---
_id: '5757'
abstract:
- lang: eng
text: "File S1. Variant Calling Format file of the ingroup: 197 haploid sequences
of D. melanogaster from Zambia (Africa) aligned to the D. melanogaster 5.57 reference
genome.\r\n\r\nFile S2. Variant Calling Format file of the outgroup: 1 haploid
sequence of D. simulans aligned to the D. melanogaster 5.57 reference genome.\r\n\r\nFile
S3. Annotations of each transcript in coding regions with SNPeff: Ps (# of synonymous
polymorphic sites); Pn (# of non-synonymous polymorphic sites); Ds (# of synonymous
divergent sites); Dn (# of non-synonymous divergent sites); DoS; ⍺ MK . All variants
were included.\r\n\r\nFile S4. Annotations of each transcript in non-coding regions
with SNPeff: Ps (# of synonymous polymorphic sites); Pu (# of UTR polymorphic
sites); Ds (# of synonymous divergent sites); Du (# of UTR divergent sites); DoS;
⍺ MK . All variants were included.\r\n\r\nFile S5. Annotations of each transcript
in coding regions with SNPGenie: Ps (# of synonymous polymorphic sites); πs (synonymous
diversity); Ss_p (total # of synonymous sites in the polymorphism data); Pn (#
of non-synonymous polymorphic sites); πn (non-synonymous diversity); Sn_p (total
# of non-synonymous sites in the polymorphism data); Ds (# of synonymous divergent
sites); ks (synonymous evolutionary rate); Ss_d (total # of synonymous sites in
the divergence data); Dn (# of non-synonymous divergent sites); kn (non-synonymous
evolutionary rate); Sn_d (total # of non-\r\nsynonymous sites in the divergence
data); DoS; ⍺ MK . All variants were included.\r\n\r\nFile S6. Gene expression
values (RPKM summed over all transcripts) for each sample. Values were quantile-normalized
across all samples.\r\n\r\nFile S7. Final dataset with all covariates, ⍺ MK ,
ωA MK and DoS for coding sites, excluding variants below 5% frequency.\r\n\r\nFile
S8. Final dataset with all covariates, ⍺ MK , ωA MK and DoS for non-coding sites,
excluding variants below 5%\r\nfrequency.\r\n\r\nFile S9. Final dataset with all
covariates, ⍺ EWK , ωA EWK and deleterious SFS for coding sites obtained with
the Eyre-Walker and Keightley method on binned data and using all variants."
article_processing_charge: No
author:
- first_name: Christelle
full_name: Fraisse, Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
orcid: 0000-0001-8441-5075
citation:
ama: Fraisse C. Supplementary Files for “Pleiotropy modulates the efficacy of selection
in Drosophila melanogaster.” 2018. doi:10.15479/at:ista:/5757
apa: Fraisse, C. (2018). Supplementary Files for “Pleiotropy modulates the efficacy
of selection in Drosophila melanogaster.” Institute of Science and Technology
Austria. https://doi.org/10.15479/at:ista:/5757
chicago: Fraisse, Christelle. “Supplementary Files for ‘Pleiotropy Modulates the
Efficacy of Selection in Drosophila Melanogaster.’” Institute of Science and Technology
Austria, 2018. https://doi.org/10.15479/at:ista:/5757.
ieee: C. Fraisse, “Supplementary Files for ‘Pleiotropy modulates the efficacy of
selection in Drosophila melanogaster.’” Institute of Science and Technology Austria,
2018.
ista: Fraisse C. 2018. Supplementary Files for ‘Pleiotropy modulates the efficacy
of selection in Drosophila melanogaster’, Institute of Science and Technology
Austria, 10.15479/at:ista:/5757.
mla: Fraisse, Christelle. Supplementary Files for “Pleiotropy Modulates the Efficacy
of Selection in Drosophila Melanogaster.” Institute of Science and Technology
Austria, 2018, doi:10.15479/at:ista:/5757.
short: C. Fraisse, (2018).
contributor:
- first_name: Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
- first_name: Gemma
id: 33AB266C-F248-11E8-B48F-1D18A9856A87
last_name: Puixeu Sala
- first_name: Beatriz
id: 49E1C5C6-F248-11E8-B48F-1D18A9856A87
last_name: Vicoso
orcid: 0000-0002-4579-8306
date_created: 2018-12-19T14:22:35Z
date_published: 2018-12-19T00:00:00Z
date_updated: 2024-02-21T13:59:18Z
day: '19'
ddc:
- '576'
department:
- _id: BeVi
- _id: NiBa
doi: 10.15479/at:ista:/5757
ec_funded: 1
file:
- access_level: open_access
checksum: aed7ee9ca3f4dc07d8a66945f68e13cd
content_type: application/zip
creator: cfraisse
date_created: 2018-12-19T14:19:52Z
date_updated: 2020-07-14T12:47:11Z
file_id: '5758'
file_name: FileS1.zip
file_size: 369837892
relation: main_file
- access_level: open_access
checksum: 3592e467b4d8206650860b612d6e12f3
content_type: application/zip
creator: cfraisse
date_created: 2018-12-19T14:19:49Z
date_updated: 2020-07-14T12:47:11Z
file_id: '5759'
file_name: FileS2.zip
file_size: 84856909
relation: main_file
- access_level: open_access
checksum: c37ac5d5437c457338afc128c1240655
content_type: text/plain
creator: cfraisse
date_created: 2018-12-19T14:19:49Z
date_updated: 2020-07-14T12:47:11Z
file_id: '5760'
file_name: FileS3.txt
file_size: 881133
relation: main_file
- access_level: open_access
checksum: 943dfd14da61817441e33e3e3cb8cdb9
content_type: text/plain
creator: cfraisse
date_created: 2018-12-19T14:19:49Z
date_updated: 2020-07-14T12:47:11Z
file_id: '5761'
file_name: FileS4.txt
file_size: 883742
relation: main_file
- access_level: open_access
checksum: 1c669b6c4690ec1bbca3e2da9f566d17
content_type: text/plain
creator: cfraisse
date_created: 2018-12-19T14:19:49Z
date_updated: 2020-07-14T12:47:11Z
file_id: '5762'
file_name: FileS5.txt
file_size: 2495437
relation: main_file
- access_level: open_access
checksum: f40f661b987ca6fb6b47f650cbbb04e6
content_type: text/plain
creator: cfraisse
date_created: 2018-12-19T14:19:50Z
date_updated: 2020-07-14T12:47:11Z
file_id: '5763'
file_name: FileS6.txt
file_size: 15913457
relation: main_file
- access_level: open_access
checksum: 25f41e5b8a075669c6c88d4c6713bf6f
content_type: text/plain
creator: cfraisse
date_created: 2018-12-19T14:19:50Z
date_updated: 2020-07-14T12:47:11Z
file_id: '5764'
file_name: FileS7.txt
file_size: 2584120
relation: main_file
- access_level: open_access
checksum: f6c0bd3e63e14ddf5445bd69b43a9152
content_type: text/plain
creator: cfraisse
date_created: 2018-12-19T14:19:50Z
date_updated: 2020-07-14T12:47:11Z
file_id: '5765'
file_name: FileS8.txt
file_size: 2446059
relation: main_file
- access_level: open_access
checksum: 0fe7a58a030b11bf3b9c8ff7a7addcae
content_type: text/plain
creator: cfraisse
date_created: 2018-12-19T14:19:50Z
date_updated: 2020-07-14T12:47:11Z
file_id: '5766'
file_name: FileS9.txt
file_size: 100737
relation: main_file
file_date_updated: 2020-07-14T12:47:11Z
has_accepted_license: '1'
keyword:
- (mal)adaptation
- pleiotropy
- selective constraint
- evo-devo
- gene expression
- Drosophila melanogaster
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
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '6089'
relation: research_paper
status: public
status: public
title: Supplementary Files for "Pleiotropy modulates the efficacy of selection in
Drosophila melanogaster"
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2018'
...
---
_id: '607'
abstract:
- lang: eng
text: We study the Fokker-Planck equation derived in the large system limit of the
Markovian process describing the dynamics of quantitative traits. The Fokker-Planck
equation is posed on a bounded domain and its transport and diffusion coefficients
vanish on the domain's boundary. We first argue that, despite this degeneracy,
the standard no-flux boundary condition is valid. We derive the weak formulation
of the problem and prove the existence and uniqueness of its solutions by constructing
the corresponding contraction semigroup on a suitable function space. Then, we
prove that for the parameter regime with high enough mutation rate the problem
exhibits a positive spectral gap, which implies exponential convergence to equilibrium.Next,
we provide a simple derivation of the so-called Dynamic Maximum Entropy (DynMaxEnt)
method for approximation of observables (moments) of the Fokker-Planck solution,
which can be interpreted as a nonlinear Galerkin approximation. The limited applicability
of the DynMaxEnt method inspires us to introduce its modified version that is
valid for the whole range of admissible parameters. Finally, we present several
numerical experiments to demonstrate the performance of both the original and
modified DynMaxEnt methods. We observe that in the parameter regimes where both
methods are valid, the modified one exhibits slightly better approximation properties
compared to the original one.
acknowledgement: "JH and PM are funded by KAUST baseline funds and grant no. 1000000193
.\r\nWe thank Nicholas Barton (IST Austria) for his useful comments and suggestions.
\r\n\r\n"
article_processing_charge: No
arxiv: 1
author:
- first_name: Katarina
full_name: Bodova, Katarina
id: 2BA24EA0-F248-11E8-B48F-1D18A9856A87
last_name: Bodova
orcid: 0000-0002-7214-0171
- first_name: Jan
full_name: Haskovec, Jan
last_name: Haskovec
- first_name: Peter
full_name: Markowich, Peter
last_name: Markowich
citation:
ama: 'Bodova K, Haskovec J, Markowich P. Well posedness and maximum entropy approximation
for the dynamics of quantitative traits. Physica D: Nonlinear Phenomena.
