---
_id: '9710'
abstract:
- lang: eng
text: Much of quantitative genetics is based on the ‘infinitesimal model’, under
which selection has a negligible effect on the genetic variance. This is typically
justified by assuming a very large number of loci with additive effects. However,
it applies even when genes interact, provided that the number of loci is large
enough that selection on each of them is weak relative to random drift. In the
long term, directional selection will change allele frequencies, but even then,
the effects of epistasis on the ultimate change in trait mean due to selection
may be modest. Stabilising selection can maintain many traits close to their optima,
even when the underlying alleles are weakly selected. However, the number of traits
that can be optimised is apparently limited to ~4Ne by the ‘drift load’, and this
is hard to reconcile with the apparent complexity of many organisms. Just as for
the mutation load, this limit can be evaded by a particular form of negative epistasis.
A more robust limit is set by the variance in reproductive success. This suggests
that selection accumulates information most efficiently in the infinitesimal regime,
when selection on individual alleles is weak, and comparable with random drift.
A review of evidence on selection strength suggests that although most variance
in fitness may be because of alleles with large Nes, substantial amounts of adaptation
may be because of alleles in the infinitesimal regime, in which epistasis has
modest effects.
article_processing_charge: No
author:
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
citation:
ama: 'Barton NH. Data from: How does epistasis influence the response to selection?
2016. doi:10.5061/dryad.s5s7r'
apa: 'Barton, N. H. (2016). Data from: How does epistasis influence the response
to selection? Dryad. https://doi.org/10.5061/dryad.s5s7r'
chicago: 'Barton, Nicholas H. “Data from: How Does Epistasis Influence the Response
to Selection?” Dryad, 2016. https://doi.org/10.5061/dryad.s5s7r.'
ieee: 'N. H. Barton, “Data from: How does epistasis influence the response to selection?”
Dryad, 2016.'
ista: 'Barton NH. 2016. Data from: How does epistasis influence the response to
selection?, Dryad, 10.5061/dryad.s5s7r.'
mla: 'Barton, Nicholas H. Data from: How Does Epistasis Influence the Response
to Selection? Dryad, 2016, doi:10.5061/dryad.s5s7r.'
short: N.H. Barton, (2016).
date_created: 2021-07-23T11:45:47Z
date_published: 2016-09-23T00:00:00Z
date_updated: 2025-05-28T11:57:03Z
day: '23'
department:
- _id: NiBa
doi: 10.5061/dryad.s5s7r
main_file_link:
- open_access: '1'
url: https://doi.org/10.5061/dryad.s5s7r
month: '09'
oa: 1
oa_version: Published Version
publisher: Dryad
related_material:
record:
- id: '1199'
relation: used_in_publication
status: public
status: public
title: 'Data from: How does epistasis influence the response to selection?'
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2016'
...
---
_id: '9862'
article_processing_charge: No
author:
- first_name: Camille
full_name: Roux, Camille
last_name: Roux
- first_name: Christelle
full_name: Fraisse, Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
orcid: 0000-0001-8441-5075
- first_name: Jonathan
full_name: Romiguier, Jonathan
last_name: Romiguier
- first_name: Youann
full_name: Anciaux, Youann
last_name: Anciaux
- first_name: Nicolas
full_name: Galtier, Nicolas
last_name: Galtier
- first_name: Nicolas
full_name: Bierne, Nicolas
last_name: Bierne
citation:
ama: Roux C, Fraisse C, Romiguier J, Anciaux Y, Galtier N, Bierne N. Simulation
study to test the robustness of ABC in face of recent times of divergence. 2016.
doi:10.1371/journal.pbio.2000234.s016
apa: Roux, C., Fraisse, C., Romiguier, J., Anciaux, Y., Galtier, N., & Bierne,
N. (2016). Simulation study to test the robustness of ABC in face of recent times
of divergence. Public Library of Science. https://doi.org/10.1371/journal.pbio.2000234.s016
chicago: Roux, Camille, Christelle Fraisse, Jonathan Romiguier, Youann Anciaux,
Nicolas Galtier, and Nicolas Bierne. “Simulation Study to Test the Robustness
of ABC in Face of Recent Times of Divergence.” Public Library of Science, 2016.
https://doi.org/10.1371/journal.pbio.2000234.s016.
ieee: C. Roux, C. Fraisse, J. Romiguier, Y. Anciaux, N. Galtier, and N. Bierne,
“Simulation study to test the robustness of ABC in face of recent times of divergence.”
Public Library of Science, 2016.
ista: Roux C, Fraisse C, Romiguier J, Anciaux Y, Galtier N, Bierne N. 2016. Simulation
study to test the robustness of ABC in face of recent times of divergence, Public
Library of Science, 10.1371/journal.pbio.2000234.s016.
mla: Roux, Camille, et al. Simulation Study to Test the Robustness of ABC in
Face of Recent Times of Divergence. Public Library of Science, 2016, doi:10.1371/journal.pbio.2000234.s016.
short: C. Roux, C. Fraisse, J. Romiguier, Y. Anciaux, N. Galtier, N. Bierne, (2016).
date_created: 2021-08-10T08:20:17Z
date_updated: 2023-02-21T16:21:20Z
day: '27'
department:
- _id: BeVi
- _id: NiBa
doi: 10.1371/journal.pbio.2000234.s016
month: '12'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '1158'
relation: used_in_publication
status: public
status: public
title: Simulation study to test the robustness of ABC in face of recent times of divergence
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2016'
...
---
_id: '9863'
article_processing_charge: No
author:
- first_name: Camille
full_name: Roux, Camille
last_name: Roux
- first_name: Christelle
full_name: Fraisse, Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
orcid: 0000-0001-8441-5075
- first_name: Jonathan
full_name: Romiguier, Jonathan
last_name: Romiguier
- first_name: Youann
full_name: Anciaux, Youann
last_name: Anciaux
- first_name: Nicolas
full_name: Galtier, Nicolas
last_name: Galtier
- first_name: Nicolas
full_name: Bierne, Nicolas
last_name: Bierne
citation:
ama: Roux C, Fraisse C, Romiguier J, Anciaux Y, Galtier N, Bierne N. Accessions
of surveyed individuals, geographic locations and summary statistics. 2016. doi:10.1371/journal.pbio.2000234.s017
apa: Roux, C., Fraisse, C., Romiguier, J., Anciaux, Y., Galtier, N., & Bierne,
N. (2016). Accessions of surveyed individuals, geographic locations and summary
statistics. Public Library of Science. https://doi.org/10.1371/journal.pbio.2000234.s017
chicago: Roux, Camille, Christelle Fraisse, Jonathan Romiguier, Youann Anciaux,
Nicolas Galtier, and Nicolas Bierne. “Accessions of Surveyed Individuals, Geographic
Locations and Summary Statistics.” Public Library of Science, 2016. https://doi.org/10.1371/journal.pbio.2000234.s017.
ieee: C. Roux, C. Fraisse, J. Romiguier, Y. Anciaux, N. Galtier, and N. Bierne,
“Accessions of surveyed individuals, geographic locations and summary statistics.”
Public Library of Science, 2016.
ista: Roux C, Fraisse C, Romiguier J, Anciaux Y, Galtier N, Bierne N. 2016. Accessions
of surveyed individuals, geographic locations and summary statistics, Public Library
of Science, 10.1371/journal.pbio.2000234.s017.
mla: Roux, Camille, et al. Accessions of Surveyed Individuals, Geographic Locations
and Summary Statistics. Public Library of Science, 2016, doi:10.1371/journal.pbio.2000234.s017.
short: C. Roux, C. Fraisse, J. Romiguier, Y. Anciaux, N. Galtier, N. Bierne, (2016).
date_created: 2021-08-10T08:22:52Z
date_updated: 2023-02-21T16:21:20Z
day: '27'
department:
- _id: BeVi
- _id: NiBa
doi: 10.1371/journal.pbio.2000234.s017
month: '12'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '1158'
relation: used_in_publication
status: public
status: public
title: Accessions of surveyed individuals, geographic locations and summary statistics
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2016'
...
---
_id: '9864'
abstract:
- lang: eng
text: Viral capsids are structurally constrained by interactions among the amino
acids (AAs) of their constituent proteins. Therefore, epistasis is expected to
evolve among physically interacting sites and to influence the rates of substitution.
To study the evolution of epistasis, we focused on the major structural protein
of the ϕX174 phage family by, first, reconstructing the ancestral protein sequences
of 18 species using a Bayesian statistical framework. The inferred ancestral reconstruction
differed at eight AAs, for a total of 256 possible ancestral haplotypes. For each
ancestral haplotype and the extant species, we estimated, in silico, the distribution
of free energies and epistasis of the capsid structure. We found that free energy
has not significantly increased but epistasis has. We decomposed epistasis up
to fifth order and found that higher-order epistasis sometimes compensates pairwise
interactions making the free energy seem additive. The dN/dS ratio is low, suggesting
strong purifying selection, and that structure is under stabilizing selection.
We synthesized phages carrying ancestral haplotypes of the coat protein gene and
measured their fitness experimentally. Our findings indicate that stabilizing
mutations can have higher fitness, and that fitness optima do not necessarily
coincide with energy minima.
article_processing_charge: No
author:
- first_name: Rodrigo A
full_name: Fernandes Redondo, Rodrigo A
id: 409D5C96-F248-11E8-B48F-1D18A9856A87
last_name: Fernandes Redondo
orcid: 0000-0002-5837-2793
- first_name: Harold
full_name: de Vladar, Harold
id: 2A181218-F248-11E8-B48F-1D18A9856A87
last_name: de Vladar
orcid: 0000-0002-5985-7653
- first_name: Tomasz
full_name: Włodarski, Tomasz
last_name: Włodarski
- first_name: Jonathan P
full_name: Bollback, Jonathan P
id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87
last_name: Bollback
orcid: 0000-0002-4624-4612
citation:
ama: Fernandes Redondo RA, de Vladar H, Włodarski T, Bollback JP. Data from evolutionary
interplay between structure, energy and epistasis in the coat protein of the ϕX174
phage family. 2016. doi:10.6084/m9.figshare.4315652.v1
apa: Fernandes Redondo, R. A., de Vladar, H., Włodarski, T., & Bollback, J.
