---
_id: '6466'
abstract:
- lang: eng
text: "One of the most striking and consistent results in speciation genomics is
the heterogeneous divergence observed across the genomes of closely related species.
This pattern was initially attributed to different levels of gene exchange—with
divergence preserved at loci generating a barrier to gene flow but homogenized
at unlinked neutral loci. Although there is evidence to support this model, it
is now recognized that interpreting patterns of divergence across genomes is not
so straightforward. One \r\nproblem is that heterogenous divergence between populations
can also be generated by other processes (e.g. recurrent selective sweeps or background
selection) without any involvement of differential gene flow. Thus, integrated
studies that identify which loci are likely subject to divergent selection are
required to shed light on the interplay between selection and gene flow during
the early phases of speciation. In this issue of Molecular Ecology, Rifkin et
al. (2019) confront this challenge using a pair of sister morning glory species.
They wisely design their sampling to take the geographic context of individuals
into account, including geographically isolated (allopatric) and co‐occurring
(sympatric) populations. This enabled them to show that individuals are phenotypically
less differentiated in sympatry. They also found that the loci that resist introgression
are enriched for those most differentiated in allopatry and loci that exhibit
signals of divergent selection. One great strength of the \r\nstudy is the combination
of methods from population genetics and molecular evolution, including the development
of a model to simultaneously infer admixture proportions and selfing rates."
article_processing_charge: No
author:
- first_name: David
full_name: Field, David
id: 419049E2-F248-11E8-B48F-1D18A9856A87
last_name: Field
orcid: 0000-0002-4014-8478
- first_name: Christelle
full_name: Fraisse, Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
orcid: 0000-0001-8441-5075
citation:
ama: Field D, Fraisse C. Breaking down barriers in morning glories. Molecular
ecology. 2019;28(7):1579-1581. doi:10.1111/mec.15048
apa: Field, D., & Fraisse, C. (2019). Breaking down barriers in morning glories.
Molecular Ecology. Wiley. https://doi.org/10.1111/mec.15048
chicago: Field, David, and Christelle Fraisse. “Breaking down Barriers in Morning
Glories.” Molecular Ecology. Wiley, 2019. https://doi.org/10.1111/mec.15048.
ieee: D. Field and C. Fraisse, “Breaking down barriers in morning glories,” Molecular
ecology, vol. 28, no. 7. Wiley, pp. 1579–1581, 2019.
ista: Field D, Fraisse C. 2019. Breaking down barriers in morning glories. Molecular
ecology. 28(7), 1579–1581.
mla: Field, David, and Christelle Fraisse. “Breaking down Barriers in Morning Glories.”
Molecular Ecology, vol. 28, no. 7, Wiley, 2019, pp. 1579–81, doi:10.1111/mec.15048.
short: D. Field, C. Fraisse, Molecular Ecology 28 (2019) 1579–1581.
date_created: 2019-05-19T21:59:15Z
date_published: 2019-04-01T00:00:00Z
date_updated: 2023-08-25T10:37:30Z
day: '01'
ddc:
- '580'
- '576'
department:
- _id: NiBa
doi: 10.1111/mec.15048
external_id:
isi:
- '000474808300001'
file:
- access_level: open_access
checksum: 521e3aff3e9263ddf2ffbfe0b6157715
content_type: application/pdf
creator: dernst
date_created: 2019-05-20T11:49:06Z
date_updated: 2020-07-14T12:47:31Z
file_id: '6472'
file_name: 2019_MolecularEcology_Field.pdf
file_size: 367711
relation: main_file
file_date_updated: 2020-07-14T12:47:31Z
has_accepted_license: '1'
intvolume: ' 28'
isi: 1
issue: '7'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: 1579-1581
publication: Molecular ecology
publication_identifier:
eissn:
- 1365294X
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Breaking down barriers in morning glories
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: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 28
year: '2019'
...
---
_id: '6467'
abstract:
- lang: eng
text: Fitness interactions between mutations can influence a population’s evolution
in many different ways. While epistatic effects are difficult to measure precisely,
important information is captured by the mean and variance of log fitnesses for
individuals carrying different numbers of mutations. We derive predictions for
these quantities from a class of simple fitness landscapes, based on models of
optimizing selection on quantitative traits. We also explore extensions to the
models, including modular pleiotropy, variable effect sizes, mutational bias and
maladaptation of the wild type. We illustrate our approach by reanalysing a large
dataset of mutant effects in a yeast snoRNA (small nucleolar RNA). Though characterized
by some large epistatic effects, these data give a good overall fit to the non-epistatic
null model, suggesting that epistasis might have limited influence on the evolutionary
dynamics in this system. We also show how the amount of epistasis depends on both
the underlying fitness landscape and the distribution of mutations, and so is
expected to vary in consistent ways between new mutations, standing variation
and fixed mutations.
article_number: '0881'
article_processing_charge: No
article_type: original
author:
- first_name: Christelle
full_name: Fraisse, Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
orcid: 0000-0001-8441-5075
- first_name: John J.
full_name: Welch, John J.
last_name: Welch
citation:
ama: Fraisse C, Welch JJ. The distribution of epistasis on simple fitness landscapes.
Biology Letters. 2019;15(4). doi:10.1098/rsbl.2018.0881
apa: Fraisse, C., & Welch, J. J. (2019). The distribution of epistasis on simple
fitness landscapes. Biology Letters. Royal Society of London. https://doi.org/10.1098/rsbl.2018.0881
chicago: Fraisse, Christelle, and John J. Welch. “The Distribution of Epistasis
on Simple Fitness Landscapes.” Biology Letters. Royal Society of London,
2019. https://doi.org/10.1098/rsbl.2018.0881.
ieee: C. Fraisse and J. J. Welch, “The distribution of epistasis on simple fitness
landscapes,” Biology Letters, vol. 15, no. 4. Royal Society of London,
2019.
ista: Fraisse C, Welch JJ. 2019. The distribution of epistasis on simple fitness
landscapes. Biology Letters. 15(4), 0881.
mla: Fraisse, Christelle, and John J. Welch. “The Distribution of Epistasis on Simple
Fitness Landscapes.” Biology Letters, vol. 15, no. 4, 0881, Royal Society
of London, 2019, doi:10.1098/rsbl.2018.0881.
short: C. Fraisse, J.J. Welch, Biology Letters 15 (2019).
date_created: 2019-05-19T21:59:15Z
date_published: 2019-04-03T00:00:00Z
date_updated: 2023-08-25T10:34:41Z
day: '03'
department:
- _id: BeVi
- _id: NiBa
doi: 10.1098/rsbl.2018.0881
ec_funded: 1
external_id:
isi:
- '000465405300010'
pmid:
- '31014191'
intvolume: ' 15'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1098/rsbl.2018.0881
month: '04'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: Biology Letters
publication_identifier:
eissn:
- 1744957X
issn:
- '17449561'
publication_status: published
publisher: Royal Society of London
quality_controlled: '1'
related_material:
link:
- relation: supplementary_material
url: https://dx.doi.org/10.6084/m9.figshare.c.4461008
record:
- id: '9798'
relation: research_data
status: public
- id: '9799'
relation: research_data
status: public
scopus_import: '1'
status: public
title: The distribution of epistasis on simple fitness landscapes
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 15
year: '2019'
...
---
_id: '13067'
abstract:
- lang: eng
text: Genetic incompatibilities contribute to reproductive isolation between many
diverging populations, but it is still unclear to what extent they play a role
if divergence happens with gene flow. In contact zones between the "Crab" and
"Wave" ecotypes of the snail Littorina saxatilis divergent selection forms strong
barriers to gene flow, while the role of postzygotic barriers due to selection
against hybrids remains unclear. High embryo abortion rates in this species could
indicate the presence of such barriers. Postzygotic barriers might include genetic
incompatibilities (e.g. Dobzhansky-Muller incompatibilities) but also maladaptation,
both expected to be most pronounced in contact zones. In addition, embryo abortion
might reflect physiological stress on females and embryos independent of any genetic
stress. We examined all embryos of >500 females sampled outside and inside
contact zones of three populations in Sweden. Females' clutch size ranged from
0 to 1011 embryos (mean 130±123) and abortion rates varied between 0 and100% (mean
12%). We described female genotypes by using a hybrid index based on hundreds
of SNPs differentiated between ecotypes with which we characterised female genotypes.
We also calculated female SNP heterozygosity and inversion karyotype. Clutch size
did not vary with female hybrid index and abortion rates were only weakly related
to hybrid index in two sites but not at all in a third site. No additional variation
in abortion rate was explained by female SNP heterozygosity, but increased female
inversion heterozygosity added slightly to increased abortion. Our results show
only weak and probably biologically insignificant postzygotic barriers contributing
to ecotype divergence and the high and variable abortion rates were marginally,
if at all, explained by hybrid index of females.
article_processing_charge: No
author:
- first_name: Kerstin
full_name: Johannesson, Kerstin
last_name: Johannesson
- first_name: Zuzanna
full_name: Zagrodzka, Zuzanna
last_name: Zagrodzka
- first_name: Rui
full_name: Faria, Rui
last_name: Faria
- 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
full_name: Butlin, Roger
last_name: Butlin
citation:
ama: 'Johannesson K, Zagrodzka Z, Faria R, Westram AM, Butlin R. Data from: Is embryo
abortion a postzygotic barrier to gene flow between Littorina ecotypes? 2019.
doi:10.5061/DRYAD.TB2RBNZWK'
apa: 'Johannesson, K., Zagrodzka, Z., Faria, R., Westram, A. M., & Butlin, R.