2018;376-377:108-120. doi:10.1016/j.physd.2017.10.015'
apa: 'Bodova, K., Haskovec, J., & Markowich, P. (2018). Well posedness and maximum
entropy approximation for the dynamics of quantitative traits. Physica D: Nonlinear
Phenomena. Elsevier. https://doi.org/10.1016/j.physd.2017.10.015'
chicago: 'Bodova, Katarina, Jan Haskovec, and Peter Markowich. “Well Posedness and
Maximum Entropy Approximation for the Dynamics of Quantitative Traits.” Physica
D: Nonlinear Phenomena. Elsevier, 2018. https://doi.org/10.1016/j.physd.2017.10.015.'
ieee: 'K. Bodova, J. Haskovec, and P. Markowich, “Well posedness and maximum entropy
approximation for the dynamics of quantitative traits,” Physica D: Nonlinear
Phenomena, vol. 376–377. Elsevier, pp. 108–120, 2018.'
ista: 'Bodova K, Haskovec J, Markowich P. 2018. Well posedness and maximum entropy
approximation for the dynamics of quantitative traits. Physica D: Nonlinear Phenomena.
376–377, 108–120.'
mla: 'Bodova, Katarina, et al. “Well Posedness and Maximum Entropy Approximation
for the Dynamics of Quantitative Traits.” Physica D: Nonlinear Phenomena,
vol. 376–377, Elsevier, 2018, pp. 108–20, doi:10.1016/j.physd.2017.10.015.'
short: 'K. Bodova, J. Haskovec, P. Markowich, Physica D: Nonlinear Phenomena 376–377
(2018) 108–120.'
date_created: 2018-12-11T11:47:28Z
date_published: 2018-08-01T00:00:00Z
date_updated: 2023-09-19T10:38:34Z
day: '01'
department:
- _id: NiBa
- _id: GaTk
doi: 10.1016/j.physd.2017.10.015
external_id:
arxiv:
- '1704.08757'
isi:
- '000437962900012'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1704.08757
month: '08'
oa: 1
oa_version: Submitted Version
page: 108-120
publication: 'Physica D: Nonlinear Phenomena'
publication_status: published
publisher: Elsevier
publist_id: '7198'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Well posedness and maximum entropy approximation for the dynamics of quantitative
traits
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 376-377
year: '2018'
...
---
_id: '139'
abstract:
- lang: eng
text: 'Genome-scale diversity data are increasingly available in a variety of biological
systems, and can be used to reconstruct the past evolutionary history of species
divergence. However, extracting the full demographic information from these data
is not trivial, and requires inferential methods that account for the diversity
of coalescent histories throughout the genome. Here, we evaluate the potential
and limitations of one such approach. We reexamine a well-known system of mussel
sister species, using the joint site frequency spectrum (jSFS) of synonymousmutations
computed either fromexome capture or RNA-seq, in an Approximate Bayesian Computation
(ABC) framework. We first assess the best sampling strategy (number of: individuals,
loci, and bins in the jSFS), and show that model selection is robust to variation
in the number of individuals and loci. In contrast, different binning choices
when summarizing the jSFS, strongly affect the results: including classes of low
and high frequency shared polymorphisms can more effectively reveal recent migration
events. We then take advantage of the flexibility of ABC to compare more realistic
models of speciation, including variation in migration rates through time (i.e.,
periodic connectivity) and across genes (i.e., genome-wide heterogeneity in migration
rates). We show that these models were consistently selected as the most probable,
suggesting that mussels have experienced a complex history of gene flow during
divergence and that the species boundary is semi-permeable. Our work provides
a comprehensive evaluation of ABC demographic inference in mussels based on the
coding jSFS, and supplies guidelines for employing different sequencing techniques
and sampling strategies. We emphasize, perhaps surprisingly, that inferences are
less limited by the volume of data, than by the way in which they are analyzed.'
article_number: '30083438'
article_processing_charge: No
author:
- first_name: Christelle
full_name: Fraisse, Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
orcid: 0000-0001-8441-5075
- first_name: Camille
full_name: Roux, Camille
last_name: Roux
- first_name: Pierre
full_name: Gagnaire, Pierre
last_name: Gagnaire
- first_name: Jonathan
full_name: Romiguier, Jonathan
last_name: Romiguier
- first_name: Nicolas
full_name: Faivre, Nicolas
last_name: Faivre
- first_name: John
full_name: Welch, John
last_name: Welch
- first_name: Nicolas
full_name: Bierne, Nicolas
last_name: Bierne
citation:
ama: 'Fraisse C, Roux C, Gagnaire P, et al. The divergence history of European blue
mussel species reconstructed from Approximate Bayesian Computation: The effects
of sequencing techniques and sampling strategies. PeerJ. 2018;2018(7).
doi:10.7717/peerj.5198'
apa: 'Fraisse, C., Roux, C., Gagnaire, P., Romiguier, J., Faivre, N., Welch, J.,
& Bierne, N. (2018). The divergence history of European blue mussel species
reconstructed from Approximate Bayesian Computation: The effects of sequencing
techniques and sampling strategies. PeerJ. PeerJ. https://doi.org/10.7717/peerj.5198'
chicago: 'Fraisse, Christelle, Camille Roux, Pierre Gagnaire, Jonathan Romiguier,
Nicolas Faivre, John Welch, and Nicolas Bierne. “The Divergence History of European
Blue Mussel Species Reconstructed from Approximate Bayesian Computation: The Effects
of Sequencing Techniques and Sampling Strategies.” PeerJ. PeerJ, 2018.
https://doi.org/10.7717/peerj.5198.'
ieee: 'C. Fraisse et al., “The divergence history of European blue mussel
species reconstructed from Approximate Bayesian Computation: The effects of sequencing
techniques and sampling strategies,” PeerJ, vol. 2018, no. 7. PeerJ, 2018.'
ista: 'Fraisse C, Roux C, Gagnaire P, Romiguier J, Faivre N, Welch J, Bierne N.
2018. The divergence history of European blue mussel species reconstructed from
Approximate Bayesian Computation: The effects of sequencing techniques and sampling
strategies. PeerJ. 2018(7), 30083438.'
mla: 'Fraisse, Christelle, et al. “The Divergence History of European Blue Mussel
Species Reconstructed from Approximate Bayesian Computation: The Effects of Sequencing
Techniques and Sampling Strategies.” PeerJ, vol. 2018, no. 7, 30083438,
PeerJ, 2018, doi:10.7717/peerj.5198.'
short: C. Fraisse, C. Roux, P. Gagnaire, J. Romiguier, N. Faivre, J. Welch, N. Bierne,
PeerJ 2018 (2018).
date_created: 2018-12-11T11:44:50Z
date_published: 2018-07-30T00:00:00Z
date_updated: 2023-10-17T12:25:28Z
day: '30'
ddc:
- '576'
department:
- _id: BeVi
- _id: NiBa
doi: 10.7717/peerj.5198
external_id:
isi:
- '000440484800002'
file:
- access_level: open_access
checksum: 7d55ae22598a1c70759cd671600cff53
content_type: application/pdf
creator: dernst
date_created: 2018-12-18T09:42:11Z
date_updated: 2020-07-14T12:44:48Z
file_id: '5739'
file_name: 2018_PeerJ_Fraisse.pdf
file_size: 1480792
relation: main_file
file_date_updated: 2020-07-14T12:44:48Z
has_accepted_license: '1'
intvolume: ' 2018'
isi: 1
issue: '7'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
publication: PeerJ
publication_status: published
publisher: PeerJ
publist_id: '7784'
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'The divergence history of European blue mussel species reconstructed from
Approximate Bayesian Computation: The effects of sequencing techniques and sampling
strategies'
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: 2018
year: '2018'
...
---
_id: '9813'
abstract:
- lang: eng
text: 'File S1 contains figures that clarify the following features: (i) effect
of population size on the average number/frequency of SI classes, (ii) changes
in the minimal completeness deficit in time for a single class, and (iii) diversification
diagrams for all studied pathways, including the summary figure for k = 8. File
S2 contains the code required for a stochastic simulation of the SLF system with
an example. This file also includes the output in the form of figures and tables.'
article_processing_charge: No
author:
- first_name: Katarína
full_name: Bod'ová, Katarína
id: 2BA24EA0-F248-11E8-B48F-1D18A9856A87
last_name: Bod'ová
orcid: 0000-0002-7214-0171
- first_name: Tadeas
full_name: Priklopil, Tadeas
id: 3C869AA0-F248-11E8-B48F-1D18A9856A87
last_name: Priklopil
- first_name: David
full_name: Field, David
id: 419049E2-F248-11E8-B48F-1D18A9856A87
last_name: Field
orcid: 0000-0002-4014-8478
- 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: Melinda
full_name: Pickup, Melinda
id: 2C78037E-F248-11E8-B48F-1D18A9856A87
last_name: Pickup
orcid: 0000-0001-6118-0541
citation:
ama: Bodova K, Priklopil T, Field D, Barton NH, Pickup M. Supplemental material
for Bodova et al., 2018. 2018. doi:10.25386/genetics.6148304.v1
apa: Bodova, K., Priklopil, T., Field, D., Barton, N. H., & Pickup, M. (2018).
Supplemental material for Bodova et al., 2018. Genetics Society of America. https://doi.org/10.25386/genetics.6148304.v1
chicago: Bodova, Katarina, Tadeas Priklopil, David Field, Nicholas H Barton, and
Melinda Pickup. “Supplemental Material for Bodova et Al., 2018.” Genetics Society
of America, 2018. https://doi.org/10.25386/genetics.6148304.v1.
ieee: K. Bodova, T. Priklopil, D. Field, N. H. Barton, and M. Pickup, “Supplemental
material for Bodova et al., 2018.” Genetics Society of America, 2018.
ista: Bodova K, Priklopil T, Field D, Barton NH, Pickup M. 2018. Supplemental material
for Bodova et al., 2018, Genetics Society of America, 10.25386/genetics.6148304.v1.
mla: Bodova, Katarina, et al. Supplemental Material for Bodova et Al., 2018.
