---
_id: '723'
abstract:
- lang: eng
text: Escaping local optima is one of the major obstacles to function optimisation.
Using the metaphor of a fitness landscape, local optima correspond to hills separated
by fitness valleys that have to be overcome. We define a class of fitness valleys
of tunable difficulty by considering their length, representing the Hamming path
between the two optima and their depth, the drop in fitness. For this function
class we present a runtime comparison between stochastic search algorithms using
different search strategies. The (1+1) EA is a simple and well-studied evolutionary
algorithm that has to jump across the valley to a point of higher fitness because
it does not accept worsening moves (elitism). In contrast, the Metropolis algorithm
and the Strong Selection Weak Mutation (SSWM) algorithm, a famous process in population
genetics, are both able to cross the fitness valley by accepting worsening moves.
We show that the runtime of the (1+1) EA depends critically on the length of the
valley while the runtimes of the non-elitist algorithms depend crucially on the
depth of the valley. Moreover, we show that both SSWM and Metropolis can also
efficiently optimise a rugged function consisting of consecutive valleys.
article_processing_charge: No
author:
- first_name: Pietro
full_name: Oliveto, Pietro
last_name: Oliveto
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Jorge
full_name: Pérez Heredia, Jorge
last_name: Pérez Heredia
- first_name: Dirk
full_name: Sudholt, Dirk
last_name: Sudholt
- first_name: Barbora
full_name: Trubenova, Barbora
id: 42302D54-F248-11E8-B48F-1D18A9856A87
last_name: Trubenova
orcid: 0000-0002-6873-2967
citation:
ama: Oliveto P, Paixao T, Pérez Heredia J, Sudholt D, Trubenova B. How to escape
local optima in black box optimisation when non elitism outperforms elitism. Algorithmica.
2018;80(5):1604-1633. doi:10.1007/s00453-017-0369-2
apa: Oliveto, P., Paixao, T., Pérez Heredia, J., Sudholt, D., & Trubenova, B.
(2018). How to escape local optima in black box optimisation when non elitism
outperforms elitism. Algorithmica. Springer. https://doi.org/10.1007/s00453-017-0369-2
chicago: Oliveto, Pietro, Tiago Paixao, Jorge Pérez Heredia, Dirk Sudholt, and Barbora
Trubenova. “How to Escape Local Optima in Black Box Optimisation When Non Elitism
Outperforms Elitism.” Algorithmica. Springer, 2018. https://doi.org/10.1007/s00453-017-0369-2.
ieee: P. Oliveto, T. Paixao, J. Pérez Heredia, D. Sudholt, and B. Trubenova, “How
to escape local optima in black box optimisation when non elitism outperforms
elitism,” Algorithmica, vol. 80, no. 5. Springer, pp. 1604–1633, 2018.
ista: Oliveto P, Paixao T, Pérez Heredia J, Sudholt D, Trubenova B. 2018. How to
escape local optima in black box optimisation when non elitism outperforms elitism.
Algorithmica. 80(5), 1604–1633.
mla: Oliveto, Pietro, et al. “How to Escape Local Optima in Black Box Optimisation
When Non Elitism Outperforms Elitism.” Algorithmica, vol. 80, no. 5, Springer,
2018, pp. 1604–33, doi:10.1007/s00453-017-0369-2.
short: P. Oliveto, T. Paixao, J. Pérez Heredia, D. Sudholt, B. Trubenova, Algorithmica
80 (2018) 1604–1633.
date_created: 2018-12-11T11:48:09Z
date_published: 2018-05-01T00:00:00Z
date_updated: 2025-04-15T08:22:22Z
day: '01'
ddc:
- '576'
department:
- _id: NiBa
- _id: CaGu
doi: 10.1007/s00453-017-0369-2
ec_funded: 1
external_id:
isi:
- '000428239300010'
file:
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checksum: 7d92f5d7be81e387edeec4f06442791c
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:08:14Z
date_updated: 2020-07-14T12:47:54Z
file_id: '4674'
file_name: IST-2018-1014-v1+1_2018_Paixao_Escape.pdf
file_size: 691245
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intvolume: ' 80'
isi: 1
issue: '5'
language:
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month: '05'
oa: 1
oa_version: Published Version
page: 1604 - 1633
project:
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call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
publication: Algorithmica
publication_status: published
publisher: Springer
publist_id: '6957'
pubrep_id: '1014'
quality_controlled: '1'
scopus_import: '1'
status: public
title: How to escape local optima in black box optimisation when non elitism outperforms
elitism
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: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 80
year: '2018'
...
---
OA_place: publisher
_id: '26'
abstract:
- lang: eng
text: Expression of genes is a fundamental molecular phenotype that is subject to
evolution by different types of mutations. Both the rate and the effect of mutations
may depend on the DNA sequence context of a particular gene or a particular promoter
sequence. In this thesis I investigate the nature of this dependence using simple
genetic systems in Escherichia coli. With these systems I explore the evolution
of constitutive gene expression from random starting sequences at different loci
on the chromosome and at different locations in sequence space. First, I dissect
chromosomal neighborhood effects that underlie locus-dependent differences in
the potential of a gene under selection to become more highly expressed. Next,
I find that the effects of point mutations in promoter sequences are dependent
on sequence context, and that an existing energy matrix model performs poorly
in predicting relative expression of unrelated sequences. Finally, I show that
a substantial fraction of random sequences contain functional promoters and I
present an extended thermodynamic model that predicts promoter strength in full
sequence space. Taken together, these results provide new insights and guides
on how to integrate information on sequence context to improve our qualitative
and quantitative understanding of bacterial gene expression, with implications
for rapid evolution of drug resistance, de novo evolution of genes, and horizontal
gene transfer.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Magdalena
full_name: Steinrück, Magdalena
id: 2C023F40-F248-11E8-B48F-1D18A9856A87
last_name: Steinrück
orcid: 0000-0003-1229-9719
citation:
ama: Steinrück M. The influence of sequence context on the evolution of bacterial
gene expression. 2018. doi:10.15479/AT:ISTA:th1059
apa: Steinrück, M. (2018). The influence of sequence context on the evolution
of bacterial gene expression. Institute of Science and Technology Austria.
https://doi.org/10.15479/AT:ISTA:th1059
chicago: Steinrück, Magdalena. “The Influence of Sequence Context on the Evolution
of Bacterial Gene Expression.” Institute of Science and Technology Austria, 2018.
https://doi.org/10.15479/AT:ISTA:th1059.
ieee: M. Steinrück, “The influence of sequence context on the evolution of bacterial
gene expression,” Institute of Science and Technology Austria, 2018.
ista: Steinrück M. 2018. The influence of sequence context on the evolution of bacterial
gene expression. Institute of Science and Technology Austria.
mla: Steinrück, Magdalena. The Influence of Sequence Context on the Evolution
of Bacterial Gene Expression. Institute of Science and Technology Austria,
2018, doi:10.15479/AT:ISTA:th1059.
short: M. Steinrück, The Influence of Sequence Context on the Evolution of Bacterial
Gene Expression, Institute of Science and Technology Austria, 2018.
corr_author: '1'
date_created: 2018-12-11T11:44:14Z
date_published: 2018-10-30T00:00:00Z
date_updated: 2026-04-08T14:15:35Z
day: '30'
ddc:
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- '579'
degree_awarded: PhD
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content_type: application/pdf
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date_created: 2019-02-08T10:51:22Z
date_updated: 2021-02-11T11:17:14Z
embargo: 2019-11-02
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file_size: 7521973
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has_accepted_license: '1'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: '109'
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
publist_id: '8029'
pubrep_id: '1059'
related_material:
record:
- id: '704'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
title: The influence of sequence context on the evolution of bacterial gene expression
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2018'
...
---
_id: '67'
abstract:
- lang: eng
text: 'Gene regulatory networks evolve through rewiring of individual components—that
is, through changes in regulatory connections. However, the mechanistic basis
of regulatory rewiring is poorly understood. Using a canonical gene regulatory
system, we quantify the properties of transcription factors that determine the
evolutionary potential for rewiring of regulatory connections: robustness, tunability
and evolvability. In vivo repression measurements of two repressors at mutated
operator sites reveal their contrasting evolutionary potential: while robustness
and evolvability were positively correlated, both were in trade-off with tunability.
Epistatic interactions between adjacent operators alleviated this trade-off. A
thermodynamic model explains how the differences in robustness, tunability and
evolvability arise from biophysical characteristics of repressor–DNA binding.
The model also uncovers that the energy matrix, which describes how mutations
affect repressor–DNA binding, encodes crucial information about the evolutionary
potential of a repressor. The biophysical determinants of evolutionary potential
for regulatory rewiring constitute a mechanistic framework for understanding network
evolution.'
article_processing_charge: No
article_type: original
author:
- first_name: Claudia
full_name: Igler, Claudia
id: 46613666-F248-11E8-B48F-1D18A9856A87
last_name: Igler
orcid: 0000-0001-7777-546X
- first_name: Mato
full_name: Lagator, Mato
id: 345D25EC-F248-11E8-B48F-1D18A9856A87
last_name: Lagator
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
- first_name: Jonathan P
full_name: Bollback, Jonathan P
id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87
last_name: Bollback
orcid: 0000-0002-4624-4612
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Igler C, Lagator M, Tkačik G, Bollback JP, Guet CC. Evolutionary potential
of transcription factors for gene regulatory rewiring. Nature Ecology and Evolution.
2018;2(10):1633-1643. doi:10.1038/s41559-018-0651-y
apa: Igler, C., Lagator, M., Tkačik, G., Bollback, J. P., & Guet, C. C. (2018).
Evolutionary potential of transcription factors for gene regulatory rewiring.
Nature Ecology and Evolution. Nature Publishing Group. https://doi.org/10.1038/s41559-018-0651-y
chicago: Igler, Claudia, Mato Lagator, Gašper Tkačik, Jonathan P Bollback, and Calin
C Guet. “Evolutionary Potential of Transcription Factors for Gene Regulatory Rewiring.”
Nature Ecology and Evolution. Nature Publishing Group, 2018. https://doi.org/10.1038/s41559-018-0651-y.
ieee: C. Igler, M. Lagator, G. Tkačik, J. P. Bollback, and C. C. Guet, “Evolutionary
potential of transcription factors for gene regulatory rewiring,” Nature Ecology
and Evolution, vol. 2, no. 10. Nature Publishing Group, pp. 1633–1643, 2018.
ista: Igler C, Lagator M, Tkačik G, Bollback JP, Guet CC. 2018. Evolutionary potential
of transcription factors for gene regulatory rewiring. Nature Ecology and Evolution.