(2019). Data from: Is embryo abortion a postzygotic barrier to gene flow between
Littorina ecotypes? Dryad. https://doi.org/10.5061/DRYAD.TB2RBNZWK'
chicago: 'Johannesson, Kerstin, Zuzanna Zagrodzka, Rui Faria, Anja M Westram, and
Roger Butlin. “Data from: Is Embryo Abortion a Postzygotic Barrier to Gene Flow
between Littorina Ecotypes?” Dryad, 2019. https://doi.org/10.5061/DRYAD.TB2RBNZWK.'
ieee: 'K. Johannesson, Z. Zagrodzka, R. Faria, A. M. Westram, and R. Butlin, “Data
from: Is embryo abortion a postzygotic barrier to gene flow between Littorina
ecotypes?” Dryad, 2019.'
ista: 'Johannesson K, Zagrodzka Z, Faria R, Westram AM, Butlin R. 2019. Data from:
Is embryo abortion a postzygotic barrier to gene flow between Littorina ecotypes?,
Dryad, 10.5061/DRYAD.TB2RBNZWK.'
mla: 'Johannesson, Kerstin, et al. Data from: Is Embryo Abortion a Postzygotic
Barrier to Gene Flow between Littorina Ecotypes? Dryad, 2019, doi:10.5061/DRYAD.TB2RBNZWK.'
short: K. Johannesson, Z. Zagrodzka, R. Faria, A.M. Westram, R. Butlin, (2019).
date_created: 2023-05-23T16:36:27Z
date_published: 2019-12-02T00:00:00Z
date_updated: 2023-09-06T14:48:57Z
day: '02'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.5061/DRYAD.TB2RBNZWK
license: https://creativecommons.org/publicdomain/zero/1.0/
main_file_link:
- open_access: '1'
url: https://doi.org/10.5061/dryad.tb2rbnzwk
month: '12'
oa: 1
oa_version: Published Version
publisher: Dryad
related_material:
record:
- id: '7205'
relation: used_in_publication
status: public
status: public
title: 'Data from: Is embryo abortion a postzygotic barrier to gene flow between Littorina
ecotypes?'
tmp:
image: /images/cc_0.png
legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode
name: Creative Commons Public Domain Dedication (CC0 1.0)
short: CC0 (1.0)
type: research_data_reference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2019'
...
---
_id: '9801'
article_processing_charge: No
author:
- first_name: Richard M.
full_name: Merrill, Richard M.
last_name: Merrill
- first_name: Pasi
full_name: Rastas, Pasi
last_name: Rastas
- first_name: Simon H.
full_name: Martin, Simon H.
last_name: Martin
- first_name: Maria C
full_name: Melo Hurtado, Maria C
id: 386D7308-F248-11E8-B48F-1D18A9856A87
last_name: Melo Hurtado
- first_name: Sarah
full_name: Barker, Sarah
last_name: Barker
- first_name: John
full_name: Davey, John
last_name: Davey
- first_name: W. Owen
full_name: Mcmillan, W. Owen
last_name: Mcmillan
- first_name: Chris D.
full_name: Jiggins, Chris D.
last_name: Jiggins
citation:
ama: Merrill RM, Rastas P, Martin SH, et al. Raw behavioral data. 2019. doi:10.1371/journal.pbio.2005902.s006
apa: Merrill, R. M., Rastas, P., Martin, S. H., Melo Hurtado, M. C., Barker, S.,
Davey, J., … Jiggins, C. D. (2019). Raw behavioral data. Public Library of Science.
https://doi.org/10.1371/journal.pbio.2005902.s006
chicago: Merrill, Richard M., Pasi Rastas, Simon H. Martin, Maria C Melo Hurtado,
Sarah Barker, John Davey, W. Owen Mcmillan, and Chris D. Jiggins. “Raw Behavioral
Data.” Public Library of Science, 2019. https://doi.org/10.1371/journal.pbio.2005902.s006.
ieee: R. M. Merrill et al., “Raw behavioral data.” Public Library of Science,
2019.
ista: Merrill RM, Rastas P, Martin SH, Melo Hurtado MC, Barker S, Davey J, Mcmillan
WO, Jiggins CD. 2019. Raw behavioral data, Public Library of Science, 10.1371/journal.pbio.2005902.s006.
mla: Merrill, Richard M., et al. Raw Behavioral Data. Public Library of Science,
2019, doi:10.1371/journal.pbio.2005902.s006.
short: R.M. Merrill, P. Rastas, S.H. Martin, M.C. Melo Hurtado, S. Barker, J. Davey,
W.O. Mcmillan, C.D. Jiggins, (2019).
date_created: 2021-08-06T11:34:56Z
date_published: 2019-02-07T00:00:00Z
date_updated: 2023-08-24T14:46:23Z
day: '07'
department:
- _id: NiBa
doi: 10.1371/journal.pbio.2005902.s006
month: '02'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '6022'
relation: used_in_publication
status: public
status: public
title: Raw behavioral data
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2019'
...
---
_id: '9802'
abstract:
- lang: eng
text: This paper analyzes how partial selfing in a large source population influences
its ability to colonize a new habitat via the introduction of a few founder individuals.
Founders experience inbreeding depression due to partially recessive deleterious
alleles as well as maladaptation to the new environment due to selection on a
large number of additive loci. I first introduce a simplified version of the Inbreeding
History Model (Kelly, 2007) in order to characterize mutation-selection balance
in a large, partially selfing source population under selection involving multiple
non-identical loci. I then use individual-based simulations to study the eco-evolutionary
dynamics of founders establishing in the new habitat under a model of hard selection.
The study explores how selfing rate shapes establishment probabilities of founders
via effects on both inbreeding depression and adaptability to the new environment,
and also distinguishes the effects of selfing on the initial fitness of founders
from its effects on the long-term adaptive response of the populations they found.
A high rate of (but not complete) selfing is found to aid establishment over a
wide range of parameters, even in the absence of mate limitation. The sensitivity
of the results to assumptions about the nature of polygenic selection are discussed.
article_processing_charge: No
author:
- first_name: Himani
full_name: Sachdeva, Himani
id: 42377A0A-F248-11E8-B48F-1D18A9856A87
last_name: Sachdeva
citation:
ama: 'Sachdeva H. Data from: Effect of partial selfing and polygenic selection on
establishment in a new habitat. 2019. doi:10.5061/dryad.8tp0900'
apa: 'Sachdeva, H. (2019). Data from: Effect of partial selfing and polygenic selection
on establishment in a new habitat. Dryad. https://doi.org/10.5061/dryad.8tp0900'
chicago: 'Sachdeva, Himani. “Data from: Effect of Partial Selfing and Polygenic
Selection on Establishment in a New Habitat.” Dryad, 2019. https://doi.org/10.5061/dryad.8tp0900.'
ieee: 'H. Sachdeva, “Data from: Effect of partial selfing and polygenic selection
on establishment in a new habitat.” Dryad, 2019.'
ista: 'Sachdeva H. 2019. Data from: Effect of partial selfing and polygenic selection
on establishment in a new habitat, Dryad, 10.5061/dryad.8tp0900.'
mla: 'Sachdeva, Himani. Data from: Effect of Partial Selfing and Polygenic Selection
on Establishment in a New Habitat. Dryad, 2019, doi:10.5061/dryad.8tp0900.'
short: H. Sachdeva, (2019).
date_created: 2021-08-06T11:45:11Z
date_published: 2019-07-16T00:00:00Z
date_updated: 2023-08-29T06:43:57Z
day: '16'
department:
- _id: NiBa
doi: 10.5061/dryad.8tp0900
main_file_link:
- open_access: '1'
url: https://doi.org/10.5061/dryad.8tp0900
month: '07'
oa: 1
oa_version: Published Version
publisher: Dryad
related_material:
record:
- id: '6680'
relation: used_in_publication
status: public
status: public
title: 'Data from: Effect of partial selfing and polygenic selection on establishment
in a new habitat'
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2019'
...
---
_id: '9803'
abstract:
- lang: eng
text: Understanding the mechanisms causing phenotypic differences between females
and males has long fascinated evolutionary biologists. An extensive literature
exists on animal sexual dimorphism but less is known about sex differences in
plants, particularly the extent of geographical variation in sexual dimorphism
and its life-cycle dynamics. Here, we investigate patterns of genetically-based
sexual dimorphism in vegetative and reproductive traits of a wind-pollinated dioecious
plant, Rumex hastatulus, across three life-cycle stages using open-pollinated
families from 30 populations spanning the geographic range and chromosomal variation
(XY and XY1Y2) of the species. The direction and degree of sexual dimorphism was
highly variable among populations and life-cycle stages. Sex-specific differences
in reproductive function explained a significant amount of temporal change in
sexual dimorphism. For several traits, geographical variation in sexual dimorphism
was associated with bioclimatic parameters, likely due to the differential responses
of the sexes to climate. We found no systematic differences in sexual dimorphism
between chromosome races. Sex-specific trait differences in dioecious plants largely
result from a balance between sexual and natural selection on resource allocation.