Genetics Society of America, 2018, doi:10.25386/genetics.6148304.v1.
short: K. Bodova, T. Priklopil, D. Field, N.H. Barton, M. Pickup, (2018).
date_created: 2021-08-06T13:04:32Z
date_published: 2018-04-30T00:00:00Z
date_updated: 2025-05-28T11:57:01Z
day: '30'
department:
- _id: NiBa
- _id: GaTk
doi: 10.25386/genetics.6148304.v1
main_file_link:
- open_access: '1'
url: https://doi.org/10.25386/genetics.6148304.v1
month: '04'
oa: 1
oa_version: Published Version
publisher: Genetics Society of America
related_material:
record:
- id: '316'
relation: used_in_publication
status: public
status: public
title: Supplemental material for Bodova et al., 2018
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2018'
...
---
_id: '9837'
abstract:
- lang: eng
text: Both classical and recent studies suggest that chromosomal inversion polymorphisms
are important in adaptation and speciation. However, biases in discovery and reporting
of inversions make it difficult to assess their prevalence and biological importance.
Here, we use an approach based on linkage disequilibrium among markers genotyped
for samples collected across a transect between contrasting habitats to detect
chromosomal rearrangements de novo. We report 17 polymorphic rearrangements in
a single locality for the coastal marine snail, Littorina saxatilis. Patterns
of diversity in the field and of recombination in controlled crosses provide strong
evidence that at least the majority of these rearrangements are inversions. Most
show clinal changes in frequency between habitats, suggestive of divergent selection,
but only one appears to be fixed for different arrangements in the two habitats.
Consistent with widespread evidence for balancing selection on inversion polymorphisms,
we argue that a combination of heterosis and divergent selection can explain the
observed patterns and should be considered in other systems spanning environmental
gradients.
article_processing_charge: No
author:
- first_name: Rui
full_name: Faria, Rui
last_name: Faria
- first_name: Pragya
full_name: Chaube, Pragya
last_name: Chaube
- first_name: Hernán E.
full_name: Morales, Hernán E.
last_name: Morales
- first_name: Tomas
full_name: Larsson, Tomas
last_name: Larsson
- first_name: Alan R.
full_name: Lemmon, Alan R.
last_name: Lemmon
- first_name: Emily M.
full_name: Lemmon, Emily M.
last_name: Lemmon
- first_name: Marina
full_name: Rafajlović, Marina
last_name: Rafajlović
- first_name: Marina
full_name: Panova, Marina
last_name: Panova
- first_name: Mark
full_name: Ravinet, Mark
last_name: Ravinet
- first_name: Kerstin
full_name: Johannesson, Kerstin
last_name: Johannesson
- first_name: Anja M
full_name: Westram, Anja M
id: 3C147470-F248-11E8-B48F-1D18A9856A87
last_name: Westram
orcid: 0000-0003-1050-4969
- first_name: Roger K.
full_name: Butlin, Roger K.
last_name: Butlin
citation:
ama: 'Faria R, Chaube P, Morales HE, et al. Data from: Multiple chromosomal rearrangements
in a hybrid zone between Littorina saxatilis ecotypes. 2018. doi:10.5061/dryad.72cg113'
apa: 'Faria, R., Chaube, P., Morales, H. E., Larsson, T., Lemmon, A. R., Lemmon,
E. M., … Butlin, R. K. (2018). Data from: Multiple chromosomal rearrangements
in a hybrid zone between Littorina saxatilis ecotypes. Dryad. https://doi.org/10.5061/dryad.72cg113'
chicago: 'Faria, Rui, Pragya Chaube, Hernán E. Morales, Tomas Larsson, Alan R. Lemmon,
Emily M. Lemmon, Marina Rafajlović, et al. “Data from: Multiple Chromosomal Rearrangements
in a Hybrid Zone between Littorina Saxatilis Ecotypes.” Dryad, 2018. https://doi.org/10.5061/dryad.72cg113.'
ieee: 'R. Faria et al., “Data from: Multiple chromosomal rearrangements in
a hybrid zone between Littorina saxatilis ecotypes.” Dryad, 2018.'
ista: 'Faria R, Chaube P, Morales HE, Larsson T, Lemmon AR, Lemmon EM, Rafajlović
M, Panova M, Ravinet M, Johannesson K, Westram AM, Butlin RK. 2018. Data from:
Multiple chromosomal rearrangements in a hybrid zone between Littorina saxatilis
ecotypes, Dryad, 10.5061/dryad.72cg113.'
mla: 'Faria, Rui, et al. Data from: Multiple Chromosomal Rearrangements in a
Hybrid Zone between Littorina Saxatilis Ecotypes. Dryad, 2018, doi:10.5061/dryad.72cg113.'
short: R. Faria, P. Chaube, H.E. Morales, T. Larsson, A.R. Lemmon, E.M. Lemmon,
M. Rafajlović, M. Panova, M. Ravinet, K. Johannesson, A.M. Westram, R.K. Butlin,
(2018).
date_created: 2021-08-09T12:46:39Z
date_published: 2018-10-09T00:00:00Z
date_updated: 2023-08-24T14:50:26Z
day: '09'
department:
- _id: NiBa
doi: 10.5061/dryad.72cg113
main_file_link:
- open_access: '1'
url: https://doi.org/10.5061/dryad.72cg113
month: '10'
oa: 1
oa_version: Published Version
publisher: Dryad
related_material:
record:
- id: '6095'
relation: used_in_publication
status: public
status: public
title: 'Data from: Multiple chromosomal rearrangements in a hybrid zone between Littorina
saxatilis ecotypes'
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2018'
...
---
_id: '9840'
abstract:
- lang: eng
text: Herd immunity, a process in which resistant individuals limit the spread of
a pathogen among susceptible hosts has been extensively studied in eukaryotes.
Even though bacteria have evolved multiple immune systems against their phage
pathogens, herd immunity in bacteria remains unexplored. Here we experimentally
demonstrate that herd immunity arises during phage epidemics in structured and
unstructured Escherichia coli populations consisting of differing frequencies
of susceptible and resistant cells harboring CRISPR immunity. In addition, we
develop a mathematical model that quantifies how herd immunity is affected by
spatial population structure, bacterial growth rate, and phage replication rate.
Using our model we infer a general epidemiological rule describing the relative
speed of an epidemic in partially resistant spatially structured populations.
Our experimental and theoretical findings indicate that herd immunity may be important
in bacterial communities, allowing for stable coexistence of bacteria and their
phages and the maintenance of polymorphism in bacterial immunity.
article_processing_charge: No
author:
- first_name: Pavel
full_name: Payne, Pavel
id: 35F78294-F248-11E8-B48F-1D18A9856A87
last_name: Payne
orcid: 0000-0002-2711-9453
- first_name: Lukas
full_name: Geyrhofer, Lukas
last_name: Geyrhofer
- 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
citation:
ama: 'Payne P, Geyrhofer L, Barton NH, Bollback JP. Data from: CRISPR-based herd
immunity limits phage epidemics in bacterial populations. 2018. doi:10.5061/dryad.42n44'
apa: 'Payne, P., Geyrhofer, L., Barton, N. H., & Bollback, J. P. (2018). Data
from: CRISPR-based herd immunity limits phage epidemics in bacterial populations.
Dryad. https://doi.org/10.5061/dryad.42n44'
chicago: 'Payne, Pavel, Lukas Geyrhofer, Nicholas H Barton, and Jonathan P Bollback.
“Data from: CRISPR-Based Herd Immunity Limits Phage Epidemics in Bacterial Populations.”
Dryad, 2018. https://doi.org/10.5061/dryad.42n44.'
ieee: 'P. Payne, L. Geyrhofer, N. H. Barton, and J. P. Bollback, “Data from: CRISPR-based
herd immunity limits phage epidemics in bacterial populations.” Dryad, 2018.'
ista: 'Payne P, Geyrhofer L, Barton NH, Bollback JP. 2018. Data from: CRISPR-based
herd immunity limits phage epidemics in bacterial populations, Dryad, 10.5061/dryad.42n44.'
mla: 'Payne, Pavel, et al. Data from: CRISPR-Based Herd Immunity Limits Phage
Epidemics in Bacterial Populations. Dryad, 2018, doi:10.5061/dryad.42n44.'
short: P. Payne, L. Geyrhofer, N.H. Barton, J.P. Bollback, (2018).
date_created: 2021-08-09T13:10:02Z
date_published: 2018-03-12T00:00:00Z
date_updated: 2023-09-11T12:49:17Z
day: '12'
department:
- _id: NiBa
- _id: JoBo
doi: 10.5061/dryad.42n44
main_file_link:
- open_access: '1'
url: https://doi.org/10.5061/dryad.42n44
month: '03'
oa: 1
oa_version: Published Version
publisher: Dryad
related_material:
record:
- id: '423'
relation: used_in_publication
status: public
status: public
title: 'Data from: CRISPR-based herd immunity limits phage epidemics in bacterial
populations'
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2018'
...