P. (2016). Data from evolutionary interplay between structure, energy and epistasis
in the coat protein of the ϕX174 phage family. The Royal Society. https://doi.org/10.6084/m9.figshare.4315652.v1
chicago: Fernandes Redondo, Rodrigo A, Harold de Vladar, Tomasz Włodarski, and Jonathan
P Bollback. “Data from Evolutionary Interplay between Structure, Energy and Epistasis
in the Coat Protein of the ΦX174 Phage Family.” The Royal Society, 2016. https://doi.org/10.6084/m9.figshare.4315652.v1.
ieee: R. A. Fernandes Redondo, H. de Vladar, T. Włodarski, and J. P. Bollback, “Data
from evolutionary interplay between structure, energy and epistasis in the coat
protein of the ϕX174 phage family.” The Royal Society, 2016.
ista: Fernandes Redondo RA, de Vladar H, Włodarski T, Bollback JP. 2016. Data from
evolutionary interplay between structure, energy and epistasis in the coat protein
of the ϕX174 phage family, The Royal Society, 10.6084/m9.figshare.4315652.v1.
mla: Fernandes Redondo, Rodrigo A., et al. Data from Evolutionary Interplay between
Structure, Energy and Epistasis in the Coat Protein of the ΦX174 Phage Family.
The Royal Society, 2016, doi:10.6084/m9.figshare.4315652.v1.
short: R.A. Fernandes Redondo, H. de Vladar, T. Włodarski, J.P. Bollback, (2016).
date_created: 2021-08-10T08:29:47Z
date_published: 2016-12-14T00:00:00Z
date_updated: 2025-05-28T11:57:06Z
day: '14'
department:
- _id: NiBa
- _id: JoBo
doi: 10.6084/m9.figshare.4315652.v1
main_file_link:
- open_access: '1'
url: https://doi.org/10.6084/m9.figshare.4315652.v1
month: '12'
oa: 1
oa_version: Published Version
publisher: The Royal Society
related_material:
record:
- id: '1077'
relation: used_in_publication
status: public
status: public
title: Data from evolutionary interplay between structure, energy and epistasis in
the coat protein of the ϕX174 phage family
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2016'
...
---
_id: '1125'
abstract:
- lang: eng
text: "Natural environments are never constant but subject to spatial and temporal
change on\r\nall scales, increasingly so due to human activity. Hence, it is crucial
to understand the\r\nimpact of environmental variation on evolutionary processes.
In this thesis, I present\r\nthree topics that share the common theme of environmental
variation, yet illustrate its\r\neffect from different perspectives.\r\nFirst,
I show how a temporally fluctuating environment gives rise to second-order\r\nselection
on a modifier for stress-induced mutagenesis. Without fluctuations, when\r\npopulations
are adapted to their environment, mutation rates are minimized. I argue\r\nthat
a stress-induced mutator mechanism may only be maintained if the population is\r\nrepeatedly
subjected to diverse environmental challenges, and I outline implications of\r\nthe
presented results to antibiotic treatment strategies.\r\nSecond, I discuss my
work on the evolution of dispersal. Besides reproducing\r\nknown results about
the effect of heterogeneous habitats on dispersal, it identifies\r\nspatial changes
in dispersal type frequencies as a source for selection for increased\r\npropensities
to disperse. This concept contains effects of relatedness that are known\r\nto
promote dispersal, and I explain how it identifies other forces selecting for
dispersal\r\nand puts them on a common scale.\r\nThird, I analyse genetic variances
of phenotypic traits under multivariate stabilizing\r\nselection. For the case
of constant environments, I generalize known formulae of\r\nequilibrium variances
to multiple traits and discuss how the genetic variance of a focal\r\ntrait is
influenced by selection on background traits. I conclude by presenting ideas and\r\npreliminary
work aiming at including environmental fluctuations in the form of moving\r\ntrait
optima into the model."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
orcid: 0000-0002-2519-824X
citation:
ama: Novak S. Evolutionary proccesses in variable emvironments. 2016.
apa: Novak, S. (2016). Evolutionary proccesses in variable emvironments.
Institute of Science and Technology Austria.
chicago: Novak, Sebastian. “Evolutionary Proccesses in Variable Emvironments.” Institute
of Science and Technology Austria, 2016.
ieee: S. Novak, “Evolutionary proccesses in variable emvironments,” Institute of
Science and Technology Austria, 2016.
ista: Novak S. 2016. Evolutionary proccesses in variable emvironments. Institute
of Science and Technology Austria.
mla: Novak, Sebastian. Evolutionary Proccesses in Variable Emvironments.
Institute of Science and Technology Austria, 2016.
short: S. Novak, Evolutionary Proccesses in Variable Emvironments, Institute of
Science and Technology Austria, 2016.
date_created: 2018-12-11T11:50:17Z
date_published: 2016-07-01T00:00:00Z
date_updated: 2025-05-28T11:57:05Z
day: '01'
ddc:
- '576'
degree_awarded: PhD
department:
- _id: NiBa
file:
- access_level: closed
checksum: 81dcc838dfcf7aa0b1a27ecf4fe2da4e
content_type: application/pdf
creator: dernst
date_created: 2019-08-13T09:01:00Z
date_updated: 2019-08-13T09:01:00Z
file_id: '6811'
file_name: Novak_thesis.pdf
file_size: 3564901
relation: main_file
- access_level: open_access
checksum: 30808d2f7ca920e09f63a95cdc49bffd
content_type: application/pdf
creator: dernst
date_created: 2021-02-22T13:42:47Z
date_updated: 2021-02-22T13:42:47Z
file_id: '9186'
file_name: 2016_Novak_Thesis.pdf
file_size: 2814384
relation: main_file
success: 1
file_date_updated: 2021-02-22T13:42:47Z
has_accepted_license: '1'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: '124'
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
publist_id: '6235'
related_material:
record:
- id: '2023'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
title: Evolutionary proccesses in variable emvironments
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2016'
...
---
_id: '1131'
abstract:
- lang: eng
text: "Evolution of gene regulation is important for phenotypic evolution and diversity.
Sequence-specific binding of regulatory proteins is one of the key regulatory
mechanisms determining gene expression. Although there has been intense interest
in evolution of regulatory binding sites in the last decades, a theoretical understanding
is far from being complete. In this thesis, I aim at a better understanding of
the evolution of transcriptional regulatory binding sequences by using biophysical
and population genetic models.\r\nIn the first part of the thesis, I discuss how
to formulate the evolutionary dynamics of binding se- quences in a single isolated
binding site and in promoter/enhancer regions. I develop a theoretical framework
bridging between a thermodynamical model for transcription and a mutation-selection-drift
model for monomorphic populations. I mainly address the typical evolutionary rates,
and how they de- pend on biophysical parameters (e.g. binding length and specificity)
and population genetic parameters (e.g. population size and selection strength).\r\nIn
the second part of the thesis, I analyse empirical data for a better evolutionary
and biophysical understanding of sequence-specific binding of bacterial RNA polymerase.
First, I infer selection on regulatory and non-regulatory binding sites of RNA
polymerase in the E. coli K12 genome. Second, I infer the chemical potential of
RNA polymerase, an important but unknown physical parameter defining the threshold
energy for strong binding. Furthermore, I try to understand the relation between
the lac promoter sequence diversity and the LacZ activity variation among 20 bacterial
isolates by constructing a simple but biophysically motivated gene expression
model. Lastly, I lay out a statistical framework to predict adaptive point mutations
in de novo promoter evolution in a selection experiment."
acknowledgement: This PhD thesis may not have been completed without the help and
care I received from some peo- ple during my PhD life. I am especially grateful
to Tiago Paixao, Gasper Tkacik, Nick Barton, not only for their scientific advices
but also for their patience and support. I thank Calin Guet and Jonathan Bollback
for allowing me to “play around” in their labs and get some experience on experimental
evolution. I thank Magdalena Steinrueck and Fabienne Jesse for collaborating and
sharing their experimental data with me. I thank Johannes Jaeger for reviewing my
thesis. I thank all members of Barton group (aka bartonians) for their feedback,
and all workers of IST Austria for making the best working conditions. Lastly, I
thank two special women, Nejla Sag ̆lam and Setenay Dog ̆an, for their continuous
support and encouragement. I truly had a great chance of having right people around
me.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Murat
full_name: Tugrul, Murat
id: 37C323C6-F248-11E8-B48F-1D18A9856A87
last_name: Tugrul
orcid: 0000-0002-8523-0758
citation:
ama: Tugrul M. Evolution of transcriptional regulatory sequences. 2016.
apa: Tugrul, M. (2016). Evolution of transcriptional regulatory sequences.