Our results indicate that abiotic factors associated with geographical context
also play a role in modifying sexual dimorphism during the plant life cycle.
article_processing_charge: No
author:
- first_name: Gemma
full_name: Puixeu Sala, Gemma
id: 33AB266C-F248-11E8-B48F-1D18A9856A87
last_name: Puixeu Sala
orcid: 0000-0001-8330-1754
- first_name: Melinda
full_name: Pickup, Melinda
id: 2C78037E-F248-11E8-B48F-1D18A9856A87
last_name: Pickup
orcid: 0000-0001-6118-0541
- first_name: David
full_name: Field, David
last_name: Field
- first_name: Spencer C.H.
full_name: Barrett, Spencer C.H.
last_name: Barrett
citation:
ama: 'Puixeu Sala G, Pickup M, Field D, Barrett SCH. Data from: Variation in sexual
dimorphism in a wind-pollinated plant: the influence of geographical context and
life-cycle dynamics. 2019. doi:10.5061/dryad.n1701c9'
apa: 'Puixeu Sala, G., Pickup, M., Field, D., & Barrett, S. C. H. (2019). Data
from: Variation in sexual dimorphism in a wind-pollinated plant: the influence
of geographical context and life-cycle dynamics. Dryad. https://doi.org/10.5061/dryad.n1701c9'
chicago: 'Puixeu Sala, Gemma, Melinda Pickup, David Field, and Spencer C.H. Barrett.
“Data from: Variation in Sexual Dimorphism in a Wind-Pollinated Plant: The Influence
of Geographical Context and Life-Cycle Dynamics.” Dryad, 2019. https://doi.org/10.5061/dryad.n1701c9.'
ieee: 'G. Puixeu Sala, M. Pickup, D. Field, and S. C. H. Barrett, “Data from: Variation
in sexual dimorphism in a wind-pollinated plant: the influence of geographical
context and life-cycle dynamics.” Dryad, 2019.'
ista: 'Puixeu Sala G, Pickup M, Field D, Barrett SCH. 2019. Data from: Variation
in sexual dimorphism in a wind-pollinated plant: the influence of geographical
context and life-cycle dynamics, Dryad, 10.5061/dryad.n1701c9.'
mla: 'Puixeu Sala, Gemma, et al. Data from: Variation in Sexual Dimorphism in
a Wind-Pollinated Plant: The Influence of Geographical Context and Life-Cycle
Dynamics. Dryad, 2019, doi:10.5061/dryad.n1701c9.'
short: G. Puixeu Sala, M. Pickup, D. Field, S.C.H. Barrett, (2019).
date_created: 2021-08-06T11:48:42Z
date_published: 2019-07-22T00:00:00Z
date_updated: 2023-08-29T07:17:07Z
day: '22'
department:
- _id: NiBa
- _id: BeVi
doi: 10.5061/dryad.n1701c9
main_file_link:
- open_access: '1'
url: https://doi.org/10.5061/dryad.n1701c9
month: '07'
oa: 1
oa_version: Published Version
publisher: Dryad
related_material:
record:
- id: '14058'
relation: used_in_publication
status: public
- id: '6831'
relation: used_in_publication
status: public
status: public
title: 'Data from: Variation in sexual dimorphism in a wind-pollinated plant: the
influence of geographical context and life-cycle dynamics'
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2019'
...
---
_id: '9804'
abstract:
- lang: eng
text: Evolutionary studies are often limited by missing data that are critical to
understanding the history of selection. Selection experiments, which reproduce
rapid evolution under controlled conditions, are excellent tools to study how
genomes evolve under selection. Here we present a genomic dissection of the Longshanks
selection experiment, in which mice were selectively bred over 20 generations
for longer tibiae relative to body mass, resulting in 13% longer tibiae in two
replicates. We synthesized evolutionary theory, genome sequences and molecular
genetics to understand the selection response and found that it involved both
polygenic adaptation and discrete loci of major effect, with the strongest loci
tending to be selected in parallel between replicates. We show that selection
may favor de-repression of bone growth through inactivating two limb enhancers
of an inhibitor, Nkx3-2. Our integrative genomic analyses thus show that it is
possible to connect individual base-pair changes to the overall selection response.
article_processing_charge: No
author:
- first_name: João Pl
full_name: Castro, João Pl
last_name: Castro
- first_name: Michelle N.
full_name: Yancoskie, Michelle N.
last_name: Yancoskie
- first_name: Marta
full_name: Marchini, Marta
last_name: Marchini
- first_name: Stefanie
full_name: Belohlavy, Stefanie
id: 43FE426A-F248-11E8-B48F-1D18A9856A87
last_name: Belohlavy
orcid: 0000-0002-9849-498X
- first_name: Layla
full_name: Hiramatsu, Layla
last_name: Hiramatsu
- first_name: Marek
full_name: Kučka, Marek
last_name: Kučka
- first_name: William H.
full_name: Beluch, William H.
last_name: Beluch
- first_name: Ronald
full_name: Naumann, Ronald
last_name: Naumann
- first_name: Isabella
full_name: Skuplik, Isabella
last_name: Skuplik
- first_name: John
full_name: Cobb, John
last_name: Cobb
- 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: Campbell
full_name: Rolian, Campbell
last_name: Rolian
- first_name: Yingguang Frank
full_name: Chan, Yingguang Frank
last_name: Chan
citation:
ama: 'Castro JP, Yancoskie MN, Marchini M, et al. Data from: An integrative genomic
analysis of the Longshanks selection experiment for longer limbs in mice. 2019.
doi:10.5061/dryad.0q2h6tk'
apa: 'Castro, J. P., Yancoskie, M. N., Marchini, M., Belohlavy, S., Hiramatsu, L.,
Kučka, M., … Chan, Y. F. (2019). Data from: An integrative genomic analysis of
the Longshanks selection experiment for longer limbs in mice. Dryad. https://doi.org/10.5061/dryad.0q2h6tk'
chicago: 'Castro, João Pl, Michelle N. Yancoskie, Marta Marchini, Stefanie Belohlavy,
Layla Hiramatsu, Marek Kučka, William H. Beluch, et al. “Data from: An Integrative
Genomic Analysis of the Longshanks Selection Experiment for Longer Limbs in Mice.”
Dryad, 2019. https://doi.org/10.5061/dryad.0q2h6tk.'
ieee: 'J. P. Castro et al., “Data from: An integrative genomic analysis of
the Longshanks selection experiment for longer limbs in mice.” Dryad, 2019.'
ista: 'Castro JP, Yancoskie MN, Marchini M, Belohlavy S, Hiramatsu L, Kučka M, Beluch
WH, Naumann R, Skuplik I, Cobb J, Barton NH, Rolian C, Chan YF. 2019. Data from:
An integrative genomic analysis of the Longshanks selection experiment for longer
limbs in mice, Dryad, 10.5061/dryad.0q2h6tk.'
mla: 'Castro, João Pl, et al. Data from: An Integrative Genomic Analysis of the
Longshanks Selection Experiment for Longer Limbs in Mice. Dryad, 2019, doi:10.5061/dryad.0q2h6tk.'
short: J.P. Castro, M.N. Yancoskie, M. Marchini, S. Belohlavy, L. Hiramatsu, M.
Kučka, W.H. Beluch, R. Naumann, I. Skuplik, J. Cobb, N.H. Barton, C. Rolian, Y.F.
Chan, (2019).
date_created: 2021-08-06T11:52:54Z
date_published: 2019-06-06T00:00:00Z
date_updated: 2023-08-29T06:41:51Z
day: '06'
department:
- _id: NiBa
doi: 10.5061/dryad.0q2h6tk
main_file_link:
- open_access: '1'
url: https://doi.org/10.5061/dryad.0q2h6tk
month: '06'
oa: 1
oa_version: Published Version
publisher: Dryad
related_material:
record:
- id: '6713'
relation: used_in_publication
status: public
status: public
title: 'Data from: An integrative genomic analysis of the Longshanks selection experiment
for longer limbs in mice'
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2019'
...
---
_id: '9805'
abstract:
- lang: eng
text: The spread of adaptive alleles is fundamental to evolution, and in theory,
this process is well‐understood. However, only rarely can we follow this process—whether
it originates from the spread of a new mutation, or by introgression from another
population. In this issue of Molecular Ecology, Hanemaaijer et al. (2018) report
on a 25‐year long study of the mosquitoes Anopheles gambiae (Figure 1) and Anopheles
coluzzi in Mali, based on genotypes at 15 single‐nucleotide polymorphism (SNP).
The species are usually reproductively isolated from each other, but in 2002 and
2006, bursts of hybridization were observed, when F1 hybrids became abundant.