---
_id: '38'
abstract:
- lang: eng
text: 'Genomes of closely-related species or populations often display localized
regions of enhanced relative sequence divergence, termed genomic islands. It has
been proposed that these islands arise through selective sweeps and/or barriers
to gene flow. Here, we genetically dissect a genomic island that controls flower
color pattern differences between two subspecies of Antirrhinum majus, A.m.striatum
and A.m.pseudomajus, and relate it to clinal variation across a natural hybrid
zone. We show that selective sweeps likely raised relative divergence at two tightly-linked
MYB-like transcription factors, leading to distinct flower patterns in the two
subspecies. The two patterns provide alternate floral guides and create a strong
barrier to gene flow where populations come into contact. This barrier affects
the selected flower color genes and tightlylinked loci, but does not extend outside
of this domain, allowing gene flow to lower relative divergence for the rest of
the chromosome. Thus, both selective sweeps and barriers to gene flow play a role
in shaping genomic islands: sweeps cause elevation in relative divergence, while
heterogeneous gene flow flattens the surrounding "sea," making the island of divergence
stand out. By showing how selective sweeps establish alternative adaptive phenotypes
that lead to barriers to gene flow, our study sheds light on possible mechanisms
leading to reproductive isolation and speciation.'
acknowledgement: ' ERC Grant 201252 (to N.H.B.)'
article_processing_charge: No
author:
- first_name: Hugo
full_name: Tavares, Hugo
last_name: Tavares
- first_name: Annabel
full_name: Whitley, Annabel
last_name: Whitley
- first_name: David
full_name: Field, David
id: 419049E2-F248-11E8-B48F-1D18A9856A87
last_name: Field
orcid: 0000-0002-4014-8478
- first_name: Desmond
full_name: Bradley, Desmond
last_name: Bradley
- first_name: Matthew
full_name: Couchman, Matthew
last_name: Couchman
- first_name: Lucy
full_name: Copsey, Lucy
last_name: Copsey
- first_name: Joane
full_name: Elleouet, Joane
last_name: Elleouet
- first_name: Monique
full_name: Burrus, Monique
last_name: Burrus
- first_name: Christophe
full_name: Andalo, Christophe
last_name: Andalo
- first_name: Miaomiao
full_name: Li, Miaomiao
last_name: Li
- first_name: Qun
full_name: Li, Qun
last_name: Li
- first_name: Yongbiao
full_name: Xue, Yongbiao
last_name: Xue
- first_name: Alexandra B
full_name: Rebocho, Alexandra B
last_name: Rebocho
- 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: Enrico
full_name: Coen, Enrico
last_name: Coen
citation:
ama: Tavares H, Whitley A, Field D, et al. Selection and gene flow shape genomic
islands that control floral guides. PNAS. 2018;115(43):11006-11011. doi:10.1073/pnas.1801832115
apa: Tavares, H., Whitley, A., Field, D., Bradley, D., Couchman, M., Copsey, L.,
… Coen, E. (2018). Selection and gene flow shape genomic islands that control
floral guides. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1801832115
chicago: Tavares, Hugo, Annabel Whitley, David Field, Desmond Bradley, Matthew Couchman,
Lucy Copsey, Joane Elleouet, et al. “Selection and Gene Flow Shape Genomic Islands
That Control Floral Guides.” PNAS. National Academy of Sciences, 2018.
https://doi.org/10.1073/pnas.1801832115.
ieee: H. Tavares et al., “Selection and gene flow shape genomic islands that
control floral guides,” PNAS, vol. 115, no. 43. National Academy of Sciences,
pp. 11006–11011, 2018.
ista: Tavares H, Whitley A, Field D, Bradley D, Couchman M, Copsey L, Elleouet J,
Burrus M, Andalo C, Li M, Li Q, Xue Y, Rebocho AB, Barton NH, Coen E. 2018. Selection
and gene flow shape genomic islands that control floral guides. PNAS. 115(43),
11006–11011.
mla: Tavares, Hugo, et al. “Selection and Gene Flow Shape Genomic Islands That Control
Floral Guides.” PNAS, vol. 115, no. 43, National Academy of Sciences, 2018,
pp. 11006–11, doi:10.1073/pnas.1801832115.
short: H. Tavares, A. Whitley, D. Field, D. Bradley, M. Couchman, L. Copsey, J.
Elleouet, M. Burrus, C. Andalo, M. Li, Q. Li, Y. Xue, A.B. Rebocho, N.H. Barton,
E. Coen, PNAS 115 (2018) 11006–11011.
date_created: 2018-12-11T11:44:18Z
date_published: 2018-10-23T00:00:00Z
date_updated: 2023-09-18T08:36:49Z
day: '23'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1073/pnas.1801832115
external_id:
isi:
- '000448040500065'
pmid:
- '30297406'
file:
- access_level: open_access
checksum: d2305d0cc81dbbe4c1c677d64ad6f6d1
content_type: application/pdf
creator: dernst
date_created: 2018-12-17T08:44:03Z
date_updated: 2020-07-14T12:46:16Z
file_id: '5683'
file_name: 11006.full.pdf
file_size: 1911302
relation: main_file
file_date_updated: 2020-07-14T12:46:16Z
has_accepted_license: '1'
intvolume: ' 115'
isi: 1
issue: '43'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 11006 - 11011
pmid: 1
publication: PNAS
publication_identifier:
issn:
- '00278424'
publication_status: published
publisher: National Academy of Sciences
publist_id: '8017'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Selection and gene flow shape genomic islands that control floral guides
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 115
year: '2018'
...
---
_id: '39'
abstract:
- lang: eng
text: We study how a block of genome with a large number of weakly selected loci
introgresses under directional selection into a genetically homogeneous population.
We derive exact expressions for the expected rate of growth of any fragment of
the introduced block during the initial phase of introgression, and show that
the growth rate of a single-locus variant is largely insensitive to its own additive
effect, but depends instead on the combined effect of all loci within a characteristic
linkage scale. The expected growth rate of a fragment is highly correlated with
its long-term introgression probability in populations of moderate size, and can
hence identify variants that are likely to introgress across replicate populations.
We clarify how the introgression probability of an individual variant is determined
by the interplay between hitchhiking with relatively large fragments during the
early phase of introgression and selection on fine-scale variation within these,
which at longer times results in differential introgression probabilities for
beneficial and deleterious loci within successful fragments. By simulating individuals,
we also investigate how introgression probabilities at individual loci depend
on the variance of fitness effects, the net fitness of the introduced block, and
the size of the recipient population, and how this shapes the net advance under
selection. Our work suggests that even highly replicable substitutions may be
associated with a range of selective effects, which makes it challenging to fine
map the causal loci that underlie polygenic adaptation.
article_processing_charge: No
article_type: original
author:
- first_name: Himani
full_name: Sachdeva, Himani
id: 42377A0A-F248-11E8-B48F-1D18A9856A87
last_name: Sachdeva
- 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: Sachdeva H, Barton NH. Replicability of introgression under linked, polygenic
selection. Genetics. 2018;210(4):1411-1427. doi:10.1534/genetics.118.301429
apa: Sachdeva, H., & Barton, N. H. (2018). Replicability of introgression under
linked, polygenic selection. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.118.301429
chicago: Sachdeva, Himani, and Nicholas H Barton. “Replicability of Introgression
under Linked, Polygenic Selection.” Genetics. Genetics Society of America,
2018. https://doi.org/10.1534/genetics.118.301429.
ieee: H. Sachdeva and N. H. Barton, “Replicability of introgression under linked,
polygenic selection,” Genetics, vol. 210, no. 4. Genetics Society of America,
pp. 1411–1427, 2018.
ista: Sachdeva H, Barton NH. 2018. Replicability of introgression under linked,
polygenic selection. Genetics. 210(4), 1411–1427.
mla: Sachdeva, Himani, and Nicholas H. Barton. “Replicability of Introgression under
Linked, Polygenic Selection.” Genetics, vol. 210, no. 4, Genetics Society
of America, 2018, pp. 1411–27, doi:10.1534/genetics.118.301429.
short: H. Sachdeva, N.H. Barton, Genetics 210 (2018) 1411–1427.
date_created: 2018-12-11T11:44:18Z
date_published: 2018-12-04T00:00:00Z
date_updated: 2023-09-18T08:10:29Z
day: '04'
department:
- _id: NiBa
doi: 10.1534/genetics.118.301429
external_id:
isi:
- '000452315900021'
intvolume: ' 210'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.biorxiv.org/content/10.1101/379578v1
month: '12'
oa: 1
oa_version: Preprint
page: 1411-1427
publication: Genetics
publication_identifier:
issn:
- '00166731'
publication_status: published
publisher: Genetics Society of America
quality_controlled: '1'
scopus_import: '1'
status: public
title: Replicability of introgression under linked, polygenic selection
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 210
year: '2018'
...
---
_id: '40'
abstract:
- lang: eng
text: Hanemaaijer et al. (Molecular Ecology, 27, 2018) describe the genetic consequences
of the introgression of an insecticide resistance allele into a mosquito population.
Linked alleles initially increased, but many of these later declined. It is hard
to determine whether this decline was due to counter‐selection, rather than simply
to chance.
article_processing_charge: Yes (via OA deal)
article_type: letter_note
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. The consequences of an introgression event. Molecular Ecology.
2018;27(24):4973-4975. doi:10.1111/mec.14950
apa: Barton, N. H. (2018). The consequences of an introgression event. Molecular
Ecology. Wiley. https://doi.org/10.1111/mec.14950
chicago: Barton, Nicholas H. “The Consequences of an Introgression Event.” Molecular
Ecology. Wiley, 2018. https://doi.org/10.1111/mec.14950.
ieee: N. H. Barton, “The consequences of an introgression event,” Molecular Ecology,
vol. 27, no. 24. Wiley, pp. 4973–4975, 2018.
ista: Barton NH. 2018. The consequences of an introgression event. Molecular Ecology.
27(24), 4973–4975.
mla: Barton, Nicholas H. “The Consequences of an Introgression Event.” Molecular
Ecology, vol. 27, no. 24, Wiley, 2018, pp. 4973–75, doi:10.1111/mec.14950.
short: N.H. Barton, Molecular Ecology 27 (2018) 4973–4975.
date_created: 2018-12-11T11:44:18Z
date_published: 2018-12-31T00:00:00Z
date_updated: 2023-09-19T10:06:08Z
day: '31'
ddc:
- '576'
department:
- _id: NiBa
doi: 10.1111/mec.14950
external_id:
isi:
- '000454600500001'
pmid:
- '30599087'
file:
- access_level: open_access
content_type: application/pdf
creator: apreinsp
date_created: 2019-07-19T06:54:46Z
date_updated: 2020-07-14T12:46:22Z
file_id: '6652'
file_name: 2018_MolecularEcology_BartonNick.pdf
file_size: 295452
relation: main_file
file_date_updated: 2020-07-14T12:46:22Z
has_accepted_license: '1'
intvolume: ' 27'
isi: 1
issue: '24'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
page: 4973-4975
pmid: 1
publication: Molecular Ecology
publication_identifier:
issn:
- 1365294X
publication_status: published
publisher: Wiley
publist_id: '8014'
quality_controlled: '1'
related_material:
record:
- id: '9805'
relation: research_data
status: public
scopus_import: '1'
status: public
title: The consequences of an introgression event
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: 27
year: '2018'
...
