---
_id: '6291'
abstract:
- lang: eng
text: Bacteria and their pathogens – phages – are the most abundant living entities
on Earth. Throughout their coevolution, bacteria have evolved multiple immune
systems to overcome the ubiquitous threat from the phages. Although the molecu-
lar details of these immune systems’ functions are relatively well understood,
their epidemiological consequences for the phage-bacterial communities have been
largely neglected. In this thesis we employed both experimental and theoretical
methods to explore whether herd and social immunity may arise in bacterial popu-
lations. Using our experimental system consisting of Escherichia coli strains
with a CRISPR based immunity to the T7 phage we show that herd immunity arises
in phage-bacterial communities and that it is accentuated when the populations
are spatially structured. By fitting a mathematical model, we inferred expressions
for the herd immunity threshold and the velocity of spread of a phage epidemic
in partially resistant bacterial populations, which both depend on the bacterial
growth rate, phage burst size and phage latent period. We also investigated the
poten- tial for social immunity in Streptococcus thermophilus and its phage 2972
using a bioinformatic analysis of potentially coding short open reading frames
with a signalling signature, encoded within the CRISPR associated genes. Subsequently,
we tested one identified potentially signalling peptide and found that its addition
to a phage-challenged culture increases probability of survival of bacteria two
fold, although the results were only marginally significant. Together, these results
demonstrate that the ubiquitous arms races between bacteria and phages have further
consequences at the level of the population.
alternative_title:
- ISTA Thesis
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
citation:
ama: Payne P. Bacterial herd and social immunity to phages. 2017.
apa: Payne, P. (2017). Bacterial herd and social immunity to phages. Institute
of Science and Technology Austria.
chicago: Payne, Pavel. “Bacterial Herd and Social Immunity to Phages.” Institute
of Science and Technology Austria, 2017.
ieee: P. Payne, “Bacterial herd and social immunity to phages,” Institute of Science
and Technology Austria, 2017.
ista: Payne P. 2017. Bacterial herd and social immunity to phages. Institute of
Science and Technology Austria.
mla: Payne, Pavel. Bacterial Herd and Social Immunity to Phages. Institute
of Science and Technology Austria, 2017.
short: P. Payne, Bacterial Herd and Social Immunity to Phages, Institute of Science
and Technology Austria, 2017.
date_created: 2019-04-09T15:16:45Z
date_published: 2017-02-01T00:00:00Z
date_updated: 2023-09-07T12:00:00Z
day: '01'
ddc:
- '570'
degree_awarded: PhD
department:
- _id: NiBa
- _id: JoBo
file:
- access_level: closed
checksum: a0fc5c26a89c0ea759947ffba87d0d8f
content_type: application/pdf
creator: dernst
date_created: 2019-04-09T15:15:32Z
date_updated: 2020-07-14T12:47:27Z
file_id: '6292'
file_name: thesis_pavel_payne_final_w_signature_page.pdf
file_size: 3025175
relation: main_file
- access_level: open_access
checksum: af531e921a7f64a9e0af4cd8783b2226
content_type: application/pdf
creator: dernst
date_created: 2021-02-22T13:45:59Z
date_updated: 2021-02-22T13:45:59Z
file_id: '9187'
file_name: 2017_Payne_Thesis.pdf
file_size: 3111536
relation: main_file
success: 1
file_date_updated: 2021-02-22T13:45:59Z
has_accepted_license: '1'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: '83'
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
status: public
supervisor:
- 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: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
title: Bacterial herd and social immunity to phages
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2017'
...
---
_id: '1063'
abstract:
- lang: eng
text: Severe environmental change can drive a population extinct unless the population
adapts in time to the new conditions (“evolutionary rescue”). How does biparental
sexual reproduction influence the chances of population persistence compared to
clonal reproduction or selfing? In this article, we set up a one‐locus two‐allele
model for adaptation in diploid species, where rescue is contingent on the establishment
of the mutant homozygote. Reproduction can occur by random mating, selfing, or
clonally. Random mating generates and destroys the rescue mutant; selfing is efficient
at generating it but at the same time depletes the heterozygote, which can lead
to a low mutant frequency in the standing genetic variation. Due to these (and
other) antagonistic effects, we find a nontrivial dependence of population survival
on the rate of sex/selfing, which is strongly influenced by the dominance coefficient
of the mutation before and after the environmental change. Importantly, since
mating with the wild‐type breaks the mutant homozygote up, a slow decay of the
wild‐type population size can impede rescue in randomly mating populations.
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
citation:
ama: Uecker H. Evolutionary rescue in randomly mating, selfing, and clonal populations.
Evolution. 2017;71(4):845-858. doi:10.1111/evo.13191
apa: Uecker, H. (2017). Evolutionary rescue in randomly mating, selfing, and clonal
populations. Evolution. Wiley-Blackwell. https://doi.org/10.1111/evo.13191
chicago: Uecker, Hildegard. “Evolutionary Rescue in Randomly Mating, Selfing, and
Clonal Populations.” Evolution. Wiley-Blackwell, 2017. https://doi.org/10.1111/evo.13191.
ieee: H. Uecker, “Evolutionary rescue in randomly mating, selfing, and clonal populations,”
Evolution, vol. 71, no. 4. Wiley-Blackwell, pp. 845–858, 2017.
ista: Uecker H. 2017. Evolutionary rescue in randomly mating, selfing, and clonal
populations. Evolution. 71(4), 845–858.
mla: Uecker, Hildegard. “Evolutionary Rescue in Randomly Mating, Selfing, and Clonal
Populations.” Evolution, vol. 71, no. 4, Wiley-Blackwell, 2017, pp. 845–58,
doi:10.1111/evo.13191.
short: H. Uecker, Evolution 71 (2017) 845–858.
date_created: 2018-12-11T11:49:57Z
date_published: 2017-04-01T00:00:00Z
date_updated: 2025-05-28T11:42:51Z
day: '01'
department:
- _id: NiBa
doi: 10.1111/evo.13191
ec_funded: 1
external_id:
isi:
- '000398545200003'
intvolume: ' 71'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://biorxiv.org/content/early/2016/10/14/081042
month: '04'
oa: 1
oa_version: Submitted Version
page: 845 - 858
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_identifier:
issn:
- '00143820'
publication_status: published
publisher: Wiley-Blackwell
publist_id: '6327'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Evolutionary rescue in randomly mating, selfing, and clonal populations
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 71
year: '2017'
...
---
_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: '951'
abstract:
- lang: eng
text: Dengue-suppressing Wolbachia strains are promising tools for arbovirus control,
particularly as they have the potential to self-spread following local introductions.
