We show that the best strategy rejects a given
male type if encountered before a time-threshold but accepts him after. For frequency-independent
benefits, we obtain the optimal time-thresholds explicitly for both discrete and
continuous distributions of males, and allow for mistakes being made in assessing
the correct male type. When the benefits are indirect (genes for the offspring)
and the population is under frequency-dependent ecological selection, the benefits
depend on the mating strategy of other females as well. This case is particularly
relevant to speciation models that seek to explore the stability of reproductive
isolation by assortative mating under frequency-dependent ecological selection.
We show that the indirect benefits are to be quantified by the reproductive values
of couples, and describe how the evolutionarily stable time-thresholds can be
found. We conclude with an example based on the Levene model, in which we analyze
the evolutionarily stable assortative mating strategies and the strength of reproductive
isolation provided by them.
article_processing_charge: No
article_type: original
author:
- first_name: Tadeas
full_name: Priklopil, Tadeas
id: 3C869AA0-F248-11E8-B48F-1D18A9856A87
last_name: Priklopil
- first_name: Eva
full_name: Kisdi, Eva
last_name: Kisdi
- first_name: Mats
full_name: Gyllenberg, Mats
last_name: Gyllenberg
citation:
ama: Priklopil T, Kisdi E, Gyllenberg M. Evolutionarily stable mating decisions
for sequentially searching females and the stability of reproductive isolation
by assortative mating. Evolution. 2015;69(4):1015-1026. doi:10.1111/evo.12618
apa: Priklopil, T., Kisdi, E., & Gyllenberg, M. (2015). Evolutionarily stable
mating decisions for sequentially searching females and the stability of reproductive
isolation by assortative mating. Evolution. Wiley. https://doi.org/10.1111/evo.12618
chicago: Priklopil, Tadeas, Eva Kisdi, and Mats Gyllenberg. “Evolutionarily Stable
Mating Decisions for Sequentially Searching Females and the Stability of Reproductive
Isolation by Assortative Mating.” Evolution. Wiley, 2015. https://doi.org/10.1111/evo.12618.
ieee: T. Priklopil, E. Kisdi, and M. Gyllenberg, “Evolutionarily stable mating decisions
for sequentially searching females and the stability of reproductive isolation
by assortative mating,” Evolution, vol. 69, no. 4. Wiley, pp. 1015–1026,
2015.
ista: Priklopil T, Kisdi E, Gyllenberg M. 2015. Evolutionarily stable mating decisions
for sequentially searching females and the stability of reproductive isolation
by assortative mating. Evolution. 69(4), 1015–1026.
mla: Priklopil, Tadeas, et al. “Evolutionarily Stable Mating Decisions for Sequentially
Searching Females and the Stability of Reproductive Isolation by Assortative Mating.”
Evolution, vol. 69, no. 4, Wiley, 2015, pp. 1015–26, doi:10.1111/evo.12618.
short: T. Priklopil, E. Kisdi, M. Gyllenberg, Evolution 69 (2015) 1015–1026.
corr_author: '1'
date_created: 2018-12-11T11:54:21Z
date_published: 2015-02-09T00:00:00Z
date_updated: 2025-09-22T14:27:30Z
day: '09'
ddc:
- '570'
department:
- _id: NiBa
- _id: KrCh
doi: 10.1111/evo.12618
ec_funded: 1
external_id:
isi:
- '000353236000014'
pmid:
- '25662095'
file:
- access_level: open_access
checksum: 1e8be0b1d7598a78cd2623d8ee8e7798
content_type: application/pdf
creator: dernst
date_created: 2020-05-15T09:05:34Z
date_updated: 2020-07-14T12:45:19Z
file_id: '7855'
file_name: 2015_Evolution_Priklopil.pdf
file_size: 967214
relation: main_file
file_date_updated: 2020-07-14T12:45:19Z
has_accepted_license: '1'
intvolume: ' 69'
isi: 1
issue: '4'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Submitted Version
page: 1015 - 1026
pmid: 1
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: Evolution
publication_identifier:
eissn:
- 1558-5646
issn:
- 0014-3820
publication_status: published
publisher: Wiley
publist_id: '5249'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Evolutionarily stable mating decisions for sequentially searching females and
the stability of reproductive isolation by assortative mating
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 69
year: '2015'
...
---
_id: '1883'
abstract:
- lang: eng
text: "We introduce a one-parametric family of tree growth models, in which branching
probabilities decrease with branch age τ as τ-α. Depending on the exponent α,
the scaling of tree depth with tree size n displays a transition between the logarithmic
scaling of random trees and an algebraic growth. At the transition (α=1) tree
depth grows as (logn)2. This anomalous scaling is in good agreement with the trend
observed in evolution of biological species, thus providing a theoretical support
for age-dependent speciation and associating it to the occurrence of a critical
point.\r\n"
article_number: '022803'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Stephanie
full_name: Keller-Schmidt, Stephanie
last_name: Keller-Schmidt
- first_name: Murat
full_name: Tugrul, Murat
id: 37C323C6-F248-11E8-B48F-1D18A9856A87
last_name: Tugrul
orcid: 0000-0002-8523-0758
- first_name: Víctor
full_name: Eguíluz, Víctor
last_name: Eguíluz
- first_name: Emilio
full_name: Hernandez Garcia, Emilio
last_name: Hernandez Garcia
- first_name: Konstantin
full_name: Klemm, Konstantin
last_name: Klemm
citation:
ama: Keller-Schmidt S, Tugrul M, Eguíluz V, Hernandez Garcia E, Klemm K. Anomalous
scaling in an age-dependent branching model. Physical Review E Statistical
Nonlinear and Soft Matter Physics. 2015;91(2). doi:10.1103/PhysRevE.91.022803
apa: Keller-Schmidt, S., Tugrul, M., Eguíluz, V., Hernandez Garcia, E., & Klemm,
K. (2015). Anomalous scaling in an age-dependent branching model. Physical
Review E Statistical Nonlinear and Soft Matter Physics. American Institute
of Physics. https://doi.org/10.1103/PhysRevE.91.022803
chicago: Keller-Schmidt, Stephanie, Murat Tugrul, Víctor Eguíluz, Emilio Hernandez
Garcia, and Konstantin Klemm. “Anomalous Scaling in an Age-Dependent Branching
Model.” Physical Review E Statistical Nonlinear and Soft Matter Physics.
American Institute of Physics, 2015. https://doi.org/10.1103/PhysRevE.91.022803.
ieee: S. Keller-Schmidt, M. Tugrul, V. Eguíluz, E. Hernandez Garcia, and K. Klemm,
“Anomalous scaling in an age-dependent branching model,” Physical Review E
Statistical Nonlinear and Soft Matter Physics, vol. 91, no. 2. American Institute
of Physics, 2015.
ista: Keller-Schmidt S, Tugrul M, Eguíluz V, Hernandez Garcia E, Klemm K. 2015.