---
_id: '423'
abstract:
- lang: eng
text: Herd immunity, a process in which resistant individuals limit the spread of
a pathogen among susceptible hosts has been extensively studied in eukaryotes.
Even though bacteria have evolved multiple immune systems against their phage
pathogens, herd immunity in bacteria remains unexplored. Here we experimentally
demonstrate that herd immunity arises during phage epidemics in structured and
unstructured Escherichia coli populations consisting of differing frequencies
of susceptible and resistant cells harboring CRISPR immunity. In addition, we
develop a mathematical model that quantifies how herd immunity is affected by
spatial population structure, bacterial growth rate, and phage replication rate.
Using our model we infer a general epidemiological rule describing the relative
speed of an epidemic in partially resistant spatially structured populations.
Our experimental and theoretical findings indicate that herd immunity may be important
in bacterial communities, allowing for stable coexistence of bacteria and their
phages and the maintenance of polymorphism in bacterial immunity.
acknowledgement: "We are grateful to Remy Chait for his help and assistance with establishing
our experimental setups and to Tobias Bergmiller for valuable insights into some
specific experimental details. We thank Luciano Marraffini for donating us the pCas9
plasmid used in this study. We also want to express our gratitude to Seth Barribeau,
Andrea Betancourt, Călin Guet, Mato Lagator, Tiago Paixão and Maroš Pleška for valuable
discussions on the manuscript. Finally, we would like to thank the \r\neditors and
reviewers for their helpful comments and suggestions."
article_number: e32035
article_processing_charge: No
author:
- first_name: Pavel
full_name: Payne, Pavel
id: 35F78294-F248-11E8-B48F-1D18A9856A87
last_name: Payne
orcid: 0000-0002-2711-9453
- first_name: Lukas
full_name: Geyrhofer, Lukas
last_name: Geyrhofer
- 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
citation:
ama: Payne P, Geyrhofer L, Barton NH, Bollback JP. CRISPR-based herd immunity can
limit phage epidemics in bacterial populations. eLife. 2018;7. doi:10.7554/eLife.32035
apa: Payne, P., Geyrhofer, L., Barton, N. H., & Bollback, J. P. (2018). CRISPR-based
herd immunity can limit phage epidemics in bacterial populations. ELife.
eLife Sciences Publications. https://doi.org/10.7554/eLife.32035
chicago: Payne, Pavel, Lukas Geyrhofer, Nicholas H Barton, and Jonathan P Bollback.
“CRISPR-Based Herd Immunity Can Limit Phage Epidemics in Bacterial Populations.”
ELife. eLife Sciences Publications, 2018. https://doi.org/10.7554/eLife.32035.
ieee: P. Payne, L. Geyrhofer, N. H. Barton, and J. P. Bollback, “CRISPR-based herd
immunity can limit phage epidemics in bacterial populations,” eLife, vol.
7. eLife Sciences Publications, 2018.
ista: Payne P, Geyrhofer L, Barton NH, Bollback JP. 2018. CRISPR-based herd immunity
can limit phage epidemics in bacterial populations. eLife. 7, e32035.
mla: Payne, Pavel, et al. “CRISPR-Based Herd Immunity Can Limit Phage Epidemics
in Bacterial Populations.” ELife, vol. 7, e32035, eLife Sciences Publications,
2018, doi:10.7554/eLife.32035.
short: P. Payne, L. Geyrhofer, N.H. Barton, J.P. Bollback, ELife 7 (2018).
date_created: 2018-12-11T11:46:23Z
date_published: 2018-03-09T00:00:00Z
date_updated: 2023-09-11T12:49:17Z
day: '09'
ddc:
- '576'
department:
- _id: NiBa
- _id: JoBo
doi: 10.7554/eLife.32035
ec_funded: 1
external_id:
isi:
- '000431035800001'
file:
- access_level: open_access
checksum: 447cf6e680bdc3c01062a8737d876569
content_type: application/pdf
creator: dernst
date_created: 2018-12-17T10:36:07Z
date_updated: 2020-07-14T12:46:25Z
file_id: '5689'
file_name: 2018_eLife_Payne.pdf
file_size: 3533881
relation: main_file
file_date_updated: 2020-07-14T12:46:25Z
has_accepted_license: '1'
intvolume: ' 7'
isi: 1
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
project:
- _id: 2578D616-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '648440'
name: Selective Barriers to Horizontal Gene Transfer
publication: eLife
publication_status: published
publisher: eLife Sciences Publications
publist_id: '7400'
quality_controlled: '1'
related_material:
record:
- id: '9840'
relation: research_data
status: public
scopus_import: '1'
status: public
title: CRISPR-based herd immunity can limit phage epidemics in bacterial 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: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 7
year: '2018'
...
---
_id: '430'
abstract:
- lang: eng
text: In this issue of GENETICS, a new method for detecting natural selection on
polygenic traits is developed and applied to sev- eral human examples ( Racimo
et al. 2018 ). By de fi nition, many loci contribute to variation in polygenic
traits, and a challenge for evolutionary ge neticists has been that these traits
can evolve by small, nearly undetectable shifts in allele frequencies across each
of many, typically unknown, loci. Recently, a helpful remedy has arisen. Genome-wide
associ- ation studies (GWAS) have been illuminating sets of loci that can be interrogated
jointly for c hanges in allele frequencies. By aggregating small signal s of change
across many such loci, directional natural selection is now in principle detect-
able using genetic data, even for highly polygenic traits. This is an exciting
arena of progress – with these methods, tests can be made for selection associated
with traits, and we can now study selection in what may be its most prevalent
mode. The continuing fast pace of GWAS publications suggest there will be many
more polygenic tests of selection in the near future, as every new GWAS is an
opportunity for an accom- panying test of polygenic selection. However, it is
important to be aware of complications th at arise in interpretation, especially
given that these studies may easily be misinter- preted both in and outside the
evolutionary genetics commu- nity. Here, we provide context for understanding
polygenic tests and urge caution regarding how these results are inter- preted
and reported upon more broadly.
article_processing_charge: No
author:
- first_name: John
full_name: Novembre, John
last_name: Novembre
- 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: Novembre J, Barton NH. Tread lightly interpreting polygenic tests of selection.
Genetics. 2018;208(4):1351-1355. doi:10.1534/genetics.118.300786
apa: Novembre, J., & Barton, N. H. (2018). Tread lightly interpreting polygenic
tests of selection. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.118.300786
chicago: Novembre, John, and Nicholas H Barton. “Tread Lightly Interpreting Polygenic
Tests of Selection.” Genetics. Genetics Society of America, 2018. https://doi.org/10.1534/genetics.118.300786.
ieee: J. Novembre and N. H. Barton, “Tread lightly interpreting polygenic tests
of selection,” Genetics, vol. 208, no. 4. Genetics Society of America,
pp. 1351–1355, 2018.
ista: Novembre J, Barton NH. 2018. Tread lightly interpreting polygenic tests of
selection. Genetics. 208(4), 1351–1355.
mla: Novembre, John, and Nicholas H. Barton. “Tread Lightly Interpreting Polygenic
Tests of Selection.” Genetics, vol. 208, no. 4, Genetics Society of America,
2018, pp. 1351–55, doi:10.1534/genetics.118.300786.
short: J. Novembre, N.H. Barton, Genetics 208 (2018) 1351–1355.
date_created: 2018-12-11T11:46:26Z
date_published: 2018-04-01T00:00:00Z
date_updated: 2023-09-19T10:17:30Z
day: '01'
ddc:
- '576'
department:
- _id: NiBa
doi: 10.1534/genetics.118.300786
external_id:
isi:
- '000429094400005'
file:
- access_level: open_access
checksum: 3d838dc285df394376555b794b6a5ad1
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:12:40Z
date_updated: 2020-07-14T12:46:26Z
file_id: '4958'
file_name: IST-2018-1012-v1+1_2018_Barton_Tread.pdf
file_size: 500129
relation: main_file
file_date_updated: 2020-07-14T12:46:26Z
has_accepted_license: '1'
intvolume: ' 208'
isi: 1
issue: '4'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: 1351 - 1355
publication: Genetics
publication_status: published
publisher: Genetics Society of America
publist_id: '7393'
pubrep_id: '1012'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Tread lightly interpreting polygenic tests of selection
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: 208
year: '2018'
...
---
_id: '1074'
abstract:
- lang: eng
text: Recently it has become feasible to detect long blocks of nearly identical
sequence shared between pairs of genomes. These IBD blocks are direct traces of
recent coalescence events and, as such, contain ample signal to infer recent demography.
Here, we examine sharing of such blocks in two-dimensional populations with local
migration. Using a diffusion approximation to trace genetic ancestry, we derive
analytical formulae for patterns of isolation by distance of IBD blocks, which
can also incorporate recent population density changes. We introduce an inference
scheme that uses a composite likelihood approach to fit these formulae. We then
extensively evaluate our theory and inference method on a range of scenarios using
simulated data. We first validate the diffusion approximation by showing that
the theoretical results closely match the simulated block sharing patterns. We
then demonstrate that our inference scheme can accurately and robustly infer dispersal
rate and effective density, as well as bounds on recent dynamics of population
density. To demonstrate an application, we use our estimation scheme to explore
the fit of a diffusion model to Eastern European samples in the POPRES data set.