To test this, we followed the frequency of the transinfected Wolbachia strain
wMel through Ae. aegypti in Cairns, Australia, following releases at 3 nonisolated
locations within the city in early 2013. Spatial spread was analysed graphically
using interpolation and by fitting a statistical model describing the position
and width of the wave. For the larger 2 of the 3 releases (covering 0.97 km2 and
0.52 km2), we observed slow but steady spatial spread, at about 100–200 m per
year, roughly consistent with theoretical predictions. In contrast, the smallest
release (0.11 km2) produced erratic temporal and spatial dynamics, with little
evidence of spread after 2 years. This is consistent with the prediction concerning
fitness-decreasing Wolbachia transinfections that a minimum release area is needed
to achieve stable local establishment and spread in continuous habitats. Our graphical
and likelihood analyses produced broadly consistent estimates of wave speed and
wave width. Spread at all sites was spatially heterogeneous, suggesting that environmental
heterogeneity will affect large-scale Wolbachia transformations of urban mosquito
populations. The persistence and spread of Wolbachia in release areas meeting
minimum area requirements indicates the promise of successful large-scale population
transfo
article_number: e2001894
article_processing_charge: No
author:
- first_name: Tom
full_name: Schmidt, Tom
last_name: Schmidt
- 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: Gordana
full_name: Rasic, Gordana
last_name: Rasic
- first_name: Andrew
full_name: Turley, Andrew
last_name: Turley
- first_name: Brian
full_name: Montgomery, Brian
last_name: Montgomery
- first_name: Inaki
full_name: Iturbe Ormaetxe, Inaki
last_name: Iturbe Ormaetxe
- first_name: Peter
full_name: Cook, Peter
last_name: Cook
- first_name: Peter
full_name: Ryan, Peter
last_name: Ryan
- first_name: Scott
full_name: Ritchie, Scott
last_name: Ritchie
- first_name: Ary
full_name: Hoffmann, Ary
last_name: Hoffmann
- first_name: Scott
full_name: O’Neill, Scott
last_name: O’Neill
- first_name: Michael
full_name: Turelli, Michael
last_name: Turelli
citation:
ama: Schmidt T, Barton NH, Rasic G, et al. Local introduction and heterogeneous
spatial spread of dengue-suppressing Wolbachia through an urban population of
Aedes Aegypti. PLoS Biology. 2017;15(5). doi:10.1371/journal.pbio.2001894
apa: Schmidt, T., Barton, N. H., Rasic, G., Turley, A., Montgomery, B., Iturbe Ormaetxe,
I., … Turelli, M. (2017). Local introduction and heterogeneous spatial spread
of dengue-suppressing Wolbachia through an urban population of Aedes Aegypti.
PLoS Biology. Public Library of Science. https://doi.org/10.1371/journal.pbio.2001894
chicago: Schmidt, Tom, Nicholas H Barton, Gordana Rasic, Andrew Turley, Brian Montgomery,
Inaki Iturbe Ormaetxe, Peter Cook, et al. “Local Introduction and Heterogeneous
Spatial Spread of Dengue-Suppressing Wolbachia through an Urban Population of
Aedes Aegypti.” PLoS Biology. Public Library of Science, 2017. https://doi.org/10.1371/journal.pbio.2001894.
ieee: T. Schmidt et al., “Local introduction and heterogeneous spatial spread
of dengue-suppressing Wolbachia through an urban population of Aedes Aegypti,”
PLoS Biology, vol. 15, no. 5. Public Library of Science, 2017.
ista: Schmidt T, Barton NH, Rasic G, Turley A, Montgomery B, Iturbe Ormaetxe I,
Cook P, Ryan P, Ritchie S, Hoffmann A, O’Neill S, Turelli M. 2017. Local introduction
and heterogeneous spatial spread of dengue-suppressing Wolbachia through an urban
population of Aedes Aegypti. PLoS Biology. 15(5), e2001894.
mla: Schmidt, Tom, et al. “Local Introduction and Heterogeneous Spatial Spread of
Dengue-Suppressing Wolbachia through an Urban Population of Aedes Aegypti.” PLoS
Biology, vol. 15, no. 5, e2001894, Public Library of Science, 2017, doi:10.1371/journal.pbio.2001894.
short: T. Schmidt, N.H. Barton, G. Rasic, A. Turley, B. Montgomery, I. Iturbe Ormaetxe,
P. Cook, P. Ryan, S. Ritchie, A. Hoffmann, S. O’Neill, M. Turelli, PLoS Biology
15 (2017).
date_created: 2018-12-11T11:49:22Z
date_published: 2017-05-30T00:00:00Z
date_updated: 2023-09-22T10:02:52Z
day: '30'
ddc:
- '576'
department:
- _id: NiBa
doi: 10.1371/journal.pbio.2001894
external_id:
isi:
- '000402520000012'
file:
- access_level: open_access
checksum: 107d290bd1159ec77b734eb2824b01c8
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:08:30Z
date_updated: 2020-07-14T12:48:16Z
file_id: '4691'
file_name: IST-2017-843-v1+1_journal.pbio.2001894.pdf
file_size: 5541206
relation: main_file
file_date_updated: 2020-07-14T12:48:16Z
has_accepted_license: '1'
intvolume: ' 15'
isi: 1
issue: '5'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
publication: PLoS Biology
publication_identifier:
issn:
- '15449173'
publication_status: published
publisher: Public Library of Science
publist_id: '6464'
pubrep_id: '843'
quality_controlled: '1'
related_material:
record:
- id: '9856'
relation: research_data
status: public
- id: '9857'
relation: research_data
status: public
- id: '9858'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Local introduction and heterogeneous spatial spread of dengue-suppressing Wolbachia
through an urban population of Aedes Aegypti
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: 15
year: '2017'
...
---
_id: '952'
abstract:
- lang: eng
text: A novel strategy for controlling the spread of arboviral diseases such as
dengue, Zika and chikungunya is to transform mosquito populations with virus-suppressing
Wolbachia. In general, Wolbachia transinfected into mosquitoes induce fitness
costs through lower viability or fecundity. These maternally inherited bacteria
also produce a frequency-dependent advantage for infected females by inducing
cytoplasmic incompatibility (CI), which kills the embryos produced by uninfected
females mated to infected males. These competing effects, a frequency-dependent
advantage and frequency-independent costs, produce bistable Wolbachia frequency
dynamics. Above a threshold frequency, denoted pˆ, CI drives fitness-decreasing
Wolbachia transinfections through local populations; but below pˆ, infection frequencies
tend to decline to zero. If pˆ is not too high, CI also drives spatial spread
once infections become established over sufficiently large areas. We illustrate
how simple models provide testable predictions concerning the spatial and temporal
dynamics of Wolbachia introductions, focusing on rate of spatial spread, the shape
of spreading waves, and the conditions for initiating spread from local introductions.