Institute of Science and Technology Austria.
chicago: Tugrul, Murat. “Evolution of Transcriptional Regulatory Sequences.” Institute
of Science and Technology Austria, 2016.
ieee: M. Tugrul, “Evolution of transcriptional regulatory sequences,” Institute
of Science and Technology Austria, 2016.
ista: Tugrul M. 2016. Evolution of transcriptional regulatory sequences. Institute
of Science and Technology Austria.
mla: Tugrul, Murat. Evolution of Transcriptional Regulatory Sequences. Institute
of Science and Technology Austria, 2016.
short: M. Tugrul, Evolution of Transcriptional Regulatory Sequences, Institute of
Science and Technology Austria, 2016.
date_created: 2018-12-11T11:50:19Z
date_published: 2016-07-01T00:00:00Z
date_updated: 2025-05-28T11:57:04Z
day: '01'
ddc:
- '576'
degree_awarded: PhD
department:
- _id: NiBa
file:
- access_level: closed
checksum: 66cb61a59943e4fb7447c6a86be5ef51
content_type: application/pdf
creator: dernst
date_created: 2019-08-13T08:53:52Z
date_updated: 2019-08-13T08:53:52Z
file_id: '6810'
file_name: Tugrul_thesis_w_signature_page.pdf
file_size: 3695257
relation: main_file
- access_level: open_access
checksum: 293e388d70563760f6b24c3e66283dda
content_type: application/pdf
creator: dernst
date_created: 2021-02-22T11:45:20Z
date_updated: 2021-02-22T11:45:20Z
file_id: '9182'
file_name: 2016_Tugrul_Thesis.pdf
file_size: 3880811
relation: main_file
success: 1
file_date_updated: 2021-02-22T11:45:20Z
has_accepted_license: '1'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: '89'
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
publist_id: '6229'
related_material:
record:
- id: '5554'
relation: research_data
status: public
- id: '1666'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
title: Evolution of transcriptional regulatory sequences
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2016'
...
---
_id: '1158'
abstract:
- lang: eng
text: Speciation results from the progressive accumulation of mutations that decrease
the probability of mating between parental populations or reduce the fitness of
hybrids—the so-called species barriers. The speciation genomic literature, however,
is mainly a collection of case studies, each with its own approach and specificities,
such that a global view of the gradual process of evolution from one to two species
is currently lacking. Of primary importance is the prevalence of gene flow between
diverging entities, which is central in most species concepts and has been widely
discussed in recent years. Here, we explore the continuum of speciation thanks
to a comparative analysis of genomic data from 61 pairs of populations/species
of animals with variable levels of divergence. Gene flow between diverging gene
pools is assessed under an approximate Bayesian computation (ABC) framework. We
show that the intermediate "grey zone" of speciation, in which taxonomy
is often controversial, spans from 0.5% to 2% of net synonymous divergence, irrespective
of species life history traits or ecology. Thanks to appropriate modeling of among-locus
variation in genetic drift and introgression rate, we clarify the status of the
majority of ambiguous cases and uncover a number of cryptic species. Our analysis
also reveals the high incidence in animals of semi-isolated species (when some
but not all loci are affected by barriers to gene flow) and highlights the intrinsic
difficulty, both statistical and conceptual, of delineating species in the grey
zone of speciation.
acknowledgement: "European Research Council (ERC) https://erc.europa.eu/ (grant number
ERC grant 232971). PopPhyl project. The funder had no role in study design, data
collection and analysis, decision to publish, or preparation of the manuscript.
French National Research Agency (ANR) http://www.agence-nationale-recherche.fr/en/project-based-funding-to-advance-french-research/
(grant number ANR-12-BSV7- 0011). HYSEA project.\r\nWe thank Aude Darracq, Vincent
Castric, Pierre-Alexandre Gagnaire, Xavier Vekemans, and John Welch for insightful
discussions. The computations were performed at the Vital-IT (http://www.vital-it.ch)
Center for high-performance computing of the SIB Swiss Institute of Bioinformatics
and the ISEM computing cluster at the platform Montpellier Bioinformatique et Biodiversité."
article_number: e2000234
author:
- first_name: Camille
full_name: Roux, Camille
last_name: Roux
- first_name: Christelle
full_name: Fraisse, Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
orcid: 0000-0001-8441-5075
- first_name: Jonathan
full_name: Romiguier, Jonathan
last_name: Romiguier
- first_name: Youann
full_name: Anciaux, Youann
last_name: Anciaux
- first_name: Nicolas
full_name: Galtier, Nicolas
last_name: Galtier
- first_name: Nicolas
full_name: Bierne, Nicolas
last_name: Bierne
citation:
ama: Roux C, Fraisse C, Romiguier J, Anciaux Y, Galtier N, Bierne N. Shedding light
on the grey zone of speciation along a continuum of genomic divergence. PLoS
Biology. 2016;14(12). doi:10.1371/journal.pbio.2000234
apa: Roux, C., Fraisse, C., Romiguier, J., Anciaux, Y., Galtier, N., & Bierne,
N. (2016). Shedding light on the grey zone of speciation along a continuum of
genomic divergence. PLoS Biology. Public Library of Science. https://doi.org/10.1371/journal.pbio.2000234
chicago: Roux, Camille, Christelle Fraisse, Jonathan Romiguier, Youann Anciaux,
Nicolas Galtier, and Nicolas Bierne. “Shedding Light on the Grey Zone of Speciation
along a Continuum of Genomic Divergence.” PLoS Biology. Public Library
of Science, 2016. https://doi.org/10.1371/journal.pbio.2000234.
ieee: C. Roux, C. Fraisse, J. Romiguier, Y. Anciaux, N. Galtier, and N. Bierne,
“Shedding light on the grey zone of speciation along a continuum of genomic divergence,”
PLoS Biology, vol. 14, no. 12. Public Library of Science, 2016.
ista: Roux C, Fraisse C, Romiguier J, Anciaux Y, Galtier N, Bierne N. 2016. Shedding
light on the grey zone of speciation along a continuum of genomic divergence.
PLoS Biology. 14(12), e2000234.
mla: Roux, Camille, et al. “Shedding Light on the Grey Zone of Speciation along
a Continuum of Genomic Divergence.” PLoS Biology, vol. 14, no. 12, e2000234,
Public Library of Science, 2016, doi:10.1371/journal.pbio.2000234.
short: C. Roux, C. Fraisse, J. Romiguier, Y. Anciaux, N. Galtier, N. Bierne, PLoS
Biology 14 (2016).
date_created: 2018-12-11T11:50:28Z
date_published: 2016-12-27T00:00:00Z
date_updated: 2023-02-23T14:11:16Z
day: '27'
ddc:
- '576'
department:
- _id: BeVi
- _id: NiBa
doi: 10.1371/journal.pbio.2000234
file:
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checksum: 2bab63b068a9840efd532b9ae583f9bb
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creator: system
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language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
publication: PLoS Biology
publication_status: published
publisher: Public Library of Science
publist_id: '6200'
pubrep_id: '742'
quality_controlled: '1'
related_material:
record:
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relation: research_data
status: public
- id: '9863'
relation: research_data
status: public
scopus_import: 1
status: public
title: Shedding light on the grey zone of speciation along a continuum of genomic
divergence
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: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 14
year: '2016'
...
---
_id: '1172'
abstract:
- lang: eng
text: A central issue in cell biology is the physico-chemical basis of organelle
biogenesis in intracellular trafficking pathways, its most impressive manifestation
being the biogenesis of Golgi cisternae. At a basic level, such morphologically
and chemically distinct compartments should arise from an interplay between the
molecular transport and chemical maturation. Here, we formulate analytically tractable,
minimalist models, that incorporate this interplay between transport and chemical
progression in physical space, and explore the conditions for de novo biogenesis
of distinct cisternae. We propose new quantitative measures that can discriminate
between the various models of transport in a qualitative manner-this includes
measures of the dynamics in steady state and the dynamical response to perturbations
of the kind amenable to live-cell imaging.
acknowledgement: H.S. thanks NCBS for hospitality. We thank Vivek Malhotra and Mukund
Thattai for critical discussions and suggestions.
article_number: '38840'
author:
- first_name: Himani
full_name: Sachdeva, Himani
id: 42377A0A-F248-11E8-B48F-1D18A9856A87
last_name: Sachdeva
- first_name: Mustansir
full_name: Barma, Mustansir
last_name: Barma
- first_name: Madan
full_name: Rao, Madan
last_name: Rao
citation:
ama: Sachdeva H, Barma M, Rao M. Nonequilibrium description of de novo biogenesis
and transport through Golgi-like cisternae. Scientific Reports. 2016;6.
doi:10.1038/srep38840
apa: Sachdeva, H., Barma, M., & Rao, M. (2016). Nonequilibrium description of
de novo biogenesis and transport through Golgi-like cisternae. Scientific Reports.
Nature Publishing Group. https://doi.org/10.1038/srep38840
chicago: Sachdeva, Himani, Mustansir Barma, and Madan Rao. “Nonequilibrium Description
of de Novo Biogenesis and Transport through Golgi-like Cisternae.” Scientific
Reports. Nature Publishing Group, 2016. https://doi.org/10.1038/srep38840.
ieee: H. Sachdeva, M. Barma, and M. Rao, “Nonequilibrium description of de novo
biogenesis and transport through Golgi-like cisternae,” Scientific Reports,
vol. 6. Nature Publishing Group, 2016.
ista: Sachdeva H, Barma M, Rao M. 2016. Nonequilibrium description of de novo biogenesis
and transport through Golgi-like cisternae. Scientific Reports. 6, 38840.
mla: Sachdeva, Himani, et al. “Nonequilibrium Description of de Novo Biogenesis
and Transport through Golgi-like Cisternae.” Scientific Reports, vol. 6,
38840, Nature Publishing Group, 2016, doi:10.1038/srep38840.
short: H. Sachdeva, M. Barma, M. Rao, Scientific Reports 6 (2016).
date_created: 2018-12-11T11:50:32Z
date_published: 2016-12-19T00:00:00Z
date_updated: 2021-01-12T06:48:50Z
day: '19'
ddc:
- '576'
department:
- _id: NiBa
doi: 10.1038/srep38840
file:
- access_level: open_access
checksum: cb378732da885ea4959ec5b845fb6e52
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:12:56Z
date_updated: 2020-07-14T12:44:37Z
file_id: '4977'
file_name: IST-2017-737-v1+1_srep38840.pdf
file_size: 760967
relation: main_file
file_date_updated: 2020-07-14T12:44:37Z
has_accepted_license: '1'
intvolume: ' 6'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
publication: Scientific Reports
publication_status: published
publisher: Nature Publishing Group
publist_id: '6183'
pubrep_id: '737'
quality_controlled: '1'
scopus_import: 1
status: public
title: Nonequilibrium description of de novo biogenesis and transport through Golgi-like
cisternae
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: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 6
year: '2016'
...