Alleles backcrossed from A. gambiae into A. coluzzi, but after the first event,
these declined over the following years. In contrast, after 2006, an insecticide
resistance allele that had established in A. gambiae spread into A. coluzzi, and
rose to high frequency there, over 6 years (~75 generations). Whole genome sequences
of 74 individuals showed that A. gambiae SNP from across the genome had become
common in the A. coluzzi population, but that most of these were clustered in
34 genes around the resistance locus. A new set of SNP from 25 of these genes
were assayed over time; over the 4 years since near‐fixation of the resistance
allele; some remained common, whereas others declined. What do these patterns
tell us about this introgression event?
article_processing_charge: No
author:
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
citation:
ama: 'Barton NH. Data from: The consequences of an introgression event. 2019. doi:10.5061/dryad.2kb6fh4'
apa: 'Barton, N. H. (2019). Data from: The consequences of an introgression event.
Dryad. https://doi.org/10.5061/dryad.2kb6fh4'
chicago: 'Barton, Nicholas H. “Data from: The Consequences of an Introgression Event.”
Dryad, 2019. https://doi.org/10.5061/dryad.2kb6fh4.'
ieee: 'N. H. Barton, “Data from: The consequences of an introgression event.” Dryad,
2019.'
ista: 'Barton NH. 2019. Data from: The consequences of an introgression event, Dryad,
10.5061/dryad.2kb6fh4.'
mla: 'Barton, Nicholas H. Data from: The Consequences of an Introgression Event.
Dryad, 2019, doi:10.5061/dryad.2kb6fh4.'
short: N.H. Barton, (2019).
date_created: 2021-08-06T12:03:50Z
date_published: 2019-01-09T00:00:00Z
date_updated: 2023-09-19T10:06:07Z
day: '09'
department:
- _id: NiBa
doi: 10.5061/dryad.2kb6fh4
main_file_link:
- open_access: '1'
url: https://doi.org/10.5061/dryad.2kb6fh4
month: '01'
oa: 1
oa_version: Published Version
publisher: Dryad
related_material:
record:
- id: '40'
relation: used_in_publication
status: public
status: public
title: 'Data from: The consequences of an introgression event'
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2019'
...
---
_id: '9839'
abstract:
- lang: eng
text: 'More than 100 years after Grigg’s influential analysis of species’ borders,
the causes of limits to species’ ranges still represent a puzzle that has never
been understood with clarity. The topic has become especially important recently
as many scientists have become interested in the potential for species’ ranges
to shift in response to climate change—and yet nearly all of those studies fail
to recognise or incorporate evolutionary genetics in a way that relates to theoretical
developments. I show that range margins can be understood based on just two measurable
parameters: (i) the fitness cost of dispersal—a measure of environmental heterogeneity—and
(ii) the strength of genetic drift, which reduces genetic diversity. Together,
these two parameters define an ‘expansion threshold’: adaptation fails when genetic
drift reduces genetic diversity below that required for adaptation to a heterogeneous
environment. When the key parameters drop below this expansion threshold locally,
a sharp range margin forms. When they drop below this threshold throughout the
species’ range, adaptation collapses everywhere, resulting in either extinction
or formation of a fragmented metapopulation. Because the effects of dispersal
differ fundamentally with dimension, the second parameter—the strength of genetic
drift—is qualitatively different compared to a linear habitat. In two-dimensional
habitats, genetic drift becomes effectively independent of selection. It decreases
with ‘neighbourhood size’—the number of individuals accessible by dispersal within
one generation. Moreover, in contrast to earlier predictions, which neglected
evolution of genetic variance and/or stochasticity in two dimensions, dispersal
into small marginal populations aids adaptation. This is because the reduction
of both genetic and demographic stochasticity has a stronger effect than the cost
of dispersal through increased maladaptation. The expansion threshold thus provides
a novel, theoretically justified, and testable prediction for formation of the
range margin and collapse of the species’ range.'
article_processing_charge: No
author:
- first_name: Jitka
full_name: Polechova, Jitka
id: 3BBFB084-F248-11E8-B48F-1D18A9856A87
last_name: Polechova
orcid: 0000-0003-0951-3112
citation:
ama: 'Polechova J. Data from: Is the sky the limit? On the expansion threshold of
a species’ range. 2019. doi:10.5061/dryad.5vv37'
apa: 'Polechova, J. (2019). Data from: Is the sky the limit? On the expansion threshold
of a species’ range. Dryad. https://doi.org/10.5061/dryad.5vv37'
chicago: 'Polechova, Jitka. “Data from: Is the Sky the Limit? On the Expansion Threshold
of a Species’ Range.” Dryad, 2019. https://doi.org/10.5061/dryad.5vv37.'
ieee: 'J. Polechova, “Data from: Is the sky the limit? On the expansion threshold
of a species’ range.” Dryad, 2019.'
ista: 'Polechova J. 2019. Data from: Is the sky the limit? On the expansion threshold
of a species’ range, Dryad, 10.5061/dryad.5vv37.'
mla: 'Polechova, Jitka. Data from: Is the Sky the Limit? On the Expansion Threshold
of a Species’ Range. Dryad, 2019, doi:10.5061/dryad.5vv37.'
short: J. Polechova, (2019).
date_created: 2021-08-09T13:07:28Z
date_published: 2019-06-22T00:00:00Z
date_updated: 2023-02-23T11:14:30Z
day: '22'
department:
- _id: NiBa
doi: 10.5061/dryad.5vv37
main_file_link:
- open_access: '1'
url: https://doi.org/10.5061/dryad.5vv37
month: '06'
oa: 1
oa_version: Published Version
publisher: Dryad
related_material:
record:
- id: '315'
relation: used_in_publication
status: public
status: public
title: 'Data from: Is the sky the limit? On the expansion threshold of a species''
range'
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2019'
...
---
_id: '282'
abstract:
- lang: eng
text: Adaptive introgression is common in nature and can be driven by selection
acting on multiple, linked genes. We explore the effects of polygenic selection
on introgression under the infinitesimal model with linkage. This model assumes
that the introgressing block has an effectively infinite number of genes, each
with an infinitesimal effect on the trait under selection. The block is assumed
to introgress under directional selection within a native population that is genetically
homogeneous. We use individual-based simulations and a branching process approximation
to compute various statistics of the introgressing block, and explore how these
depend on parameters such as the map length and initial trait value associated
with the introgressing block, the genetic variability along the block, and the
strength of selection. Our results show that the introgression dynamics of a block
under infinitesimal selection is qualitatively different from the dynamics of
neutral introgression. We also find that in the long run, surviving descendant
blocks are likely to have intermediate lengths, and clarify how the length is
shaped by the interplay between linkage and infinitesimal selection. Our results
suggest that it may be difficult to distinguish introgression of single loci from
that of genomic blocks with multiple, tightly linked and weakly selected loci.
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. Introgression of a block of genome under infinitesimal
selection. Genetics. 2018;209(4):1279-1303. doi:10.1534/genetics.118.301018
apa: Sachdeva, H., & Barton, N. H. (2018). Introgression of a block of genome
under infinitesimal selection. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.118.301018
chicago: Sachdeva, Himani, and Nicholas H Barton. “Introgression of a Block of Genome
under Infinitesimal Selection.” Genetics. Genetics Society of America,
2018. https://doi.org/10.1534/genetics.118.301018.
ieee: H. Sachdeva and N. H. Barton, “Introgression of a block of genome under infinitesimal
selection,” Genetics, vol. 209, no. 4. Genetics Society of America, pp.
1279–1303, 2018.
ista: Sachdeva H, Barton NH. 2018. Introgression of a block of genome under infinitesimal
selection. Genetics. 209(4), 1279–1303.
mla: Sachdeva, Himani, and Nicholas H. Barton. “Introgression of a Block of Genome
under Infinitesimal Selection.” Genetics, vol. 209, no. 4, Genetics Society
of America, 2018, pp. 1279–303, doi:10.1534/genetics.118.301018.
short: H. Sachdeva, N.H. Barton, Genetics 209 (2018) 1279–1303.
date_created: 2018-12-11T11:45:36Z
date_published: 2018-08-01T00:00:00Z
date_updated: 2023-09-13T08:22:32Z
day: '01'
department:
- _id: NiBa
doi: 10.1534/genetics.118.301018
external_id:
isi:
- '000440014100020'
intvolume: ' 209'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.biorxiv.org/content/early/2017/11/30/227082
month: '08'
oa: 1
oa_version: Submitted Version
page: 1279 - 1303
publication: Genetics
publication_status: published
publisher: Genetics Society of America
publist_id: '7617'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Introgression of a block of genome under infinitesimal selection
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 209
year: '2018'
...
---
_id: '286'
abstract:
- lang: eng
text: 'Pedigree and sibship reconstruction are important methods in quantifying
relationships and fitness of individuals in natural populations. Current methods
employ a Markov chain-based algorithm to explore plausible possible pedigrees
iteratively. This provides accurate results, but is time-consuming. Here, we develop
a method to infer sibship and paternity relationships from half-sibling arrays
of known maternity using hierarchical clustering. Given 50 or more unlinked SNP
markers and empirically derived error rates, the method performs as well as the
widely used package Colony, but is faster by two orders of magnitude. Using simulations,
we show that the method performs well across contrasting mating scenarios, even
when samples are large. We then apply the method to open-pollinated arrays of
the snapdragon Antirrhinum majus and find evidence for a high degree of multiple
mating. Although we focus on diploid SNP data, the method does not depend on marker
type and as such has broad applications in nonmodel systems. '
acknowledgement: 'ERC, Grant/Award Number: 250152'
article_processing_charge: No
author:
- first_name: Thomas
full_name: Ellis, Thomas
id: 3153D6D4-F248-11E8-B48F-1D18A9856A87
last_name: Ellis
orcid: 0000-0002-8511-0254
- 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
citation:
ama: Ellis T, Field D, Barton NH. Efficient inference of paternity and sibship inference
given known maternity via hierarchical clustering. Molecular Ecology Resources.