First, we consider the robustness of diffusion-based predictions to incorporating
two important features of wMel-Aedes aegypti biology that may be inconsistent
with the diffusion approximations, namely fast local dynamics induced by complete
CI (i.e., all embryos produced from incompatible crosses die) and long-tailed,
non-Gaussian dispersal. With complete CI, our numerical analyses show that long-tailed
dispersal changes wave-width predictions only slightly; but it can significantly
reduce wave speed relative to the diffusion prediction; it also allows smaller
local introductions to initiate spatial spread. Second, we use approximations
for pˆ and dispersal distances to predict the outcome of 2013 releases of wMel-infected
Aedes aegypti in Cairns, Australia, Third, we describe new data from Ae. aegypti
populations near Cairns, Australia that demonstrate long-distance dispersal and
provide an approximate lower bound on pˆ for wMel in northeastern Australia. Finally,
we apply our analyses to produce operational guidelines for efficient transformation
of vector populations over large areas. We demonstrate that even very slow spatial
spread, on the order of 10-20 m/month (as predicted), can produce area-wide population
transformation within a few years following initial releases covering about 20-30%
of the target area.
article_processing_charge: No
author:
- first_name: Michael
full_name: Turelli, Michael
last_name: Turelli
- 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: 'Turelli M, Barton NH. Deploying dengue-suppressing Wolbachia: Robust models
predict slow but effective spatial spread in Aedes aegypti. Theoretical Population
Biology. 2017;115:45-60. doi:10.1016/j.tpb.2017.03.003'
apa: 'Turelli, M., & Barton, N. H. (2017). Deploying dengue-suppressing Wolbachia:
Robust models predict slow but effective spatial spread in Aedes aegypti. Theoretical
Population Biology. Elsevier. https://doi.org/10.1016/j.tpb.2017.03.003'
chicago: 'Turelli, Michael, and Nicholas H Barton. “Deploying Dengue-Suppressing
Wolbachia: Robust Models Predict Slow but Effective Spatial Spread in Aedes Aegypti.”
Theoretical Population Biology. Elsevier, 2017. https://doi.org/10.1016/j.tpb.2017.03.003.'
ieee: 'M. Turelli and N. H. Barton, “Deploying dengue-suppressing Wolbachia: Robust
models predict slow but effective spatial spread in Aedes aegypti,” Theoretical
Population Biology, vol. 115. Elsevier, pp. 45–60, 2017.'
ista: 'Turelli M, Barton NH. 2017. Deploying dengue-suppressing Wolbachia: Robust
models predict slow but effective spatial spread in Aedes aegypti. Theoretical
Population Biology. 115, 45–60.'
mla: 'Turelli, Michael, and Nicholas H. Barton. “Deploying Dengue-Suppressing Wolbachia:
Robust Models Predict Slow but Effective Spatial Spread in Aedes Aegypti.” Theoretical
Population Biology, vol. 115, Elsevier, 2017, pp. 45–60, doi:10.1016/j.tpb.2017.03.003.'
short: M. Turelli, N.H. Barton, Theoretical Population Biology 115 (2017) 45–60.
date_created: 2018-12-11T11:49:22Z
date_published: 2017-06-01T00:00:00Z
date_updated: 2023-09-22T10:02:21Z
day: '01'
ddc:
- '576'
department:
- _id: NiBa
doi: 10.1016/j.tpb.2017.03.003
external_id:
pmid:
- '28411063'
file:
- access_level: open_access
checksum: 9aeff86fa7de69f7a15cf4fc60d57d01
content_type: application/pdf
creator: dernst
date_created: 2019-04-17T06:39:45Z
date_updated: 2020-07-14T12:48:16Z
file_id: '6327'
file_name: 2017_TheoreticalPopulationBio_Turelli.pdf
file_size: 2073856
relation: main_file
file_date_updated: 2020-07-14T12:48:16Z
has_accepted_license: '1'
intvolume: ' 115'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Submitted Version
page: 45 - 60
pmid: 1
publication: Theoretical Population Biology
publication_identifier:
issn:
- '00405809'
publication_status: published
publisher: Elsevier
publist_id: '6463'
pubrep_id: '972'
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Deploying dengue-suppressing Wolbachia: Robust models predict slow but effective
spatial spread in Aedes aegypti'
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: '2017'
...
---
_id: '953'
abstract:
- lang: eng
text: 'The role of natural selection in the evolution of adaptive phenotypes has
undergone constant probing by evolutionary biologists, employing both theoretical
and empirical approaches. As Darwin noted, natural selection can act together
with other processes, including random changes in the frequencies of phenotypic
differences that are not under strong selection, and changes in the environment,
which may reflect evolutionary changes in the organisms themselves. As understanding
of genetics developed after 1900, the new genetic discoveries were incorporated
into evolutionary biology. The resulting general principles were summarized by
Julian Huxley in his 1942 book Evolution: the modern synthesis. Here, we examine
how recent advances in genetics, developmental biology and molecular biology,
including epigenetics, relate to today''s understanding of the evolution of adaptations.
We illustrate how careful genetic studies have repeatedly shown that apparently
puzzling results in a wide diversity of organisms involve processes that are consistent
with neo-Darwinism. They do not support important roles in adaptation for processes
such as directed mutation or the inheritance of acquired characters, and therefore
no radical revision of our understanding of the mechanism of adaptive evolution
is needed.'
article_number: '20162864'
article_processing_charge: No
author:
- first_name: Deborah
full_name: Charlesworth, Deborah
last_name: Charlesworth
- 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: Brian
full_name: Charlesworth, Brian
last_name: Charlesworth
citation:
ama: Charlesworth D, Barton NH, Charlesworth B. The sources of adaptive evolution.
Proceedings of the Royal Society of London Series B Biological Sciences.
2017;284(1855). doi:10.1098/rspb.2016.2864
apa: Charlesworth, D., Barton, N. H., & Charlesworth, B. (2017). The sources
of adaptive evolution. Proceedings of the Royal Society of London Series B
Biological Sciences. Royal Society, The. https://doi.org/10.1098/rspb.2016.2864
chicago: Charlesworth, Deborah, Nicholas H Barton, and Brian Charlesworth. “The
Sources of Adaptive Evolution.” Proceedings of the Royal Society of London
Series B Biological Sciences. Royal Society, The, 2017. https://doi.org/10.1098/rspb.2016.2864.
ieee: D. Charlesworth, N. H. Barton, and B. Charlesworth, “The sources of adaptive
evolution,” Proceedings of the Royal Society of London Series B Biological
Sciences, vol. 284, no. 1855. Royal Society, The, 2017.
ista: Charlesworth D, Barton NH, Charlesworth B. 2017. The sources of adaptive evolution.