Anomalous scaling in an age-dependent branching model. Physical Review E Statistical
Nonlinear and Soft Matter Physics. 91(2), 022803.
mla: Keller-Schmidt, Stephanie, et al. “Anomalous Scaling in an Age-Dependent Branching
Model.” Physical Review E Statistical Nonlinear and Soft Matter Physics,
vol. 91, no. 2, 022803, American Institute of Physics, 2015, doi:10.1103/PhysRevE.91.022803.
short: S. Keller-Schmidt, M. Tugrul, V. Eguíluz, E. Hernandez Garcia, K. Klemm,
Physical Review E Statistical Nonlinear and Soft Matter Physics 91 (2015).
date_created: 2018-12-11T11:54:31Z
date_published: 2015-02-02T00:00:00Z
date_updated: 2025-09-23T07:53:52Z
day: '02'
department:
- _id: NiBa
doi: 10.1103/PhysRevE.91.022803
external_id:
arxiv:
- '1012.3298'
isi:
- '000349860900006'
intvolume: ' 91'
isi: 1
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1012.3298
month: '02'
oa: 1
oa_version: Preprint
publication: Physical Review E Statistical Nonlinear and Soft Matter Physics
publication_status: published
publisher: American Institute of Physics
publist_id: '5213'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Anomalous scaling in an age-dependent branching model
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 91
year: '2015'
...
---
_id: '9712'
article_processing_charge: No
author:
- first_name: Murat
full_name: Tugrul, Murat
id: 37C323C6-F248-11E8-B48F-1D18A9856A87
last_name: Tugrul
orcid: 0000-0002-8523-0758
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- 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
citation:
ama: Tugrul M, Paixao T, Barton NH, Tkačik G. Other fitness models for comparison
& for interacting TFBSs. 2015. doi:10.1371/journal.pgen.1005639.s001
apa: Tugrul, M., Paixao, T., Barton, N. H., & Tkačik, G. (2015). Other fitness
models for comparison & for interacting TFBSs. Public Library of Science.
https://doi.org/10.1371/journal.pgen.1005639.s001
chicago: Tugrul, Murat, Tiago Paixao, Nicholas H Barton, and Gašper Tkačik. “Other
Fitness Models for Comparison & for Interacting TFBSs.” Public Library of
Science, 2015. https://doi.org/10.1371/journal.pgen.1005639.s001.
ieee: M. Tugrul, T. Paixao, N. H. Barton, and G. Tkačik, “Other fitness models for
comparison & for interacting TFBSs.” Public Library of Science, 2015.
ista: Tugrul M, Paixao T, Barton NH, Tkačik G. 2015. Other fitness models for comparison
& for interacting TFBSs, Public Library of Science, 10.1371/journal.pgen.1005639.s001.
mla: Tugrul, Murat, et al. Other Fitness Models for Comparison & for Interacting
TFBSs. Public Library of Science, 2015, doi:10.1371/journal.pgen.1005639.s001.
short: M. Tugrul, T. Paixao, N.H. Barton, G. Tkačik, (2015).
date_created: 2021-07-23T12:00:37Z
date_published: 2015-11-06T00:00:00Z
date_updated: 2025-09-23T08:31:14Z
day: '06'
department:
- _id: NiBa
- _id: CaGu
- _id: GaTk
doi: 10.1371/journal.pgen.1005639.s001
month: '11'
oa_version: Published Version
publisher: Public Library of Science
related_material:
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relation: used_in_publication
status: public
status: public
title: Other fitness models for comparison & for interacting TFBSs
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...
---
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author:
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full_name: Trubenova, Barbora
id: 42302D54-F248-11E8-B48F-1D18A9856A87
last_name: Trubenova
orcid: 0000-0002-6873-2967
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
orcid: 0000-0002-2519-824X
- first_name: Reinmar
full_name: Hager, Reinmar
last_name: Hager
citation:
ama: Trubenova B, Novak S, Hager R. Mathematical inference of the results. 2015.
doi:10.1371/journal.pone.0126907.s001
apa: Trubenova, B., Novak, S., & Hager, R. (2015). Mathematical inference of
the results. Public Library of Science. https://doi.org/10.1371/journal.pone.0126907.s001
chicago: Trubenova, Barbora, Sebastian Novak, and Reinmar Hager. “Mathematical Inference
of the Results.” Public Library of Science, 2015. https://doi.org/10.1371/journal.pone.0126907.s001.
ieee: B. Trubenova, S. Novak, and R. Hager, “Mathematical inference of the results.”
Public Library of Science, 2015.
ista: Trubenova B, Novak S, Hager R. 2015. Mathematical inference of the results,
Public Library of Science, 10.1371/journal.pone.0126907.s001.
mla: Trubenova, Barbora, et al. Mathematical Inference of the Results. Public
Library of Science, 2015, doi:10.1371/journal.pone.0126907.s001.
short: B. Trubenova, S. Novak, R. Hager, (2015).
date_created: 2021-07-23T12:11:30Z
date_published: 2015-05-18T00:00:00Z
date_updated: 2025-09-23T09:21:54Z
day: '18'
department:
- _id: NiBa
doi: 10.1371/journal.pone.0126907.s001
month: '05'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '1809'
relation: used_in_publication
status: public
status: public
title: Mathematical inference of the results
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2015'
...
---
_id: '9772'
article_processing_charge: No
author:
- first_name: Barbora
full_name: Trubenova, Barbora
id: 42302D54-F248-11E8-B48F-1D18A9856A87
last_name: Trubenova
orcid: 0000-0002-6873-2967
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
orcid: 0000-0002-2519-824X
- first_name: Reinmar
full_name: Hager, Reinmar
last_name: Hager
citation:
ama: Trubenova B, Novak S, Hager R. Description of the agent based simulations.
2015. doi:10.1371/journal.pone.0126907.s003
apa: Trubenova, B., Novak, S., & Hager, R. (2015). Description of the agent
based simulations. Public Library of Science. https://doi.org/10.1371/journal.pone.0126907.s003
chicago: Trubenova, Barbora, Sebastian Novak, and Reinmar Hager. “Description of
the Agent Based Simulations.” Public Library of Science, 2015. https://doi.org/10.1371/journal.pone.0126907.s003.
ieee: B. Trubenova, S. Novak, and R. Hager, “Description of the agent based simulations.”
Public Library of Science, 2015.
ista: Trubenova B, Novak S, Hager R. 2015. Description of the agent based simulations,
Public Library of Science, 10.1371/journal.pone.0126907.s003.
mla: Trubenova, Barbora, et al. Description of the Agent Based Simulations.
Public Library of Science, 2015, doi:10.1371/journal.pone.0126907.s003.
short: B. Trubenova, S. Novak, R. Hager, (2015).
date_created: 2021-08-05T12:55:20Z
date_published: 2015-05-18T00:00:00Z
date_updated: 2025-09-23T09:21:54Z
day: '18'
department:
- _id: NiBa
doi: 10.1371/journal.pone.0126907.s003
month: '05'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '1809'
relation: used_in_publication
status: public
status: public
title: Description of the agent based simulations
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2015'
...