We show that ancestry diffusing with a rate of σ ≈ 50–100 km/√gen during the last
centuries, combined with accelerating population growth, can explain the observed
exponential decay of block sharing with increasing pairwise sample distance.
article_processing_charge: No
author:
- first_name: Harald
full_name: Ringbauer, Harald
id: 417FCFF4-F248-11E8-B48F-1D18A9856A87
last_name: Ringbauer
orcid: 0000-0002-4884-9682
- first_name: Graham
full_name: Coop, Graham
last_name: Coop
- 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: Ringbauer H, Coop G, Barton NH. Inferring recent demography from isolation
by distance of long shared sequence blocks. Genetics. 2017;205(3):1335-1351.
doi:10.1534/genetics.116.196220
apa: Ringbauer, H., Coop, G., & Barton, N. H. (2017). Inferring recent demography
from isolation by distance of long shared sequence blocks. Genetics. Genetics
Society of America. https://doi.org/10.1534/genetics.116.196220
chicago: Ringbauer, Harald, Graham Coop, and Nicholas H Barton. “Inferring Recent
Demography from Isolation by Distance of Long Shared Sequence Blocks.” Genetics.
Genetics Society of America, 2017. https://doi.org/10.1534/genetics.116.196220.
ieee: H. Ringbauer, G. Coop, and N. H. Barton, “Inferring recent demography from
isolation by distance of long shared sequence blocks,” Genetics, vol. 205,
no. 3. Genetics Society of America, pp. 1335–1351, 2017.
ista: Ringbauer H, Coop G, Barton NH. 2017. Inferring recent demography from isolation
by distance of long shared sequence blocks. Genetics. 205(3), 1335–1351.
mla: Ringbauer, Harald, et al. “Inferring Recent Demography from Isolation by Distance
of Long Shared Sequence Blocks.” Genetics, vol. 205, no. 3, Genetics Society
of America, 2017, pp. 1335–51, doi:10.1534/genetics.116.196220.
short: H. Ringbauer, G. Coop, N.H. Barton, Genetics 205 (2017) 1335–1351.
date_created: 2018-12-11T11:50:00Z
date_published: 2017-03-01T00:00:00Z
date_updated: 2025-05-28T11:42:51Z
day: '01'
department:
- _id: NiBa
doi: 10.1534/genetics.116.196220
ec_funded: 1
external_id:
isi:
- '000395807200023'
intvolume: ' 205'
isi: 1
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://www.biorxiv.org/content/early/2016/09/23/076810
month: '03'
oa: 1
oa_version: Preprint
page: 1335 - 1351
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Genetics
publication_identifier:
issn:
- '00166731'
publication_status: published
publisher: Genetics Society of America
publist_id: '6307'
quality_controlled: '1'
related_material:
record:
- id: '200'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Inferring recent demography from isolation by distance of long shared sequence
blocks
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 205
year: '2017'
...
---
_id: '1077'
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 fX174 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_number: '20160139'
article_processing_charge: Yes (in subscription journal)
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: Vladar, Harold
id: 2A181218-F248-11E8-B48F-1D18A9856A87
last_name: 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. Evolutionary interplay
between structure, energy and epistasis in the coat protein of the ϕX174 phage
family. Journal of the Royal Society Interface. 2017;14(126). doi:10.1098/rsif.2016.0139
apa: Fernandes Redondo, R. A., de Vladar, H., Włodarski, T., & Bollback, J.
P. (2017). Evolutionary interplay between structure, energy and epistasis in the
coat protein of the ϕX174 phage family. Journal of the Royal Society Interface.
Royal Society of London. https://doi.org/10.1098/rsif.2016.0139
chicago: Fernandes Redondo, Rodrigo A, Harold de Vladar, Tomasz Włodarski, and Jonathan
P Bollback. “Evolutionary Interplay between Structure, Energy and Epistasis in
the Coat Protein of the ΦX174 Phage Family.” Journal of the Royal Society Interface.
Royal Society of London, 2017. https://doi.org/10.1098/rsif.2016.0139.
ieee: R. A. Fernandes Redondo, H. de Vladar, T. Włodarski, and J. P. Bollback, “Evolutionary
interplay between structure, energy and epistasis in the coat protein of the ϕX174
phage family,” Journal of the Royal Society Interface, vol. 14, no. 126.
Royal Society of London, 2017.
ista: Fernandes Redondo RA, de Vladar H, Włodarski T, Bollback JP. 2017. Evolutionary
interplay between structure, energy and epistasis in the coat protein of the ϕX174
phage family. Journal of the Royal Society Interface. 14(126), 20160139.
mla: Fernandes Redondo, Rodrigo A., et al. “Evolutionary Interplay between Structure,
Energy and Epistasis in the Coat Protein of the ΦX174 Phage Family.” Journal
of the Royal Society Interface, vol. 14, no. 126, 20160139, Royal Society
of London, 2017, doi:10.1098/rsif.2016.0139.
short: R.A. Fernandes Redondo, H. de Vladar, T. Włodarski, J.P. Bollback, Journal
of the Royal Society Interface 14 (2017).
date_created: 2018-12-11T11:50:01Z
date_published: 2017-01-04T00:00:00Z
date_updated: 2025-05-28T11:42:51Z
day: '04'
ddc:
- '570'
department:
- _id: NiBa
- _id: JoBo
doi: 10.1098/rsif.2016.0139
ec_funded: 1
external_id:
isi:
- '000393380400001'
file:
- access_level: open_access
content_type: application/pdf
creator: dernst
date_created: 2019-01-18T09:14:02Z
date_updated: 2019-01-18T09:14:02Z
file_id: '5843'
file_name: 2017_JRSI_Redondo.pdf
file_size: 1092015
relation: main_file
success: 1
file_date_updated: 2019-01-18T09:14:02Z
has_accepted_license: '1'
intvolume: ' 14'
isi: 1
issue: '126'
language:
- iso: eng
month: '01'
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
- _id: 2578D616-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '648440'
name: Selective Barriers to Horizontal Gene Transfer
publication: Journal of the Royal Society Interface
publication_identifier:
issn:
- '17425689'
publication_status: published
publisher: Royal Society of London
publist_id: '6303'
quality_controlled: '1'
related_material:
record:
- id: '9864'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Evolutionary interplay between structure, energy and epistasis in the coat
protein of the ϕX174 phage family
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: 14
year: '2017'
...
---
_id: '1111'
abstract:
- lang: eng
text: Adaptation depends critically on the effects of new mutations and their dependency
on the genetic background in which they occur. These two factors can be summarized
by the fitness landscape. However, it would require testing all mutations in all
backgrounds, making the definition and analysis of fitness landscapes mostly inaccessible.
Instead of postulating a particular fitness landscape, we address this problem
by considering general classes of landscapes and calculating an upper limit for
the time it takes for a population to reach a fitness peak, circumventing the
need to have full knowledge about the fitness landscape. We analyze populations
in the weak-mutation regime and characterize the conditions that enable them to
quickly reach the fitness peak as a function of the number of sites under selection.
We show that for additive landscapes there is a critical selection strength enabling
populations to reach high-fitness genotypes, regardless of the distribution of
effects. This threshold scales with the number of sites under selection, effectively
setting a limit to adaptation, and results from the inevitable increase in deleterious
mutational pressure as the population adapts in a space of discrete genotypes.
Furthermore, we show that for the class of all unimodal landscapes this condition
is sufficient but not necessary for rapid adaptation, as in some highly epistatic
landscapes the critical strength does not depend on the number of sites under
selection; effectively removing this barrier to adaptation.
article_processing_charge: No
article_type: original
author:
- first_name: Jorge
full_name: Heredia, Jorge
last_name: Heredia
- first_name: Barbora
full_name: Trubenova, Barbora
id: 42302D54-F248-11E8-B48F-1D18A9856A87
last_name: Trubenova
orcid: 0000-0002-6873-2967
- first_name: Dirk
full_name: Sudholt, Dirk
last_name: Sudholt
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
citation:
ama: Heredia J, Trubenova B, Sudholt D, Paixao T. Selection limits to adaptive walks
on correlated landscapes. Genetics. 2017;205(2):803-825. doi:10.1534/genetics.116.189340
apa: Heredia, J., Trubenova, B., Sudholt, D., & Paixao, T. (2017). Selection
limits to adaptive walks on correlated landscapes. Genetics. Genetics Society
of America. https://doi.org/10.1534/genetics.116.189340
chicago: Heredia, Jorge, Barbora Trubenova, Dirk Sudholt, and Tiago Paixao. “Selection
Limits to Adaptive Walks on Correlated Landscapes.” Genetics. Genetics
Society of America, 2017. https://doi.org/10.1534/genetics.116.189340.
ieee: J. Heredia, B. Trubenova, D. Sudholt, and T. Paixao, “Selection limits to
adaptive walks on correlated landscapes,” Genetics, vol. 205, no. 2. Genetics
Society of America, pp. 803–825, 2017.
ista: Heredia J, Trubenova B, Sudholt D, Paixao T. 2017. Selection limits to adaptive
walks on correlated landscapes. Genetics. 205(2), 803–825.
mla: Heredia, Jorge, et al. “Selection Limits to Adaptive Walks on Correlated Landscapes.”
Genetics, vol. 205, no. 2, Genetics Society of America, 2017, pp. 803–25,
doi:10.1534/genetics.116.189340.
short: J. Heredia, B. Trubenova, D. Sudholt, T. Paixao, Genetics 205 (2017) 803–825.
date_created: 2018-12-11T11:50:12Z
date_published: 2017-02-01T00:00:00Z
date_updated: 2023-09-20T11:35:03Z
day: '01'
department:
- _id: NiBa
doi: 10.1534/genetics.116.189340
ec_funded: 1
external_id:
isi:
- '000394144900025'
pmid:
- '27881471'
intvolume: ' 205'
isi: 1
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1534/genetics.116.189340
month: '02'
oa: 1
oa_version: Published Version
page: 803 - 825
pmid: 1
project:
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
publication: Genetics
publication_identifier:
issn:
- '00166731'
publication_status: published
publisher: Genetics Society of America
publist_id: '6256'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Selection limits to adaptive walks on correlated landscapes
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 205
year: '2017'
...