Proceedings of the Royal Society of London Series B Biological Sciences. 284(1855),
20162864.
mla: Charlesworth, Deborah, et al. “The Sources of Adaptive Evolution.” Proceedings
of the Royal Society of London Series B Biological Sciences, vol. 284, no.
1855, 20162864, Royal Society, The, 2017, doi:10.1098/rspb.2016.2864.
short: D. Charlesworth, N.H. Barton, B. Charlesworth, Proceedings of the Royal Society
of London Series B Biological Sciences 284 (2017).
date_created: 2018-12-11T11:49:23Z
date_published: 2017-05-31T00:00:00Z
date_updated: 2023-09-22T10:01:48Z
day: '31'
department:
- _id: NiBa
doi: 10.1098/rspb.2016.2864
external_id:
isi:
- '000405148800021'
pmid:
- '28566483'
intvolume: ' 284'
isi: 1
issue: '1855'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5454256/
month: '05'
oa: 1
oa_version: Submitted Version
pmid: 1
publication: Proceedings of the Royal Society of London Series B Biological Sciences
publication_status: published
publisher: Royal Society, The
publist_id: '6462'
quality_controlled: '1'
scopus_import: '1'
status: public
title: The sources of adaptive evolution
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 284
year: '2017'
...
---
_id: '954'
abstract:
- lang: eng
text: Understanding the relation between genotype and phenotype remains a major
challenge. The difficulty of predicting individual mutation effects, and particularly
the interactions between them, has prevented the development of a comprehensive
theory that links genotypic changes to their phenotypic effects. We show that
a general thermodynamic framework for gene regulation, based on a biophysical
understanding of protein-DNA binding, accurately predicts the sign of epistasis
in a canonical cis-regulatory element consisting of overlapping RNA polymerase
and repressor binding sites. Sign and magnitude of individual mutation effects
are sufficient to predict the sign of epistasis and its environmental dependence.
Thus, the thermodynamic model offers the correct null prediction for epistasis
between mutations across DNA-binding sites. Our results indicate that a predictive
theory for the effects of cis-regulatory mutations is possible from first principles,
as long as the essential molecular mechanisms and the constraints these impose
on a biological system are accounted for.
article_number: e25192
article_processing_charge: Yes
author:
- first_name: Mato
full_name: Lagator, Mato
id: 345D25EC-F248-11E8-B48F-1D18A9856A87
last_name: Lagator
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Jonathan P
full_name: Bollback, Jonathan P
id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87
last_name: Bollback
orcid: 0000-0002-4624-4612
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Lagator M, Paixao T, Barton NH, Bollback JP, Guet CC. On the mechanistic nature
of epistasis in a canonical cis-regulatory element. eLife. 2017;6. doi:10.7554/eLife.25192
apa: Lagator, M., Paixao, T., Barton, N. H., Bollback, J. P., & Guet, C. C.
(2017). On the mechanistic nature of epistasis in a canonical cis-regulatory element.
ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.25192
chicago: Lagator, Mato, Tiago Paixao, Nicholas H Barton, Jonathan P Bollback, and
Calin C Guet. “On the Mechanistic Nature of Epistasis in a Canonical Cis-Regulatory
Element.” ELife. eLife Sciences Publications, 2017. https://doi.org/10.7554/eLife.25192.
ieee: M. Lagator, T. Paixao, N. H. Barton, J. P. Bollback, and C. C. Guet, “On the
mechanistic nature of epistasis in a canonical cis-regulatory element,” eLife,
vol. 6. eLife Sciences Publications, 2017.
ista: Lagator M, Paixao T, Barton NH, Bollback JP, Guet CC. 2017. On the mechanistic
nature of epistasis in a canonical cis-regulatory element. eLife. 6, e25192.
mla: Lagator, Mato, et al. “On the Mechanistic Nature of Epistasis in a Canonical
Cis-Regulatory Element.” ELife, vol. 6, e25192, eLife Sciences Publications,
2017, doi:10.7554/eLife.25192.
short: M. Lagator, T. Paixao, N.H. Barton, J.P. Bollback, C.C. Guet, ELife 6 (2017).
date_created: 2018-12-11T11:49:23Z
date_published: 2017-05-18T00:00:00Z
date_updated: 2023-09-22T10:01:17Z
day: '18'
ddc:
- '576'
department:
- _id: CaGu
- _id: NiBa
- _id: JoBo
doi: 10.7554/eLife.25192
ec_funded: 1
external_id:
isi:
- '000404024800001'
file:
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checksum: 59cdd4400fb41280122d414fea971546
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:17:49Z
date_updated: 2020-07-14T12:48:16Z
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file_name: IST-2017-841-v1+1_elife-25192-v2.pdf
file_size: 2441529
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checksum: b69024880558b858eb8c5d47a92b6377
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creator: system
date_created: 2018-12-12T10:17:50Z
date_updated: 2020-07-14T12:48:16Z
file_id: '5307'
file_name: IST-2017-841-v1+2_elife-25192-figures-v2.pdf
file_size: 3752660
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file_date_updated: 2020-07-14T12:48:16Z
has_accepted_license: '1'
intvolume: ' 6'
isi: 1
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
project:
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 2578D616-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '648440'
name: Selective Barriers to Horizontal Gene Transfer
publication: eLife
publication_identifier:
issn:
- 2050084X
publication_status: published
publisher: eLife Sciences Publications
publist_id: '6460'
pubrep_id: '841'
quality_controlled: '1'
scopus_import: '1'
status: public
title: On the mechanistic nature of epistasis in a canonical cis-regulatory element
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 6
year: '2017'
...
---
_id: '955'
abstract:
- lang: eng
text: 'Gene expression is controlled by networks of regulatory proteins that interact
specifically with external signals and DNA regulatory sequences. These interactions
force the network components to co-evolve so as to continually maintain function.
Yet, existing models of evolution mostly focus on isolated genetic elements. In
contrast, we study the essential process by which regulatory networks grow: the
duplication and subsequent specialization of network components. We synthesize
a biophysical model of molecular interactions with the evolutionary framework
to find the conditions and pathways by which new regulatory functions emerge.