---
_id: '1809'
abstract:
- lang: eng
text: 'Background: Indirect genetic effects (IGEs) occur when genes expressed in
one individual alter the expression of traits in social partners. Previous studies
focused on the evolutionary consequences and evolutionary dynamics of IGEs, using
equilibrium solutions to predict phenotypes in subsequent generations. However,
whether or not such steady states may be reached may depend on the dynamics of
interactions themselves. Results: In our study, we focus on the dynamics of social
interactions and indirect genetic effects and investigate how they modify phenotypes
over time. Unlike previous IGE studies, we do not analyse evolutionary dynamics;
rather we consider within-individual phenotypic changes, also referred to as phenotypic
plasticity. We analyse iterative interactions, when individuals interact in a
series of discontinuous events, and investigate the stability of steady state
solutions and the dependence on model parameters, such as population size, strength,
and the nature of interactions. We show that for interactions where a feedback
loop occurs, the possible parameter space of interaction strength is fairly limited,
affecting the evolutionary consequences of IGEs. We discuss the implications of
our results for current IGE model predictions and their limitations.'
article_processing_charge: No
author:
- first_name: Barbora
full_name: Trubenova, Barbora
id: 42302D54-F248-11E8-B48F-1D18A9856A87
last_name: Trubenova
orcid: 0000-0002-6873-2967
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
orcid: 0000-0002-2519-824X
- first_name: Reinmar
full_name: Hager, Reinmar
last_name: Hager
citation:
ama: Trubenova B, Novak S, Hager R. Indirect genetic effects and the dynamics of
social interactions. PLoS One. 2015;10(5). doi:10.1371/journal.pone.0126907
apa: Trubenova, B., Novak, S., & Hager, R. (2015). Indirect genetic effects
and the dynamics of social interactions. PLoS One. Public Library of Science.
https://doi.org/10.1371/journal.pone.0126907
chicago: Trubenova, Barbora, Sebastian Novak, and Reinmar Hager. “Indirect Genetic
Effects and the Dynamics of Social Interactions.” PLoS One. Public Library
of Science, 2015. https://doi.org/10.1371/journal.pone.0126907.
ieee: B. Trubenova, S. Novak, and R. Hager, “Indirect genetic effects and the dynamics
of social interactions,” PLoS One, vol. 10, no. 5. Public Library of Science,
2015.
ista: Trubenova B, Novak S, Hager R. 2015. Indirect genetic effects and the dynamics
of social interactions. PLoS One. 10(5).
mla: Trubenova, Barbora, et al. “Indirect Genetic Effects and the Dynamics of Social
Interactions.” PLoS One, vol. 10, no. 5, Public Library of Science, 2015,
doi:10.1371/journal.pone.0126907.
short: B. Trubenova, S. Novak, R. Hager, PLoS One 10 (2015).
corr_author: '1'
date_created: 2018-12-11T11:54:07Z
date_published: 2015-05-18T00:00:00Z
date_updated: 2025-09-23T09:21:54Z
day: '18'
ddc:
- '570'
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department:
- _id: NiBa
doi: 10.1371/journal.pone.0126907
external_id:
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file:
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oa_version: Published Version
publication: PLoS One
publication_status: published
publisher: Public Library of Science
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related_material:
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relation: research_data
status: public
scopus_import: '1'
status: public
title: Indirect genetic effects and the dynamics of social interactions
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: '2015'
...
---
_id: '1818'
abstract:
- lang: eng
text: 'Why do species not adapt to ever-wider ranges of conditions, gradually expanding
their ecological niche and geographic range? Gene flow across environments has
two conflicting effects: although it increases genetic variation, which is a prerequisite
for adaptation, gene flow may swamp adaptation to local conditions. In 1956, Haldane
proposed that, when the environment varies across space, "swamping"
by gene flow creates a positive feedback between low population size and maladaptation,
leading to a sharp range margin. However, current deterministic theory shows that,
when variance can evolve, there is no such limit. Using simple analytical tools
and simulations, we show that genetic drift can generate a sharp margin to a species''
range, by reducing genetic variance below the level needed for adaptation to spatially
variable conditions. Aided by separation of ecological and evolutionary timescales,
the identified effective dimensionless parameters reveal a simple threshold that
predicts when adaptation at the range margin fails. Two observable parameters
determine the threshold: (i) the effective environmental gradient, which can be
measured by the loss of fitness due to dispersal to a different environment; and
(ii) the efficacy of selection relative to genetic drift. The theory predicts
sharp range margins even in the absence of abrupt changes in the environment.
Furthermore, it implies that gradual worsening of conditions across a species''
habitat may lead to a sudden range fragmentation, when adaptation to a wide span
of conditions within a single species becomes impossible.'
article_processing_charge: No
author:
- first_name: Jitka
full_name: Polechova, Jitka
id: 3BBFB084-F248-11E8-B48F-1D18A9856A87
last_name: Polechova
orcid: 0000-0003-0951-3112
- 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: Polechova J, Barton NH. Limits to adaptation along environmental gradients.
PNAS. 2015;112(20):6401-6406. doi:10.1073/pnas.1421515112
apa: Polechova, J., & Barton, N. H. (2015). Limits to adaptation along environmental
gradients. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1421515112
chicago: Polechova, Jitka, and Nicholas H Barton. “Limits to Adaptation along Environmental
Gradients.” PNAS. National Academy of Sciences, 2015. https://doi.org/10.1073/pnas.1421515112.
ieee: J. Polechova and N. H. Barton, “Limits to adaptation along environmental gradients,”
PNAS, vol. 112, no. 20. National Academy of Sciences, pp. 6401–6406, 2015.
ista: Polechova J, Barton NH. 2015. Limits to adaptation along environmental gradients.
PNAS. 112(20), 6401–6406.
mla: Polechova, Jitka, and Nicholas H. Barton. “Limits to Adaptation along Environmental
Gradients.” PNAS, vol. 112, no. 20, National Academy of Sciences, 2015,
pp. 6401–06, doi:10.1073/pnas.1421515112.
short: J. Polechova, N.H. Barton, PNAS 112 (2015) 6401–6406.
corr_author: '1'
date_created: 2018-12-11T11:54:11Z
date_published: 2015-05-19T00:00:00Z
date_updated: 2025-09-23T09:27:16Z
day: '19'
department:
- _id: NiBa
doi: 10.1073/pnas.1421515112
ec_funded: 1
external_id:
isi:
- '000354729500058'
pmid:
- '25941385'
intvolume: ' 112'
isi: 1
issue: '20'
language:
- iso: eng
main_file_link:
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url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4443383/
month: '05'
oa: 1
oa_version: Submitted Version
page: 6401 - 6406
pmid: 1
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: PNAS
publication_status: published
publisher: National Academy of Sciences
publist_id: '5288'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Limits to adaptation along environmental gradients
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 112
year: '2015'
...
---
_id: '1835'
abstract:
- lang: eng
text: The behaviour of gene regulatory networks (GRNs) is typically analysed using
simulation-based statistical testing-like methods. In this paper, we demonstrate
that we can replace this approach by a formal verification-like method that gives
higher assurance and scalability. We focus on Wagner’s weighted GRN model with
varying weights, which is used in evolutionary biology. In the model, weight parameters
represent the gene interaction strength that may change due to genetic mutations.
For a property of interest, we synthesise the constraints over the parameter space
that represent the set of GRNs satisfying the property. We experimentally show
that our parameter synthesis procedure computes the mutational robustness of GRNs
–an important problem of interest in evolutionary biology– more efficiently than
the classical simulation method. We specify the property in linear temporal logics.