---
_id: '1195'
abstract:
- lang: eng
text: 'The genetic analysis of experimentally evolving populations typically relies
on short reads from pooled individuals (Pool-Seq). While this method provides
reliable allele frequency estimates, the underlying haplotype structure remains
poorly characterized. With small population sizes and adaptive variants that start
from low frequencies, the interpretation of selection signatures in most Evolve
and Resequencing studies remains challenging. To facilitate the characterization
of selection targets, we propose a new approach that reconstructs selected haplotypes
from replicated time series, using Pool-Seq data. We identify selected haplotypes
through the correlated frequencies of alleles carried by them. Computer simulations
indicate that selected haplotype-blocks of several Mb can be reconstructed with
high confidence and low error rates, even when allele frequencies change only
by 20% across three replicates. Applying this method to real data from D. melanogaster
populations adapting to a hot environment, we identify a selected haplotype-block
of 6.93 Mb. We confirm the presence of this haplotype-block in evolved populations
by experimental haplotyping, demonstrating the power and accuracy of our haplotype
reconstruction from Pool-Seq data. We propose that the combination of allele frequency
estimates with haplotype information will provide the key to understanding the
dynamics of adaptive alleles. '
acknowledgement: "The authors thank all members of the Institute of Population\r\nGenetics
for discussion and support on the project and par-\r\nticularly N. Barghi for helpful
comments on earlier versions of\r\nthe manuscript. This work was supported
\ by the European\r\nResearch Council (ERC) grants “ArchAdapt” and “250152”."
author:
- first_name: Susan
full_name: Franssen, Susan
last_name: Franssen
- 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: Christian
full_name: Schlötterer, Christian
last_name: Schlötterer
citation:
ama: Franssen S, Barton NH, Schlötterer C. Reconstruction of haplotype-blocks selected
during experimental evolution. Molecular Biology and Evolution. 2016;34(1):174-184.
doi:10.1093/molbev/msw210
apa: Franssen, S., Barton, N. H., & Schlötterer, C. (2016). Reconstruction of
haplotype-blocks selected during experimental evolution. Molecular Biology
and Evolution. Oxford University Press. https://doi.org/10.1093/molbev/msw210
chicago: Franssen, Susan, Nicholas H Barton, and Christian Schlötterer. “Reconstruction
of Haplotype-Blocks Selected during Experimental Evolution.” Molecular Biology
and Evolution. Oxford University Press, 2016. https://doi.org/10.1093/molbev/msw210.
ieee: S. Franssen, N. H. Barton, and C. Schlötterer, “Reconstruction of haplotype-blocks
selected during experimental evolution.,” Molecular Biology and Evolution,
vol. 34, no. 1. Oxford University Press, pp. 174–184, 2016.
ista: Franssen S, Barton NH, Schlötterer C. 2016. Reconstruction of haplotype-blocks
selected during experimental evolution. Molecular Biology and Evolution. 34(1),
174–184.
mla: Franssen, Susan, et al. “Reconstruction of Haplotype-Blocks Selected during
Experimental Evolution.” Molecular Biology and Evolution, vol. 34, no.
1, Oxford University Press, 2016, pp. 174–84, doi:10.1093/molbev/msw210.
short: S. Franssen, N.H. Barton, C. Schlötterer, Molecular Biology and Evolution
34 (2016) 174–184.
date_created: 2018-12-11T11:50:39Z
date_published: 2016-10-03T00:00:00Z
date_updated: 2021-01-12T06:49:00Z
day: '03'
ddc:
- '576'
department:
- _id: NiBa
doi: 10.1093/molbev/msw210
ec_funded: 1
file:
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creator: system
date_created: 2018-12-12T10:16:35Z
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creator: system
date_created: 2018-12-12T10:16:39Z
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file_id: '5228'
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file_date_updated: 2020-07-14T12:44:38Z
has_accepted_license: '1'
intvolume: ' 34'
issue: '1'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Submitted Version
page: 174 - 184
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Molecular Biology and Evolution
publication_status: published
publisher: Oxford University Press
publist_id: '6155'
pubrep_id: '770'
quality_controlled: '1'
scopus_import: 1
status: public
title: Reconstruction of haplotype-blocks selected during experimental evolution.
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 34
year: '2016'
...
---
_id: '1241'
abstract:
- lang: eng
text: 'How likely is it that a population escapes extinction through adaptive evolution?
The answer to this question is of great relevance in conservation biology, where
we aim at species’ rescue and the maintenance of biodiversity, and in agriculture
and medicine, where we seek to hamper the emergence of pesticide or drug resistance.
By reshuffling the genome, recombination has two antagonistic effects on the probability
of evolutionary rescue: It generates and it breaks up favorable gene combinations.
Which of the two effects prevails depends on the fitness effects of mutations
and on the impact of stochasticity on the allele frequencies. In this article,
we analyze a mathematical model for rescue after a sudden environmental change
when adaptation is contingent on mutations at two loci. The analysis reveals a
complex nonlinear dependence of population survival on recombination. We moreover
find that, counterintuitively, a fast eradication of the wild type can promote
rescue in the presence of recombination. The model also shows that two-step rescue
is not unlikely to happen and can even be more likely than single-step rescue
(where adaptation relies on a single mutation), depending on the circumstances.'
acknowledgement: This work was made possible by a “For Women in Science” fellowship
(L’Oréal Österreich in cooperation with the Austrian Commission for the United Nations
Educational, Scientific, and Cultural Organization and the Austrian Academy of Sciences
with financial support from the Federal Ministry for Science and Research Austria)
and European Research Council grant 250152 (to Nick Barton).
article_processing_charge: No
author:
- first_name: Hildegard
full_name: Uecker, Hildegard
id: 2DB8F68A-F248-11E8-B48F-1D18A9856A87
last_name: Uecker
orcid: 0000-0001-9435-2813
- first_name: Joachim
full_name: Hermisson, Joachim
last_name: Hermisson
citation:
ama: Uecker H, Hermisson J. The role of recombination in evolutionary rescue. Genetics.
2016;202(2):721-732. doi:10.1534/genetics.115.180299
apa: Uecker, H., & Hermisson, J. (2016). The role of recombination in evolutionary
rescue. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.115.180299
chicago: Uecker, Hildegard, and Joachim Hermisson. “The Role of Recombination in
Evolutionary Rescue.” Genetics. Genetics Society of America, 2016. https://doi.org/10.1534/genetics.115.180299.
ieee: H. Uecker and J. Hermisson, “The role of recombination in evolutionary rescue,”
Genetics, vol. 202, no. 2. Genetics Society of America, pp. 721–732, 2016.
ista: Uecker H, Hermisson J. 2016. The role of recombination in evolutionary rescue.
Genetics. 202(2), 721–732.
mla: Uecker, Hildegard, and Joachim Hermisson. “The Role of Recombination in Evolutionary
Rescue.” Genetics, vol. 202, no. 2, Genetics Society of America, 2016,
pp. 721–32, doi:10.1534/genetics.115.180299.
short: H. Uecker, J. Hermisson, Genetics 202 (2016) 721–732.
das_tickbox: '1'
date_created: 2018-12-11T11:50:54Z
date_published: 2016-02-01T00:00:00Z
date_updated: 2026-06-18T07:59:00Z
day: '01'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1534/genetics.115.180299
ec_funded: 1
intvolume: ' 202'
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://biorxiv.org/content/early/2015/07/06/022020.abstract
month: '02'
oa: 1
oa_version: Preprint
page: 721 - 732
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
- _id: 25B67606-B435-11E9-9278-68D0E5697425
name: L'OREAL Fellowship
publication: Genetics
publication_status: published
publisher: Genetics Society of America
publist_id: '6091'
quality_controlled: '1'
scopus_import: '1'
status: public
title: The role of recombination in evolutionary rescue
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 202
year: '2016'
...
---
_id: '1519'
abstract:
- lang: eng
text: Evolutionary biologists have an array of powerful theoretical techniques that
can accurately predict changes in the genetic composition of populations. Changes
in gene frequencies and genetic associations between loci can be tracked as they
respond to a wide variety of evolutionary forces. However, it is often less clear
how to decompose these various forces into components that accurately reflect
the underlying biology. Here, we present several issues that arise in the definition
and interpretation of selection and selection coefficients, focusing on insights
gained through the examination of selection coefficients in multilocus notation.
Using this notation, we discuss how its flexibility-which allows different biological
units to be identified as targets of selection-is reflected in the interpretation
of the coefficients that the notation generates. In many situations, it can be
difficult to agree on whether loci can be considered to be under "direct"
versus "indirect" selection, or to quantify this selection. We present
arguments for what the terms direct and indirect selection might best encompass,
considering a range of issues, from viability and sexual selection to kin selection.
We show how multilocus notation can discriminate between direct and indirect selection,
and describe when it can do so.
author:
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Maria
full_name: Servedio, Maria
last_name: Servedio
citation:
ama: Barton NH, Servedio M. The interpretation of selection coefficients. Evolution.
2015;69(5):1101-1112. doi:10.1111/evo.12641
apa: Barton, N. H., & Servedio, M. (2015). The interpretation of selection coefficients.
Evolution. Wiley. https://doi.org/10.1111/evo.12641
chicago: Barton, Nicholas H, and Maria Servedio. “The Interpretation of Selection
Coefficients.” Evolution. Wiley, 2015. https://doi.org/10.1111/evo.12641.
ieee: N. H. Barton and M. Servedio, “The interpretation of selection coefficients,”
Evolution, vol. 69, no. 5. Wiley, pp. 1101–1112, 2015.
ista: Barton NH, Servedio M. 2015. The interpretation of selection coefficients.