We show that specialization of new network components is usually slow, but can
be drastically accelerated in the presence of regulatory crosstalk and mutations
that promote promiscuous interactions between network components.'
article_number: '216'
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Tamar
full_name: Friedlander, Tamar
id: 36A5845C-F248-11E8-B48F-1D18A9856A87
last_name: Friedlander
- first_name: Roshan
full_name: Prizak, Roshan
id: 4456104E-F248-11E8-B48F-1D18A9856A87
last_name: Prizak
- 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: Friedlander T, Prizak R, Barton NH, Tkačik G. Evolution of new regulatory functions
on biophysically realistic fitness landscapes. Nature Communications. 2017;8(1).
doi:10.1038/s41467-017-00238-8
apa: Friedlander, T., Prizak, R., Barton, N. H., & Tkačik, G. (2017). Evolution
of new regulatory functions on biophysically realistic fitness landscapes. Nature
Communications. Nature Publishing Group. https://doi.org/10.1038/s41467-017-00238-8
chicago: Friedlander, Tamar, Roshan Prizak, Nicholas H Barton, and Gašper Tkačik.
“Evolution of New Regulatory Functions on Biophysically Realistic Fitness Landscapes.”
Nature Communications. Nature Publishing Group, 2017. https://doi.org/10.1038/s41467-017-00238-8.
ieee: T. Friedlander, R. Prizak, N. H. Barton, and G. Tkačik, “Evolution of new
regulatory functions on biophysically realistic fitness landscapes,” Nature
Communications, vol. 8, no. 1. Nature Publishing Group, 2017.
ista: Friedlander T, Prizak R, Barton NH, Tkačik G. 2017. Evolution of new regulatory
functions on biophysically realistic fitness landscapes. Nature Communications.
8(1), 216.
mla: Friedlander, Tamar, et al. “Evolution of New Regulatory Functions on Biophysically
Realistic Fitness Landscapes.” Nature Communications, vol. 8, no. 1, 216,
Nature Publishing Group, 2017, doi:10.1038/s41467-017-00238-8.
short: T. Friedlander, R. Prizak, N.H. Barton, G. Tkačik, Nature Communications
8 (2017).
date_created: 2018-12-11T11:49:23Z
date_published: 2017-08-09T00:00:00Z
date_updated: 2025-05-28T11:42:50Z
day: '09'
ddc:
- '539'
- '576'
department:
- _id: GaTk
- _id: NiBa
doi: 10.1038/s41467-017-00238-8
ec_funded: 1
external_id:
isi:
- '000407198800005'
file:
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checksum: 29a1b5db458048d3bd5c67e0e2a56818
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creator: system
date_created: 2018-12-12T10:14:14Z
date_updated: 2020-07-14T12:48:16Z
file_id: '5064'
file_name: IST-2017-864-v1+1_s41467-017-00238-8.pdf
file_size: 998157
relation: main_file
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checksum: 7b78401e52a576cf3e6bbf8d0abadc17
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:14:15Z
date_updated: 2020-07-14T12:48:16Z
file_id: '5065'
file_name: IST-2017-864-v1+2_41467_2017_238_MOESM1_ESM.pdf
file_size: 9715993
relation: main_file
file_date_updated: 2020-07-14T12:48:16Z
has_accepted_license: '1'
intvolume: ' 8'
isi: 1
issue: '1'
language:
- iso: eng
month: '08'
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: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
- _id: 254E9036-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P28844-B27
name: Biophysics of information processing in gene regulation
publication: Nature Communications
publication_identifier:
issn:
- '20411723'
publication_status: published
publisher: Nature Publishing Group
publist_id: '6459'
pubrep_id: '864'
quality_controlled: '1'
related_material:
record:
- id: '6071'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Evolution of new regulatory functions on biophysically realistic fitness landscapes
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: 8
year: '2017'
...
---
_id: '9842'
abstract:
- lang: eng
text: Mathematica notebooks used to generate figures.
article_processing_charge: No
author:
- first_name: Alison
full_name: Etheridge, Alison
last_name: Etheridge
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
citation:
ama: 'Etheridge A, Barton NH. Data for: Establishment in a new habitat by polygenic
adaptation. 2017. doi:10.17632/nw68fxzjpm.1'
apa: 'Etheridge, A., & Barton, N. H. (2017). Data for: Establishment in a new
habitat by polygenic adaptation. Mendeley Data. https://doi.org/10.17632/nw68fxzjpm.1'
chicago: 'Etheridge, Alison, and Nicholas H Barton. “Data for: Establishment in
a New Habitat by Polygenic Adaptation.” Mendeley Data, 2017. https://doi.org/10.17632/nw68fxzjpm.1.'
ieee: 'A. Etheridge and N. H. Barton, “Data for: Establishment in a new habitat
by polygenic adaptation.” Mendeley Data, 2017.'
ista: 'Etheridge A, Barton NH. 2017. Data for: Establishment in a new habitat by
polygenic adaptation, Mendeley Data, 10.17632/nw68fxzjpm.1.'
mla: 'Etheridge, Alison, and Nicholas H. Barton. Data for: Establishment in a
New Habitat by Polygenic Adaptation. Mendeley Data, 2017, doi:10.17632/nw68fxzjpm.1.'
short: A. Etheridge, N.H. Barton, (2017).
date_created: 2021-08-09T13:18:55Z
date_published: 2017-12-29T00:00:00Z
date_updated: 2025-05-28T11:56:59Z
day: '29'
department:
- _id: NiBa
doi: 10.17632/nw68fxzjpm.1
main_file_link:
- open_access: '1'
url: https://doi.org/10.17632/nw68fxzjpm.1
month: '12'
oa: 1
oa_version: Published Version
publisher: Mendeley Data
related_material:
record:
- id: '564'
relation: used_in_publication
status: public
status: public
title: 'Data for: Establishment in a new habitat by polygenic adaptation'
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2017'
...
---
_id: '9849'
abstract:
- lang: eng
text: This text provides additional information about the model, a derivation of
the analytic results in Eq (4), and details about simulations of an additional
parameter set.
article_processing_charge: No
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
- 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. Modelling and simulation details. 2017.
doi:10.1371/journal.pcbi.1005609.s001
apa: Lukacisinova, M., Novak, S., & Paixao, T. (2017). Modelling and simulation
details. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005609.s001
chicago: Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Modelling and
Simulation Details.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pcbi.1005609.s001.
ieee: M. Lukacisinova, S. Novak, and T. Paixao, “Modelling and simulation details.”