We employ symbolic bounded model checking and SMT solving to compute the space
of GRNs that satisfy the property, which amounts to synthesizing a set of linear
constraints on the weights.
acknowledgement: "SNSF Early Postdoc.Mobility Fellowship, the grant number P2EZP2
148797.\r\n"
alternative_title:
- LNCS
article_processing_charge: No
arxiv: 1
author:
- first_name: Mirco
full_name: Giacobbe, Mirco
id: 3444EA5E-F248-11E8-B48F-1D18A9856A87
last_name: Giacobbe
orcid: 0000-0001-8180-0904
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
- first_name: Ashutosh
full_name: Gupta, Ashutosh
id: 335E5684-F248-11E8-B48F-1D18A9856A87
last_name: Gupta
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000−0002−2985−7724
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Tatjana
full_name: Petrov, Tatjana
id: 3D5811FC-F248-11E8-B48F-1D18A9856A87
last_name: Petrov
orcid: 0000-0002-9041-0905
citation:
ama: Giacobbe M, Guet CC, Gupta A, Henzinger TA, Paixao T, Petrov T. Model checking
gene regulatory networks. 2015;9035:469-483. doi:10.1007/978-3-662-46681-0_47
apa: 'Giacobbe, M., Guet, C. C., Gupta, A., Henzinger, T. A., Paixao, T., &
Petrov, T. (2015). Model checking gene regulatory networks. Presented at the TACAS:
Tools and Algorithms for the Construction and Analysis of Systems, London, United
Kingdom: Springer. https://doi.org/10.1007/978-3-662-46681-0_47'
chicago: Giacobbe, Mirco, Calin C Guet, Ashutosh Gupta, Thomas A Henzinger, Tiago
Paixao, and Tatjana Petrov. “Model Checking Gene Regulatory Networks.” Lecture
Notes in Computer Science. Springer, 2015. https://doi.org/10.1007/978-3-662-46681-0_47.
ieee: M. Giacobbe, C. C. Guet, A. Gupta, T. A. Henzinger, T. Paixao, and T. Petrov,
“Model checking gene regulatory networks,” vol. 9035. Springer, pp. 469–483, 2015.
ista: Giacobbe M, Guet CC, Gupta A, Henzinger TA, Paixao T, Petrov T. 2015. Model
checking gene regulatory networks. 9035, 469–483.
mla: Giacobbe, Mirco, et al. Model Checking Gene Regulatory Networks. Vol.
9035, Springer, 2015, pp. 469–83, doi:10.1007/978-3-662-46681-0_47.
short: M. Giacobbe, C.C. Guet, A. Gupta, T.A. Henzinger, T. Paixao, T. Petrov, 9035
(2015) 469–483.
conference:
end_date: 2015-04-18
location: London, United Kingdom
name: 'TACAS: Tools and Algorithms for the Construction and Analysis of Systems'
start_date: 2015-04-11
date_created: 2018-12-11T11:54:16Z
date_published: 2015-04-01T00:00:00Z
date_updated: 2025-07-10T11:50:42Z
day: '01'
department:
- _id: ToHe
- _id: CaGu
- _id: NiBa
doi: 10.1007/978-3-662-46681-0_47
ec_funded: 1
external_id:
arxiv:
- '1410.7704'
intvolume: ' 9035'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1410.7704
month: '04'
oa: 1
oa_version: Preprint
page: 469 - 483
project:
- _id: 25EE3708-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '267989'
name: Quantitative Reactive Modeling
- _id: 25832EC2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S 11407_N23
name: Rigorous Systems Engineering
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z211
name: Formal methods for the design and analysis of complex systems
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication_status: published
publisher: Springer
publist_id: '5267'
quality_controlled: '1'
related_material:
record:
- id: '1351'
relation: later_version
status: public
scopus_import: '1'
series_title: Lecture Notes in Computer Science
status: public
title: Model checking gene regulatory networks
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 9035
year: '2015'
...
---
_id: '1542'
abstract:
- lang: eng
text: 'The theory of population genetics and evolutionary computation have been
evolving separately for nearly 30 years. Many results have been independently
obtained in both fields and many others are unique to its respective field. We
aim to bridge this gap by developing a unifying framework for evolutionary processes
that allows both evolutionary algorithms and population genetics models to be
cast in the same formal framework. The framework we present here decomposes the
evolutionary process into its several components in order to facilitate the identification
of similarities between different models. In particular, we propose a classification
of evolutionary operators based on the defining properties of the different components.
We cast several commonly used operators from both fields into this common framework.
Using this, we map different evolutionary and genetic algorithms to different
evolutionary regimes and identify candidates with the most potential for the translation
of results between the fields. This provides a unified description of evolutionary
processes and represents a stepping stone towards new tools and results to both
fields. '
article_processing_charge: No
author:
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Golnaz
full_name: Badkobeh, Golnaz
last_name: Badkobeh
- 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: Doğan
full_name: Çörüş, Doğan
last_name: Çörüş
- first_name: Duccuong
full_name: Dang, Duccuong
last_name: Dang
- first_name: Tobias
full_name: Friedrich, Tobias
last_name: Friedrich
- first_name: Per
full_name: Lehre, Per
last_name: Lehre
- first_name: Dirk
full_name: Sudholt, Dirk
last_name: Sudholt
- first_name: Andrew
full_name: Sutton, Andrew
last_name: Sutton
- first_name: Barbora
full_name: Trubenova, Barbora
id: 42302D54-F248-11E8-B48F-1D18A9856A87
last_name: Trubenova
orcid: 0000-0002-6873-2967
citation:
ama: Paixao T, Badkobeh G, Barton NH, et al. Toward a unifying framework for evolutionary
processes. Journal of Theoretical Biology. 2015;383:28-43. doi:10.1016/j.jtbi.2015.07.011
apa: Paixao, T., Badkobeh, G., Barton, N. H., Çörüş, D., Dang, D., Friedrich, T.,
… Trubenova, B. (2015). Toward a unifying framework for evolutionary processes.
Journal of Theoretical Biology. Elsevier. https://doi.org/10.1016/j.jtbi.2015.07.011
chicago: Paixao, Tiago, Golnaz Badkobeh, Nicholas H Barton, Doğan Çörüş, Duccuong
Dang, Tobias Friedrich, Per Lehre, Dirk Sudholt, Andrew Sutton, and Barbora Trubenova.
“Toward a Unifying Framework for Evolutionary Processes.” Journal of Theoretical
Biology. Elsevier, 2015. https://doi.org/10.1016/j.jtbi.2015.07.011.
ieee: T. Paixao et al., “Toward a unifying framework for evolutionary processes,”
Journal of Theoretical Biology, vol. 383. Elsevier, pp. 28–43, 2015.
ista: Paixao T, Badkobeh G, Barton NH, Çörüş D, Dang D, Friedrich T, Lehre P, Sudholt
D, Sutton A, Trubenova B. 2015. Toward a unifying framework for evolutionary processes.
Journal of Theoretical Biology. 383, 28–43.
mla: Paixao, Tiago, et al. “Toward a Unifying Framework for Evolutionary Processes.”
Journal of Theoretical Biology, vol. 383, Elsevier, 2015, pp. 28–43, doi:10.1016/j.jtbi.2015.07.011.
short: T. Paixao, G. Badkobeh, N.H. Barton, D. Çörüş, D. Dang, T. Friedrich, P.
Lehre, D. Sudholt, A. Sutton, B. Trubenova, Journal of Theoretical Biology 383
(2015) 28–43.
corr_author: '1'
das_tickbox: '1'
date_created: 2018-12-11T11:52:37Z
date_published: 2015-10-21T00:00:00Z
date_updated: 2026-07-07T13:12:13Z
day: '21'
ddc:
- '570'
department:
- _id: NiBa
- _id: CaGu
doi: 10.1016/j.jtbi.2015.07.011
ec_funded: 1
external_id:
isi:
- '000362056300005'
file:
- access_level: open_access
checksum: 33b60ecfea60764756a9ee9df5eb65ca
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:16:53Z
date_updated: 2020-07-14T12:45:01Z
file_id: '5244'
file_name: IST-2016-483-v1+1_1-s2.0-S0022519315003409-main.pdf
file_size: 595307
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intvolume: ' 383'
isi: 1
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '10'
oa: 1
oa_version: Published Version
page: 28 - 43
project:
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Journal of Theoretical Biology
publication_status: published
publisher: Elsevier
publist_id: '5629'
pubrep_id: '483'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Toward a unifying framework for evolutionary processes
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: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 383
year: '2015'
...