Evolution. 69(5), 1101–1112.
mla: Barton, Nicholas H., and Maria Servedio. “The Interpretation of Selection Coefficients.”
Evolution, vol. 69, no. 5, Wiley, 2015, pp. 1101–12, doi:10.1111/evo.12641.
short: N.H. Barton, M. Servedio, Evolution 69 (2015) 1101–1112.
date_created: 2018-12-11T11:52:29Z
date_published: 2015-03-19T00:00:00Z
date_updated: 2021-01-12T06:51:20Z
day: '19'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1111/evo.12641
ec_funded: 1
file:
- access_level: open_access
checksum: fd8d23f476bc194419929b72ca265c02
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:10:34Z
date_updated: 2020-07-14T12:45:00Z
file_id: '4822'
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file_size: 188872
relation: main_file
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checksum: b774911e70044641d556e258efcb52ef
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:10:35Z
date_updated: 2020-07-14T12:45:00Z
file_id: '4823'
file_name: IST-2016-560-v1+2_Interpreting_ML_coefficients_11.2.15_mainText.pdf
file_size: 577415
relation: main_file
file_date_updated: 2020-07-14T12:45:00Z
has_accepted_license: '1'
intvolume: ' 69'
issue: '5'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Submitted Version
page: 1101 - 1112
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Evolution
publication_status: published
publisher: Wiley
publist_id: '5656'
pubrep_id: '560'
quality_controlled: '1'
scopus_import: 1
status: public
title: The interpretation of selection coefficients
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 69
year: '2015'
...
---
_id: '1542'
abstract:
- lang: eng
text: 'The theory of population genetics and evolutionary computation have been
evolving separately for nearly 30 years. Many results have been independently
obtained in both fields and many others are unique to its respective field. We
aim to bridge this gap by developing a unifying framework for evolutionary processes
that allows both evolutionary algorithms and population genetics models to be
cast in the same formal framework. The framework we present here decomposes the
evolutionary process into its several components in order to facilitate the identification
of similarities between different models. In particular, we propose a classification
of evolutionary operators based on the defining properties of the different components.
We cast several commonly used operators from both fields into this common framework.
Using this, we map different evolutionary and genetic algorithms to different
evolutionary regimes and identify candidates with the most potential for the translation
of results between the fields. This provides a unified description of evolutionary
processes and represents a stepping stone towards new tools and results to both
fields. '
author:
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Golnaz
full_name: Badkobeh, Golnaz
last_name: Badkobeh
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Doğan
full_name: Çörüş, Doğan
last_name: Çörüş
- first_name: Duccuong
full_name: Dang, Duccuong
last_name: Dang
- first_name: Tobias
full_name: Friedrich, Tobias
last_name: Friedrich
- first_name: Per
full_name: Lehre, Per
last_name: Lehre
- first_name: Dirk
full_name: Sudholt, Dirk
last_name: Sudholt
- first_name: Andrew
full_name: Sutton, Andrew
last_name: Sutton
- first_name: Barbora
full_name: Trubenova, Barbora
id: 42302D54-F248-11E8-B48F-1D18A9856A87
last_name: Trubenova
orcid: 0000-0002-6873-2967
citation:
ama: Paixao T, Badkobeh G, Barton NH, et al. Toward a unifying framework for evolutionary
processes. Journal of Theoretical Biology. 2015;383:28-43. doi:10.1016/j.jtbi.2015.07.011
apa: Paixao, T., Badkobeh, G., Barton, N. H., Çörüş, D., Dang, D., Friedrich, T.,
… Trubenova, B. (2015). Toward a unifying framework for evolutionary processes.
Journal of Theoretical Biology. Elsevier. https://doi.org/10.1016/j.jtbi.2015.07.011
chicago: Paixao, Tiago, Golnaz Badkobeh, Nicholas H Barton, Doğan Çörüş, Duccuong
Dang, Tobias Friedrich, Per Lehre, Dirk Sudholt, Andrew Sutton, and Barbora Trubenova.
“Toward a Unifying Framework for Evolutionary Processes.” Journal of Theoretical
Biology. Elsevier, 2015. https://doi.org/10.1016/j.jtbi.2015.07.011.
ieee: T. Paixao et al., “Toward a unifying framework for evolutionary processes,”
Journal of Theoretical Biology, vol. 383. Elsevier, pp. 28–43, 2015.
ista: Paixao T, Badkobeh G, Barton NH, Çörüş D, Dang D, Friedrich T, Lehre P, Sudholt
D, Sutton A, Trubenova B. 2015. Toward a unifying framework for evolutionary processes. Journal
of Theoretical Biology. 383, 28–43.
mla: Paixao, Tiago, et al. “Toward a Unifying Framework for Evolutionary Processes.”
Journal of Theoretical Biology, vol. 383, Elsevier, 2015, pp. 28–43, doi:10.1016/j.jtbi.2015.07.011.
short: T. Paixao, G. Badkobeh, N.H. Barton, D. Çörüş, D. Dang, T. Friedrich, P.
Lehre, D. Sudholt, A. Sutton, B. Trubenova, Journal of Theoretical Biology 383
(2015) 28–43.
date_created: 2018-12-11T11:52:37Z
date_published: 2015-10-21T00:00:00Z
date_updated: 2021-01-12T06:51:29Z
day: '21'
ddc:
- '570'
department:
- _id: NiBa
- _id: CaGu
doi: 10.1016/j.jtbi.2015.07.011
ec_funded: 1
file:
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checksum: 33b60ecfea60764756a9ee9df5eb65ca
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:16:53Z
date_updated: 2020-07-14T12:45:01Z
file_id: '5244'
file_name: IST-2016-483-v1+1_1-s2.0-S0022519315003409-main.pdf
file_size: 595307
relation: main_file
file_date_updated: 2020-07-14T12:45:01Z
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language:
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month: '10'
oa: 1
oa_version: Published Version
page: 28 - 43
project:
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: ' Journal of Theoretical Biology'
publication_status: published
publisher: Elsevier
publist_id: '5629'
pubrep_id: '483'
quality_controlled: '1'
scopus_import: 1
status: public
title: Toward a unifying framework for evolutionary processes
tmp:
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legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
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volume: 383
year: '2015'
...
---
_id: '1666'
abstract:
- lang: eng
text: Evolution of gene regulation is crucial for our understanding of the phenotypic
differences between species, populations and individuals. Sequence-specific binding
of transcription factors to the regulatory regions on the DNA is a key regulatory
mechanism that determines gene expression and hence heritable phenotypic variation.
We use a biophysical model for directional selection on gene expression to estimate
the rates of gain and loss of transcription factor binding sites (TFBS) in finite
populations under both point and insertion/deletion mutations. Our results show
that these rates are typically slow for a single TFBS in an isolated DNA region,
unless the selection is extremely strong. These rates decrease drastically with
increasing TFBS length or increasingly specific protein-DNA interactions, making
the evolution of sites longer than ∼ 10 bp unlikely on typical eukaryotic speciation
timescales. Similarly, evolution converges to the stationary distribution of binding
sequences very slowly, making the equilibrium assumption questionable. The availability
of longer regulatory sequences in which multiple binding sites can evolve simultaneously,
the presence of “pre-sites” or partially decayed old sites in the initial sequence,
and biophysical cooperativity between transcription factors, can all facilitate
gain of TFBS and reconcile theoretical calculations with timescales inferred from
comparative genomics.
author:
- first_name: Murat
full_name: Tugrul, Murat
id: 37C323C6-F248-11E8-B48F-1D18A9856A87
last_name: Tugrul
orcid: 0000-0002-8523-0758
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
citation:
ama: Tugrul M, Paixao T, Barton NH, Tkačik G. Dynamics of transcription factor binding
site evolution. PLoS Genetics. 2015;11(11). doi:10.1371/journal.pgen.1005639
apa: Tugrul, M., Paixao, T., Barton, N. H., & Tkačik, G. (2015). Dynamics of
transcription factor binding site evolution. PLoS Genetics. Public Library
of Science. https://doi.org/10.1371/journal.pgen.1005639
chicago: Tugrul, Murat, Tiago Paixao, Nicholas H Barton, and Gašper Tkačik. “Dynamics
of Transcription Factor Binding Site Evolution.” PLoS Genetics. Public
Library of Science, 2015. https://doi.org/10.1371/journal.pgen.1005639.
ieee: M. Tugrul, T. Paixao, N. H. Barton, and G. Tkačik, “Dynamics of transcription
factor binding site evolution,” PLoS Genetics, vol. 11, no. 11. Public
Library of Science, 2015.
ista: Tugrul M, Paixao T, Barton NH, Tkačik G. 2015. Dynamics of transcription factor
binding site evolution. PLoS Genetics. 11(11).
mla: Tugrul, Murat, et al. “Dynamics of Transcription Factor Binding Site Evolution.”
PLoS Genetics, vol. 11, no. 11, Public Library of Science, 2015, doi:10.1371/journal.pgen.1005639.
short: M. Tugrul, T. Paixao, N.H. Barton, G. Tkačik, PLoS Genetics 11 (2015).
date_created: 2018-12-11T11:53:21Z
date_published: 2015-11-06T00:00:00Z
date_updated: 2023-09-07T11:53:49Z
day: '06'
ddc:
- '576'
department:
- _id: NiBa
- _id: CaGu
- _id: GaTk
doi: 10.1371/journal.pgen.1005639
ec_funded: 1
file:
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checksum: a4e72fca5ccf40ddacf4d08c8e46b554
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:07:58Z
date_updated: 2020-07-14T12:45:10Z
file_id: '4657'
file_name: IST-2016-463-v1+1_journal.pgen.1005639.pdf
file_size: 2580778
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file_date_updated: 2020-07-14T12:45:10Z
has_accepted_license: '1'
intvolume: ' 11'
issue: '11'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: PLoS Genetics
publication_status: published
publisher: Public Library of Science
publist_id: '5483'
pubrep_id: '463'
quality_controlled: '1'
related_material:
record:
- id: '9712'
relation: research_data
status: public
- id: '1131'
relation: dissertation_contains
status: public
scopus_import: 1
status: public
title: Dynamics of transcription factor binding site evolution
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 11
year: '2015'
...