Public Library of Science, 2017.
ista: Lukacisinova M, Novak S, Paixao T. 2017. Modelling and simulation details,
Public Library of Science, 10.1371/journal.pcbi.1005609.s001.
mla: Lukacisinova, Marta, et al. Modelling and Simulation Details. Public
Library of Science, 2017, doi:10.1371/journal.pcbi.1005609.s001.
short: M. Lukacisinova, S. Novak, T. Paixao, (2017).
date_created: 2021-08-09T14:02:34Z
date_published: 2017-07-18T00:00:00Z
date_updated: 2023-02-23T12:55:39Z
day: '18'
department:
- _id: ToBo
- _id: NiBa
- _id: CaGu
doi: 10.1371/journal.pcbi.1005609.s001
month: '07'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '696'
relation: used_in_publication
status: public
status: public
title: Modelling and simulation details
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2017'
...
---
_id: '9850'
abstract:
- lang: eng
text: In this text, we discuss how a cost of resistance and the possibility of lethal
mutations impact our model.
article_processing_charge: No
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
- 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. Extensions of the model. 2017. doi:10.1371/journal.pcbi.1005609.s002
apa: Lukacisinova, M., Novak, S., & Paixao, T. (2017). Extensions of the model.
Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005609.s002
chicago: Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Extensions of
the Model.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pcbi.1005609.s002.
ieee: M. Lukacisinova, S. Novak, and T. Paixao, “Extensions of the model.” Public
Library of Science, 2017.
ista: Lukacisinova M, Novak S, Paixao T. 2017. Extensions of the model, Public Library
of Science, 10.1371/journal.pcbi.1005609.s002.
mla: Lukacisinova, Marta, et al. Extensions of the Model. Public Library
of Science, 2017, doi:10.1371/journal.pcbi.1005609.s002.
short: M. Lukacisinova, S. Novak, T. Paixao, (2017).
date_created: 2021-08-09T14:05:24Z
date_published: 2017-07-18T00:00:00Z
date_updated: 2023-02-23T12:55:39Z
day: '18'
department:
- _id: ToBo
- _id: CaGu
- _id: NiBa
doi: 10.1371/journal.pcbi.1005609.s002
month: '07'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '696'
relation: used_in_publication
status: public
status: public
title: Extensions of the model
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2017'
...
---
_id: '9851'
abstract:
- lang: eng
text: Based on the intuitive derivation of the dynamics of SIM allele frequency
pM in the main text, we present a heuristic prediction for the long-term SIM allele
frequencies with χ > 1 stresses and compare it to numerical simulations.
article_processing_charge: No
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
- 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. Heuristic prediction for multiple stresses.
2017. doi:10.1371/journal.pcbi.1005609.s003
apa: Lukacisinova, M., Novak, S., & Paixao, T. (2017). Heuristic prediction
for multiple stresses. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005609.s003
chicago: Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Heuristic Prediction
for Multiple Stresses.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pcbi.1005609.s003.
ieee: M. Lukacisinova, S. Novak, and T. Paixao, “Heuristic prediction for multiple
stresses.” Public Library of Science, 2017.
ista: Lukacisinova M, Novak S, Paixao T. 2017. Heuristic prediction for multiple
stresses, Public Library of Science, 10.1371/journal.pcbi.1005609.s003.
mla: Lukacisinova, Marta, et al. Heuristic Prediction for Multiple Stresses.
Public Library of Science, 2017, doi:10.1371/journal.pcbi.1005609.s003.
short: M. Lukacisinova, S. Novak, T. Paixao, (2017).
date_created: 2021-08-09T14:08:14Z
date_published: 2017-07-18T00:00:00Z
date_updated: 2023-02-23T12:55:39Z
day: '18'
department:
- _id: ToBo
- _id: CaGu
- _id: NiBa
doi: 10.1371/journal.pcbi.1005609.s003
month: '07'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '696'
relation: used_in_publication
status: public
status: public
title: Heuristic prediction for multiple stresses
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2017'
...
---
_id: '9852'
abstract:
- lang: eng
text: We show how different combination strategies affect the fraction of individuals
that are multi-resistant.
article_processing_charge: No
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
- 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. Resistance frequencies for different combination
strategies. 2017. doi:10.1371/journal.pcbi.1005609.s004
apa: Lukacisinova, M., Novak, S., & Paixao, T. (2017). Resistance frequencies
for different combination strategies. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005609.s004
chicago: Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Resistance Frequencies
for Different Combination Strategies.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pcbi.1005609.s004.
ieee: M. Lukacisinova, S. Novak, and T. Paixao, “Resistance frequencies for different
combination strategies.” Public Library of Science, 2017.
ista: Lukacisinova M, Novak S, Paixao T. 2017. Resistance frequencies for different
combination strategies, Public Library of Science, 10.1371/journal.pcbi.1005609.s004.
mla: Lukacisinova, Marta, et al. Resistance Frequencies for Different Combination
Strategies. Public Library of Science, 2017, doi:10.1371/journal.pcbi.1005609.s004.
short: M. Lukacisinova, S. Novak, T. Paixao, (2017).
date_created: 2021-08-09T14:11:40Z
date_published: 2017-07-18T00:00:00Z
date_updated: 2023-02-23T12:55:39Z
day: '18'
department:
- _id: ToBo
- _id: CaGu
- _id: NiBa
doi: 10.1371/journal.pcbi.1005609.s004
month: '07'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '696'
relation: used_in_publication
status: public
status: public
title: Resistance frequencies for different combination strategies
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2017'
...
---
_id: '9856'
article_processing_charge: No
author:
- first_name: Tom
full_name: Schmidt, Tom
last_name: Schmidt
- 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: Gordana
full_name: Rasic, Gordana
last_name: Rasic
- first_name: Andrew
full_name: Turley, Andrew
last_name: Turley
- first_name: Brian
full_name: Montgomery, Brian
last_name: Montgomery
- first_name: Inaki
full_name: Iturbe Ormaetxe, Inaki
last_name: Iturbe Ormaetxe
- first_name: Peter
full_name: Cook, Peter
last_name: Cook
- first_name: Peter
full_name: Ryan, Peter
last_name: Ryan
- first_name: Scott
full_name: Ritchie, Scott
last_name: Ritchie
- first_name: Ary
full_name: Hoffmann, Ary
last_name: Hoffmann
- first_name: Scott
full_name: O’Neill, Scott
last_name: O’Neill
- first_name: Michael
full_name: Turelli, Michael
last_name: Turelli
citation:
ama: Schmidt T, Barton NH, Rasic G, et al. Supporting Information concerning additional
likelihood analyses and results. 2017. doi:10.1371/journal.pbio.2001894.s014
apa: Schmidt, T., Barton, N. H., Rasic, G., Turley, A., Montgomery, B., Iturbe Ormaetxe,
I., … Turelli, M. (2017). Supporting Information concerning additional likelihood
analyses and results. Public Library of Science. https://doi.org/10.1371/journal.pbio.2001894.s014
chicago: Schmidt, Tom, Nicholas H Barton, Gordana Rasic, Andrew Turley, Brian Montgomery,
Inaki Iturbe Ormaetxe, Peter Cook, et al. “Supporting Information Concerning Additional
Likelihood Analyses and Results.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pbio.2001894.s014.