---
_id: '1666'
abstract:
- lang: eng
text: Evolution of gene regulation is crucial for our understanding of the phenotypic
differences between species, populations and individuals. Sequence-specific binding
of transcription factors to the regulatory regions on the DNA is a key regulatory
mechanism that determines gene expression and hence heritable phenotypic variation.
We use a biophysical model for directional selection on gene expression to estimate
the rates of gain and loss of transcription factor binding sites (TFBS) in finite
populations under both point and insertion/deletion mutations. Our results show
that these rates are typically slow for a single TFBS in an isolated DNA region,
unless the selection is extremely strong. These rates decrease drastically with
increasing TFBS length or increasingly specific protein-DNA interactions, making
the evolution of sites longer than ∼ 10 bp unlikely on typical eukaryotic speciation
timescales. Similarly, evolution converges to the stationary distribution of binding
sequences very slowly, making the equilibrium assumption questionable. The availability
of longer regulatory sequences in which multiple binding sites can evolve simultaneously,
the presence of “pre-sites” or partially decayed old sites in the initial sequence,
and biophysical cooperativity between transcription factors, can all facilitate
gain of TFBS and reconcile theoretical calculations with timescales inferred from
comparative genomics.
article_processing_charge: No
author:
- first_name: Murat
full_name: Tugrul, Murat
id: 37C323C6-F248-11E8-B48F-1D18A9856A87
last_name: Tugrul
orcid: 0000-0002-8523-0758
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- 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: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
citation:
ama: Tugrul M, Paixao T, Barton NH, Tkačik G. Dynamics of transcription factor binding
site evolution. PLoS Genetics. 2015;11(11). doi:10.1371/journal.pgen.1005639
apa: Tugrul, M., Paixao, T., Barton, N. H., & Tkačik, G. (2015). Dynamics of
transcription factor binding site evolution. PLoS Genetics. Public Library
of Science. https://doi.org/10.1371/journal.pgen.1005639
chicago: Tugrul, Murat, Tiago Paixao, Nicholas H Barton, and Gašper Tkačik. “Dynamics
of Transcription Factor Binding Site Evolution.” PLoS Genetics. Public
Library of Science, 2015. https://doi.org/10.1371/journal.pgen.1005639.
ieee: M. Tugrul, T. Paixao, N. H. Barton, and G. Tkačik, “Dynamics of transcription
factor binding site evolution,” PLoS Genetics, vol. 11, no. 11. Public
Library of Science, 2015.
ista: Tugrul M, Paixao T, Barton NH, Tkačik G. 2015. Dynamics of transcription factor
binding site evolution. PLoS Genetics. 11(11).
mla: Tugrul, Murat, et al. “Dynamics of Transcription Factor Binding Site Evolution.”
PLoS Genetics, vol. 11, no. 11, Public Library of Science, 2015, doi:10.1371/journal.pgen.1005639.
short: M. Tugrul, T. Paixao, N.H. Barton, G. Tkačik, PLoS Genetics 11 (2015).
date_created: 2018-12-11T11:53:21Z
date_published: 2015-11-06T00:00:00Z
date_updated: 2026-07-29T11:31:13Z
day: '06'
ddc:
- '576'
department:
- _id: NiBa
- _id: CaGu
- _id: GaTk
doi: 10.1371/journal.pgen.1005639
ec_funded: 1
external_id:
isi:
- '000366179000022'
file:
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checksum: a4e72fca5ccf40ddacf4d08c8e46b554
content_type: application/pdf
creator: system
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date_updated: 2020-07-14T12:45:10Z
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file_name: IST-2016-463-v1+1_journal.pgen.1005639.pdf
file_size: 2580778
relation: main_file
file_date_updated: 2020-07-14T12:45:10Z
has_accepted_license: '1'
intvolume: ' 11'
isi: 1
issue: '11'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: PLoS Genetics
publication_status: published
publisher: Public Library of Science
publist_id: '5483'
pubrep_id: '463'
quality_controlled: '1'
related_material:
record:
- id: '9712'
relation: research_data
status: public
- id: '1131'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Dynamics of transcription factor binding site evolution
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: 11
year: '2015'
...
---
_id: '2252'
abstract:
- lang: eng
text: The pattern of inheritance and mechanism of sex determination can have important
evolutionary consequences. We studied probabilistic sex determination in the ciliate
Tetrahymena thermophila, which was previously shown to cause evolution of skewed
sex ratios. We find that the genetic background alters the sex determination patterns
of mat alleles in heterozygotes and that allelic interaction can differentially
influence the expression probability of the 7 sexes. We quantify the dominance
relationships between several mat alleles and find that A-type alleles, which
specify sex I, are indeed recessive to B-type alleles, which are unable to specify
that sex. Our results provide additional support for the presence of modifier
loci and raise implications for the dynamics of sex ratios in populations of T.
thermophila.
article_processing_charge: No
author:
- first_name: Sujal
full_name: Phadke, Sujal
last_name: Phadke
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Tuan
full_name: Pham, Tuan
last_name: Pham
- first_name: Stephanie
full_name: Pham, Stephanie
last_name: Pham
- first_name: Rebecca
full_name: Zufall, Rebecca
last_name: Zufall
citation:
ama: Phadke S, Paixao T, Pham T, Pham S, Zufall R. Genetic background alters dominance
relationships between mat alleles in the ciliate Tetrahymena Thermophila. Journal
of Heredity. 2014;105(1):130-135. doi:10.1093/jhered/est063
apa: Phadke, S., Paixao, T., Pham, T., Pham, S., & Zufall, R. (2014). Genetic
background alters dominance relationships between mat alleles in the ciliate Tetrahymena
Thermophila. Journal of Heredity. Oxford University Press. https://doi.org/10.1093/jhered/est063
chicago: Phadke, Sujal, Tiago Paixao, Tuan Pham, Stephanie Pham, and Rebecca Zufall.
“Genetic Background Alters Dominance Relationships between Mat Alleles in the
Ciliate Tetrahymena Thermophila.” Journal of Heredity. Oxford University
Press, 2014. https://doi.org/10.1093/jhered/est063.
ieee: S. Phadke, T. Paixao, T. Pham, S. Pham, and R. Zufall, “Genetic background
alters dominance relationships between mat alleles in the ciliate Tetrahymena
Thermophila,” Journal of Heredity, vol. 105, no. 1. Oxford University Press,
pp. 130–135, 2014.
ista: Phadke S, Paixao T, Pham T, Pham S, Zufall R. 2014. Genetic background alters
dominance relationships between mat alleles in the ciliate Tetrahymena Thermophila.
Journal of Heredity. 105(1), 130–135.
mla: Phadke, Sujal, et al. “Genetic Background Alters Dominance Relationships between
Mat Alleles in the Ciliate Tetrahymena Thermophila.” Journal of Heredity,
vol. 105, no. 1, Oxford University Press, 2014, pp. 130–35, doi:10.1093/jhered/est063.
short: S. Phadke, T. Paixao, T. Pham, S. Pham, R. Zufall, Journal of Heredity 105
(2014) 130–135.
corr_author: '1'
date_created: 2018-12-11T11:56:35Z
date_published: 2014-01-01T00:00:00Z
date_updated: 2025-09-29T11:16:03Z
day: '01'
department:
- _id: NiBa
doi: 10.1093/jhered/est063
external_id:
isi:
- '000328427800013'
intvolume: ' 105'
isi: 1
issue: '1'
language:
- iso: eng
month: '01'
oa_version: None
page: 130 - 135
publication: Journal of Heredity
publication_identifier:
issn:
- 0022-1503
publication_status: published
publisher: Oxford University Press
publist_id: '4695'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Genetic background alters dominance relationships between mat alleles in the
ciliate Tetrahymena Thermophila
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 105
year: '2014'
...