---
_id: '1112'
abstract:
- lang: eng
text: There has been renewed interest in modelling the behaviour of evolutionary
algorithms by more traditional mathematical objects, such as ordinary differential
equations or Markov chains. The advantage is that the analysis becomes greatly
facilitated due to the existence of well established methods. However, this typically
comes at the cost of disregarding information about the process. Here, we introduce
the use of stochastic differential equations (SDEs) for the study of EAs. SDEs
can produce simple analytical results for the dynamics of stochastic processes,
unlike Markov chains which can produce rigorous but unwieldy expressions about
the dynamics. On the other hand, unlike ordinary differential equations (ODEs),
they do not discard information about the stochasticity of the process. We show
that these are especially suitable for the analysis of fixed budget scenarios
and present analogs of the additive and multiplicative drift theorems for SDEs.
We exemplify the use of these methods for two model algorithms ((1+1) EA and RLS)
on two canonical problems(OneMax and LeadingOnes).
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
citation:
ama: 'Paixao T, Pérez Heredia J. An application of stochastic differential equations
to evolutionary algorithms. In: Proceedings of the 14th ACM/SIGEVO Conference
on Foundations of Genetic Algorithms. ACM; 2017:3-11. doi:10.1145/3040718.3040729'
apa: 'Paixao, T., & Pérez Heredia, J. (2017). An application of stochastic differential
equations to evolutionary algorithms. In Proceedings of the 14th ACM/SIGEVO
Conference on Foundations of Genetic Algorithms (pp. 3–11). Copenhagen, Denmark:
ACM. https://doi.org/10.1145/3040718.3040729'
chicago: Paixao, Tiago, and Jorge Pérez Heredia. “An Application of Stochastic Differential
Equations to Evolutionary Algorithms.” In Proceedings of the 14th ACM/SIGEVO
Conference on Foundations of Genetic Algorithms, 3–11. ACM, 2017. https://doi.org/10.1145/3040718.3040729.
ieee: T. Paixao and J. Pérez Heredia, “An application of stochastic differential
equations to evolutionary algorithms,” in Proceedings of the 14th ACM/SIGEVO
Conference on Foundations of Genetic Algorithms, Copenhagen, Denmark, 2017,
pp. 3–11.
ista: 'Paixao T, Pérez Heredia J. 2017. An application of stochastic differential
equations to evolutionary algorithms. Proceedings of the 14th ACM/SIGEVO Conference
on Foundations of Genetic Algorithms. FOGA: Foundations of Genetic Algorithms,
3–11.'
mla: Paixao, Tiago, and Jorge Pérez Heredia. “An Application of Stochastic Differential
Equations to Evolutionary Algorithms.” Proceedings of the 14th ACM/SIGEVO Conference
on Foundations of Genetic Algorithms, ACM, 2017, pp. 3–11, doi:10.1145/3040718.3040729.
short: T. Paixao, J. Pérez Heredia, in:, Proceedings of the 14th ACM/SIGEVO Conference
on Foundations of Genetic Algorithms, ACM, 2017, pp. 3–11.
conference:
end_date: 2017-01-15
location: Copenhagen, Denmark
name: 'FOGA: Foundations of Genetic Algorithms'
start_date: 2017-01-12
date_created: 2018-12-11T11:50:12Z
date_published: 2017-01-12T00:00:00Z
date_updated: 2021-01-12T06:48:22Z
day: '12'
department:
- _id: NiBa
doi: 10.1145/3040718.3040729
language:
- iso: eng
month: '01'
oa_version: None
page: 3 - 11
publication: Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic
Algorithms
publication_identifier:
isbn:
- 978-145034651-1
publication_status: published
publisher: ACM
publist_id: '6255'
quality_controlled: '1'
scopus_import: 1
status: public
title: An application of stochastic differential equations to evolutionary algorithms
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2017'
...
---
_id: '1169'
abstract:
- lang: eng
text: Dispersal is a crucial factor in natural evolution, since it determines the
habitat experienced by any population and defines the spatial scale of interactions
between individuals. There is compelling evidence for systematic differences in
dispersal characteristics within the same population, i.e., genotype-dependent
dispersal. The consequences of genotype-dependent dispersal on other evolutionary
phenomena, however, are poorly understood. In this article we investigate the
effect of genotype-dependent dispersal on spatial gene frequency patterns, using
a generalization of the classical diffusion model of selection and dispersal.
Dispersal is characterized by the variance of dispersal (diffusion coefficient)
and the mean displacement (directional advection term). We demonstrate that genotype-dependent
dispersal may change the qualitative behavior of Fisher waves, which change from
being “pulled” to being “pushed” wave fronts as the discrepancy in dispersal between
genotypes increases. The speed of any wave is partitioned into components due
to selection, genotype-dependent variance of dispersal, and genotype-dependent
mean displacement. We apply our findings to wave fronts maintained by selection
against heterozygotes. Furthermore, we identify a benefit of increased variance
of dispersal, quantify its effect on the speed of the wave, and discuss the implications
for the evolution of dispersal strategies.
article_processing_charge: No
author:
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
orcid: 0000-0002-2519-824X
- first_name: Richard
full_name: Kollár, Richard
last_name: Kollár
citation:
ama: Novak S, Kollár R. Spatial gene frequency waves under genotype dependent dispersal.
Genetics. 2017;205(1):367-374. doi:10.1534/genetics.116.193946
apa: Novak, S., & Kollár, R. (2017). Spatial gene frequency waves under genotype
dependent dispersal. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.116.193946
chicago: Novak, Sebastian, and Richard Kollár. “Spatial Gene Frequency Waves under
Genotype Dependent Dispersal.” Genetics. Genetics Society of America, 2017.
https://doi.org/10.1534/genetics.116.193946.
ieee: S. Novak and R. Kollár, “Spatial gene frequency waves under genotype dependent
dispersal,” Genetics, vol. 205, no. 1. Genetics Society of America, pp.
367–374, 2017.
ista: Novak S, Kollár R. 2017. Spatial gene frequency waves under genotype dependent
dispersal. Genetics. 205(1), 367–374.
mla: Novak, Sebastian, and Richard Kollár. “Spatial Gene Frequency Waves under Genotype
Dependent Dispersal.” Genetics, vol. 205, no. 1, Genetics Society of America,
2017, pp. 367–74, doi:10.1534/genetics.116.193946.
short: S. Novak, R. Kollár, Genetics 205 (2017) 367–374.
date_created: 2018-12-11T11:50:31Z
date_published: 2017-01-01T00:00:00Z
date_updated: 2025-05-28T11:42:46Z
day: '01'
ddc:
- '576'
department:
- _id: NiBa
doi: 10.1534/genetics.116.193946
ec_funded: 1
external_id:
isi:
- '000393677300025'
file:
- access_level: open_access
checksum: 7c8ab79cda1f92760bbbbe0f53175bfc
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:10:43Z
date_updated: 2020-07-14T12:44:37Z
file_id: '4833'
file_name: IST-2016-727-v1+1_SFC_Genetics_final.pdf
file_size: 361500
relation: main_file
file_date_updated: 2020-07-14T12:44:37Z
has_accepted_license: '1'
intvolume: ' 205'
isi: 1
issue: '1'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Submitted Version
page: 367 - 374
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: Genetics
publication_identifier:
issn:
- '00166731'
publication_status: published
publisher: Genetics Society of America
publist_id: '6188'
pubrep_id: '727'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Spatial gene frequency waves under genotype dependent dispersal
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 205
year: '2017'
...
---
_id: '696'
abstract:
- lang: eng
text: Mutator strains are expected to evolve when the availability and effect of
beneficial mutations are high enough to counteract the disadvantage from deleterious
mutations that will inevitably accumulate. As the population becomes more adapted
to its environment, both availability and effect of beneficial mutations necessarily
decrease and mutation rates are predicted to decrease. It has been shown that
certain molecular mechanisms can lead to increased mutation rates when the organism
finds itself in a stressful environment. While this may be a correlated response
to other functions, it could also be an adaptive mechanism, raising mutation rates
only when it is most advantageous. Here, we use a mathematical model to investigate
the plausibility of the adaptive hypothesis. We show that such a mechanism can
be mantained if the population is subjected to diverse stresses. By simulating
various antibiotic treatment schemes, we find that combination treatments can
reduce the effectiveness of second-order selection on stress-induced mutagenesis.
We discuss the implications of our results to strategies of antibiotic therapy.
article_number: e1005609
article_type: original
author:
- first_name: Marta
full_name: Lukacisinova, Marta
id: 4342E402-F248-11E8-B48F-1D18A9856A87
last_name: Lukacisinova
orcid: 0000-0002-2519-8004
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
orcid: 0000-0002-2519-824X
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
citation:
ama: 'Lukacisinova M, Novak S, Paixao T. Stress induced mutagenesis: Stress diversity
facilitates the persistence of mutator genes. PLoS Computational Biology.
2017;13(7). doi:10.1371/journal.pcbi.1005609'
apa: 'Lukacisinova, M., Novak, S., & Paixao, T. (2017). Stress induced mutagenesis:
Stress diversity facilitates the persistence of mutator genes. PLoS Computational
Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005609'
chicago: 'Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Stress Induced
Mutagenesis: Stress Diversity Facilitates the Persistence of Mutator Genes.” PLoS
Computational Biology. Public Library of Science, 2017. https://doi.org/10.1371/journal.pcbi.1005609.'
ieee: 'M. Lukacisinova, S. Novak, and T. Paixao, “Stress induced mutagenesis: Stress
diversity facilitates the persistence of mutator genes,” PLoS Computational
Biology, vol. 13, no. 7. Public Library of Science, 2017.'
ista: 'Lukacisinova M, Novak S, Paixao T. 2017. Stress induced mutagenesis: Stress
diversity facilitates the persistence of mutator genes. PLoS Computational Biology.