2018;18(5):988-999. doi:10.1111/1755-0998.12782
apa: Ellis, T., Field, D., & Barton, N. H. (2018). Efficient inference of paternity
and sibship inference given known maternity via hierarchical clustering. Molecular
Ecology Resources. Wiley. https://doi.org/10.1111/1755-0998.12782
chicago: Ellis, Thomas, David Field, and Nicholas H Barton. “Efficient Inference
of Paternity and Sibship Inference given Known Maternity via Hierarchical Clustering.”
Molecular Ecology Resources. Wiley, 2018. https://doi.org/10.1111/1755-0998.12782.
ieee: T. Ellis, D. Field, and N. H. Barton, “Efficient inference of paternity and
sibship inference given known maternity via hierarchical clustering,” Molecular
Ecology Resources, vol. 18, no. 5. Wiley, pp. 988–999, 2018.
ista: Ellis T, Field D, Barton NH. 2018. Efficient inference of paternity and sibship
inference given known maternity via hierarchical clustering. Molecular Ecology
Resources. 18(5), 988–999.
mla: Ellis, Thomas, et al. “Efficient Inference of Paternity and Sibship Inference
given Known Maternity via Hierarchical Clustering.” Molecular Ecology Resources,
vol. 18, no. 5, Wiley, 2018, pp. 988–99, doi:10.1111/1755-0998.12782.
short: T. Ellis, D. Field, N.H. Barton, Molecular Ecology Resources 18 (2018) 988–999.
date_created: 2018-12-11T11:45:37Z
date_published: 2018-09-01T00:00:00Z
date_updated: 2025-05-28T11:42:43Z
day: '01'
department:
- _id: NiBa
doi: 10.1111/1755-0998.12782
ec_funded: 1
external_id:
isi:
- '000441753000007'
intvolume: ' 18'
isi: 1
issue: '5'
language:
- iso: eng
month: '09'
oa_version: None
page: 988 - 999
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Molecular Ecology Resources
publication_status: published
publisher: Wiley
quality_controlled: '1'
related_material:
record:
- id: '5583'
relation: popular_science
status: public
scopus_import: '1'
status: public
title: Efficient inference of paternity and sibship inference given known maternity
via hierarchical clustering
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 18
year: '2018'
...
---
_id: '315'
abstract:
- lang: eng
text: 'More than 100 years after Grigg’s influential analysis of species’ borders,
the causes of limits to species’ ranges still represent a puzzle that has never
been understood with clarity. The topic has become especially important recently
as many scientists have become interested in the potential for species’ ranges
to shift in response to climate change—and yet nearly all of those studies fail
to recognise or incorporate evolutionary genetics in a way that relates to theoretical
developments. I show that range margins can be understood based on just two measurable
parameters: (i) the fitness cost of dispersal—a measure of environmental heterogeneity—and
(ii) the strength of genetic drift, which reduces genetic diversity. Together,
these two parameters define an ‘expansion threshold’: adaptation fails when genetic
drift reduces genetic diversity below that required for adaptation to a heterogeneous
environment. When the key parameters drop below this expansion threshold locally,
a sharp range margin forms. When they drop below this threshold throughout the
species’ range, adaptation collapses everywhere, resulting in either extinction
or formation of a fragmented metapopulation. Because the effects of dispersal
differ fundamentally with dimension, the second parameter—the strength of genetic
drift—is qualitatively different compared to a linear habitat. In two-dimensional
habitats, genetic drift becomes effectively independent of selection. It decreases
with ‘neighbourhood size’—the number of individuals accessible by dispersal within
one generation. Moreover, in contrast to earlier predictions, which neglected
evolution of genetic variance and/or stochasticity in two dimensions, dispersal
into small marginal populations aids adaptation. This is because the reduction
of both genetic and demographic stochasticity has a stronger effect than the cost
of dispersal through increased maladaptation. The expansion threshold thus provides
a novel, theoretically justified, and testable prediction for formation of the
range margin and collapse of the species’ range.'
article_number: e2005372
author:
- first_name: Jitka
full_name: Polechova, Jitka
id: 3BBFB084-F248-11E8-B48F-1D18A9856A87
last_name: Polechova
orcid: 0000-0003-0951-3112
citation:
ama: Polechova J. Is the sky the limit? On the expansion threshold of a species’
range. PLoS Biology. 2018;16(6). doi:10.1371/journal.pbio.2005372
apa: Polechova, J. (2018). Is the sky the limit? On the expansion threshold of a
species’ range. PLoS Biology. Public Library of Science. https://doi.org/10.1371/journal.pbio.2005372
chicago: Polechova, Jitka. “Is the Sky the Limit? On the Expansion Threshold of
a Species’ Range.” PLoS Biology. Public Library of Science, 2018. https://doi.org/10.1371/journal.pbio.2005372.
ieee: J. Polechova, “Is the sky the limit? On the expansion threshold of a species’
range,” PLoS Biology, vol. 16, no. 6. Public Library of Science, 2018.
ista: Polechova J. 2018. Is the sky the limit? On the expansion threshold of a species’
range. PLoS Biology. 16(6), e2005372.
mla: Polechova, Jitka. “Is the Sky the Limit? On the Expansion Threshold of a Species’
Range.” PLoS Biology, vol. 16, no. 6, e2005372, Public Library of Science,
2018, doi:10.1371/journal.pbio.2005372.
short: J. Polechova, PLoS Biology 16 (2018).
date_created: 2018-12-11T11:45:46Z
date_published: 2018-06-15T00:00:00Z
date_updated: 2023-02-23T14:10:16Z
day: '15'
ddc:
- '576'
department:
- _id: NiBa
doi: 10.1371/journal.pbio.2005372
file:
- access_level: open_access
checksum: 908c52751bba30c55ed36789e5e4c84d
content_type: application/pdf
creator: dernst
date_created: 2019-01-22T08:30:03Z
date_updated: 2020-07-14T12:46:01Z
file_id: '5870'
file_name: 2017_PLOS_Polechova.pdf
file_size: 6968201
relation: main_file
file_date_updated: 2020-07-14T12:46:01Z
has_accepted_license: '1'
intvolume: ' 16'
issue: '6'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
publication: PLoS Biology
publication_identifier:
issn:
- '15449173'
publication_status: published
publisher: Public Library of Science
publist_id: '7550'
quality_controlled: '1'
related_material:
record:
- id: '9839'
relation: research_data
status: public
scopus_import: 1
status: public
title: Is the sky the limit? On the expansion threshold of a species’ range
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: 16
year: '2018'
...
---
_id: '316'
abstract:
- lang: eng
text: 'Self-incompatibility (SI) is a genetically based recognition system that
functions to prevent self-fertilization and mating among related plants. An enduring
puzzle in SI is how the high diversity observed in nature arises and is maintained.
Based on the underlying recognition mechanism, SI can be classified into two main
groups: self- and non-self recognition. Most work has focused on diversification
within self-recognition systems despite expected differences between the two groups
in the evolutionary pathways and outcomes of diversification. Here, we use a deterministic
population genetic model and stochastic simulations to investigate how novel S-haplotypes
evolve in a gametophytic non-self recognition (SRNase/S Locus F-box (SLF)) SI
system. For this model the pathways for diversification involve either the maintenance
or breakdown of SI and can vary in the order of mutations of the female (SRNase)
and male (SLF) components. We show analytically that diversification can occur
with high inbreeding depression and self-pollination, but this varies with evolutionary
pathway and level of completeness (which determines the number of potential mating
partners in the population), and in general is more likely for lower haplotype
number. The conditions for diversification are broader in stochastic simulations
of finite population size. However, the number of haplotypes observed under high
inbreeding and moderate to high self-pollination is less than that commonly observed
in nature. Diversification was observed through pathways that maintain SI as well
as through self-compatible intermediates. Yet the lifespan of diversified haplotypes
was sensitive to their level of completeness. By examining diversification in
a non-self recognition SI system, this model extends our understanding of the
evolution and maintenance of haplotype diversity observed in a self recognition
system common in flowering plants.'
article_processing_charge: No
article_type: original
author:
- first_name: Katarina
full_name: Bodova, Katarina
id: 2BA24EA0-F248-11E8-B48F-1D18A9856A87
last_name: Bodova
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. Evolutionary pathways
for the generation of new self-incompatibility haplotypes in a non-self recognition
system. Genetics. 2018;209(3):861-883. doi:10.1534/genetics.118.300748
apa: Bodova, K., Priklopil, T., Field, D., Barton, N. H., & Pickup, M. (2018).