---
_id: '2168'
abstract:
- lang: eng
text: Many species have an essentially continuous distribution in space, in which
there are no natural divisions between randomly mating subpopulations. Yet, the
standard approach to modelling these populations is to impose an arbitrary grid
of demes, adjusting deme sizes and migration rates in an attempt to capture the
important features of the population. Such indirect methods are required because
of the failure of the classical models of isolation by distance, which have been
shown to have major technical flaws. A recently introduced model of extinction
and recolonisation in two dimensions solves these technical problems, and provides
a rigorous technical foundation for the study of populations evolving in a spatial
continuum. The coalescent process for this model is simply stated, but direct
simulation is very inefficient for large neighbourhood sizes. We present efficient
and exact algorithms to simulate this coalescent process for arbitrary sample
sizes and numbers of loci, and analyse these algorithms in detail.
article_processing_charge: No
author:
- first_name: Jerome
full_name: Kelleher, Jerome
last_name: Kelleher
- first_name: Alison
full_name: Etheridge, Alison
last_name: Etheridge
- 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: 'Kelleher J, Etheridge A, Barton NH. Coalescent simulation in continuous space:
Algorithms for large neighbourhood size. Theoretical Population Biology.
2014;95:13-23. doi:10.1016/j.tpb.2014.05.001'
apa: 'Kelleher, J., Etheridge, A., & Barton, N. H. (2014). Coalescent simulation
in continuous space: Algorithms for large neighbourhood size. Theoretical Population
Biology. Academic Press. https://doi.org/10.1016/j.tpb.2014.05.001'
chicago: 'Kelleher, Jerome, Alison Etheridge, and Nicholas H Barton. “Coalescent
Simulation in Continuous Space: Algorithms for Large Neighbourhood Size.” Theoretical
Population Biology. Academic Press, 2014. https://doi.org/10.1016/j.tpb.2014.05.001.'
ieee: 'J. Kelleher, A. Etheridge, and N. H. Barton, “Coalescent simulation in continuous
space: Algorithms for large neighbourhood size,” Theoretical Population Biology,
vol. 95. Academic Press, pp. 13–23, 2014.'
ista: 'Kelleher J, Etheridge A, Barton NH. 2014. Coalescent simulation in continuous
space: Algorithms for large neighbourhood size. Theoretical Population Biology.
95, 13–23.'
mla: 'Kelleher, Jerome, et al. “Coalescent Simulation in Continuous Space: Algorithms
for Large Neighbourhood Size.” Theoretical Population Biology, vol. 95,
Academic Press, 2014, pp. 13–23, doi:10.1016/j.tpb.2014.05.001.'
short: J. Kelleher, A. Etheridge, N.H. Barton, Theoretical Population Biology 95
(2014) 13–23.
date_created: 2018-12-11T11:56:06Z
date_published: 2014-08-01T00:00:00Z
date_updated: 2025-09-29T11:39:51Z
day: '01'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1016/j.tpb.2014.05.001
ec_funded: 1
external_id:
isi:
- '000339460300002'
file:
- access_level: open_access
checksum: 979d7a8034e9df198f068f0d251f31bd
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:10:49Z
date_updated: 2020-07-14T12:45:31Z
file_id: '4839'
file_name: IST-2015-391-v1+1_1-s2.0-S0040580914000355-main.pdf
file_size: 569005
relation: main_file
file_date_updated: 2020-07-14T12:45:31Z
has_accepted_license: '1'
intvolume: ' 95'
isi: 1
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
page: 13 - 23
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Theoretical Population Biology
publication_status: published
publisher: Academic Press
publist_id: '4816'
pubrep_id: '391'
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Coalescent simulation in continuous space: Algorithms for large neighbourhood
size'
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: 95
year: '2014'
...
---
_id: '2169'
article_processing_charge: No
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: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
orcid: 0000-0002-2519-824X
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
citation:
ama: Barton NH, Novak S, Paixao T. Diverse forms of selection in evolution and computer
science. PNAS. 2014;111(29):10398-10399. doi:10.1073/pnas.1410107111
apa: Barton, N. H., Novak, S., & Paixao, T. (2014). Diverse forms of selection
in evolution and computer science. PNAS. National Academy of Sciences.
https://doi.org/10.1073/pnas.1410107111
chicago: Barton, Nicholas H, Sebastian Novak, and Tiago Paixao. “Diverse Forms of
Selection in Evolution and Computer Science.” PNAS. National Academy of
Sciences, 2014. https://doi.org/10.1073/pnas.1410107111.
ieee: N. H. Barton, S. Novak, and T. Paixao, “Diverse forms of selection in evolution
and computer science,” PNAS, vol. 111, no. 29. National Academy of Sciences,
pp. 10398–10399, 2014.
ista: Barton NH, Novak S, Paixao T. 2014. Diverse forms of selection in evolution
and computer science. PNAS. 111(29), 10398–10399.
mla: Barton, Nicholas H., et al. “Diverse Forms of Selection in Evolution and Computer
Science.” PNAS, vol. 111, no. 29, National Academy of Sciences, 2014, pp.
10398–99, doi:10.1073/pnas.1410107111.
short: N.H. Barton, S. Novak, T. Paixao, PNAS 111 (2014) 10398–10399.
corr_author: '1'
date_created: 2018-12-11T11:56:07Z
date_published: 2014-07-22T00:00:00Z
date_updated: 2025-09-29T11:39:19Z
day: '22'
department:
- _id: NiBa
doi: 10.1073/pnas.1410107111
external_id:
isi:
- '000339310700017'
intvolume: ' 111'
isi: 1
issue: '29'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4115508/
month: '07'
oa: 1
oa_version: Submitted Version
page: 10398 - 10399
publication: PNAS
publication_status: published
publisher: National Academy of Sciences
publist_id: '4815'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Diverse forms of selection in evolution and computer science
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 111
year: '2014'
...
---
_id: '2170'
abstract:
- lang: eng
text: ' Short-read sequencing technologies have in principle made it feasible to
draw detailed inferences about the recent history of any organism. In practice,
however, this remains challenging due to the difficulty of genome assembly in
most organisms and the lack of statistical methods powerful enough to discriminate
between recent, nonequilibrium histories. We address both the assembly and inference
challenges. We develop a bioinformatic pipeline for generating outgroup-rooted
alignments of orthologous sequence blocks from de novo low-coverage short-read
data for a small number of genomes, and show how such sequence blocks can be used
to fit explicit models of population divergence and admixture in a likelihood
framework. To illustrate our approach, we reconstruct the Pleistocene history
of an oak-feeding insect (the oak gallwasp Biorhiza pallida), which, in common
with many other taxa, was restricted during Pleistocene ice ages to a longitudinal
series of southern refugia spanning the Western Palaearctic. Our analysis of sequence
blocks sampled from a single genome from each of three major glacial refugia reveals
support for an unexpected history dominated by recent admixture. Despite the fact
that 80% of the genome is affected by admixture during the last glacial cycle,
we are able to infer the deeper divergence history of these populations. These
inferences are robust to variation in block length, mutation model and the sampling
location of individual genomes within refugia. This combination of de novo assembly
and numerical likelihood calculation provides a powerful framework for estimating
recent population history that can be applied to any organism without the need
for prior genetic resources.'