2(10), 1633–1643.
mla: Igler, Claudia, et al. “Evolutionary Potential of Transcription Factors for
Gene Regulatory Rewiring.” Nature Ecology and Evolution, vol. 2, no. 10,
Nature Publishing Group, 2018, pp. 1633–43, doi:10.1038/s41559-018-0651-y.
short: C. Igler, M. Lagator, G. Tkačik, J.P. Bollback, C.C. Guet, Nature Ecology
and Evolution 2 (2018) 1633–1643.
date_created: 2018-12-11T11:44:27Z
date_published: 2018-09-10T00:00:00Z
date_updated: 2026-11-02T23:30:29Z
day: '10'
ddc:
- '570'
department:
- _id: CaGu
- _id: GaTk
- _id: JoBo
doi: 10.1038/s41559-018-0651-y
ec_funded: 1
external_id:
isi:
- '000447947600021'
file:
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checksum: 383a2e2c944a856e2e821ec8e7bf71b6
content_type: application/pdf
creator: dernst
date_created: 2020-05-14T11:28:52Z
date_updated: 2020-07-14T12:47:37Z
file_id: '7830'
file_name: 2018_NatureEcology_Igler.pdf
file_size: 1135973
relation: main_file
file_date_updated: 2020-07-14T12:47:37Z
fulldoi: https://doi.org/10.1038/s41559-018-0651-y
has_accepted_license: '1'
intvolume: ' 2'
isi: 1
issue: '10'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Submitted Version
page: 1633 - 1643
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 2578D616-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '648440'
name: Selective Barriers to Horizontal Gene Transfer
- _id: 251EE76E-B435-11E9-9278-68D0E5697425
grant_number: '24573'
name: Design principles underlying genetic switch architecture
publication: Nature Ecology and Evolution
publication_status: published
publisher: Nature Publishing Group
publist_id: '7987'
quality_controlled: '1'
related_material:
record:
- id: '5585'
relation: popular_science
status: public
- id: '6371'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Evolutionary potential of transcription factors for gene regulatory rewiring
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 2
year: '2018'
...
---
_id: '5585'
abstract:
- lang: eng
text: Mean repression values and standard error of the mean are given for all operator
mutant libraries.
article_processing_charge: No
author:
- first_name: Claudia
full_name: Igler, Claudia
id: 46613666-F248-11E8-B48F-1D18A9856A87
last_name: Igler
orcid: 0000-0001-7777-546X
- first_name: Mato
full_name: Lagator, Mato
id: 345D25EC-F248-11E8-B48F-1D18A9856A87
last_name: Lagator
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
- first_name: Jonathan P
full_name: Bollback, Jonathan P
id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87
last_name: Bollback
orcid: 0000-0002-4624-4612
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Igler C, Lagator M, Tkačik G, Bollback JP, Guet CC. Data for the paper Evolutionary
potential of transcription factors for gene regulatory rewiring. 2018. doi:10.15479/AT:ISTA:108
apa: Igler, C., Lagator, M., Tkačik, G., Bollback, J. P., & Guet, C. C. (2018).
Data for the paper Evolutionary potential of transcription factors for gene regulatory
rewiring. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:108
chicago: Igler, Claudia, Mato Lagator, Gašper Tkačik, Jonathan P Bollback, and Calin
C Guet. “Data for the Paper Evolutionary Potential of Transcription Factors for
Gene Regulatory Rewiring.” Institute of Science and Technology Austria, 2018.
https://doi.org/10.15479/AT:ISTA:108.
ieee: C. Igler, M. Lagator, G. Tkačik, J. P. Bollback, and C. C. Guet, “Data for
the paper Evolutionary potential of transcription factors for gene regulatory
rewiring.” Institute of Science and Technology Austria, 2018.
ista: Igler C, Lagator M, Tkačik G, Bollback JP, Guet CC. 2018. Data for the paper
Evolutionary potential of transcription factors for gene regulatory rewiring,
Institute of Science and Technology Austria, 10.15479/AT:ISTA:108.
mla: Igler, Claudia, et al. Data for the Paper Evolutionary Potential of Transcription
Factors for Gene Regulatory Rewiring. Institute of Science and Technology
Austria, 2018, doi:10.15479/AT:ISTA:108.
short: C. Igler, M. Lagator, G. Tkačik, J.P. Bollback, C.C. Guet, (2018).
datarep_id: '108'
date_created: 2018-12-12T12:31:40Z
date_published: 2018-07-20T00:00:00Z
date_updated: 2026-11-02T23:30:29Z
day: '20'
ddc:
- '576'
department:
- _id: CaGu
- _id: GaTk
doi: 10.15479/AT:ISTA:108
ec_funded: 1
file:
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checksum: 1435781526c77413802adee0d4583cce
content_type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
creator: system
date_created: 2018-12-12T13:02:45Z
date_updated: 2020-07-14T12:47:07Z
file_id: '5611'
file_name: IST-2018-108-v1+1_data_figures.xlsx
file_size: 16507
relation: main_file
file_date_updated: 2020-07-14T12:47:07Z
fulldoi: https://doi.org/10.15479/AT:ISTA:108
has_accepted_license: '1'
license: https://creativecommons.org/publicdomain/zero/1.0/
month: '07'
oa: 1
oa_version: Published Version
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 2578D616-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '648440'
name: Selective Barriers to Horizontal Gene Transfer
- _id: 251EE76E-B435-11E9-9278-68D0E5697425
grant_number: '24573'
name: Design principles underlying genetic switch architecture
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '67'
relation: research_paper
status: public
- id: '6371'
relation: research_paper
status: public
status: public
title: Data for the paper Evolutionary potential of transcription factors for gene
regulatory rewiring
tmp:
image: /images/cc_0.png
legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode
name: Creative Commons Public Domain Dedication (CC0 1.0)
short: CC0 (1.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2018'
...
---
_id: '1084'
abstract:
- lang: eng
text: 'BceRS and PsdRS are paralogous two-component systems in Bacillus subtilis
controlling the response to antimicrobial peptides. In the presence of extracellular
bacitracin and nisin, respectively, the two response regulators (RRs) bind their
target promoters, PbceA or PpsdA, resulting in a strong up-regulation of target
gene expression and ultimately antibiotic resistance. Despite high sequence similarity
between the RRs BceR and PsdR and their known binding sites, no cross-regulation
has been observed between them. We therefore investigated the specificity determinants
of PbceA and PpsdA that ensure the insulation of these two paralogous pathways
at the RR–promoter interface. In vivo and in vitro analyses demonstrate that the
regulatory regions within these two promoters contain three important elements:
in addition to the known (main) binding site, we identified a linker region and
a secondary binding site that are crucial for functionality. Initial binding to
the high-affinity, low-specificity main binding site is a prerequisite for the
subsequent highly specific binding of a second RR dimer to the low-affinity secondary
binding site. In addition to this hierarchical cooperative binding, discrimination
requires a competition of the two RRs for their respective binding site mediated
by only slight differences in binding affinities.'
article_processing_charge: No
author:
- first_name: Chong
full_name: Fang, Chong
last_name: Fang
- first_name: Anna A
full_name: Nagy-Staron, Anna A
id: 3ABC5BA6-F248-11E8-B48F-1D18A9856A87
last_name: Nagy-Staron
orcid: 0000-0002-1391-8377
- first_name: Martin
full_name: Grafe, Martin
last_name: Grafe
- first_name: Ralf
full_name: Heermann, Ralf
last_name: Heermann
- first_name: Kirsten
full_name: Jung, Kirsten
last_name: Jung
- first_name: Susanne
full_name: Gebhard, Susanne
last_name: Gebhard
- first_name: Thorsten
full_name: Mascher, Thorsten
last_name: Mascher
citation:
ama: Fang C, Nagy-Staron AA, Grafe M, et al. Insulation and wiring specificity of
BceR like response regulators and their target promoters in Bacillus subtilis.
Molecular Microbiology. 2017;104(1):16-31. doi:10.1111/mmi.13597
apa: Fang, C., Nagy-Staron, A. A., Grafe, M., Heermann, R., Jung, K., Gebhard, S.,
& Mascher, T. (2017). Insulation and wiring specificity of BceR like response
regulators and their target promoters in Bacillus subtilis. Molecular Microbiology.
Wiley-Blackwell. https://doi.org/10.1111/mmi.13597
chicago: Fang, Chong, Anna A Nagy-Staron, Martin Grafe, Ralf Heermann, Kirsten Jung,
Susanne Gebhard, and Thorsten Mascher. “Insulation and Wiring Specificity of BceR
like Response Regulators and Their Target Promoters in Bacillus Subtilis.” Molecular
Microbiology. Wiley-Blackwell, 2017. https://doi.org/10.1111/mmi.13597.
ieee: C. Fang et al., “Insulation and wiring specificity of BceR like response
regulators and their target promoters in Bacillus subtilis,” Molecular Microbiology,
vol. 104, no. 1. Wiley-Blackwell, pp. 16–31, 2017.
ista: Fang C, Nagy-Staron AA, Grafe M, Heermann R, Jung K, Gebhard S, Mascher T.
2017. Insulation and wiring specificity of BceR like response regulators and their
target promoters in Bacillus subtilis. Molecular Microbiology. 104(1), 16–31.
mla: Fang, Chong, et al. “Insulation and Wiring Specificity of BceR like Response
Regulators and Their Target Promoters in Bacillus Subtilis.” Molecular Microbiology,
vol. 104, no. 1, Wiley-Blackwell, 2017, pp. 16–31, doi:10.1111/mmi.13597.
short: C. Fang, A.A. Nagy-Staron, M. Grafe, R. Heermann, K. Jung, S. Gebhard, T.
Mascher, Molecular Microbiology 104 (2017) 16–31.
date_created: 2018-12-11T11:50:03Z
date_published: 2017-04-01T00:00:00Z
date_updated: 2026-04-16T09:56:09Z
day: '01'
department:
- _id: CaGu
doi: 10.1111/mmi.13597
external_id:
isi:
- '000398059200002'
fulldoi: https://doi.org/10.1111/mmi.13597
intvolume: ' 104'
isi: 1
issue: '1'
language:
- iso: eng
month: '04'
oa_version: None
page: 16 - 31
publication: Molecular Microbiology
publication_identifier:
issn:
- ' 0950-382X'
publication_status: published
publisher: Wiley-Blackwell
publist_id: '6294'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Insulation and wiring specificity of BceR like response regulators and their
target promoters in Bacillus subtilis
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 104
year: '2017'
...