Evolutionary pathways for the generation of new self-incompatibility haplotypes
in a non-self recognition system. Genetics. Genetics Society of America.
https://doi.org/10.1534/genetics.118.300748
chicago: Bodova, Katarina, Tadeas Priklopil, David Field, Nicholas H Barton, and
Melinda Pickup. “Evolutionary Pathways for the Generation of New Self-Incompatibility
Haplotypes in a Non-Self Recognition System.” Genetics. Genetics Society
of America, 2018. https://doi.org/10.1534/genetics.118.300748.
ieee: K. Bodova, T. Priklopil, D. Field, N. H. Barton, and M. Pickup, “Evolutionary
pathways for the generation of new self-incompatibility haplotypes in a non-self
recognition system,” Genetics, vol. 209, no. 3. Genetics Society of America,
pp. 861–883, 2018.
ista: Bodova K, Priklopil T, Field D, Barton NH, Pickup M. 2018. Evolutionary pathways
for the generation of new self-incompatibility haplotypes in a non-self recognition
system. Genetics. 209(3), 861–883.
mla: Bodova, Katarina, et al. “Evolutionary Pathways for the Generation of New Self-Incompatibility
Haplotypes in a Non-Self Recognition System.” Genetics, vol. 209, no. 3,
Genetics Society of America, 2018, pp. 861–83, doi:10.1534/genetics.118.300748.
short: K. Bodova, T. Priklopil, D. Field, N.H. Barton, M. Pickup, Genetics 209 (2018)
861–883.
date_created: 2018-12-11T11:45:47Z
date_published: 2018-07-01T00:00:00Z
date_updated: 2025-05-28T11:42:44Z
day: '01'
department:
- _id: NiBa
- _id: GaTk
doi: 10.1534/genetics.118.300748
ec_funded: 1
external_id:
isi:
- '000437171700017'
intvolume: ' 209'
isi: 1
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.biorxiv.org/node/80098.abstract
month: '07'
oa: 1
oa_version: Preprint
page: 861-883
project:
- _id: 25B36484-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '329960'
name: Mating system and the evolutionary dynamics of hybrid zones
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: Genetics
publication_status: published
publisher: Genetics Society of America
quality_controlled: '1'
related_material:
link:
- description: News on IST Homepage
relation: press_release
url: https://ist.ac.at/en/news/recognizing-others-but-not-yourself-new-insights-into-the-evolution-of-plant-mating/
record:
- id: '9813'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Evolutionary pathways for the generation of new self-incompatibility haplotypes
in a non-self recognition system
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 209
year: '2018'
...
---
_id: '33'
abstract:
- lang: eng
text: Secondary contact is the reestablishment of gene flow between sister populations
that have diverged. For instance, at the end of the Quaternary glaciations in
Europe, secondary contact occurred during the northward expansion of the populations
which had found refugia in the southern peninsulas. With the advent of multi-locus
markers, secondary contact can be investigated using various molecular signatures
including gradients of allele frequency, admixture clines, and local increase
of genetic differentiation. We use coalescent simulations to investigate if molecular
data provide enough information to distinguish between secondary contact following
range expansion and an alternative evolutionary scenario consisting of a barrier
to gene flow in an isolation-by-distance model. We find that an excess of linkage
disequilibrium and of genetic diversity at the suture zone is a unique signature
of secondary contact. We also find that the directionality index ψ, which was
proposed to study range expansion, is informative to distinguish between the two
hypotheses. However, although evidence for secondary contact is usually conveyed
by statistics related to admixture coefficients, we find that they can be confounded
by isolation-by-distance. We recommend to account for the spatial repartition
of individuals when investigating secondary contact in order to better reflect
the complex spatio-temporal evolution of populations and species.
acknowledgement: 'Johanna Bertl was supported by the Vienna Graduate School of Population
Genetics (Austrian Science Fund (FWF): W1225-B20) and worked on this project while
employed at the Department of Statistics and Operations Research, University of
Vienna, Austria. This article was developed in the framework of the Grenoble Alpes
Data Institute, which is supported by the French National Research Agency under
the “Investissments d’avenir” program (ANR-15-IDEX-02).'
article_number: e5325
article_processing_charge: No
author:
- first_name: Johanna
full_name: Bertl, Johanna
last_name: Bertl
- first_name: Harald
full_name: Ringbauer, Harald
id: 417FCFF4-F248-11E8-B48F-1D18A9856A87
last_name: Ringbauer
orcid: 0000-0002-4884-9682
- first_name: Michaël
full_name: Blum, Michaël
last_name: Blum
citation:
ama: Bertl J, Ringbauer H, Blum M. Can secondary contact following range expansion
be distinguished from barriers to gene flow? PeerJ. 2018;2018(10). doi:10.7717/peerj.5325
apa: Bertl, J., Ringbauer, H., & Blum, M. (2018). Can secondary contact following
range expansion be distinguished from barriers to gene flow? PeerJ. PeerJ.
https://doi.org/10.7717/peerj.5325
chicago: Bertl, Johanna, Harald Ringbauer, and Michaël Blum. “Can Secondary Contact
Following Range Expansion Be Distinguished from Barriers to Gene Flow?” PeerJ.
PeerJ, 2018. https://doi.org/10.7717/peerj.5325.
ieee: J. Bertl, H. Ringbauer, and M. Blum, “Can secondary contact following range
expansion be distinguished from barriers to gene flow?,” PeerJ, vol. 2018,
no. 10. PeerJ, 2018.
ista: Bertl J, Ringbauer H, Blum M. 2018. Can secondary contact following range
expansion be distinguished from barriers to gene flow? PeerJ. 2018(10), e5325.
mla: Bertl, Johanna, et al. “Can Secondary Contact Following Range Expansion Be
Distinguished from Barriers to Gene Flow?” PeerJ, vol. 2018, no. 10, e5325,
PeerJ, 2018, doi:10.7717/peerj.5325.
short: J. Bertl, H. Ringbauer, M. Blum, PeerJ 2018 (2018).
date_created: 2018-12-11T11:44:16Z
date_published: 2018-10-01T00:00:00Z
date_updated: 2023-10-17T12:24:43Z
day: '01'
ddc:
- '576'
department:
- _id: NiBa
doi: 10.7717/peerj.5325
external_id:
isi:
- '000447204400001'
pmid:
- '30294507'
file:
- access_level: open_access
checksum: 3334886c4b39678db4c4b74299ca14ba
content_type: application/pdf
creator: dernst
date_created: 2018-12-17T10:46:06Z
date_updated: 2020-07-14T12:46:06Z
file_id: '5692'
file_name: 2018_PeerJ_Bertl.pdf
file_size: 1328344
relation: main_file
file_date_updated: 2020-07-14T12:46:06Z
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intvolume: ' 2018'
isi: 1
issue: '10'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
pmid: 1
publication: PeerJ
publication_status: published
publisher: PeerJ
publist_id: '8022'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Can secondary contact following range expansion be distinguished from barriers
to gene flow?
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: '200'
abstract:
- lang: eng
text: This thesis is concerned with the inference of current population structure
based on geo-referenced genetic data. The underlying idea is that population structure
affects its spatial genetic structure. Therefore, genotype information can be
utilized to estimate important demographic parameters such as migration rates.
These indirect estimates of population structure have become very attractive,
as genotype data is now widely available. However, there also has been much concern
about these approaches. Importantly, genetic structure can be influenced by many
complex patterns, which often cannot be disentangled. Moreover, many methods merely
fit heuristic patterns of genetic structure, and do not build upon population
genetics theory. Here, I describe two novel inference methods that address these
shortcomings. In Chapter 2, I introduce an inference scheme based on a new type
of signal, identity by descent (IBD) blocks. Recently, it has become feasible
to detect such long blocks of genome shared between pairs of samples. These blocks
are direct traces of recent coalescence events. As such, they contain ample signal
for inferring recent demography. I examine sharing of IBD blocks in two-dimensional
populations with local migration. Using a diffusion approximation, I derive formulas
for an isolation by distance pattern of long IBD blocks and show that sharing
of long IBD blocks approaches rapid exponential decay for growing sample distance.
I describe an inference scheme based on these results. It can robustly estimate
the dispersal rate and population density, which is demonstrated on simulated
data. I also show an application to estimate mean migration and the rate of recent
population growth within Eastern Europe. Chapter 3 is about a novel method to
estimate barriers to gene flow in a two dimensional population. This inference
scheme utilizes geographically localized allele frequency fluctuations - a classical
isolation by distance signal. The strength of these local fluctuations increases
on average next to a barrier, and there is less correlation across it. I again
use a framework of diffusion of ancestral lineages to model this effect, and provide
an efficient numerical implementation to fit the results to geo-referenced biallelic
SNP data. This inference scheme is able to robustly estimate strong barriers to
gene flow, as tests on simulated data confirm.
alternative_title:
- ISTA Thesis
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
citation:
ama: Ringbauer H. Inferring recent demography from spatial genetic structure. 2018.
doi:10.15479/AT:ISTA:th_963
apa: Ringbauer, H. (2018). Inferring recent demography from spatial genetic structure.
Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:th_963
chicago: Ringbauer, Harald. “Inferring Recent Demography from Spatial Genetic Structure.”
Institute of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:th_963.
ieee: H. Ringbauer, “Inferring recent demography from spatial genetic structure,”
Institute of Science and Technology Austria, 2018.
ista: Ringbauer H. 2018. Inferring recent demography from spatial genetic structure.