ieee: T. Schmidt et al., “Supporting Information concerning additional likelihood
analyses and results.” Public Library of Science, 2017.
ista: Schmidt T, Barton NH, Rasic G, Turley A, Montgomery B, Iturbe Ormaetxe I,
Cook P, Ryan P, Ritchie S, Hoffmann A, O’Neill S, Turelli M. 2017. Supporting
Information concerning additional likelihood analyses and results, Public Library
of Science, 10.1371/journal.pbio.2001894.s014.
mla: Schmidt, Tom, et al. Supporting Information Concerning Additional Likelihood
Analyses and Results. Public Library of Science, 2017, doi:10.1371/journal.pbio.2001894.s014.
short: T. Schmidt, N.H. Barton, G. Rasic, A. Turley, B. Montgomery, I. Iturbe Ormaetxe,
P. Cook, P. Ryan, S. Ritchie, A. Hoffmann, S. O’Neill, M. Turelli, (2017).
date_created: 2021-08-10T07:36:04Z
date_published: 2017-05-30T00:00:00Z
date_updated: 2023-09-22T10:02:51Z
day: '30'
department:
- _id: NiBa
doi: 10.1371/journal.pbio.2001894.s014
month: '05'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '951'
relation: used_in_publication
status: public
status: public
title: Supporting Information concerning additional likelihood analyses and results
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2017'
...
---
_id: '9857'
article_processing_charge: No
author:
- first_name: Tom
full_name: Schmidt, Tom
last_name: Schmidt
- 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: Gordana
full_name: Rasic, Gordana
last_name: Rasic
- first_name: Andrew
full_name: Turley, Andrew
last_name: Turley
- first_name: Brian
full_name: Montgomery, Brian
last_name: Montgomery
- first_name: Inaki
full_name: Iturbe Ormaetxe, Inaki
last_name: Iturbe Ormaetxe
- first_name: Peter
full_name: Cook, Peter
last_name: Cook
- first_name: Peter
full_name: Ryan, Peter
last_name: Ryan
- first_name: Scott
full_name: Ritchie, Scott
last_name: Ritchie
- first_name: Ary
full_name: Hoffmann, Ary
last_name: Hoffmann
- first_name: Scott
full_name: O’Neill, Scott
last_name: O’Neill
- first_name: Michael
full_name: Turelli, Michael
last_name: Turelli
citation:
ama: Schmidt T, Barton NH, Rasic G, et al. Supporting information concerning observed
wMel frequencies and analyses of habitat variables. 2017. doi:10.1371/journal.pbio.2001894.s015
apa: Schmidt, T., Barton, N. H., Rasic, G., Turley, A., Montgomery, B., Iturbe Ormaetxe,
I., … Turelli, M. (2017). Supporting information concerning observed wMel frequencies
and analyses of habitat variables. Public Library of Science . https://doi.org/10.1371/journal.pbio.2001894.s015
chicago: Schmidt, Tom, Nicholas H Barton, Gordana Rasic, Andrew Turley, Brian Montgomery,
Inaki Iturbe Ormaetxe, Peter Cook, et al. “Supporting Information Concerning Observed
WMel Frequencies and Analyses of Habitat Variables.” Public Library of Science
, 2017. https://doi.org/10.1371/journal.pbio.2001894.s015.
ieee: T. Schmidt et al., “Supporting information concerning observed wMel
frequencies and analyses of habitat variables.” Public Library of Science , 2017.
ista: Schmidt T, Barton NH, Rasic G, Turley A, Montgomery B, Iturbe Ormaetxe I,
Cook P, Ryan P, Ritchie S, Hoffmann A, O’Neill S, Turelli M. 2017. Supporting
information concerning observed wMel frequencies and analyses of habitat variables,
Public Library of Science , 10.1371/journal.pbio.2001894.s015.
mla: Schmidt, Tom, et al. Supporting Information Concerning Observed WMel Frequencies
and Analyses of Habitat Variables. Public Library of Science , 2017, doi:10.1371/journal.pbio.2001894.s015.
short: T. Schmidt, N.H. Barton, G. Rasic, A. Turley, B. Montgomery, I. Iturbe Ormaetxe,
P. Cook, P. Ryan, S. Ritchie, A. Hoffmann, S. O’Neill, M. Turelli, (2017).
date_created: 2021-08-10T07:41:52Z
date_published: 2017-05-30T00:00:00Z
date_updated: 2023-09-22T10:02:51Z
day: '30'
department:
- _id: NiBa
doi: 10.1371/journal.pbio.2001894.s015
month: '05'
oa_version: Published Version
publisher: 'Public Library of Science '
related_material:
record:
- id: '951'
relation: used_in_publication
status: public
status: public
title: Supporting information concerning observed wMel frequencies and analyses of
habitat variables
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2017'
...
---
_id: '9858'
article_processing_charge: No
author:
- first_name: Tom
full_name: Schmidt, Tom
last_name: Schmidt
- 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: Gordana
full_name: Rasic, Gordana
last_name: Rasic
- first_name: Andrew
full_name: Turley, Andrew
last_name: Turley
- first_name: Brian
full_name: Montgomery, Brian
last_name: Montgomery
- first_name: Inaki
full_name: Iturbe Ormaetxe, Inaki
last_name: Iturbe Ormaetxe
- first_name: Peter
full_name: Cook, Peter
last_name: Cook
- first_name: Peter
full_name: Ryan, Peter
last_name: Ryan
- first_name: Scott
full_name: Ritchie, Scott
last_name: Ritchie
- first_name: Ary
full_name: Hoffmann, Ary
last_name: Hoffmann
- first_name: Scott
full_name: O’Neill, Scott
last_name: O’Neill
- first_name: Michael
full_name: Turelli, Michael
last_name: Turelli
citation:
ama: Schmidt T, Barton NH, Rasic G, et al. Excel file with data on mosquito densities,
Wolbachia infection status and housing characteristics. 2017. doi:10.1371/journal.pbio.2001894.s016
apa: Schmidt, T., Barton, N. H., Rasic, G., Turley, A., Montgomery, B., Iturbe Ormaetxe,
I., … Turelli, M. (2017). Excel file with data on mosquito densities, Wolbachia
infection status and housing characteristics. Public Library of Science. https://doi.org/10.1371/journal.pbio.2001894.s016
chicago: Schmidt, Tom, Nicholas H Barton, Gordana Rasic, Andrew Turley, Brian Montgomery,
Inaki Iturbe Ormaetxe, Peter Cook, et al. “Excel File with Data on Mosquito Densities,
Wolbachia Infection Status and Housing Characteristics.” Public Library of Science,
2017. https://doi.org/10.1371/journal.pbio.2001894.s016.