---
_id: '1336'
abstract:
- lang: eng
text: Evolutionary algorithms (EAs) form a popular optimisation paradigm inspired
by natural evolution. In recent years the field of evolutionary computation has
developed a rigorous analytical theory to analyse the runtimes of EAs on many
illustrative problems. Here we apply this theory to a simple model of natural
evolution. In the Strong Selection Weak Mutation (SSWM) evolutionary regime the
time between occurrences of new mutations is much longer than the time it takes
for a mutated genotype to take over the population. In this situation, the population
only contains copies of one genotype and evolution can be modelled as a stochastic
process evolving one genotype by means of mutation and selection between the resident
and the mutated genotype. The probability of accepting the mutated genotype then
depends on the change in fitness. We study this process, SSWM, from an algorithmic
perspective, quantifying its expected optimisation time for various parameters
and investigating differences to a similar evolutionary algorithm, the well-known
(1+1) EA. We show that SSWM can have a moderate advantage over the (1+1) EA at
crossing fitness valleys and study an example where SSWM outperforms the (1+1)
EA by taking advantage of information on the fitness gradient.
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: Jorge
full_name: Pérez Heredia, Jorge
last_name: Pérez Heredia
- first_name: Dirk
full_name: Sudholt, Dirk
last_name: Sudholt
- 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, Pérez Heredia J, Sudholt D, Trubenova B. Towards a runtime comparison
of natural and artificial evolution. Algorithmica. 2017;78(2):681-713.
doi:10.1007/s00453-016-0212-1
apa: Paixao, T., Pérez Heredia, J., Sudholt, D., & Trubenova, B. (2017). Towards
a runtime comparison of natural and artificial evolution. Algorithmica.
Springer. https://doi.org/10.1007/s00453-016-0212-1
chicago: Paixao, Tiago, Jorge Pérez Heredia, Dirk Sudholt, and Barbora Trubenova.
“Towards a Runtime Comparison of Natural and Artificial Evolution.” Algorithmica.
Springer, 2017. https://doi.org/10.1007/s00453-016-0212-1.
ieee: T. Paixao, J. Pérez Heredia, D. Sudholt, and B. Trubenova, “Towards a runtime
comparison of natural and artificial evolution,” Algorithmica, vol. 78,
no. 2. Springer, pp. 681–713, 2017.
ista: Paixao T, Pérez Heredia J, Sudholt D, Trubenova B. 2017. Towards a runtime
comparison of natural and artificial evolution. Algorithmica. 78(2), 681–713.
mla: Paixao, Tiago, et al. “Towards a Runtime Comparison of Natural and Artificial
Evolution.” Algorithmica, vol. 78, no. 2, Springer, 2017, pp. 681–713,
doi:10.1007/s00453-016-0212-1.
short: T. Paixao, J. Pérez Heredia, D. Sudholt, B. Trubenova, Algorithmica 78 (2017)
681–713.
date_created: 2018-12-11T11:51:27Z
date_published: 2017-06-01T00:00:00Z
date_updated: 2026-04-16T09:55:33Z
day: '01'
ddc:
- '576'
department:
- _id: NiBa
- _id: CaGu
doi: 10.1007/s00453-016-0212-1
ec_funded: 1
external_id:
isi:
- '000400379500013'
file:
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checksum: 7873f665a0c598ac747c908f34cb14b9
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:10:19Z
date_updated: 2020-07-14T12:44:44Z
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issue: '2'
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month: '06'
oa: 1
oa_version: Published Version
page: 681 - 713
project:
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call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
publication: Algorithmica
publication_identifier:
issn:
- 0178-4617
publication_status: published
publisher: Springer
publist_id: '5931'
pubrep_id: '658'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Towards a runtime comparison of natural and artificial 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: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 78
year: '2017'
...
---
_id: '1351'
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 logic.
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.
article_processing_charge: No
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
the evolution of gene regulatory networks. Acta Informatica. 2017;54(8):765-787.
doi:10.1007/s00236-016-0278-x
apa: Giacobbe, M., Guet, C. C., Gupta, A., Henzinger, T. A., Paixao, T., & Petrov,
T. (2017). Model checking the evolution of gene regulatory networks. Acta Informatica.
Springer. https://doi.org/10.1007/s00236-016-0278-x
chicago: Giacobbe, Mirco, Calin C Guet, Ashutosh Gupta, Thomas A Henzinger, Tiago
Paixao, and Tatjana Petrov. “Model Checking the Evolution of Gene Regulatory Networks.”
Acta Informatica. Springer, 2017. https://doi.org/10.1007/s00236-016-0278-x.
ieee: M. Giacobbe, C. C. Guet, A. Gupta, T. A. Henzinger, T. Paixao, and T. Petrov,
“Model checking the evolution of gene regulatory networks,” Acta Informatica,
vol. 54, no. 8. Springer, pp. 765–787, 2017.
ista: Giacobbe M, Guet CC, Gupta A, Henzinger TA, Paixao T, Petrov T. 2017. Model
checking the evolution of gene regulatory networks. Acta Informatica. 54(8), 765–787.
mla: Giacobbe, Mirco, et al. “Model Checking the Evolution of Gene Regulatory Networks.”
Acta Informatica, vol. 54, no. 8, Springer, 2017, pp. 765–87, doi:10.1007/s00236-016-0278-x.
short: M. Giacobbe, C.C. Guet, A. Gupta, T.A. Henzinger, T. Paixao, T. Petrov, Acta
Informatica 54 (2017) 765–787.
corr_author: '1'
date_created: 2018-12-11T11:51:32Z
date_published: 2017-12-01T00:00:00Z
date_updated: 2025-07-10T11:50:42Z
day: '01'
ddc:
- '006'
- '576'
department:
- _id: ToHe
- _id: CaGu
- _id: NiBa
doi: 10.1007/s00236-016-0278-x
ec_funded: 1
external_id:
isi:
- '000414343200003'
file:
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checksum: 4e661d9135d7f8c342e8e258dee76f3e
content_type: application/pdf
creator: dernst
date_created: 2019-01-17T15:57:29Z
date_updated: 2020-07-14T12:44:46Z
file_id: '5841'
file_name: 2017_ActaInformatica_Giacobbe.pdf
file_size: 755241
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has_accepted_license: '1'
intvolume: ' 54'
isi: 1
issue: '8'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
page: 765 - 787
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: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Acta Informatica
publication_identifier:
issn:
- 0001-5903
publication_status: published
publisher: Springer
publist_id: '5898'
pubrep_id: '649'
quality_controlled: '1'
related_material:
record:
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relation: earlier_version
status: public
scopus_import: '1'
status: public
title: Model checking the evolution of gene regulatory networks
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: 54
year: '2017'
...
---
_id: '538'
abstract:
- lang: ger
text: 'Optogenetik und Photopharmakologie ermöglichen präzise räumliche und zeitliche
Kontrolle von Proteinwechselwirkung und -funktion in Zellen und Tieren. Optogenetische
Methoden, die auf grünes Licht ansprechen und zum Trennen von Proteinkomplexen
geeignet sind, sind nichtweitläufig verfügbar, würden jedoch mehrfarbige Experimente
zur Beantwortung von biologischen Fragestellungen ermöglichen. Hier demonstrieren
wir die Verwendung von Cobalamin(Vitamin B12)-bindenden Domänen von bakteriellen
CarH-Transkriptionsfaktoren zur Grünlicht-induzierten Dissoziation von Rezeptoren.
Fusioniert mit dem Fibroblasten-W achstumsfaktor-Rezeptor 1 führten diese im Dunkeln
in kultivierten Zellen zu Signalaktivität durch Oligomerisierung, welche durch
Beleuchten umgehend aufgehoben wurde. In Zebrafischembryonen, die einen derartigen
Rezeptor exprimieren, ermöglichte grünes Licht die Kontrolle über abnormale Signalaktivität
während der Embryonalentwicklung. '
author:
- first_name: Stephanie
full_name: Kainrath, Stephanie
id: 32CFBA64-F248-11E8-B48F-1D18A9856A87
last_name: Kainrath
- first_name: Manuela
full_name: Stadler, Manuela
last_name: Stadler
- first_name: Eva
full_name: Gschaider-Reichhart, Eva
id: 3FEE232A-F248-11E8-B48F-1D18A9856A87
last_name: Gschaider-Reichhart
orcid: 0000-0002-7218-7738
- first_name: Martin
full_name: Distel, Martin
last_name: Distel
- first_name: Harald L
full_name: Janovjak, Harald L
id: 33BA6C30-F248-11E8-B48F-1D18A9856A87
last_name: Janovjak
orcid: 0000-0002-8023-9315
citation:
ama: Kainrath S, Stadler M, Gschaider-Reichhart E, Distel M, Janovjak HL. Grünlicht-induzierte
Rezeptorinaktivierung durch Cobalamin-bindende Domänen. Angewandte Chemie.
2017;129(16):4679-4682. doi:10.1002/ange.201611998
apa: Kainrath, S., Stadler, M., Gschaider-Reichhart, E., Distel, M., & Janovjak,
H. L. (2017). Grünlicht-induzierte Rezeptorinaktivierung durch Cobalamin-bindende
Domänen. Angewandte Chemie. Wiley. https://doi.org/10.1002/ange.201611998
chicago: Kainrath, Stephanie, Manuela Stadler, Eva Gschaider-Reichhart, Martin Distel,
and Harald L Janovjak. “Grünlicht-Induzierte Rezeptorinaktivierung Durch Cobalamin-Bindende
Domänen.” Angewandte Chemie. Wiley, 2017. https://doi.org/10.1002/ange.201611998.
ieee: S. Kainrath, M. Stadler, E. Gschaider-Reichhart, M. Distel, and H. L. Janovjak,
“Grünlicht-induzierte Rezeptorinaktivierung durch Cobalamin-bindende Domänen,”
Angewandte Chemie, vol. 129, no. 16. Wiley, pp. 4679–4682, 2017.
ista: Kainrath S, Stadler M, Gschaider-Reichhart E, Distel M, Janovjak HL. 2017.