Institute of Science and Technology Austria.
mla: Ringbauer, Harald. Inferring Recent Demography from Spatial Genetic Structure.
Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:th_963.
short: H. Ringbauer, Inferring Recent Demography from Spatial Genetic Structure,
Institute of Science and Technology Austria, 2018.
date_created: 2018-12-11T11:45:10Z
date_published: 2018-02-21T00:00:00Z
date_updated: 2025-05-28T11:57:06Z
day: '21'
ddc:
- '576'
degree_awarded: PhD
department:
- _id: NiBa
doi: 10.15479/AT:ISTA:th_963
file:
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language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: '146'
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
publist_id: '7713'
pubrep_id: '963'
related_material:
record:
- id: '563'
relation: part_of_dissertation
status: public
- id: '1074'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
title: Inferring recent demography from spatial genetic structure
tmp:
image: /images/cc_by_nc.png
legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
short: CC BY-NC (4.0)
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2018'
...
---
_id: '723'
abstract:
- lang: eng
text: Escaping local optima is one of the major obstacles to function optimisation.
Using the metaphor of a fitness landscape, local optima correspond to hills separated
by fitness valleys that have to be overcome. We define a class of fitness valleys
of tunable difficulty by considering their length, representing the Hamming path
between the two optima and their depth, the drop in fitness. For this function
class we present a runtime comparison between stochastic search algorithms using
different search strategies. The (1+1) EA is a simple and well-studied evolutionary
algorithm that has to jump across the valley to a point of higher fitness because
it does not accept worsening moves (elitism). In contrast, the Metropolis algorithm
and the Strong Selection Weak Mutation (SSWM) algorithm, a famous process in population
genetics, are both able to cross the fitness valley by accepting worsening moves.
We show that the runtime of the (1+1) EA depends critically on the length of the
valley while the runtimes of the non-elitist algorithms depend crucially on the
depth of the valley. Moreover, we show that both SSWM and Metropolis can also
efficiently optimise a rugged function consisting of consecutive valleys.
article_processing_charge: No
author:
- first_name: Pietro
full_name: Oliveto, Pietro
last_name: Oliveto
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Jorge
full_name: Pérez Heredia, Jorge
last_name: Pérez Heredia
- first_name: Dirk
full_name: Sudholt, Dirk
last_name: Sudholt
- first_name: Barbora
full_name: Trubenova, Barbora
id: 42302D54-F248-11E8-B48F-1D18A9856A87
last_name: Trubenova
orcid: 0000-0002-6873-2967
citation:
ama: Oliveto P, Paixao T, Pérez Heredia J, Sudholt D, Trubenova B. How to escape
local optima in black box optimisation when non elitism outperforms elitism. Algorithmica.
2018;80(5):1604-1633. doi:10.1007/s00453-017-0369-2
apa: Oliveto, P., Paixao, T., Pérez Heredia, J., Sudholt, D., & Trubenova, B.
(2018). How to escape local optima in black box optimisation when non elitism
outperforms elitism. Algorithmica. Springer. https://doi.org/10.1007/s00453-017-0369-2
chicago: Oliveto, Pietro, Tiago Paixao, Jorge Pérez Heredia, Dirk Sudholt, and Barbora
Trubenova. “How to Escape Local Optima in Black Box Optimisation When Non Elitism
Outperforms Elitism.” Algorithmica. Springer, 2018. https://doi.org/10.1007/s00453-017-0369-2.
ieee: P. Oliveto, T. Paixao, J. Pérez Heredia, D. Sudholt, and B. Trubenova, “How
to escape local optima in black box optimisation when non elitism outperforms
elitism,” Algorithmica, vol. 80, no. 5. Springer, pp. 1604–1633, 2018.
ista: Oliveto P, Paixao T, Pérez Heredia J, Sudholt D, Trubenova B. 2018. How to
escape local optima in black box optimisation when non elitism outperforms elitism.
Algorithmica. 80(5), 1604–1633.
mla: Oliveto, Pietro, et al. “How to Escape Local Optima in Black Box Optimisation
When Non Elitism Outperforms Elitism.” Algorithmica, vol. 80, no. 5, Springer,
2018, pp. 1604–33, doi:10.1007/s00453-017-0369-2.
short: P. Oliveto, T. Paixao, J. Pérez Heredia, D. Sudholt, B. Trubenova, Algorithmica
80 (2018) 1604–1633.
date_created: 2018-12-11T11:48:09Z
date_published: 2018-05-01T00:00:00Z
date_updated: 2023-09-11T14:11:35Z
day: '01'
ddc:
- '576'
department:
- _id: NiBa
- _id: CaGu
doi: 10.1007/s00453-017-0369-2
ec_funded: 1
external_id:
isi:
- '000428239300010'
file:
- access_level: open_access
checksum: 7d92f5d7be81e387edeec4f06442791c
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:08:14Z
date_updated: 2020-07-14T12:47:54Z
file_id: '4674'
file_name: IST-2018-1014-v1+1_2018_Paixao_Escape.pdf
file_size: 691245
relation: main_file
file_date_updated: 2020-07-14T12:47:54Z
has_accepted_license: '1'
intvolume: ' 80'
isi: 1
issue: '5'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: 1604 - 1633
project:
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
publication: Algorithmica
publication_status: published
publisher: Springer
publist_id: '6957'
pubrep_id: '1014'
quality_controlled: '1'
scopus_import: '1'
status: public
title: How to escape local optima in black box optimisation when non elitism outperforms
elitism
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 80
year: '2018'
...
---
_id: '5583'
abstract:
- lang: eng
text: "Data and scripts are provided in support of the manuscript \"Efficient inference
of paternity and sibship inference given known maternity via hierarchical clustering\",
and the associated Python package FAPS, available from www.github.com/ellisztamas/faps.\r\n\r\nSimulation
scripts cover:\r\n1. Performance under different mating scenarios.\r\n2. Comparison
with Colony2.\r\n3. Effect of changing the number of Monte Carlo draws\r\n\r\nThe
final script covers the analysis of half-sib arrays from wild-pollinated seed
in an Antirrhinum majus hybrid zone."
article_processing_charge: No
author:
- first_name: Thomas
full_name: Ellis, Thomas
id: 3153D6D4-F248-11E8-B48F-1D18A9856A87
last_name: Ellis
orcid: 0000-0002-8511-0254
citation:
ama: Ellis T. Data and Python scripts supporting Python package FAPS. 2018. doi:10.15479/AT:ISTA:95
apa: Ellis, T. (2018). Data and Python scripts supporting Python package FAPS. Institute
of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:95
chicago: Ellis, Thomas. “Data and Python Scripts Supporting Python Package FAPS.”
Institute of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:95.
ieee: T. Ellis, “Data and Python scripts supporting Python package FAPS.” Institute
of Science and Technology Austria, 2018.
ista: Ellis T. 2018. Data and Python scripts supporting Python package FAPS, Institute
of Science and Technology Austria, 10.15479/AT:ISTA:95.
mla: Ellis, Thomas. Data and Python Scripts Supporting Python Package FAPS.
Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:95.
short: T. Ellis, (2018).
contributor:
- first_name: David
id: 419049E2-F248-11E8-B48F-1D18A9856A87
last_name: Field
- first_name: Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
datarep_id: '95'
date_created: 2018-12-12T12:31:39Z
date_published: 2018-02-12T00:00:00Z
date_updated: 2025-05-28T11:56:58Z
day: '12'
department:
- _id: NiBa
doi: 10.15479/AT:ISTA:95
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date_updated: 2020-07-14T12:47:07Z
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month: '02'
oa: 1
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publisher: Institute of Science and Technology Austria
related_material:
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relation: research_paper
status: public
status: public
title: Data and Python scripts supporting Python package FAPS
tmp:
image: /images/cc_0.png
legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode
name: Creative Commons Public Domain Dedication (CC0 1.0)
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type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2018'
...
---
_id: '563'
abstract:
- lang: eng
text: "In continuous populations with local migration, nearby pairs of individuals
have on average more similar genotypes\r\nthan geographically well separated pairs.
A barrier to gene flow distorts this classical pattern of isolation by distance.
Genetic similarity is decreased for sample pairs on different sides of the barrier
and increased for pairs on the same side near the barrier. Here, we introduce
an inference scheme that utilizes this signal to detect and estimate the strength
of a linear barrier to gene flow in two-dimensions. We use a diffusion approximation
to model the effects of a barrier on the geographical spread of ancestry backwards
in time. This approach allows us to calculate the chance of recent coalescence
and probability of identity by descent. We introduce an inference scheme that
fits these theoretical results to the geographical covariance structure of bialleleic
genetic markers. It can estimate the strength of the barrier as well as several
demographic parameters. We investigate the power of our inference scheme to detect
barriers by applying it to a wide range of simulated data. We also showcase an
example application to a Antirrhinum majus (snapdragon) flower color hybrid zone,
where we do not detect any signal of a strong genome wide barrier to gene flow."