---
_id: '1681'
abstract:
- lang: eng
text: In many social situations, individuals endeavor to find the single best possible
partner, but are constrained to evaluate the candidates in sequence. Examples
include the search for mates, economic partnerships, or any other long-term ties
where the choice to interact involves two parties. Surprisingly, however, previous
theoretical work on mutual choice problems focuses on finding equilibrium solutions,
while ignoring the evolutionary dynamics of decisions. Empirically, this may be
of high importance, as some equilibrium solutions can never be reached unless
the population undergoes radical changes and a sufficient number of individuals
change their decisions simultaneously. To address this question, we apply a mutual
choice sequential search problem in an evolutionary game-theoretical model that
allows one to find solutions that are favored by evolution. As an example, we
study the influence of sequential search on the evolutionary dynamics of cooperation.
For this, we focus on the classic snowdrift game and the prisoner’s dilemma game.
article_processing_charge: No
article_type: original
author:
- first_name: Tadeas
full_name: Priklopil, Tadeas
id: 3C869AA0-F248-11E8-B48F-1D18A9856A87
last_name: Priklopil
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
citation:
ama: Priklopil T, Chatterjee K. Evolution of decisions in population games with
sequentially searching individuals. Games. 2015;6(4):413-437. doi:10.3390/g6040413
apa: Priklopil, T., & Chatterjee, K. (2015). Evolution of decisions in population
games with sequentially searching individuals. Games. MDPI. https://doi.org/10.3390/g6040413
chicago: Priklopil, Tadeas, and Krishnendu Chatterjee. “Evolution of Decisions in
Population Games with Sequentially Searching Individuals.” Games. MDPI,
2015. https://doi.org/10.3390/g6040413.
ieee: T. Priklopil and K. Chatterjee, “Evolution of decisions in population games
with sequentially searching individuals,” Games, vol. 6, no. 4. MDPI, pp.
413–437, 2015.
ista: Priklopil T, Chatterjee K. 2015. Evolution of decisions in population games
with sequentially searching individuals. Games. 6(4), 413–437.
mla: Priklopil, Tadeas, and Krishnendu Chatterjee. “Evolution of Decisions in Population
Games with Sequentially Searching Individuals.” Games, vol. 6, no. 4, MDPI,
2015, pp. 413–37, doi:10.3390/g6040413.
short: T. Priklopil, K. Chatterjee, Games 6 (2015) 413–437.
date_created: 2018-12-11T11:53:26Z
date_published: 2015-09-29T00:00:00Z
date_updated: 2023-10-17T11:42:52Z
day: '29'
ddc:
- '000'
department:
- _id: NiBa
- _id: KrCh
doi: 10.3390/g6040413
ec_funded: 1
file:
- access_level: open_access
checksum: 912e1acbaf201100f447a43e4d5958bd
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:12:41Z
date_updated: 2020-07-14T12:45:12Z
file_id: '4959'
file_name: IST-2016-448-v1+1_games-06-00413.pdf
file_size: 518832
relation: main_file
file_date_updated: 2020-07-14T12:45:12Z
has_accepted_license: '1'
intvolume: ' 6'
issue: '4'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: 413 - 437
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 25832EC2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S 11407_N23
name: Rigorous Systems Engineering
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '279307'
name: 'Quantitative Graph Games: Theory and Applications'
publication: Games
publication_identifier:
eissn:
- 2073-4336
publication_status: published
publisher: MDPI
publist_id: '5467'
pubrep_id: '448'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Evolution of decisions in population games with sequentially searching individuals
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: '2015'
...
---
_id: '1699'
abstract:
- lang: eng
text: By hybridization and backcrossing, alleles can surmount species boundaries
and be incorporated into the genome of a related species. This introgression of
genes is of particular evolutionary relevance if it involves the transfer of adaptations
between populations. However, any beneficial allele will typically be associated
with other alien alleles that are often deleterious and hamper the introgression
process. In order to describe the introgression of an adaptive allele, we set
up a stochastic model with an explicit genetic makeup of linked and unlinked deleterious
alleles. Based on the theory of reducible multitype branching processes, we derive
a recursive expression for the establishment probability of the beneficial allele
after a single hybridization event. We furthermore study the probability that
slightly deleterious alleles hitchhike to fixation. The key to the analysis is
a split of the process into a stochastic phase in which the advantageous alleles
establishes and a deterministic phase in which it sweeps to fixation. We thereafter
apply the theory to a set of biologically relevant scenarios such as introgression
in the presence of many unlinked or few closely linked deleterious alleles. A
comparison to computer simulations shows that the approximations work well over
a large parameter range.
acknowledgement: This work was made possible with financial support by the Vienna
Science and Technology Fund (WWTF), by the Deutsche Forschungsgemeinschaft (DFG),
Research Unit 1078 Natural selection in structured populations, by the Austrian
Science Fund (FWF) via funding for the Vienna Graduate School for Population Genetics,
and by a “For Women in Science” fellowship (L’Oréal Österreich in cooperation with
the Austrian Commission for UNESCO and the Austrian Academy of Sciences with financial
support from the Federal Ministry for Science and Research Austria).
author:
- first_name: Hildegard
full_name: Uecker, Hildegard
id: 2DB8F68A-F248-11E8-B48F-1D18A9856A87
last_name: Uecker
orcid: 0000-0001-9435-2813
- first_name: Derek
full_name: Setter, Derek
last_name: Setter
- first_name: Joachim
full_name: Hermisson, Joachim
last_name: Hermisson
citation:
ama: Uecker H, Setter D, Hermisson J. Adaptive gene introgression after secondary
contact. Journal of Mathematical Biology. 2015;70(7):1523-1580. doi:10.1007/s00285-014-0802-y
apa: Uecker, H., Setter, D., & Hermisson, J. (2015). Adaptive gene introgression
after secondary contact. Journal of Mathematical Biology. Springer. https://doi.org/10.1007/s00285-014-0802-y
chicago: Uecker, Hildegard, Derek Setter, and Joachim Hermisson. “Adaptive Gene
Introgression after Secondary Contact.” Journal of Mathematical Biology.
Springer, 2015. https://doi.org/10.1007/s00285-014-0802-y.
ieee: H. Uecker, D. Setter, and J. Hermisson, “Adaptive gene introgression after
secondary contact,” Journal of Mathematical Biology, vol. 70, no. 7. Springer,
pp. 1523–1580, 2015.
ista: Uecker H, Setter D, Hermisson J. 2015. Adaptive gene introgression after secondary
contact. Journal of Mathematical Biology. 70(7), 1523–1580.
mla: Uecker, Hildegard, et al. “Adaptive Gene Introgression after Secondary Contact.”
Journal of Mathematical Biology, vol. 70, no. 7, Springer, 2015, pp. 1523–80,
doi:10.1007/s00285-014-0802-y.
short: H. Uecker, D. Setter, J. Hermisson, Journal of Mathematical Biology 70 (2015)
1523–1580.
date_created: 2018-12-11T11:53:32Z
date_published: 2015-06-01T00:00:00Z
date_updated: 2023-02-23T10:10:36Z
day: '01'
ddc:
- '576'
department:
- _id: NiBa
doi: 10.1007/s00285-014-0802-y
file:
- access_level: open_access
checksum: 00e3a67bda05d4cc165b3a48b41ef9ad
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:14:27Z
date_updated: 2020-07-14T12:45:12Z
file_id: '5079'
file_name: IST-2016-458-v1+1_s00285-014-0802-y.pdf
file_size: 1321527
relation: main_file
file_date_updated: 2020-07-14T12:45:12Z
has_accepted_license: '1'
intvolume: ' 70'
issue: '7'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
page: 1523 - 1580
project:
- _id: 25B67606-B435-11E9-9278-68D0E5697425
name: L'OREAL Fellowship
publication: Journal of Mathematical Biology
publication_status: published
publisher: Springer
publist_id: '5442'
pubrep_id: '458'
quality_controlled: '1'
scopus_import: 1
status: public
title: Adaptive gene introgression after secondary contact
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 70
year: '2015'
...