Grünlicht-induzierte Rezeptorinaktivierung durch Cobalamin-bindende Domänen. Angewandte
Chemie. 129(16), 4679–4682.
mla: Kainrath, Stephanie, et al. “Grünlicht-Induzierte Rezeptorinaktivierung Durch
Cobalamin-Bindende Domänen.” Angewandte Chemie, vol. 129, no. 16, Wiley,
2017, pp. 4679–82, doi:10.1002/ange.201611998.
short: S. Kainrath, M. Stadler, E. Gschaider-Reichhart, M. Distel, H.L. Janovjak,
Angewandte Chemie 129 (2017) 4679–4682.
corr_author: '1'
date_created: 2018-12-11T11:47:02Z
date_published: 2017-05-20T00:00:00Z
date_updated: 2024-10-09T20:58:07Z
day: '20'
ddc:
- '571'
department:
- _id: CaGu
- _id: HaJa
doi: 10.1002/ange.201611998
ec_funded: 1
file:
- access_level: open_access
checksum: d66fee867e7cdbfa3fe276c2fb0778bb
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:13:24Z
date_updated: 2020-07-14T12:46:39Z
file_id: '5007'
file_name: IST-2018-932-v1+1_Kainrath_et_al-2017-Angewandte_Chemie.pdf
file_size: 1668557
relation: main_file
file_date_updated: 2020-07-14T12:46:39Z
fulldoi: https://doi.org/10.1002/ange.201611998
has_accepted_license: '1'
intvolume: ' 129'
issue: '16'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: 4679 - 4682
project:
- _id: 25548C20-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '303564'
name: Microbial Ion Channels for Synthetic Neurobiology
- _id: 255A6082-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: W1232-B24
name: Molecular Drug Targets
publication: Angewandte Chemie
publication_status: published
publisher: Wiley
publist_id: '7279'
pubrep_id: '932'
quality_controlled: '1'
status: public
title: Grünlicht-induzierte Rezeptorinaktivierung durch Cobalamin-bindende Domänen
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: 129
year: '2017'
...
---
_id: '541'
abstract:
- lang: eng
text: 'While we have good understanding of bacterial metabolism at the population
level, we know little about the metabolic behavior of individual cells: do single
cells in clonal populations sometimes specialize on different metabolic pathways?
Such metabolic specialization could be driven by stochastic gene expression and
could provide individual cells with growth benefits of specialization. We measured
the degree of phenotypic specialization in two parallel metabolic pathways, the
assimilation of glucose and arabinose. We grew Escherichia coli in chemostats,
and used isotope-labeled sugars in combination with nanometer-scale secondary
ion mass spectrometry and mathematical modeling to quantify sugar assimilation
at the single-cell level. We found large variation in metabolic activities between
single cells, both in absolute assimilation and in the degree to which individual
cells specialize in the assimilation of different sugars. Analysis of transcriptional
reporters indicated that this variation was at least partially based on cell-to-cell
variation in gene expression. Metabolic differences between cells in clonal populations
could potentially reduce metabolic incompatibilities between different pathways,
and increase the rate at which parallel reactions can be performed.'
article_number: e1007122
article_processing_charge: No
author:
- first_name: Nela
full_name: Nikolic, Nela
id: 42D9CABC-F248-11E8-B48F-1D18A9856A87
last_name: Nikolic
orcid: 0000-0001-9068-6090
- first_name: Frank
full_name: Schreiber, Frank
last_name: Schreiber
- first_name: Alma
full_name: Dal Co, Alma
last_name: Dal Co
- first_name: Daniel
full_name: Kiviet, Daniel
last_name: Kiviet
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Sten
full_name: Littmann, Sten
last_name: Littmann
- first_name: Marcel
full_name: Kuypers, Marcel
last_name: Kuypers
- first_name: Martin
full_name: Ackermann, Martin
last_name: Ackermann
citation:
ama: Nikolic N, Schreiber F, Dal Co A, et al. Cell-to-cell variation and specialization
in sugar metabolism in clonal bacterial populations. PLoS Genetics. 2017;13(12).
doi:10.1371/journal.pgen.1007122
apa: Nikolic, N., Schreiber, F., Dal Co, A., Kiviet, D., Bergmiller, T., Littmann,
S., … Ackermann, M. (2017). Cell-to-cell variation and specialization in sugar
metabolism in clonal bacterial populations. PLoS Genetics. Public Library
of Science. https://doi.org/10.1371/journal.pgen.1007122
chicago: Nikolic, Nela, Frank Schreiber, Alma Dal Co, Daniel Kiviet, Tobias Bergmiller,
Sten Littmann, Marcel Kuypers, and Martin Ackermann. “Cell-to-Cell Variation and
Specialization in Sugar Metabolism in Clonal Bacterial Populations.” PLoS Genetics.
Public Library of Science, 2017. https://doi.org/10.1371/journal.pgen.1007122.
ieee: N. Nikolic et al., “Cell-to-cell variation and specialization in sugar
metabolism in clonal bacterial populations,” PLoS Genetics, vol. 13, no.
12. Public Library of Science, 2017.
ista: Nikolic N, Schreiber F, Dal Co A, Kiviet D, Bergmiller T, Littmann S, Kuypers
M, Ackermann M. 2017. Cell-to-cell variation and specialization in sugar metabolism
in clonal bacterial populations. PLoS Genetics. 13(12), e1007122.
mla: Nikolic, Nela, et al. “Cell-to-Cell Variation and Specialization in Sugar Metabolism
in Clonal Bacterial Populations.” PLoS Genetics, vol. 13, no. 12, e1007122,
Public Library of Science, 2017, doi:10.1371/journal.pgen.1007122.
short: N. Nikolic, F. Schreiber, A. Dal Co, D. Kiviet, T. Bergmiller, S. Littmann,
M. Kuypers, M. Ackermann, PLoS Genetics 13 (2017).
corr_author: '1'
date_created: 2018-12-11T11:47:04Z
date_published: 2017-12-18T00:00:00Z
date_updated: 2025-09-18T09:42:09Z
day: '18'
ddc:
- '576'
- '579'
department:
- _id: CaGu
doi: 10.1371/journal.pgen.1007122
ec_funded: 1
external_id:
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- '000419103000015'
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content_type: application/pdf
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date_created: 2018-12-12T10:14:35Z
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file_id: '5088'
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file_size: 1308475
relation: main_file
file_date_updated: 2020-07-14T12:46:46Z
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intvolume: ' 13'
isi: 1
issue: '12'
language:
- iso: eng
month: '12'
oa: 1
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project:
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grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: PLoS Genetics
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issn:
- 1553-7390
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publisher: Public Library of Science
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title: Cell-to-cell variation and specialization in sugar metabolism in clonal bacterial
populations
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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: 13
year: '2017'
...
---
_id: '5560'
abstract:
- lang: eng
text: "This repository contains the data collected for the manuscript \"Biased partitioning
of the multi-drug efflux pump AcrAB-TolC underlies long-lived phenotypic heterogeneity\".\r\nThe
data is compressed into a single archive. Within the archive, different folders
correspond to figures of the main text and the SI of the related publication.\r\nData
is saved as plain text, with each folder containing a separate readme file describing
the format. Typically, the data is from fluorescence microscopy measurements of
single cells growing in a microfluidic \"mother machine\" device, and consists
of relevant values (primarily arbitrary unit or normalized fluorescence measurements,
and division times / growth rates) after raw microscopy images have been processed,
segmented, and their features extracted, as described in the methods section of
the related publication."
article_processing_charge: No
author:
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Anna M
full_name: Andersson, Anna M
id: 2B8A40DA-F248-11E8-B48F-1D18A9856A87
last_name: Andersson
orcid: 0000-0003-2912-6769
- first_name: Kathrin
full_name: Tomasek, Kathrin
id: 3AEC8556-F248-11E8-B48F-1D18A9856A87
last_name: Tomasek
orcid: 0000-0003-3768-877X
- first_name: Enrique
full_name: Balleza, Enrique
last_name: Balleza
- first_name: Daniel
full_name: Kiviet, Daniel
last_name: Kiviet
- first_name: Robert
full_name: Hauschild, Robert
id: 4E01D6B4-F248-11E8-B48F-1D18A9856A87
last_name: Hauschild
orcid: 0000-0001-9843-3522
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Bergmiller T, Andersson AM, Tomasek K, et al. Biased partitioning of the multi-drug
efflux pump AcrAB-TolC underlies long-lived phenotypic heterogeneity. 2017. doi:10.15479/AT:ISTA:53
apa: Bergmiller, T., Andersson, A. M., Tomasek, K., Balleza, E., Kiviet, D., Hauschild,
R., … Guet, C. C. (2017). Biased partitioning of the multi-drug efflux pump AcrAB-TolC
underlies long-lived phenotypic heterogeneity. Institute of Science and Technology
Austria. https://doi.org/10.15479/AT:ISTA:53
chicago: Bergmiller, Tobias, Anna M Andersson, Kathrin Tomasek, Enrique Balleza,
Daniel Kiviet, Robert Hauschild, Gašper Tkačik, and Calin C Guet. “Biased Partitioning
of the Multi-Drug Efflux Pump AcrAB-TolC Underlies Long-Lived Phenotypic Heterogeneity.”
Institute of Science and Technology Austria, 2017. https://doi.org/10.15479/AT:ISTA:53.
ieee: T. Bergmiller et al., “Biased partitioning of the multi-drug efflux
pump AcrAB-TolC underlies long-lived phenotypic heterogeneity.” Institute of Science
and Technology Austria, 2017.
ista: Bergmiller T, Andersson AM, Tomasek K, Balleza E, Kiviet D, Hauschild R, Tkačik
G, Guet CC. 2017. Biased partitioning of the multi-drug efflux pump AcrAB-TolC
underlies long-lived phenotypic heterogeneity, Institute of Science and Technology
Austria, 10.15479/AT:ISTA:53.
mla: Bergmiller, Tobias, et al. Biased Partitioning of the Multi-Drug Efflux
Pump AcrAB-TolC Underlies Long-Lived Phenotypic Heterogeneity. Institute of
Science and Technology Austria, 2017, doi:10.15479/AT:ISTA:53.
short: T. Bergmiller, A.M. Andersson, K. Tomasek, E. Balleza, D. Kiviet, R. Hauschild,
G. Tkačik, C.C. Guet, (2017).
datarep_id: '53'
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date_published: 2017-03-10T00:00:00Z
date_updated: 2025-09-11T07:05:03Z
day: '10'
ddc:
- '571'
department:
- _id: CaGu
- _id: GaTk
- _id: Bio
doi: 10.15479/AT:ISTA:53
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file_size: 6773204
relation: main_file
file_date_updated: 2020-07-14T12:47:03Z
fulldoi: https://doi.org/10.15479/AT:ISTA:53
has_accepted_license: '1'
keyword:
- single cell microscopy
- mother machine microfluidic device
- AcrAB-TolC pump
- multi-drug efflux
- Escherichia coli
month: '03'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '665'
relation: research_paper
status: public
status: public
title: Biased partitioning of the multi-drug efflux pump AcrAB-TolC underlies long-lived
phenotypic heterogeneity
tmp:
image: /images/cc_0.png
legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode
name: Creative Commons Public Domain Dedication (CC0 1.0)
short: CC0 (1.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2017'
...