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: Alexander
full_name: Kolesnikov, Alexander
id: 2D157DB6-F248-11E8-B48F-1D18A9856A87
last_name: Kolesnikov
- first_name: David
full_name: Field, David
last_name: Field
- 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, Kolesnikov A, Field D, Barton NH. Estimating barriers to gene
flow from distorted isolation-by-distance patterns. Genetics. 2018;208(3):1231-1245.
doi:10.1534/genetics.117.300638
apa: Ringbauer, H., Kolesnikov, A., Field, D., & Barton, N. H. (2018). Estimating
barriers to gene flow from distorted isolation-by-distance patterns. Genetics.
Genetics Society of America. https://doi.org/10.1534/genetics.117.300638
chicago: Ringbauer, Harald, Alexander Kolesnikov, David Field, and Nicholas H Barton.
“Estimating Barriers to Gene Flow from Distorted Isolation-by-Distance Patterns.”
Genetics. Genetics Society of America, 2018. https://doi.org/10.1534/genetics.117.300638.
ieee: H. Ringbauer, A. Kolesnikov, D. Field, and N. H. Barton, “Estimating barriers
to gene flow from distorted isolation-by-distance patterns,” Genetics,
vol. 208, no. 3. Genetics Society of America, pp. 1231–1245, 2018.
ista: Ringbauer H, Kolesnikov A, Field D, Barton NH. 2018. Estimating barriers to
gene flow from distorted isolation-by-distance patterns. Genetics. 208(3), 1231–1245.
mla: Ringbauer, Harald, et al. “Estimating Barriers to Gene Flow from Distorted
Isolation-by-Distance Patterns.” Genetics, vol. 208, no. 3, Genetics Society
of America, 2018, pp. 1231–45, doi:10.1534/genetics.117.300638.
short: H. Ringbauer, A. Kolesnikov, D. Field, N.H. Barton, Genetics 208 (2018) 1231–1245.
date_created: 2018-12-11T11:47:12Z
date_published: 2018-03-01T00:00:00Z
date_updated: 2023-09-11T13:42:38Z
day: '01'
department:
- _id: NiBa
- _id: ChLa
doi: 10.1534/genetics.117.300638
external_id:
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language:
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month: '03'
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page: 1231-1245
publication: Genetics
publication_status: published
publisher: Genetics Society of America
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relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Estimating barriers to gene flow from distorted isolation-by-distance patterns
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 208
year: '2018'
...
---
_id: '564'
abstract:
- lang: eng
text: "Maladapted individuals can only colonise a new habitat if they can evolve
a\r\npositive growth rate fast enough to avoid extinction, a process known as
evolutionary\r\nrescue. We treat log fitness at low density in the new habitat
as a\r\nsingle polygenic trait and thus use the infinitesimal model to follow
the evolution\r\nof the growth rate; this assumes that the trait values of offspring
of a\r\nsexual union are normally distributed around the mean of the parents’
trait\r\nvalues, with variance that depends only on the parents’ relatedness.
The\r\nprobability that a single migrant can establish depends on just two parameters:\r\nthe
mean and genetic variance of the trait in the source population.\r\nThe chance
of success becomes small if migrants come from a population\r\nwith mean growth
rate in the new habitat more than a few standard deviations\r\nbelow zero; this
chance depends roughly equally on the probability\r\nthat the initial founder
is unusually fit, and on the subsequent increase in\r\ngrowth rate of its offspring
as a result of selection. The loss of genetic variation\r\nduring the founding
event is substantial, but highly variable. With\r\ncontinued migration at rate
M, establishment is inevitable; when migration\r\nis rare, the expected time to
establishment decreases inversely with M.\r\nHowever, above a threshold migration
rate, the population may be trapped\r\nin a ‘sink’ state, in which adaptation
is held back by gene flow; above this\r\nthreshold, the expected time to establishment
increases exponentially with M. This threshold behaviour is captured by a deterministic
approximation,\r\nwhich assumes a Gaussian distribution of the trait in the founder
population\r\nwith mean and variance evolving deterministically. By assuming a
constant\r\ngenetic variance, we also develop a diffusion approximation for the
joint distribution\r\nof population size and trait mean, which extends to include
stabilising\r\nselection and density regulation. Divergence of the population
from its\r\nancestors causes partial reproductive isolation, which we measure
through\r\nthe reproductive value of migrants into the newly established population."
article_processing_charge: No
article_type: original
author:
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Alison
full_name: Etheridge, Alison
last_name: Etheridge
citation:
ama: Barton NH, Etheridge A. Establishment in a new habitat by polygenic adaptation.
Theoretical Population Biology. 2018;122(7):110-127. doi:10.1016/j.tpb.2017.11.007
apa: Barton, N. H., & Etheridge, A. (2018). Establishment in a new habitat by
polygenic adaptation. Theoretical Population Biology. Academic Press. https://doi.org/10.1016/j.tpb.2017.11.007
chicago: Barton, Nicholas H, and Alison Etheridge. “Establishment in a New Habitat
by Polygenic Adaptation.” Theoretical Population Biology. Academic Press,
2018. https://doi.org/10.1016/j.tpb.2017.11.007.
ieee: N. H. Barton and A. Etheridge, “Establishment in a new habitat by polygenic
adaptation,” Theoretical Population Biology, vol. 122, no. 7. Academic
Press, pp. 110–127, 2018.
ista: Barton NH, Etheridge A. 2018. Establishment in a new habitat by polygenic
adaptation. Theoretical Population Biology. 122(7), 110–127.
mla: Barton, Nicholas H., and Alison Etheridge. “Establishment in a New Habitat
by Polygenic Adaptation.” Theoretical Population Biology, vol. 122, no.
7, Academic Press, 2018, pp. 110–27, doi:10.1016/j.tpb.2017.11.007.
short: N.H. Barton, A. Etheridge, Theoretical Population Biology 122 (2018) 110–127.
date_created: 2018-12-11T11:47:12Z
date_published: 2018-07-01T00:00:00Z
date_updated: 2025-05-28T11:42:45Z
day: '01'
ddc:
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- '576'
department:
- _id: NiBa
doi: 10.1016/j.tpb.2017.11.007
ec_funded: 1
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creator: nbarton
date_created: 2019-12-21T09:36:39Z
date_updated: 2020-07-14T12:47:09Z
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file_name: bartonetheridge.pdf
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language:
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month: '07'
oa: 1
oa_version: Submitted Version
page: 110-127
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Theoretical Population Biology
publication_status: published
publisher: Academic Press
publist_id: '7250'
quality_controlled: '1'
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status: public
scopus_import: '1'
status: public
title: Establishment in a new habitat by polygenic adaptation
tmp:
image: /images/cc_by_nc.png
legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
short: CC BY-NC (4.0)
type: journal_article
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volume: 122
year: '2018'
...
---
_id: '565'
abstract:
- lang: eng
text: 'We re-examine the model of Kirkpatrick and Barton for the spread of an inversion
into a local population. This model assumes that local selection maintains alleles
at two or more loci, despite immigration of alternative alleles at these loci
from another population. We show that an inversion is favored because it prevents
the breakdown of linkage disequilibrium generated by migration; the selective
advantage of an inversion is proportional to the amount of recombination between
the loci involved, as in other cases where inversions are selected for. We derive
expressions for the rate of spread of an inversion; when the loci covered by the
inversion are tightly linked, these conditions deviate substantially from those
proposed previously, and imply that an inversion can then have only a small advantage. '
article_processing_charge: No
article_type: original
author:
- first_name: Brian
full_name: Charlesworth, Brian
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
citation:
ama: Charlesworth B, Barton NH. The spread of an inversion with migration and selection.
Genetics. 2018;208(1):377-382. doi:10.1534/genetics.117.300426
apa: Charlesworth, B., & Barton, N. H. (2018). The spread of an inversion with
migration and selection. Genetics. Genetics . https://doi.org/10.1534/genetics.117.300426
chicago: Charlesworth, Brian, and Nicholas H Barton. “The Spread of an Inversion
with Migration and Selection.” Genetics. Genetics , 2018. https://doi.org/10.1534/genetics.117.300426.
ieee: B. Charlesworth and N. H. Barton, “The spread of an inversion with migration
and selection,” Genetics, vol. 208, no. 1. Genetics , pp. 377–382, 2018.
ista: Charlesworth B, Barton NH. 2018. The spread of an inversion with migration
and selection. Genetics. 208(1), 377–382.
mla: Charlesworth, Brian, and Nicholas H. Barton. “The Spread of an Inversion with
Migration and Selection.” Genetics, vol. 208, no. 1, Genetics , 2018, pp.
377–82, doi:10.1534/genetics.117.300426.
short: B. Charlesworth, N.H. Barton, Genetics 208 (2018) 377–382.
date_created: 2018-12-11T11:47:12Z
date_published: 2018-01-01T00:00:00Z
date_updated: 2023-09-19T10:12:31Z
day: '01'
department:
- _id: NiBa
doi: 10.1534/genetics.117.300426
external_id:
isi:
- '000419356300025'
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- '29158424'
intvolume: ' 208'
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issue: '1'
language:
- iso: eng
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url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753870/
month: '01'
oa: 1
oa_version: Published Version
page: 377 - 382
pmid: 1
publication: Genetics
publication_status: published
publisher: 'Genetics '
publist_id: '7249'
quality_controlled: '1'
scopus_import: '1'
status: public
title: The spread of an inversion with migration and selection
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 208
year: '2018'
...