---
_id: '1703'
abstract:
- lang: eng
text: Vegetation clearing and land-use change have depleted many natural plant communities
to the point where restoration is required. A major impediment to the success
of rebuilding complex vegetation communities is having regular access to sufficient
quantities of high-quality seed. Seed-production areas (SPAs) can help generate
this seed, but these must be underpinned by a broad genetic base to maximise the
evolutionary potential of restored populations. However, genetic bottlenecks can
occur at the collection, establishment and production stages in SPAs, requiring
genetic evaluation. This is especially relevant for species that may take many
years before a return on SPA investment is realised. Two recently established
yellow box (Eucalyptus melliodora A.Cunn. ex Schauer, Myrtaceae) SPAs were evaluated
to determine whether genetic bottlenecks had occurred between seed collection
and SPA establishment. No evidence was found to suggest that a significant loss
of genetic diversity had occurred at this stage, although there was a significant
difference in diversity between the two SPAs. Complex population genetic structure
was also observed in the seed used to source the SPAs, with up to eight groups
identified. Plant survival in the SPAs was influenced by seed collection location
but not by SPA location and was not associated with genetic diversity. There were
also no associations between genetic diversity and plant growth. These data highlighted
the importance of chance events when establishing SPAs and indicated that the
two yellow box SPAs are likely to provide genetically diverse seed sources for
future restoration projects, especially by pooling seed from both SPAs.
author:
- first_name: Linda
full_name: Broadhurst, Linda
last_name: Broadhurst
- first_name: Graham
full_name: Fifield, Graham
last_name: Fifield
- first_name: Bindi
full_name: Vanzella, Bindi
last_name: Vanzella
- first_name: Melinda
full_name: Pickup, Melinda
id: 2C78037E-F248-11E8-B48F-1D18A9856A87
last_name: Pickup
orcid: 0000-0001-6118-0541
citation:
ama: Broadhurst L, Fifield G, Vanzella B, Pickup M. An evaluation of the genetic
structure of seed sources and the maintenance of genetic diversity during establishment
of two yellow box (Eucalyptus melliodora) seed-production areas. Australian
Journal of Botany. 2015;63(5):455-466. doi:10.1071/BT15023
apa: Broadhurst, L., Fifield, G., Vanzella, B., & Pickup, M. (2015). An evaluation
of the genetic structure of seed sources and the maintenance of genetic diversity
during establishment of two yellow box (Eucalyptus melliodora) seed-production
areas. Australian Journal of Botany. CSIRO. https://doi.org/10.1071/BT15023
chicago: Broadhurst, Linda, Graham Fifield, Bindi Vanzella, and Melinda Pickup.
“An Evaluation of the Genetic Structure of Seed Sources and the Maintenance of
Genetic Diversity during Establishment of Two Yellow Box (Eucalyptus Melliodora)
Seed-Production Areas.” Australian Journal of Botany. CSIRO, 2015. https://doi.org/10.1071/BT15023.
ieee: L. Broadhurst, G. Fifield, B. Vanzella, and M. Pickup, “An evaluation of the
genetic structure of seed sources and the maintenance of genetic diversity during
establishment of two yellow box (Eucalyptus melliodora) seed-production areas,”
Australian Journal of Botany, vol. 63, no. 5. CSIRO, pp. 455–466, 2015.
ista: Broadhurst L, Fifield G, Vanzella B, Pickup M. 2015. An evaluation of the
genetic structure of seed sources and the maintenance of genetic diversity during
establishment of two yellow box (Eucalyptus melliodora) seed-production areas.
Australian Journal of Botany. 63(5), 455–466.
mla: Broadhurst, Linda, et al. “An Evaluation of the Genetic Structure of Seed Sources
and the Maintenance of Genetic Diversity during Establishment of Two Yellow Box
(Eucalyptus Melliodora) Seed-Production Areas.” Australian Journal of Botany,
vol. 63, no. 5, CSIRO, 2015, pp. 455–66, doi:10.1071/BT15023.
short: L. Broadhurst, G. Fifield, B. Vanzella, M. Pickup, Australian Journal of
Botany 63 (2015) 455–466.
date_created: 2018-12-11T11:53:34Z
date_published: 2015-05-26T00:00:00Z
date_updated: 2021-01-12T06:52:38Z
day: '26'
department:
- _id: NiBa
doi: 10.1071/BT15023
intvolume: ' 63'
issue: '5'
language:
- iso: eng
month: '05'
oa_version: None
page: 455 - 466
publication: Australian Journal of Botany
publication_status: published
publisher: CSIRO
publist_id: '5434'
quality_controlled: '1'
scopus_import: 1
status: public
title: An evaluation of the genetic structure of seed sources and the maintenance
of genetic diversity during establishment of two yellow box (Eucalyptus melliodora)
seed-production areas
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 63
year: '2015'
...
---
_id: '1809'
abstract:
- lang: eng
text: 'Background: Indirect genetic effects (IGEs) occur when genes expressed in
one individual alter the expression of traits in social partners. Previous studies
focused on the evolutionary consequences and evolutionary dynamics of IGEs, using
equilibrium solutions to predict phenotypes in subsequent generations. However,
whether or not such steady states may be reached may depend on the dynamics of
interactions themselves. Results: In our study, we focus on the dynamics of social
interactions and indirect genetic effects and investigate how they modify phenotypes
over time. Unlike previous IGE studies, we do not analyse evolutionary dynamics;
rather we consider within-individual phenotypic changes, also referred to as phenotypic
plasticity. We analyse iterative interactions, when individuals interact in a
series of discontinuous events, and investigate the stability of steady state
solutions and the dependence on model parameters, such as population size, strength,
and the nature of interactions. We show that for interactions where a feedback
loop occurs, the possible parameter space of interaction strength is fairly limited,
affecting the evolutionary consequences of IGEs. We discuss the implications of
our results for current IGE model predictions and their limitations.'
author:
- first_name: Barbora
full_name: Trubenova, Barbora
id: 42302D54-F248-11E8-B48F-1D18A9856A87
last_name: Trubenova
orcid: 0000-0002-6873-2967
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
- first_name: Reinmar
full_name: Hager, Reinmar
last_name: Hager
citation:
ama: Trubenova B, Novak S, Hager R. Indirect genetic effects and the dynamics of
social interactions. PLoS One. 2015;10(5). doi:10.1371/journal.pone.0126907
apa: Trubenova, B., Novak, S., & Hager, R. (2015). Indirect genetic effects
and the dynamics of social interactions. PLoS One. Public Library of Science.
https://doi.org/10.1371/journal.pone.0126907
chicago: Trubenova, Barbora, Sebastian Novak, and Reinmar Hager. “Indirect Genetic
Effects and the Dynamics of Social Interactions.” PLoS One. Public Library
of Science, 2015. https://doi.org/10.1371/journal.pone.0126907.
ieee: B. Trubenova, S. Novak, and R. Hager, “Indirect genetic effects and the dynamics
of social interactions,” PLoS One, vol. 10, no. 5. Public Library of Science,
2015.
ista: Trubenova B, Novak S, Hager R. 2015. Indirect genetic effects and the dynamics
of social interactions. PLoS One. 10(5).
mla: Trubenova, Barbora, et al. “Indirect Genetic Effects and the Dynamics of Social
Interactions.” PLoS One, vol. 10, no. 5, Public Library of Science, 2015,
doi:10.1371/journal.pone.0126907.
short: B. Trubenova, S. Novak, R. Hager, PLoS One 10 (2015).
date_created: 2018-12-11T11:54:07Z
date_published: 2015-05-18T00:00:00Z
date_updated: 2023-02-23T14:07:48Z
day: '18'
ddc:
- '570'
- '576'
department:
- _id: NiBa
doi: 10.1371/journal.pone.0126907
file:
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date_created: 2018-12-12T10:09:07Z
date_updated: 2020-07-14T12:45:17Z
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intvolume: ' 10'
issue: '5'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
publication: PLoS One
publication_status: published
publisher: Public Library of Science
publist_id: '5299'
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related_material:
record:
- id: '9715'
relation: research_data
status: public
- id: '9772'
relation: research_data
status: public
scopus_import: 1
status: public
title: Indirect genetic effects and the dynamics of social interactions
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 10
year: '2015'
...
---
_id: '1818'
abstract:
- lang: eng
text: 'Why do species not adapt to ever-wider ranges of conditions, gradually expanding
their ecological niche and geographic range? Gene flow across environments has
two conflicting effects: although it increases genetic variation, which is a prerequisite
for adaptation, gene flow may swamp adaptation to local conditions. In 1956, Haldane
proposed that, when the environment varies across space, "swamping"
by gene flow creates a positive feedback between low population size and maladaptation,
leading to a sharp range margin. However, current deterministic theory shows that,
when variance can evolve, there is no such limit. Using simple analytical tools
and simulations, we show that genetic drift can generate a sharp margin to a species''
range, by reducing genetic variance below the level needed for adaptation to spatially
variable conditions. Aided by separation of ecological and evolutionary timescales,
the identified effective dimensionless parameters reveal a simple threshold that
predicts when adaptation at the range margin fails. Two observable parameters
determine the threshold: (i) the effective environmental gradient, which can be
measured by the loss of fitness due to dispersal to a different environment; and
(ii) the efficacy of selection relative to genetic drift. The theory predicts
sharp range margins even in the absence of abrupt changes in the environment.
Furthermore, it implies that gradual worsening of conditions across a species''
habitat may lead to a sudden range fragmentation, when adaptation to a wide span
of conditions within a single species becomes impossible.'
author:
- first_name: Jitka
full_name: Polechova, Jitka
id: 3BBFB084-F248-11E8-B48F-1D18A9856A87
last_name: Polechova
orcid: 0000-0003-0951-3112
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
citation:
ama: Polechova J, Barton NH. Limits to adaptation along environmental gradients.
PNAS. 2015;112(20):6401-6406. doi:10.1073/pnas.1421515112
apa: Polechova, J., & Barton, N. H. (2015). Limits to adaptation along environmental
gradients. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1421515112
chicago: Polechova, Jitka, and Nicholas H Barton. “Limits to Adaptation along Environmental
Gradients.” PNAS. National Academy of Sciences, 2015. https://doi.org/10.1073/pnas.1421515112.
ieee: J. Polechova and N. H. Barton, “Limits to adaptation along environmental gradients,”
PNAS, vol. 112, no. 20. National Academy of Sciences, pp. 6401–6406, 2015.
ista: Polechova J, Barton NH. 2015. Limits to adaptation along environmental gradients.