---
_id: '5564'
abstract:
- lang: eng
text: Compressed Fastq files with whole-genome sequencing data of IS-wt strain D
and clones from four evolved populations (A11, C08, C10, D08). Information on
this data collection is available in the Methods Section of the primary publication.
article_processing_charge: No
author:
- first_name: Magdalena
full_name: Steinrück, Magdalena
id: 2C023F40-F248-11E8-B48F-1D18A9856A87
last_name: Steinrück
orcid: 0000-0003-1229-9719
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Steinrück M, Guet CC. Fastq files for “Complex chromosomal neighborhood effects
determine the adaptive potential of a gene under selection.” 2017. doi:10.15479/AT:ISTA:65
apa: Steinrück, M., & Guet, C. C. (2017). Fastq files for “Complex chromosomal
neighborhood effects determine the adaptive potential of a gene under selection.”
Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:65
chicago: Steinrück, Magdalena, and Calin C Guet. “Fastq Files for ‘Complex Chromosomal
Neighborhood Effects Determine the Adaptive Potential of a Gene under Selection.’”
Institute of Science and Technology Austria, 2017. https://doi.org/10.15479/AT:ISTA:65.
ieee: M. Steinrück and C. C. Guet, “Fastq files for ‘Complex chromosomal neighborhood
effects determine the adaptive potential of a gene under selection.’” Institute
of Science and Technology Austria, 2017.
ista: Steinrück M, Guet CC. 2017. Fastq files for ‘Complex chromosomal neighborhood
effects determine the adaptive potential of a gene under selection’, Institute
of Science and Technology Austria, 10.15479/AT:ISTA:65.
mla: Steinrück, Magdalena, and Calin C. Guet. Fastq Files for “Complex Chromosomal
Neighborhood Effects Determine the Adaptive Potential of a Gene under Selection.”
Institute of Science and Technology Austria, 2017, doi:10.15479/AT:ISTA:65.
short: M. Steinrück, C.C. Guet, (2017).
datarep_id: '65'
date_created: 2018-12-12T12:31:33Z
date_published: 2017-04-11T00:00:00Z
date_updated: 2025-09-10T11:06:52Z
day: '11'
ddc:
- '576'
department:
- _id: CaGu
doi: 10.15479/AT:ISTA:65
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date_updated: 2020-07-14T12:47:03Z
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has_accepted_license: '1'
month: '04'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '704'
relation: research_paper
status: public
status: public
title: Fastq files for "Complex chromosomal neighborhood effects determine the adaptive
potential of a gene under selection"
tmp:
image: /images/cc_0.png
legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode
name: Creative Commons Public Domain Dedication (CC0 1.0)
short: CC0 (1.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2017'
...
---
_id: '561'
abstract:
- lang: eng
text: Restriction–modification systems are widespread genetic elements that protect
bacteria from bacteriophage infections by recognizing and cleaving heterologous
DNA at short, well-defined sequences called restriction sites. Bioinformatic evidence
shows that restriction sites are significantly underrepresented in bacteriophage
genomes, presumably because bacteriophages with fewer restriction sites are more
likely to escape cleavage by restriction–modification systems. However, how mutations
in restriction sites affect the likelihood of bacteriophage escape is unknown.
Using the bacteriophage l and the restriction–modification system EcoRI, we show
that while mutation effects at different restriction sites are unequal, they are
independent. As a result, the probability of bacteriophage escape increases with
each mutated restriction site. Our results experimentally support the role of
restriction site avoidance as a response to selection imposed by restriction–modification
systems and offer an insight into the events underlying the process of bacteriophage
escape.
acknowledgement: This work was funded by an HFSP Young Investigators' grant RGY0079/2011
(C.C.G.). M.P. is a recipient of a DOC Fellowship of the Austrian Academy of Science
at the Institute of Science and Technology Austria.
article_number: '20170646'
article_processing_charge: No
article_type: original
author:
- first_name: Maros
full_name: Pleska, Maros
id: 4569785E-F248-11E8-B48F-1D18A9856A87
last_name: Pleska
orcid: 0000-0001-7460-7479
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Pleska M, Guet CC. Effects of mutations in phage restriction sites during escape
from restriction–modification. Biology Letters. 2017;13(12). doi:10.1098/rsbl.2017.0646
apa: Pleska, M., & Guet, C. C. (2017). Effects of mutations in phage restriction
sites during escape from restriction–modification. Biology Letters. The
Royal Society. https://doi.org/10.1098/rsbl.2017.0646
chicago: Pleska, Maros, and Calin C Guet. “Effects of Mutations in Phage Restriction
Sites during Escape from Restriction–Modification.” Biology Letters. The
Royal Society, 2017. https://doi.org/10.1098/rsbl.2017.0646.
ieee: M. Pleska and C. C. Guet, “Effects of mutations in phage restriction sites
during escape from restriction–modification,” Biology Letters, vol. 13,
no. 12. The Royal Society, 2017.
ista: Pleska M, Guet CC. 2017. Effects of mutations in phage restriction sites during
escape from restriction–modification. Biology Letters. 13(12), 20170646.
mla: Pleska, Maros, and Calin C. Guet. “Effects of Mutations in Phage Restriction
Sites during Escape from Restriction–Modification.” Biology Letters, vol.
13, no. 12, 20170646, The Royal Society, 2017, doi:10.1098/rsbl.2017.0646.
short: M. Pleska, C.C. Guet, Biology Letters 13 (2017).
corr_author: '1'
date_created: 2018-12-11T11:47:11Z
date_published: 2017-12-01T00:00:00Z
date_updated: 2026-06-18T18:54:20Z
day: '01'
ddc:
- '570'
department:
- _id: CaGu
doi: 10.1098/rsbl.2017.0646
external_id:
isi:
- '000418695400012'
pmid:
- '29237814'
fulldoi: https://doi.org/10.1098/rsbl.2017.0646
intvolume: ' 13'
isi: 1
issue: '12'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1098/rsbl.2017.0646
month: '12'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 251BCBEC-B435-11E9-9278-68D0E5697425
grant_number: RGY0079/2011
name: Multi-Level Conflicts in Evolutionary Dynamics of Restriction-Modification
Systems
- _id: 251D65D8-B435-11E9-9278-68D0E5697425
grant_number: '24210'
name: Effects of Stochasticity on the Function of Restriction-Modi cation Systems
at the Single-Cell Level
publication: Biology Letters
publication_identifier:
issn:
- 1744-9561
publication_status: published
publisher: The Royal Society
publist_id: '7253'
quality_controlled: '1'
related_material:
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relation: research_data
status: public
- id: '202'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Effects of mutations in phage restriction sites during escape from restriction–modification
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13
year: '2017'
...
---
_id: '570'
abstract:
- lang: eng
text: 'Most phenotypes are determined by molecular systems composed of specifically
interacting molecules. However, unlike for individual components, little is known
about the distributions of mutational effects of molecular systems as a whole.
We ask how the distribution of mutational effects of a transcriptional regulatory
system differs from the distributions of its components, by first independently,
and then simultaneously, mutating a transcription factor and the associated promoter
it represses. We find that the system distribution exhibits increased phenotypic
variation compared to individual component distributions - an effect arising from
intermolecular epistasis between the transcription factor and its DNA-binding
site. In large part, this epistasis can be qualitatively attributed to the structure
of the transcriptional regulatory system and could therefore be a common feature
in prokaryotes. Counter-intuitively, intermolecular epistasis can alleviate the
constraints of individual components, thereby increasing phenotypic variation
that selection could act on and facilitating adaptive evolution. '
article_number: e28921
article_processing_charge: No
author:
- first_name: Mato
full_name: Lagator, Mato
id: 345D25EC-F248-11E8-B48F-1D18A9856A87
last_name: Lagator
- first_name: Srdjan
full_name: Sarikas, Srdjan
id: 35F0286E-F248-11E8-B48F-1D18A9856A87
last_name: Sarikas
- first_name: Hande
full_name: Acar, Hande
id: 2DDF136A-F248-11E8-B48F-1D18A9856A87
last_name: Acar
orcid: 0000-0003-1986-9753
- first_name: Jonathan P
full_name: Bollback, Jonathan P
id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87
last_name: Bollback
orcid: 0000-0002-4624-4612
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Lagator M, Sarikas S, Acar H, Bollback JP, Guet CC. Regulatory network structure
determines patterns of intermolecular epistasis. eLife. 2017;6. doi:10.7554/eLife.28921
apa: Lagator, M., Sarikas, S., Acar, H., Bollback, J. P., & Guet, C. C. (2017).
Regulatory network structure determines patterns of intermolecular epistasis.
ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.28921
chicago: Lagator, Mato, Srdjan Sarikas, Hande Acar, Jonathan P Bollback, and Calin
C Guet. “Regulatory Network Structure Determines Patterns of Intermolecular Epistasis.”
ELife. eLife Sciences Publications, 2017. https://doi.org/10.7554/eLife.28921.
ieee: M. Lagator, S. Sarikas, H. Acar, J. P. Bollback, and C. C. Guet, “Regulatory
network structure determines patterns of intermolecular epistasis,” eLife,
vol. 6. eLife Sciences Publications, 2017.
ista: Lagator M, Sarikas S, Acar H, Bollback JP, Guet CC. 2017. Regulatory network
structure determines patterns of intermolecular epistasis. eLife. 6, e28921.
mla: Lagator, Mato, et al. “Regulatory Network Structure Determines Patterns of
Intermolecular Epistasis.” ELife, vol. 6, e28921, eLife Sciences Publications,
2017, doi:10.7554/eLife.28921.
short: M. Lagator, S. Sarikas, H. Acar, J.P. Bollback, C.C. Guet, ELife 6 (2017).
corr_author: '1'
date_created: 2018-12-11T11:47:14Z
date_published: 2017-11-13T00:00:00Z
date_updated: 2025-09-11T07:40:30Z
day: '13'
ddc:
- '576'
department:
- _id: CaGu
- _id: JoBo
- _id: NiBa
doi: 10.7554/eLife.28921
ec_funded: 1
external_id:
isi:
- '000425868200001'
file:
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checksum: 273ab17f33305e4eaafd911ff88e7c5b
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:14:42Z
date_updated: 2020-07-14T12:47:10Z
file_id: '5096'
file_name: IST-2017-918-v1+1_elife-28921-figures-v3.pdf
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relation: main_file
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creator: system
date_created: 2018-12-12T10:14:43Z
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file_id: '5097'
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file_size: 1953221
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file_date_updated: 2020-07-14T12:47:10Z
fulldoi: https://doi.org/10.7554/eLife.28921
has_accepted_license: '1'
intvolume: ' 6'
isi: 1
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 2578D616-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '648440'
name: Selective Barriers to Horizontal Gene Transfer
publication: eLife
publication_identifier:
issn:
- 2050-084X
publication_status: published
publisher: eLife Sciences Publications
publist_id: '7244'
pubrep_id: '918'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Regulatory network structure determines patterns of intermolecular epistasis
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: 6
year: '2017'
...