13(7), e1005609.'
mla: 'Lukacisinova, Marta, et al. “Stress Induced Mutagenesis: Stress Diversity
Facilitates the Persistence of Mutator Genes.” PLoS Computational Biology,
vol. 13, no. 7, e1005609, Public Library of Science, 2017, doi:10.1371/journal.pcbi.1005609.'
short: M. Lukacisinova, S. Novak, T. Paixao, PLoS Computational Biology 13 (2017).
date_created: 2018-12-11T11:47:58Z
date_published: 2017-07-18T00:00:00Z
date_updated: 2024-03-25T23:30:14Z
day: '18'
ddc:
- '576'
department:
- _id: ToBo
- _id: NiBa
- _id: CaGu
doi: 10.1371/journal.pcbi.1005609
ec_funded: 1
file:
- access_level: open_access
checksum: 9143c290fa6458ed2563bff4b295554a
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:15:01Z
date_updated: 2020-07-14T12:47:46Z
file_id: '5117'
file_name: IST-2017-894-v1+1_journal.pcbi.1005609.pdf
file_size: 3775716
relation: main_file
file_date_updated: 2020-07-14T12:47:46Z
has_accepted_license: '1'
intvolume: ' 13'
issue: '7'
language:
- iso: eng
month: '07'
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
publication: PLoS Computational Biology
publication_identifier:
issn:
- 1553734X
publication_status: published
publisher: Public Library of Science
publist_id: '7004'
pubrep_id: '894'
quality_controlled: '1'
related_material:
record:
- id: '9849'
relation: research_data
status: public
- id: '9850'
relation: research_data
status: public
- id: '9851'
relation: research_data
status: public
- id: '9852'
relation: research_data
status: public
- id: '6263'
relation: dissertation_contains
status: public
scopus_import: 1
status: public
title: 'Stress induced mutagenesis: Stress diversity facilitates the persistence of
mutator genes'
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: 13
year: '2017'
...
---
_id: '7163'
abstract:
- lang: eng
text: The de novo genome assemblies generated for this study, and the associated
metadata.
article_processing_charge: No
author:
- first_name: Christelle
full_name: Fraisse, Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
orcid: 0000-0001-8441-5075
citation:
ama: Fraisse C. Supplementary Files for “The deep conservation of the Lepidoptera
Z chromosome suggests a non canonical origin of the W.” 2017. doi:10.15479/AT:ISTA:7163
apa: Fraisse, C. (2017). Supplementary Files for “The deep conservation of the Lepidoptera
Z chromosome suggests a non canonical origin of the W.” Institute of Science and
Technology Austria. https://doi.org/10.15479/AT:ISTA:7163
chicago: Fraisse, Christelle. “Supplementary Files for ‘The Deep Conservation of
the Lepidoptera Z Chromosome Suggests a Non Canonical Origin of the W.’” Institute
of Science and Technology Austria, 2017. https://doi.org/10.15479/AT:ISTA:7163.
ieee: C. Fraisse, “Supplementary Files for ‘The deep conservation of the Lepidoptera
Z chromosome suggests a non canonical origin of the W.’” Institute of Science
and Technology Austria, 2017.
ista: Fraisse C. 2017. Supplementary Files for ‘The deep conservation of the Lepidoptera
Z chromosome suggests a non canonical origin of the W’, Institute of Science and
Technology Austria, 10.15479/AT:ISTA:7163.
mla: Fraisse, Christelle. Supplementary Files for “The Deep Conservation of the
Lepidoptera Z Chromosome Suggests a Non Canonical Origin of the W.” Institute
of Science and Technology Austria, 2017, doi:10.15479/AT:ISTA:7163.
short: C. Fraisse, (2017).
contributor:
- first_name: Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
orcid: 0000-0001-8441-5075
- first_name: Marion A L
id: 2C921A7A-F248-11E8-B48F-1D18A9856A87
last_name: Picard
orcid: 0000-0002-8101-2518
- first_name: Beatriz
id: 49E1C5C6-F248-11E8-B48F-1D18A9856A87
last_name: Vicoso
orcid: 0000-0002-4579-8306
date_created: 2019-12-09T23:03:03Z
date_published: 2017-12-01T00:00:00Z
date_updated: 2024-02-21T13:47:47Z
day: '01'
ddc:
- '576'
department:
- _id: BeVi
- _id: NiBa
doi: 10.15479/AT:ISTA:7163
file:
- access_level: open_access
checksum: 3cae8a2e3cbf8703399b9c483aaba7f3
content_type: application/zip
creator: cfraisse
date_created: 2019-12-10T08:46:46Z
date_updated: 2020-07-14T12:47:50Z
file_id: '7164'
file_name: Vicoso_Cohridella_Ndegeerella_Tsylvina_genome_assemblies.zip
file_size: 841375478
relation: main_file
file_date_updated: 2020-07-14T12:47:50Z
has_accepted_license: '1'
month: '12'
oa: 1
oa_version: Published Version
project:
- _id: 250ED89C-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P28842-B22
name: Sex chromosome evolution under male- and female- heterogamety
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '614'
relation: research_paper
status: public
status: public
title: Supplementary Files for "The deep conservation of the Lepidoptera Z chromosome
suggests a non canonical origin of the W"
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '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
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).
date_created: 2018-12-11T11:47:14Z
date_published: 2017-11-13T00:00:00Z
date_updated: 2021-01-12T08:03:15Z
day: '13'
ddc:
- '576'
department:
- _id: CaGu
- _id: JoBo
- _id: NiBa
doi: 10.7554/eLife.28921
ec_funded: 1
file:
- access_level: open_access
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
file_size: 8453470
relation: main_file
- access_level: open_access
checksum: b433f90576c7be597cd43367946f8e7f
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:14:43Z
date_updated: 2020-07-14T12:47:10Z
file_id: '5097'
file_name: IST-2017-918-v1+2_elife-28921-v3.pdf
file_size: 1953221
relation: main_file
file_date_updated: 2020-07-14T12:47:10Z
has_accepted_license: '1'
intvolume: ' 6'
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:
- 2050084X
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: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 6
year: '2017'
...
---
_id: '611'
abstract:
- lang: eng
text: Small RNAs (sRNAs) regulate genes in plants and animals. Here, we show that
population-wide differences in color patterns in snapdragon flowers are caused
by an inverted duplication that generates sRNAs. The complexity and size of the
transcripts indicate that the duplication represents an intermediate on the pathway
to microRNA evolution. The sRNAs repress a pigment biosynthesis gene, creating
a yellow highlight at the site of pollinator entry. The inverted duplication exhibits
steep clines in allele frequency in a natural hybrid zone, showing that the allele
is under selection. Thus, regulatory interactions of evolutionarily recent sRNAs
can be acted upon by selection and contribute to the evolution of phenotypic diversity.
author:
- first_name: Desmond
full_name: Bradley, Desmond
last_name: Bradley
- first_name: Ping
full_name: Xu, Ping
last_name: Xu
- first_name: Irina
full_name: Mohorianu, Irina
last_name: Mohorianu
- first_name: Annabel
full_name: Whibley, Annabel
last_name: Whibley
- first_name: David
full_name: Field, David
id: 419049E2-F248-11E8-B48F-1D18A9856A87
last_name: Field
orcid: 0000-0002-4014-8478
- first_name: Hugo
full_name: Tavares, Hugo
last_name: Tavares
- first_name: Matthew
full_name: Couchman, Matthew
last_name: Couchman
- first_name: Lucy
full_name: Copsey, Lucy
last_name: Copsey
- first_name: Rosemary
full_name: Carpenter, Rosemary
last_name: Carpenter
- first_name: Miaomiao
full_name: Li, Miaomiao
last_name: Li
- first_name: Qun
full_name: Li, Qun
last_name: Li
- first_name: Yongbiao
full_name: Xue, Yongbiao
last_name: Xue
- first_name: Tamas
full_name: Dalmay, Tamas
last_name: Dalmay
- first_name: Enrico
full_name: Coen, Enrico
last_name: Coen
citation:
ama: Bradley D, Xu P, Mohorianu I, et al. Evolution of flower color pattern through
selection on regulatory small RNAs. Science. 2017;358(6365):925-928. doi:10.1126/science.aao3526
apa: Bradley, D., Xu, P., Mohorianu, I., Whibley, A., Field, D., Tavares, H., …
Coen, E. (2017). Evolution of flower color pattern through selection on regulatory
small RNAs. Science. American Association for the Advancement of Science.
https://doi.org/10.1126/science.aao3526
chicago: Bradley, Desmond, Ping Xu, Irina Mohorianu, Annabel Whibley, David Field,
Hugo Tavares, Matthew Couchman, et al. “Evolution of Flower Color Pattern through
Selection on Regulatory Small RNAs.” Science. American Association for
the Advancement of Science, 2017. https://doi.org/10.1126/science.aao3526.
ieee: D. Bradley et al., “Evolution of flower color pattern through selection
on regulatory small RNAs,” Science, vol. 358, no. 6365. American Association
for the Advancement of Science, pp. 925–928, 2017.
ista: Bradley D, Xu P, Mohorianu I, Whibley A, Field D, Tavares H, Couchman M, Copsey
L, Carpenter R, Li M, Li Q, Xue Y, Dalmay T, Coen E. 2017. Evolution of flower
color pattern through selection on regulatory small RNAs. Science. 358(6365),
925–928.
mla: Bradley, Desmond, et al. “Evolution of Flower Color Pattern through Selection
on Regulatory Small RNAs.” Science, vol. 358, no. 6365, American Association
for the Advancement of Science, 2017, pp. 925–28, doi:10.1126/science.aao3526.
short: D. Bradley, P. Xu, I. Mohorianu, A. Whibley, D. Field, H. Tavares, M. Couchman,
L. Copsey, R. Carpenter, M. Li, Q. Li, Y. Xue, T. Dalmay, E. Coen, Science 358
(2017) 925–928.
date_created: 2018-12-11T11:47:29Z
date_published: 2017-11-17T00:00:00Z
date_updated: 2021-01-12T08:06:10Z
day: '17'
department:
- _id: NiBa
doi: 10.1126/science.aao3526
intvolume: ' 358'
issue: '6365'
language:
- iso: eng
month: '11'
oa_version: None
page: 925 - 928
publication: Science
publication_identifier:
issn:
- '00368075'
publication_status: published
publisher: American Association for the Advancement of Science
publist_id: '7193'
quality_controlled: '1'
scopus_import: 1
status: public
title: Evolution of flower color pattern through selection on regulatory small RNAs
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 358
year: '2017'
...