PNAS. 112(20), 6401–6406.
mla: Polechova, Jitka, and Nicholas H. Barton. “Limits to Adaptation along Environmental
Gradients.” PNAS, vol. 112, no. 20, National Academy of Sciences, 2015,
pp. 6401–06, doi:10.1073/pnas.1421515112.
short: J. Polechova, N.H. Barton, PNAS 112 (2015) 6401–6406.
date_created: 2018-12-11T11:54:11Z
date_published: 2015-05-19T00:00:00Z
date_updated: 2021-01-12T06:53:24Z
day: '19'
department:
- _id: NiBa
doi: 10.1073/pnas.1421515112
ec_funded: 1
external_id:
pmid:
- '25941385'
intvolume: ' 112'
issue: '20'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4443383/
month: '05'
oa: 1
oa_version: Submitted Version
page: 6401 - 6406
pmid: 1
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: PNAS
publication_status: published
publisher: National Academy of Sciences
publist_id: '5288'
quality_controlled: '1'
scopus_import: 1
status: public
title: Limits to adaptation along environmental gradients
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 112
year: '2015'
...
---
_id: '1835'
abstract:
- lang: eng
text: The behaviour of gene regulatory networks (GRNs) is typically analysed using
simulation-based statistical testing-like methods. In this paper, we demonstrate
that we can replace this approach by a formal verification-like method that gives
higher assurance and scalability. We focus on Wagner’s weighted GRN model with
varying weights, which is used in evolutionary biology. In the model, weight parameters
represent the gene interaction strength that may change due to genetic mutations.
For a property of interest, we synthesise the constraints over the parameter space
that represent the set of GRNs satisfying the property. We experimentally show
that our parameter synthesis procedure computes the mutational robustness of GRNs
–an important problem of interest in evolutionary biology– more efficiently than
the classical simulation method. We specify the property in linear temporal logics.
We employ symbolic bounded model checking and SMT solving to compute the space
of GRNs that satisfy the property, which amounts to synthesizing a set of linear
constraints on the weights.
acknowledgement: "SNSF Early Postdoc.Mobility Fellowship, the grant number P2EZP2
148797.\r\n"
alternative_title:
- LNCS
author:
- first_name: Mirco
full_name: Giacobbe, Mirco
id: 3444EA5E-F248-11E8-B48F-1D18A9856A87
last_name: Giacobbe
orcid: 0000-0001-8180-0904
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
- first_name: Ashutosh
full_name: Gupta, Ashutosh
id: 335E5684-F248-11E8-B48F-1D18A9856A87
last_name: Gupta
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000−0002−2985−7724
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Tatjana
full_name: Petrov, Tatjana
id: 3D5811FC-F248-11E8-B48F-1D18A9856A87
last_name: Petrov
orcid: 0000-0002-9041-0905
citation:
ama: Giacobbe M, Guet CC, Gupta A, Henzinger TA, Paixao T, Petrov T. Model checking
gene regulatory networks. 2015;9035:469-483. doi:10.1007/978-3-662-46681-0_47
apa: 'Giacobbe, M., Guet, C. C., Gupta, A., Henzinger, T. A., Paixao, T., &
Petrov, T. (2015). Model checking gene regulatory networks. Presented at the TACAS:
Tools and Algorithms for the Construction and Analysis of Systems, London, United
Kingdom: Springer. https://doi.org/10.1007/978-3-662-46681-0_47'
chicago: Giacobbe, Mirco, Calin C Guet, Ashutosh Gupta, Thomas A Henzinger, Tiago
Paixao, and Tatjana Petrov. “Model Checking Gene Regulatory Networks.” Lecture
Notes in Computer Science. Springer, 2015. https://doi.org/10.1007/978-3-662-46681-0_47.
ieee: M. Giacobbe, C. C. Guet, A. Gupta, T. A. Henzinger, T. Paixao, and T. Petrov,
“Model checking gene regulatory networks,” vol. 9035. Springer, pp. 469–483, 2015.
ista: Giacobbe M, Guet CC, Gupta A, Henzinger TA, Paixao T, Petrov T. 2015. Model
checking gene regulatory networks. 9035, 469–483.
mla: Giacobbe, Mirco, et al. Model Checking Gene Regulatory Networks. Vol.
9035, Springer, 2015, pp. 469–83, doi:10.1007/978-3-662-46681-0_47.
short: M. Giacobbe, C.C. Guet, A. Gupta, T.A. Henzinger, T. Paixao, T. Petrov, 9035
(2015) 469–483.
conference:
end_date: 2015-04-18
location: London, United Kingdom
name: 'TACAS: Tools and Algorithms for the Construction and Analysis of Systems'
start_date: 2015-04-11
date_created: 2018-12-11T11:54:16Z
date_published: 2015-04-01T00:00:00Z
date_updated: 2025-05-28T11:57:04Z
day: '01'
department:
- _id: ToHe
- _id: CaGu
- _id: NiBa
doi: 10.1007/978-3-662-46681-0_47
ec_funded: 1
intvolume: ' 9035'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1410.7704
month: '04'
oa: 1
oa_version: Preprint
page: 469 - 483
project:
- _id: 25EE3708-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '267989'
name: Quantitative Reactive Modeling
- _id: 25832EC2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S 11407_N23
name: Rigorous Systems Engineering
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z211
name: The Wittgenstein Prize
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication_status: published
publisher: Springer
publist_id: '5267'
quality_controlled: '1'
related_material:
record:
- id: '1351'
relation: later_version
status: public
scopus_import: 1
series_title: Lecture Notes in Computer Science
status: public
title: Model checking gene regulatory networks
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 9035
year: '2015'
...
---
_id: '1850'
abstract:
- lang: eng
text: 'Entomopathogenic fungi are potent biocontrol agents that are widely used
against insect pests, many of which are social insects. Nevertheless, theoretical
investigations of their particular life history are scarce. We develop a model
that takes into account the main distinguishing features between traditionally
studied diseases and obligate killing pathogens, like the (biocontrol-relevant)
insect-pathogenic fungi Metarhizium and Beauveria. First, obligate killing entomopathogenic
fungi produce new infectious particles (conidiospores) only after host death and
not yet on the living host. Second, the killing rates of entomopathogenic fungi
depend strongly on the initial exposure dosage, thus we explicitly consider the
pathogen load of individual hosts. Further, we make the model applicable not only
to solitary host species, but also to group living species by incorporating social
interactions between hosts, like the collective disease defences of insect societies.
Our results identify the optimal killing rate for the pathogen that minimises
its invasion threshold. Furthermore, we find that the rate of contact between
hosts has an ambivalent effect: dense interaction networks between individuals
are considered to facilitate disease outbreaks because of increased pathogen transmission.
In social insects, this is compensated by their collective disease defences, i.e.,
social immunity. For the type of pathogens considered here, we show that even
without social immunity, high contact rates between live individuals dilute the
pathogen in the host colony and hence can reduce individual pathogen loads below
disease-causing levels.'
author:
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
orcid: 0000-0002-2519-824X
- first_name: Sylvia
full_name: Cremer, Sylvia
id: 2F64EC8C-F248-11E8-B48F-1D18A9856A87
last_name: Cremer
orcid: 0000-0002-2193-3868
citation:
ama: 'Novak S, Cremer S. Fungal disease dynamics in insect societies: Optimal killing
rates and the ambivalent effect of high social interaction rates. Journal of
Theoretical Biology. 2015;372(5):54-64. doi:10.1016/j.jtbi.2015.02.018'
apa: 'Novak, S., & Cremer, S. (2015). Fungal disease dynamics in insect societies:
Optimal killing rates and the ambivalent effect of high social interaction rates.
Journal of Theoretical Biology. Elsevier. https://doi.org/10.1016/j.jtbi.2015.02.018'
chicago: 'Novak, Sebastian, and Sylvia Cremer. “Fungal Disease Dynamics in Insect
Societies: Optimal Killing Rates and the Ambivalent Effect of High Social Interaction
Rates.” Journal of Theoretical Biology. Elsevier, 2015. https://doi.org/10.1016/j.jtbi.2015.02.018.'
ieee: 'S. Novak and S. Cremer, “Fungal disease dynamics in insect societies: Optimal
killing rates and the ambivalent effect of high social interaction rates,” Journal
of Theoretical Biology, vol. 372, no. 5. Elsevier, pp. 54–64, 2015.'
ista: 'Novak S, Cremer S. 2015. Fungal disease dynamics in insect societies: Optimal
killing rates and the ambivalent effect of high social interaction rates. Journal
of Theoretical Biology. 372(5), 54–64.'
mla: 'Novak, Sebastian, and Sylvia Cremer. “Fungal Disease Dynamics in Insect Societies:
Optimal Killing Rates and the Ambivalent Effect of High Social Interaction Rates.”
Journal of Theoretical Biology, vol. 372, no. 5, Elsevier, 2015, pp. 54–64,
doi:10.1016/j.jtbi.2015.02.018.'
short: S. Novak, S. Cremer, Journal of Theoretical Biology 372 (2015) 54–64.
date_created: 2018-12-11T11:54:21Z
date_published: 2015-05-07T00:00:00Z
date_updated: 2025-05-28T11:42:49Z
day: '07'
ddc:
- '576'
department:
- _id: NiBa
- _id: SyCr
doi: 10.1016/j.jtbi.2015.02.018
ec_funded: 1
file:
- access_level: open_access
checksum: 3c0dcacc900bc45cc65a453dfda4ca43
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:18:07Z
date_updated: 2020-07-14T12:45:19Z
file_id: '5326'
file_name: IST-2015-329-v1+1_manuscript.pdf
file_size: 1546914
relation: main_file
file_date_updated: 2020-07-14T12:45:19Z
has_accepted_license: '1'
intvolume: ' 372'
issue: '5'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Submitted Version
page: 54 - 64
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
- _id: 25DC711C-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '243071'
name: 'Social Vaccination in Ant Colonies: from Individual Mechanisms to Society
Effects'
publication: Journal of Theoretical Biology
publication_status: published
publisher: Elsevier
publist_id: '5251'
pubrep_id: '329'
quality_controlled: '1'
scopus_import: 1
status: public
title: 'Fungal disease dynamics in insect societies: Optimal killing rates and the
ambivalent effect of high social interaction rates'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 372
year: '2015'
...