acknowledgement: This work was funded by NERC grants to G Stone, J Nicholls, K Lohse
and N Barton (NE/J010499, NBAF375, NE/E014453/1 and NER/B/S2003/00856).
article_processing_charge: No
author:
- first_name: Jack
full_name: Hearn, Jack
last_name: Hearn
- first_name: Graham
full_name: Stone, Graham
last_name: Stone
- first_name: Lynsey
full_name: Bunnefeld, Lynsey
last_name: Bunnefeld
- first_name: James
full_name: Nicholls, James
last_name: Nicholls
- 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: Konrad
full_name: Lohse, Konrad
last_name: Lohse
citation:
ama: Hearn J, Stone G, Bunnefeld L, Nicholls J, Barton NH, Lohse K. Likelihood-based
inference of population history from low-coverage de novo genome assemblies. Molecular
Ecology. 2014;23(1):198-211. doi:10.1111/mec.12578
apa: Hearn, J., Stone, G., Bunnefeld, L., Nicholls, J., Barton, N. H., & Lohse,
K. (2014). Likelihood-based inference of population history from low-coverage
de novo genome assemblies. Molecular Ecology. Wiley-Blackwell. https://doi.org/10.1111/mec.12578
chicago: Hearn, Jack, Graham Stone, Lynsey Bunnefeld, James Nicholls, Nicholas H
Barton, and Konrad Lohse. “Likelihood-Based Inference of Population History from
Low-Coverage de Novo Genome Assemblies.” Molecular Ecology. Wiley-Blackwell,
2014. https://doi.org/10.1111/mec.12578.
ieee: J. Hearn, G. Stone, L. Bunnefeld, J. Nicholls, N. H. Barton, and K. Lohse,
“Likelihood-based inference of population history from low-coverage de novo genome
assemblies,” Molecular Ecology, vol. 23, no. 1. Wiley-Blackwell, pp. 198–211,
2014.
ista: Hearn J, Stone G, Bunnefeld L, Nicholls J, Barton NH, Lohse K. 2014. Likelihood-based
inference of population history from low-coverage de novo genome assemblies. Molecular
Ecology. 23(1), 198–211.
mla: Hearn, Jack, et al. “Likelihood-Based Inference of Population History from
Low-Coverage de Novo Genome Assemblies.” Molecular Ecology, vol. 23, no.
1, Wiley-Blackwell, 2014, pp. 198–211, doi:10.1111/mec.12578.
short: J. Hearn, G. Stone, L. Bunnefeld, J. Nicholls, N.H. Barton, K. Lohse, Molecular
Ecology 23 (2014) 198–211.
date_created: 2018-12-11T11:56:07Z
date_published: 2014-01-01T00:00:00Z
date_updated: 2025-09-29T11:38:51Z
day: '01'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1111/mec.12578
external_id:
isi:
- '000330950900017'
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oa_version: Submitted Version
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publication: Molecular Ecology
publication_status: published
publisher: Wiley-Blackwell
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relation: research_data
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scopus_import: '1'
status: public
title: Likelihood-based inference of population history from low-coverage de novo
genome assemblies
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 23
year: '2014'
...
---
_id: '2174'
abstract:
- lang: eng
text: 'When polygenic traits are under stabilizing selection, many different combinations
of alleles allow close adaptation to the optimum. If alleles have equal effects,
all combinations that result in the same deviation from the optimum are equivalent.
Furthermore, the genetic variance that is maintained by mutation-selection balance
is 2μ/S per locus, where μ is the mutation rate and S the strength of stabilizing
selection. In reality, alleles vary in their effects, making the fitness landscape
asymmetric and complicating analysis of the equilibria. We show that that the
resulting genetic variance depends on the fraction of alleles near fixation, which
contribute by 2μ/S, and on the total mutational effects of alleles that are at
intermediate frequency. The inpplayfi between stabilizing selection and mutation
leads to a sharp transition: alleles with effects smaller than a threshold value
of 2 remain polymorphic, whereas those with larger effects are fixed. The genetic
load in equilibrium is less than for traits of equal effects, and the fitness
equilibria are more similar. We find p the optimum is displaced, alleles with
effects close to the threshold value sweep first, and their rate of increase is
bounded by Long-term response leads in general to well-adapted traits, unlike
the case of equal effects that often end up at a suboptimal fitness peak. However,
the particular peaks to which the populations converge are extremely sensitive
to the initial states and to the speed of the shift of the optimum trait value.'
article_processing_charge: No
arxiv: 1
author:
- first_name: Harold
full_name: De Vladar, Harold
last_name: De Vladar
- 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: De Vladar H, Barton NH. Stability and response of polygenic traits to stabilizing
selection and mutation. Genetics. 2014;197(2):749-767. doi:10.1534/genetics.113.159111
apa: De Vladar, H., & Barton, N. H. (2014). Stability and response of polygenic
traits to stabilizing selection and mutation. Genetics. Genetics Society
of America. https://doi.org/10.1534/genetics.113.159111
chicago: De Vladar, Harold, and Nicholas H Barton. “Stability and Response of Polygenic
Traits to Stabilizing Selection and Mutation.” Genetics. Genetics Society
of America, 2014. https://doi.org/10.1534/genetics.113.159111.
ieee: H. De Vladar and N. H. Barton, “Stability and response of polygenic traits
to stabilizing selection and mutation,” Genetics, vol. 197, no. 2. Genetics
Society of America, pp. 749–767, 2014.
ista: De Vladar H, Barton NH. 2014. Stability and response of polygenic traits to
stabilizing selection and mutation. Genetics. 197(2), 749–767.
mla: De Vladar, Harold, and Nicholas H. Barton. “Stability and Response of Polygenic
Traits to Stabilizing Selection and Mutation.” Genetics, vol. 197, no.
2, Genetics Society of America, 2014, pp. 749–67, doi:10.1534/genetics.113.159111.
short: H. De Vladar, N.H. Barton, Genetics 197 (2014) 749–767.
corr_author: '1'
date_created: 2018-12-11T11:56:08Z
date_published: 2014-06-01T00:00:00Z
date_updated: 2025-09-29T11:37:14Z
day: '01'
department:
- _id: NiBa
doi: 10.1534/genetics.113.159111
ec_funded: 1
external_id:
arxiv:
- '1404.1017'
isi:
- '000338697000027'
intvolume: ' 197'
isi: 1
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1404.1017
month: '06'
oa: 1
oa_version: Submitted Version
page: 749 - 767
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Genetics
publication_status: published
publisher: Genetics Society of America
publist_id: '4809'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Stability and response of polygenic traits to stabilizing selection and mutation
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 197
year: '2014'
...
---
_id: '1896'
abstract:
- lang: eng
text: 'Biopolymer length regulation is a complex process that involves a large number
of biological, chemical, and physical subprocesses acting simultaneously across
multiple spatial and temporal scales. An illustrative example important for genomic
stability is the length regulation of telomeres - nucleoprotein structures at
the ends of linear chromosomes consisting of tandemly repeated DNA sequences and
a specialized set of proteins. Maintenance of telomeres is often facilitated by
the enzyme telomerase but, particularly in telomerase-free systems, the maintenance
of chromosomal termini depends on alternative lengthening of telomeres (ALT) mechanisms
mediated by recombination. Various linear and circular DNA structures were identified
to participate in ALT, however, dynamics of the whole process is still poorly
understood. We propose a chemical kinetics model of ALT with kinetic rates systematically
derived from the biophysics of DNA diffusion and looping. The reaction system
is reduced to a coagulation-fragmentation system by quasi-steady-state approximation.