---
_id: '613'
abstract:
- lang: eng
text: 'Bacteria in groups vary individually, and interact with other bacteria and
the environment to produce population-level patterns of gene expression. Investigating
such behavior in detail requires measuring and controlling populations at the
single-cell level alongside precisely specified interactions and environmental
characteristics. Here we present an automated, programmable platform that combines
image-based gene expression and growth measurements with on-line optogenetic expression
control for hundreds of individual Escherichia coli cells over days, in a dynamically
adjustable environment. This integrated platform broadly enables experiments that
bridge individual and population behaviors. We demonstrate: (i) population structuring
by independent closed-loop control of gene expression in many individual cells,
(ii) cell-cell variation control during antibiotic perturbation, (iii) hybrid
bio-digital circuits in single cells, and freely specifiable digital communication
between individual bacteria. These examples showcase the potential for real-time
integration of theoretical models with measurement and control of many individual
cells to investigate and engineer microbial population behavior.'
acknowledgement: We are grateful to M. Lang, H. Janovjak, M. Khammash, A. Milias-Argeitis,
M. Rullan, G. Batt, A. Bosma-Moody, Aryan, S. Leibler, and members of the Guet and
Tkačik groups for helpful discussion, comments, and suggestions. We thank A. Moglich,
T. Mathes, J. Tabor, and S. Schmidl for kind gifts of strains, and R. Hauschild,
B. Knep, M. Lang, T. Asenov, E. Papusheva, T. Menner, T. Adletzberger, and J. Merrin
for technical assistance. The research leading to these results has received funding
from the People Programme (Marie Curie Actions) of the European Union’s Seventh
Framework Programme (FP7/2007–2013) under REA grant agreement no. [291734]. (to
R.C. and J.R.), Austrian Science Fund grant FWF P28844 (to G.T.), and internal IST
Austria Interdisciplinary Project Support. J.R. acknowledges support from the Agence
Nationale de la Recherche (ANR) under Grant Nos. ANR-16-CE33-0018 (MEMIP), ANR-16-CE12-0025
(COGEX) and ANR-10-BINF-06-01 (ICEBERG).
article_number: '1535'
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Remy P
full_name: Chait, Remy P
id: 3464AE84-F248-11E8-B48F-1D18A9856A87
last_name: Chait
orcid: 0000-0003-0876-3187
- first_name: Jakob
full_name: Ruess, Jakob
id: 4A245D00-F248-11E8-B48F-1D18A9856A87
last_name: Ruess
orcid: 0000-0003-1615-3282
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Chait RP, Ruess J, Bergmiller T, Tkačik G, Guet CC. Shaping bacterial population
behavior through computer interfaced control of individual cells. Nature Communications.
2017;8(1). doi:10.1038/s41467-017-01683-1
apa: Chait, R. P., Ruess, J., Bergmiller, T., Tkačik, G., & Guet, C. C. (2017).
Shaping bacterial population behavior through computer interfaced control of individual
cells. Nature Communications. Nature Publishing Group. https://doi.org/10.1038/s41467-017-01683-1
chicago: Chait, Remy P, Jakob Ruess, Tobias Bergmiller, Gašper Tkačik, and Calin
C Guet. “Shaping Bacterial Population Behavior through Computer Interfaced Control
of Individual Cells.” Nature Communications. Nature Publishing Group, 2017.
https://doi.org/10.1038/s41467-017-01683-1.
ieee: R. P. Chait, J. Ruess, T. Bergmiller, G. Tkačik, and C. C. Guet, “Shaping
bacterial population behavior through computer interfaced control of individual
cells,” Nature Communications, vol. 8, no. 1. Nature Publishing Group,
2017.
ista: Chait RP, Ruess J, Bergmiller T, Tkačik G, Guet CC. 2017. Shaping bacterial
population behavior through computer interfaced control of individual cells. Nature
Communications. 8(1), 1535.
mla: Chait, Remy P., et al. “Shaping Bacterial Population Behavior through Computer
Interfaced Control of Individual Cells.” Nature Communications, vol. 8,
no. 1, 1535, Nature Publishing Group, 2017, doi:10.1038/s41467-017-01683-1.
short: R.P. Chait, J. Ruess, T. Bergmiller, G. Tkačik, C.C. Guet, Nature Communications
8 (2017).
corr_author: '1'
date_created: 2018-12-11T11:47:30Z
date_published: 2017-12-01T00:00:00Z
date_updated: 2025-09-11T07:34:12Z
day: '01'
ddc:
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external_id:
isi:
- '000415323000008'
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creator: system
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isi: 1
issue: '1'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 254E9036-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P28844-B27
name: Biophysics of information processing in gene regulation
publication: Nature Communications
publication_identifier:
issn:
- 2041-1723
publication_status: published
publisher: Nature Publishing Group
publist_id: '7191'
pubrep_id: '911'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Shaping bacterial population behavior through computer interfaced control of
individual cells
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: 8
year: '2017'
...
---
_id: '624'
abstract:
- lang: eng
text: Bacteria adapt to adverse environmental conditions by altering gene expression
patterns. Recently, a novel stress adaptation mechanism has been described that
allows Escherichia coli to alter gene expression at the post-transcriptional level.
The key player in this regulatory pathway is the endoribonuclease MazF, the toxin
component of the toxin-antitoxin module mazEF that is triggered by various stressful
conditions. In general, MazF degrades the majority of transcripts by cleaving
at ACA sites, which results in the retardation of bacterial growth. Furthermore,
MazF can process a small subset of mRNAs and render them leaderless by removing
their ribosome binding site. MazF concomitantly modifies ribosomes, making them
selective for the translation of leaderless mRNAs. In this study, we employed
fluorescent reporter-systems to investigate mazEF expression during stressful
conditions, and to infer consequences of the mRNA processing mediated by MazF
on gene expression at the single-cell level. Our results suggest that mazEF transcription
is maintained at low levels in single cells encountering adverse conditions, such
as antibiotic stress or amino acid starvation. Moreover, using the grcA mRNA as
a model for MazF-mediated mRNA processing, we found that MazF activation promotes
heterogeneity in the grcA reporter expression, resulting in a subpopulation of
cells with increased levels of GrcA reporter protein.
acknowledgement: 'Austrian Science Fund (FWF): M1697, P22249; Swiss National Science
Foundation (SNF): 145706; European Commission;FWF Special Research Program: RNA-REG
F43'
article_number: '3830'
article_processing_charge: No
author:
- first_name: Nela
full_name: Nikolic, Nela
id: 42D9CABC-F248-11E8-B48F-1D18A9856A87
last_name: Nikolic
orcid: 0000-0001-9068-6090
- first_name: Zrinka
full_name: Didara, Zrinka
last_name: Didara
- first_name: Isabella
full_name: Moll, Isabella
last_name: Moll
citation:
ama: Nikolic N, Didara Z, Moll I. MazF activation promotes translational heterogeneity
of the grcA mRNA in Escherichia coli populations. PeerJ. 2017;2017(9).
doi:10.7717/peerj.3830
apa: Nikolic, N., Didara, Z., & Moll, I. (2017). MazF activation promotes translational
heterogeneity of the grcA mRNA in Escherichia coli populations. PeerJ.
PeerJ. https://doi.org/10.7717/peerj.3830
chicago: Nikolic, Nela, Zrinka Didara, and Isabella Moll. “MazF Activation Promotes
Translational Heterogeneity of the GrcA MRNA in Escherichia Coli Populations.”
PeerJ. PeerJ, 2017. https://doi.org/10.7717/peerj.3830.
ieee: N. Nikolic, Z. Didara, and I. Moll, “MazF activation promotes translational
heterogeneity of the grcA mRNA in Escherichia coli populations,” PeerJ,
vol. 2017, no. 9. PeerJ, 2017.
ista: Nikolic N, Didara Z, Moll I. 2017. MazF activation promotes translational
heterogeneity of the grcA mRNA in Escherichia coli populations. PeerJ. 2017(9),
3830.
mla: Nikolic, Nela, et al. “MazF Activation Promotes Translational Heterogeneity
of the GrcA MRNA in Escherichia Coli Populations.” PeerJ, vol. 2017, no.
9, 3830, PeerJ, 2017, doi:10.7717/peerj.3830.
short: N. Nikolic, Z. Didara, I. Moll, PeerJ 2017 (2017).
corr_author: '1'
date_created: 2018-12-11T11:47:33Z
date_published: 2017-09-21T00:00:00Z
date_updated: 2025-09-11T07:30:06Z
day: '21'
ddc:
- '579'
department:
- _id: CaGu
doi: 10.7717/peerj.3830
external_id:
isi:
- '000411665900002'
file:
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date_updated: 2020-07-14T12:47:24Z
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file_size: 682064
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file_date_updated: 2020-07-14T12:47:24Z
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intvolume: ' 2017'
isi: 1
issue: '9'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
publication: PeerJ
publication_identifier:
issn:
- 2167-8359
publication_status: published
publisher: PeerJ
publist_id: '7172'
pubrep_id: '909'
quality_controlled: '1'
scopus_import: '1'
status: public
title: MazF activation promotes translational heterogeneity of the grcA mRNA in Escherichia
coli populations
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: 2017
year: '2017'
...
---
OA_place: publisher
_id: '202'
abstract:
- lang: eng
text: 'Restriction-modification (RM) represents the simplest and possibly the most
widespread mechanism of self/non-self discrimination in nature. In order to provide
bacteria with immunity against bacteriophages and other parasitic genetic elements,
RM systems rely on a balance between two enzymes: the restriction enzyme, which
cleaves non-self DNA at specific restriction sites, and the modification enzyme,
which tags the host’s DNA as self and thus protects it from cleavage. In this
thesis, I use population and single-cell level experiments in combination with
mathematical modeling to study different aspects of the interplay between RM systems,
bacteria and bacteriophages. First, I analyze how mutations in phage restriction
sites affect the probability of phage escape – an inherently stochastic process,
during which phages accidently get modified instead of restricted. Next, I use
single-cell experiments to show that RM systems can, with a low probability, attack
the genome of their bacterial host and that this primitive form of autoimmunity
leads to a tradeoff between the evolutionary cost and benefit of RM systems. Finally,
I investigate the nature of interactions between bacteria, RM systems and temperate
bacteriophages to find that, as a consequence of phage escape and its impact on
population dynamics, RM systems can promote acquisition of symbiotic bacteriophages,
rather than limit it. The results presented here uncover new fundamental biological
properties of RM systems and highlight their importance in the ecology and evolution
of bacteria, bacteriophages and their interactions.'
acknowledgement: "During my PhD studies, I received help from many people, all of
which unfortunately cannot be listed here. I thank them deeply and hope that I never
made them regret their kindness.\r\nI would like to express my deepest gratitude
to Călin Guet, who went far beyond his responsibilities as an advisor and was to
me also a great mentor and a friend. Călin never questioned my potential or lacked
compassion and I cannot thank him enough for cultivating in me an independent scientist.