ieee: T. Schmidt et al., “Excel file with data on mosquito densities, Wolbachia
infection status and housing characteristics.” Public Library of Science, 2017.
ista: Schmidt T, Barton NH, Rasic G, Turley A, Montgomery B, Iturbe Ormaetxe I,
Cook P, Ryan P, Ritchie S, Hoffmann A, O’Neill S, Turelli M. 2017. Excel file
with data on mosquito densities, Wolbachia infection status and housing characteristics,
Public Library of Science, 10.1371/journal.pbio.2001894.s016.
mla: Schmidt, Tom, et al. Excel File with Data on Mosquito Densities, Wolbachia
Infection Status and Housing Characteristics. Public Library of Science, 2017,
doi:10.1371/journal.pbio.2001894.s016.
short: T. Schmidt, N.H. Barton, G. Rasic, A. Turley, B. Montgomery, I. Iturbe Ormaetxe,
P. Cook, P. Ryan, S. Ritchie, A. Hoffmann, S. O’Neill, M. Turelli, (2017).
date_created: 2021-08-10T07:47:07Z
date_published: 2017-05-30T00:00:00Z
date_updated: 2023-09-22T10:02:51Z
day: '30'
department:
- _id: NiBa
doi: 10.1371/journal.pbio.2001894.s016
month: '05'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '951'
relation: used_in_publication
status: public
status: public
title: Excel file with data on mosquito densities, Wolbachia infection status and
housing characteristics
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2017'
...
---
_id: '990'
abstract:
- lang: eng
text: Assortative mating is an important driver of speciation in populations with
gene flow and is predicted to evolve under certain conditions in few-locus models.
However, the evolution of assortment is less understood for mating based on quantitative
traits, which are often characterized by high genetic variability and extensive
linkage disequilibrium between trait loci. We explore this scenario for a two-deme
model with migration, by considering a single polygenic trait subject to divergent
viability selection across demes, as well as assortative mating and sexual selection
within demes, and investigate how trait divergence is shaped by various evolutionary
forces. Our analysis reveals the existence of sharp thresholds of assortment strength,
at which divergence increases dramatically. We also study the evolution of assortment
via invasion of modifiers of mate discrimination and show that the ES assortment
strength has an intermediate value under a range of migration-selection parameters,
even in diverged populations, due to subtle effects which depend sensitively on
the extent of phenotypic variation within these populations. The evolutionary
dynamics of the polygenic trait is studied using the hypergeometric and infinitesimal
models. We further investigate the sensitivity of our results to the assumptions
of the hypergeometric model, using individual-based simulations.
article_processing_charge: No
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. Divergence and evolution of assortative mating in a
polygenic trait model of speciation with gene flow. Evolution; International
Journal of Organic Evolution. 2017;71(6):1478-1493. doi:10.1111/evo.13252
apa: Sachdeva, H., & Barton, N. H. (2017). Divergence and evolution of assortative
mating in a polygenic trait model of speciation with gene flow. Evolution;
International Journal of Organic Evolution. Wiley-Blackwell. https://doi.org/10.1111/evo.13252
chicago: Sachdeva, Himani, and Nicholas H Barton. “Divergence and Evolution of Assortative
Mating in a Polygenic Trait Model of Speciation with Gene Flow.” Evolution;
International Journal of Organic Evolution. Wiley-Blackwell, 2017. https://doi.org/10.1111/evo.13252.
ieee: H. Sachdeva and N. H. Barton, “Divergence and evolution of assortative mating
in a polygenic trait model of speciation with gene flow,” Evolution; International
Journal of Organic Evolution, vol. 71, no. 6. Wiley-Blackwell, pp. 1478–1493,
2017.
ista: Sachdeva H, Barton NH. 2017. Divergence and evolution of assortative mating
in a polygenic trait model of speciation with gene flow. Evolution; International
Journal of Organic Evolution. 71(6), 1478–1493.
mla: Sachdeva, Himani, and Nicholas H. Barton. “Divergence and Evolution of Assortative
Mating in a Polygenic Trait Model of Speciation with Gene Flow.” Evolution;
International Journal of Organic Evolution, vol. 71, no. 6, Wiley-Blackwell,
2017, pp. 1478–93, doi:10.1111/evo.13252.
short: H. Sachdeva, N.H. Barton, Evolution; International Journal of Organic Evolution
71 (2017) 1478–1493.
date_created: 2018-12-11T11:49:34Z
date_published: 2017-06-01T00:00:00Z
date_updated: 2025-05-28T11:42:51Z
day: '01'
ddc:
- '576'
department:
- _id: NiBa
doi: 10.1111/evo.13252
ec_funded: 1
external_id:
isi:
- '000403014800005'
pmid:
- '28419447'
file:
- access_level: open_access
checksum: 6d4c38cb1347fd43620d1736c6df5c79
content_type: application/pdf
creator: dernst
date_created: 2019-04-17T07:37:04Z
date_updated: 2020-07-14T12:48:18Z
file_id: '6329'
file_name: 2017_Evolution_Sachdeva_supplement.pdf
file_size: 625260
relation: main_file
- access_level: open_access
checksum: f1d90dd8831b44baf49b4dd176f263af
content_type: application/pdf
creator: dernst
date_created: 2019-04-17T07:37:04Z
date_updated: 2020-07-14T12:48:18Z
file_id: '6330'
file_name: 2017_Evolution_Sachdeva_article.pdf
file_size: 520110
relation: main_file
file_date_updated: 2020-07-14T12:48:18Z
has_accepted_license: '1'
intvolume: ' 71'
isi: 1
issue: '6'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Submitted Version
page: '1478 - 1493 '
pmid: 1
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Evolution; International Journal of Organic Evolution
publication_identifier:
issn:
- '00143820'
publication_status: published
publisher: Wiley-Blackwell
publist_id: '6409'
pubrep_id: '977'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Divergence and evolution of assortative mating in a polygenic trait model of
speciation with gene flow
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 71
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'
...