The detailed treatment of kinetic rates yields explicit formulas for expected
size distributions of telomeres that demonstrate the key role played by the J
factor, a quantitative measure of bending of polymers. The results are in agreement
with experimental data and point out interesting phenomena: an appearance of very
long telomeric circles if the total telomere density exceeds a critical value
(excess mass) and a nonlinear response of the telomere size distributions to the
amount of telomeric DNA in the system. The results can be of general importance
for understanding dynamics of telomeres in telomerase-independent systems as this
mode of telomere maintenance is similar to the situation in tumor cells lacking
telomerase activity. Furthermore, due to its universality, the model may also
serve as a prototype of an interaction between linear and circular DNA structures
in various settings.'
acknowledgement: The work was supported by the VEGA Grant No. 1/0459/13 (R.K. and
K.B.).
article_number: '032701'
article_processing_charge: No
arxiv: 1
author:
- first_name: Richard
full_name: Kollár, Richard
last_name: Kollár
- first_name: Katarína
full_name: Bod'ová, Katarína
id: 2BA24EA0-F248-11E8-B48F-1D18A9856A87
last_name: Bod'ová
orcid: 0000-0002-7214-0171
- first_name: Jozef
full_name: Nosek, Jozef
last_name: Nosek
- first_name: Ľubomír
full_name: Tomáška, Ľubomír
last_name: Tomáška
citation:
ama: Kollár R, Bodova K, Nosek J, Tomáška Ľ. Mathematical model of alternative mechanism
of telomere length maintenance. Physical Review E Statistical Nonlinear and
Soft Matter Physics. 2014;89(3). doi:10.1103/PhysRevE.89.032701
apa: Kollár, R., Bodova, K., Nosek, J., & Tomáška, Ľ. (2014). Mathematical model
of alternative mechanism of telomere length maintenance. Physical Review E
Statistical Nonlinear and Soft Matter Physics. American Institute of Physics.
https://doi.org/10.1103/PhysRevE.89.032701
chicago: Kollár, Richard, Katarina Bodova, Jozef Nosek, and Ľubomír Tomáška. “Mathematical
Model of Alternative Mechanism of Telomere Length Maintenance.” Physical Review
E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics,
2014. https://doi.org/10.1103/PhysRevE.89.032701.
ieee: R. Kollár, K. Bodova, J. Nosek, and Ľ. Tomáška, “Mathematical model of alternative
mechanism of telomere length maintenance,” Physical Review E Statistical Nonlinear
and Soft Matter Physics, vol. 89, no. 3. American Institute of Physics, 2014.
ista: Kollár R, Bodova K, Nosek J, Tomáška Ľ. 2014. Mathematical model of alternative
mechanism of telomere length maintenance. Physical Review E Statistical Nonlinear
and Soft Matter Physics. 89(3), 032701.
mla: Kollár, Richard, et al. “Mathematical Model of Alternative Mechanism of Telomere
Length Maintenance.” Physical Review E Statistical Nonlinear and Soft Matter
Physics, vol. 89, no. 3, 032701, American Institute of Physics, 2014, doi:10.1103/PhysRevE.89.032701.
short: R. Kollár, K. Bodova, J. Nosek, Ľ. Tomáška, Physical Review E Statistical
Nonlinear and Soft Matter Physics 89 (2014).
date_created: 2018-12-11T11:54:35Z
date_published: 2014-03-04T00:00:00Z
date_updated: 2025-09-29T13:03:34Z
day: '04'
department:
- _id: NiBa
- _id: GaTk
doi: 10.1103/PhysRevE.89.032701
external_id:
arxiv:
- '1402.0430'
isi:
- '000332274100002'
intvolume: ' 89'
isi: 1
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1402.0430
month: '03'
oa: 1
oa_version: Submitted Version
publication: Physical Review E Statistical Nonlinear and Soft Matter Physics
publication_status: published
publisher: American Institute of Physics
publist_id: '5198'
scopus_import: '1'
status: public
title: Mathematical model of alternative mechanism of telomere length maintenance
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 89
year: '2014'
...
---
_id: '1908'
abstract:
- lang: eng
text: In large populations, multiple beneficial mutations may be simultaneously
spreading. In asexual populations, these mutations must either arise on the same
background or compete against each other. In sexual populations, recombination
can bring together beneficial alleles from different backgrounds, but tightly
linked alleles may still greatly interfere with each other. We show for well-mixed
populations that when this interference is strong, the genome can be seen as consisting
of many effectively asexual stretches linked together. The rate at which beneficial
alleles fix is thus roughly proportional to the rate of recombination and depends
only logarithmically on the mutation supply and the strength of selection. Our
scaling arguments also allow us to predict, with reasonable accuracy, the fitness
distribution of fixed mutations when the mutational effect sizes are broad. We
focus on the regime in which crossovers occur more frequently than beneficial
mutations, as is likely to be the case for many natural populations.
article_processing_charge: No
arxiv: 1
author:
- first_name: Daniel
full_name: Weissman, Daniel
id: 2D0CE020-F248-11E8-B48F-1D18A9856A87
last_name: Weissman
- first_name: Oskar
full_name: Hallatschek, Oskar
last_name: Hallatschek
citation:
ama: Weissman D, Hallatschek O. The rate of adaptation in large sexual populations
with linear chromosomes. Genetics. 2014;196(4):1167-1183. doi:10.1534/genetics.113.160705
apa: Weissman, D., & Hallatschek, O. (2014). The rate of adaptation in large
sexual populations with linear chromosomes. Genetics. Genetics Society
of America. https://doi.org/10.1534/genetics.113.160705
chicago: Weissman, Daniel, and Oskar Hallatschek. “The Rate of Adaptation in Large
Sexual Populations with Linear Chromosomes.” Genetics. Genetics Society
of America, 2014. https://doi.org/10.1534/genetics.113.160705.
ieee: D. Weissman and O. Hallatschek, “The rate of adaptation in large sexual populations
with linear chromosomes,” Genetics, vol. 196, no. 4. Genetics Society of
America, pp. 1167–1183, 2014.
ista: Weissman D, Hallatschek O. 2014. The rate of adaptation in large sexual populations
with linear chromosomes. Genetics. 196(4), 1167–1183.
mla: Weissman, Daniel, and Oskar Hallatschek. “The Rate of Adaptation in Large Sexual
Populations with Linear Chromosomes.” Genetics, vol. 196, no. 4, Genetics
Society of America, 2014, pp. 1167–83, doi:10.1534/genetics.113.160705.
short: D. Weissman, O. Hallatschek, Genetics 196 (2014) 1167–1183.
corr_author: '1'
date_created: 2018-12-11T11:54:39Z
date_published: 2014-04-01T00:00:00Z
date_updated: 2025-09-29T12:27:03Z
day: '01'
department:
- _id: NiBa
doi: 10.1534/genetics.113.160705
ec_funded: 1
external_id:
arxiv:
- '1307.0737'
isi:
- '000334179300022'
intvolume: ' 196'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1307.0737
month: '04'
oa: 1
oa_version: Submitted Version
page: 1167 - 1183
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Genetics
publication_status: published
publisher: Genetics Society of America
publist_id: '5187'
quality_controlled: '1'
scopus_import: '1'
status: public
title: The rate of adaptation in large sexual populations with linear chromosomes
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 196
year: '2014'
...