I was amazed by his ability to recognize the most fascinating scientific problems
in objects of study that others would find mundane. I hope I adopted at least a
fraction of this ability.\r\nI will be forever grateful to Bruce Levin for all his
support and especially for giving me the best possible example of how one can practice
excellent science with humor and style. Working with Bruce was a true privilege.\r\nI
thank Jonathan Bollback and Gašper Tkačik for serving in my PhD committee and the
Austrian Academy of Science for funding my PhD research via the DOC fellowship.\r\nI
thank all our lab members: Tobias Bergmiller for his guidance, especially in the
first years of my research, and for being a good friend throughout; Remy Chait for
staying in the lab at unreasonable hours and for the good laughs at bad jokes we
shared; Anna Staron for supportively listening to my whines whenever I had to run
a gel; Magdalena Steinrück for her pioneering work in the lab; Kathrin Tomasek for
keeping the entropic forces in check and for her FACS virtuosity; Isabella Tomanek
for always being nice to me, no matter how much bench space I took from her.\r\nI
thank all my collaborators: Reiko Okura and Yuichi Wakamoto for performing and analyzing
the microfluidic experiments; Long Qian and Edo Kussell for their bioinformatics
analysis; Dominik Refardt for the λ kan phage; Moritz for his help with the mathematical
modeling. I thank Fabienne Jesse for her tireless editorial work on all our manuscripts.\r\nFinally,
I would like to thank my family and especially my wife Edita, who sacrificed a lot
so that I can pursue my goals and dreams.\r\n"
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Maros
full_name: Pleska, Maros
id: 4569785E-F248-11E8-B48F-1D18A9856A87
last_name: Pleska
orcid: 0000-0001-7460-7479
citation:
ama: Pleska M. Biology of restriction-modification systems at the single-cell and
population level. 2017. doi:10.15479/AT:ISTA:th_916
apa: Pleska, M. (2017). Biology of restriction-modification systems at the single-cell
and population level. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:th_916
chicago: Pleska, Maros. “Biology of Restriction-Modification Systems at the Single-Cell
and Population Level.” Institute of Science and Technology Austria, 2017. https://doi.org/10.15479/AT:ISTA:th_916.
ieee: M. Pleska, “Biology of restriction-modification systems at the single-cell
and population level,” Institute of Science and Technology Austria, 2017.
ista: Pleska M. 2017. Biology of restriction-modification systems at the single-cell
and population level. Institute of Science and Technology Austria.
mla: Pleska, Maros. Biology of Restriction-Modification Systems at the Single-Cell
and Population Level. Institute of Science and Technology Austria, 2017, doi:10.15479/AT:ISTA:th_916.
short: M. Pleska, Biology of Restriction-Modification Systems at the Single-Cell
and Population Level, Institute of Science and Technology Austria, 2017.
corr_author: '1'
date_created: 2018-12-11T11:45:10Z
date_published: 2017-10-01T00:00:00Z
date_updated: 2026-06-18T18:54:19Z
day: '01'
ddc:
- '576'
- '579'
degree_awarded: PhD
department:
- _id: CaGu
doi: 10.15479/AT:ISTA:th_916
file:
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file_id: '6204'
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has_accepted_license: '1'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: '126'
project:
- _id: 251D65D8-B435-11E9-9278-68D0E5697425
grant_number: '24210'
name: Effects of Stochasticity on the Function of Restriction-Modi cation Systems
at the Single-Cell Level
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
publist_id: '7711'
pubrep_id: '916'
related_material:
record:
- id: '457'
relation: part_of_dissertation
status: public
- id: '1243'
relation: part_of_dissertation
status: public
- id: '561'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
title: Biology of restriction-modification systems at the single-cell and population
level
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: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2017'
...
---
_id: '1007'
abstract:
- lang: eng
text: 'A nonlinear system possesses an invariance with respect to a set of transformations
if its output dynamics remain invariant when transforming the input, and adjusting
the initial condition accordingly. Most research has focused on invariances with
respect to time-independent pointwise transformations like translational-invariance
(u(t) -> u(t) + p, p in R) or scale-invariance (u(t) -> pu(t), p in R>0).
In this article, we introduce the concept of s0-invariances with respect to continuous
input transformations exponentially growing/decaying over time. We show that s0-invariant
systems not only encompass linear time-invariant (LTI) systems with transfer functions
having an irreducible zero at s0 in R, but also that the input/output relationship
of nonlinear s0-invariant systems possesses properties well known from their linear
counterparts. Furthermore, we extend the concept of s0-invariances to second-
and higher-order s0-invariances, corresponding to invariances with respect to
transformations of the time-derivatives of the input, and encompassing LTI systems
with zeros of multiplicity two or higher. Finally, we show that nth-order 0-invariant
systems realize – under mild conditions – nth-order nonlinear differential operators:
when excited by an input of a characteristic functional form, the system’s output
converges to a constant value only depending on the nth (nonlinear) derivative
of the input.'
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Moritz
full_name: Lang, Moritz
id: 29E0800A-F248-11E8-B48F-1D18A9856A87
last_name: Lang
- first_name: Eduardo
full_name: Sontag, Eduardo
last_name: Sontag
citation:
ama: Lang M, Sontag E. Zeros of nonlinear systems with input invariances. Automatica.
2017;81C:46-55. doi:10.1016/j.automatica.2017.03.030
apa: Lang, M., & Sontag, E. (2017). Zeros of nonlinear systems with input invariances.
Automatica. International Federation of Automatic Control. https://doi.org/10.1016/j.automatica.2017.03.030
chicago: Lang, Moritz, and Eduardo Sontag. “Zeros of Nonlinear Systems with Input
Invariances.” Automatica. International Federation of Automatic Control,
2017. https://doi.org/10.1016/j.automatica.2017.03.030.
ieee: M. Lang and E. Sontag, “Zeros of nonlinear systems with input invariances,”
Automatica, vol. 81C. International Federation of Automatic Control, pp.
46–55, 2017.
ista: Lang M, Sontag E. 2017. Zeros of nonlinear systems with input invariances.
Automatica. 81C, 46–55.
mla: Lang, Moritz, and Eduardo Sontag. “Zeros of Nonlinear Systems with Input Invariances.”
Automatica, vol. 81C, International Federation of Automatic Control, 2017,
pp. 46–55, doi:10.1016/j.automatica.2017.03.030.
short: M. Lang, E. Sontag, Automatica 81C (2017) 46–55.
date_created: 2018-12-11T11:49:39Z
date_published: 2017-06-01T00:00:00Z
date_updated: 2025-04-15T06:50:01Z
day: '01'
ddc:
- '000'
department:
- _id: CaGu
- _id: GaTk
doi: 10.1016/j.automatica.2017.03.030
ec_funded: 1
external_id:
isi:
- '000403513900006'
file:
- access_level: open_access
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:11:29Z
date_updated: 2018-12-12T10:11:29Z
file_id: '4884'
file_name: IST-2017-813-v1+1_ZerosOfNonlinearSystems.pdf
file_size: 1401954
relation: main_file
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fulldoi: https://doi.org/10.1016/j.automatica.2017.03.030
has_accepted_license: '1'
isi: 1
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
page: 46 - 55
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: Automatica
publication_identifier:
issn:
- 0005-1098
publication_status: published
publisher: International Federation of Automatic Control
publist_id: '6391'
pubrep_id: '813'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Zeros of nonlinear systems with input invariances
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: 81C
year: '2017'
...
---
_id: '954'
abstract:
- lang: eng
text: Understanding the relation between genotype and phenotype remains a major
challenge. The difficulty of predicting individual mutation effects, and particularly
the interactions between them, has prevented the development of a comprehensive
theory that links genotypic changes to their phenotypic effects. We show that
a general thermodynamic framework for gene regulation, based on a biophysical
understanding of protein-DNA binding, accurately predicts the sign of epistasis
in a canonical cis-regulatory element consisting of overlapping RNA polymerase
and repressor binding sites. Sign and magnitude of individual mutation effects
are sufficient to predict the sign of epistasis and its environmental dependence.
Thus, the thermodynamic model offers the correct null prediction for epistasis
between mutations across DNA-binding sites. Our results indicate that a predictive
theory for the effects of cis-regulatory mutations is possible from first principles,
as long as the essential molecular mechanisms and the constraints these impose
on a biological system are accounted for.
article_number: e25192
article_processing_charge: Yes
author:
- first_name: Mato
full_name: Lagator, Mato
id: 345D25EC-F248-11E8-B48F-1D18A9856A87
last_name: Lagator
- 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: Jonathan P
full_name: Bollback, Jonathan P
id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87
last_name: Bollback
orcid: 0000-0002-4624-4612
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Lagator M, Paixao T, Barton NH, Bollback JP, Guet CC. On the mechanistic nature
of epistasis in a canonical cis-regulatory element. eLife. 2017;6. doi:10.7554/eLife.25192
apa: Lagator, M., Paixao, T., Barton, N. H., Bollback, J. P., & Guet, C. C.
(2017). On the mechanistic nature of epistasis in a canonical cis-regulatory element.
ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.25192
chicago: Lagator, Mato, Tiago Paixao, Nicholas H Barton, Jonathan P Bollback, and
Calin C Guet. “On the Mechanistic Nature of Epistasis in a Canonical Cis-Regulatory
Element.” ELife. eLife Sciences Publications, 2017. https://doi.org/10.7554/eLife.25192.
ieee: M. Lagator, T. Paixao, N. H. Barton, J. P. Bollback, and C. C. Guet, “On the
mechanistic nature of epistasis in a canonical cis-regulatory element,” eLife,
vol. 6. eLife Sciences Publications, 2017.
ista: Lagator M, Paixao T, Barton NH, Bollback JP, Guet CC. 2017. On the mechanistic
nature of epistasis in a canonical cis-regulatory element. eLife. 6, e25192.
mla: Lagator, Mato, et al. “On the Mechanistic Nature of Epistasis in a Canonical
Cis-Regulatory Element.” ELife, vol. 6, e25192, eLife Sciences Publications,
2017, doi:10.7554/eLife.25192.
short: M. Lagator, T. Paixao, N.H. Barton, J.P. Bollback, C.C. Guet, ELife 6 (2017).
date_created: 2018-12-11T11:49:23Z
date_published: 2017-05-18T00:00:00Z
date_updated: 2025-07-10T12:01:50Z
day: '18'
ddc:
- '576'
department:
- _id: CaGu
- _id: NiBa
- _id: JoBo
doi: 10.7554/eLife.25192
ec_funded: 1
external_id:
isi:
- '000404024800001'
file:
- access_level: open_access
checksum: 59cdd4400fb41280122d414fea971546
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:17:49Z
date_updated: 2020-07-14T12:48:16Z
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fulldoi: https://doi.org/10.7554/eLife.25192
has_accepted_license: '1'
intvolume: ' 6'
isi: 1
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
project:
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 2578D616-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '648440'
name: Selective Barriers to Horizontal Gene Transfer
publication: eLife
publication_identifier:
issn:
- 2050-084X
publication_status: published
publisher: eLife Sciences Publications
publist_id: '6460'
pubrep_id: '841'
quality_controlled: '1'
scopus_import: '1'
status: public
title: On the mechanistic nature of epistasis in a canonical cis-regulatory element
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: 6
year: '2017'
...
---
_id: '655'
abstract:
- lang: eng
text: 'The bacterial flagellum is a self-assembling nanomachine. The external flagellar
filament, several times longer than a bacterial cell body, is made of a few tens
of thousands subunits of a single protein: flagellin. A fundamental problem concerns
the molecular mechanism of how the flagellum grows outside the cell, where no
discernible energy source is available. Here, we monitored the dynamic assembly
of individual flagella using in situ labelling and real-time immunostaining of
elongating flagellar filaments. We report that the rate of flagellum growth, initially
~1,700 amino acids per second, decreases with length and that the previously proposed
chain mechanism does not contribute to the filament elongation dynamics. Inhibition
of the proton motive force-dependent export apparatus revealed a major contribution
of substrate injection in driving filament elongation. The combination of experimental
and mathematical evidence demonstrates that a simple, injection-diffusion mechanism
controls bacterial flagella growth outside the cell.'
article_number: e23136
article_processing_charge: No
author:
- first_name: Thibaud
full_name: Renault, Thibaud
last_name: Renault
- first_name: Anthony
full_name: Abraham, Anthony
last_name: Abraham
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Guillaume
full_name: Paradis, Guillaume
last_name: Paradis
- first_name: Simon
full_name: Rainville, Simon
last_name: Rainville
- first_name: Emmanuelle
full_name: Charpentier, Emmanuelle
last_name: Charpentier
- 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: Yuhai
full_name: Tu, Yuhai
last_name: Tu
- first_name: Keiichi
full_name: Namba, Keiichi
last_name: Namba
- first_name: James
full_name: Keener, James
last_name: Keener
- first_name: Tohru
full_name: Minamino, Tohru
last_name: Minamino
- first_name: Marc
full_name: Erhardt, Marc
last_name: Erhardt
citation:
ama: Renault T, Abraham A, Bergmiller T, et al. Bacterial flagella grow through
an injection diffusion mechanism. eLife. 2017;6. doi:10.7554/eLife.23136
apa: Renault, T., Abraham, A., Bergmiller, T., Paradis, G., Rainville, S., Charpentier,
E., … Erhardt, M. (2017). Bacterial flagella grow through an injection diffusion
mechanism. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.23136
chicago: Renault, Thibaud, Anthony Abraham, Tobias Bergmiller, Guillaume Paradis,
Simon Rainville, Emmanuelle Charpentier, Calin C Guet, et al. “Bacterial Flagella
Grow through an Injection Diffusion Mechanism.” ELife. eLife Sciences Publications,
2017. https://doi.org/10.7554/eLife.23136.
ieee: T. Renault et al., “Bacterial flagella grow through an injection diffusion
mechanism,” eLife, vol. 6. eLife Sciences Publications, 2017.
ista: Renault T, Abraham A, Bergmiller T, Paradis G, Rainville S, Charpentier E,
Guet CC, Tu Y, Namba K, Keener J, Minamino T, Erhardt M. 2017. Bacterial flagella
grow through an injection diffusion mechanism. eLife. 6, e23136.
mla: Renault, Thibaud, et al. “Bacterial Flagella Grow through an Injection Diffusion
Mechanism.” ELife, vol. 6, e23136, eLife Sciences Publications, 2017, doi:10.7554/eLife.23136.
short: T. Renault, A. Abraham, T. Bergmiller, G. Paradis, S. Rainville, E. Charpentier,
C.C. Guet, Y. Tu, K. Namba, J. Keener, T. Minamino, M. Erhardt, ELife 6 (2017).
date_created: 2018-12-11T11:47:44Z
date_published: 2017-03-06T00:00:00Z
date_updated: 2025-09-11T07:11:19Z
day: '06'
ddc:
- '579'
department:
- _id: CaGu
doi: 10.7554/eLife.23136
external_id:
isi:
- '000398680700001'
file:
- access_level: open_access
checksum: 39e1c3e82ddac83a30422fa72fa1a383
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:08:53Z
date_updated: 2020-07-14T12:47:33Z
file_id: '4716'
file_name: IST-2017-904-v1+1_elife-23136-v2.pdf
file_size: 5520359
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checksum: a6d542253028f52e00aa29739ddffe8f
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:08:54Z
date_updated: 2020-07-14T12:47:33Z
file_id: '4717'
file_name: IST-2017-904-v1+2_elife-23136-figures-v2.pdf
file_size: 11242920
relation: main_file
file_date_updated: 2020-07-14T12:47:33Z
fulldoi: https://doi.org/10.7554/eLife.23136
has_accepted_license: '1'
intvolume: ' 6'
isi: 1
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
publication: eLife
publication_identifier:
issn:
- 2050-084X
publication_status: published
publisher: eLife Sciences Publications
publist_id: '7082'
pubrep_id: '904'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Bacterial flagella grow through an injection diffusion mechanism
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: 6
year: '2017'
...
---
_id: '665'
abstract:
- lang: eng
text: The molecular mechanisms underlying phenotypic variation in isogenic bacterial
populations remain poorly understood.We report that AcrAB-TolC, the main multidrug
efflux pump of Escherichia coli, exhibits a strong partitioning bias for old cell
poles by a segregation mechanism that is mediated by ternary AcrAB-TolC complex
formation. Mother cells inheriting old poles are phenotypically distinct and display
increased drug efflux activity relative to daughters. Consequently, we find systematic
and long-lived growth differences between mother and daughter cells in the presence
of subinhibitory drug concentrations. A simple model for biased partitioning predicts
a population structure of long-lived and highly heterogeneous phenotypes. This
straightforward mechanism of generating sustained growth rate differences at subinhibitory
antibiotic concentrations has implications for understanding the emergence of
multidrug resistance in bacteria.
article_processing_charge: No
article_type: original
author:
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Anna M
full_name: Andersson, Anna M
id: 2B8A40DA-F248-11E8-B48F-1D18A9856A87
last_name: Andersson
orcid: 0000-0003-2912-6769
- first_name: Kathrin
full_name: Tomasek, Kathrin
id: 3AEC8556-F248-11E8-B48F-1D18A9856A87
last_name: Tomasek
orcid: 0000-0003-3768-877X
- first_name: Enrique
full_name: Balleza, Enrique
last_name: Balleza
- first_name: Daniel
full_name: Kiviet, Daniel
last_name: Kiviet
- first_name: Robert
full_name: Hauschild, Robert
id: 4E01D6B4-F248-11E8-B48F-1D18A9856A87
last_name: Hauschild
orcid: 0000-0001-9843-3522
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Bergmiller T, Andersson AM, Tomasek K, et al. Biased partitioning of the multidrug
efflux pump AcrAB TolC underlies long lived phenotypic heterogeneity. Science.
2017;356(6335):311-315. doi:10.1126/science.aaf4762
apa: Bergmiller, T., Andersson, A. M., Tomasek, K., Balleza, E., Kiviet, D., Hauschild,
R., … Guet, C. C. (2017). Biased partitioning of the multidrug efflux pump AcrAB
TolC underlies long lived phenotypic heterogeneity. Science. American Association
for the Advancement of Science. https://doi.org/10.1126/science.aaf4762
chicago: Bergmiller, Tobias, Anna M Andersson, Kathrin Tomasek, Enrique Balleza,
Daniel Kiviet, Robert Hauschild, Gašper Tkačik, and Calin C Guet. “Biased Partitioning
of the Multidrug Efflux Pump AcrAB TolC Underlies Long Lived Phenotypic Heterogeneity.”
Science. American Association for the Advancement of Science, 2017. https://doi.org/10.1126/science.aaf4762.
ieee: T. Bergmiller et al., “Biased partitioning of the multidrug efflux
pump AcrAB TolC underlies long lived phenotypic heterogeneity,” Science,
vol. 356, no. 6335. American Association for the Advancement of Science, pp. 311–315,
2017.
ista: Bergmiller T, Andersson AM, Tomasek K, Balleza E, Kiviet D, Hauschild R, Tkačik
G, Guet CC. 2017. Biased partitioning of the multidrug efflux pump AcrAB TolC
underlies long lived phenotypic heterogeneity. Science. 356(6335), 311–315.
mla: Bergmiller, Tobias, et al. “Biased Partitioning of the Multidrug Efflux Pump
AcrAB TolC Underlies Long Lived Phenotypic Heterogeneity.” Science, vol.
356, no. 6335, American Association for the Advancement of Science, 2017, pp.
311–15, doi:10.1126/science.aaf4762.
short: T. Bergmiller, A.M. Andersson, K. Tomasek, E. Balleza, D. Kiviet, R. Hauschild,
G. Tkačik, C.C. Guet, Science 356 (2017) 311–315.
corr_author: '1'
date_created: 2018-12-11T11:47:48Z
date_published: 2017-04-21T00:00:00Z
date_updated: 2025-09-11T07:05:04Z
day: '21'
department:
- _id: CaGu
- _id: GaTk
- _id: Bio
doi: 10.1126/science.aaf4762
external_id:
isi:
- '000399540100060'
fulldoi: https://doi.org/10.1126/science.aaf4762
intvolume: ' 356'
isi: 1
issue: '6335'
language:
- iso: eng
month: '04'
oa_version: None
page: 311 - 315
project:
- _id: 254E9036-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P28844-B27
name: Biophysics of information processing in gene regulation
publication: Science
publication_identifier:
issn:
- 0036-8075
publication_status: published
publisher: American Association for the Advancement of Science
publist_id: '7064'
quality_controlled: '1'
related_material:
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relation: popular_science
status: public
scopus_import: '1'
status: public
title: Biased partitioning of the multidrug efflux pump AcrAB TolC underlies long
lived phenotypic heterogeneity
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 356
year: '2017'
...