---
_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: '39'
abstract:
- lang: eng
text: We study how a block of genome with a large number of weakly selected loci
introgresses under directional selection into a genetically homogeneous population.
We derive exact expressions for the expected rate of growth of any fragment of
the introduced block during the initial phase of introgression, and show that
the growth rate of a single-locus variant is largely insensitive to its own additive
effect, but depends instead on the combined effect of all loci within a characteristic
linkage scale. The expected growth rate of a fragment is highly correlated with
its long-term introgression probability in populations of moderate size, and can
hence identify variants that are likely to introgress across replicate populations.
We clarify how the introgression probability of an individual variant is determined
by the interplay between hitchhiking with relatively large fragments during the
early phase of introgression and selection on fine-scale variation within these,
which at longer times results in differential introgression probabilities for
beneficial and deleterious loci within successful fragments. By simulating individuals,
we also investigate how introgression probabilities at individual loci depend
on the variance of fitness effects, the net fitness of the introduced block, and
the size of the recipient population, and how this shapes the net advance under
selection. Our work suggests that even highly replicable substitutions may be
associated with a range of selective effects, which makes it challenging to fine
map the causal loci that underlie polygenic adaptation.
article_processing_charge: No
article_type: original
author:
- first_name: Himani
full_name: Sachdeva, Himani
id: 42377A0A-F248-11E8-B48F-1D18A9856A87
last_name: Sachdeva
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
citation:
ama: Sachdeva H, Barton NH. Replicability of introgression under linked, polygenic
selection. Genetics. 2018;210(4):1411-1427. doi:10.1534/genetics.118.301429
apa: Sachdeva, H., & Barton, N. H. (2018). Replicability of introgression under
linked, polygenic selection. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.118.301429
chicago: Sachdeva, Himani, and Nicholas H Barton. “Replicability of Introgression
under Linked, Polygenic Selection.” Genetics. Genetics Society of America,
2018. https://doi.org/10.1534/genetics.118.301429.
ieee: H. Sachdeva and N. H. Barton, “Replicability of introgression under linked,
polygenic selection,” Genetics, vol. 210, no. 4. Genetics Society of America,
pp. 1411–1427, 2018.
ista: Sachdeva H, Barton NH. 2018. Replicability of introgression under linked,
polygenic selection. Genetics. 210(4), 1411–1427.
mla: Sachdeva, Himani, and Nicholas H. Barton. “Replicability of Introgression under
Linked, Polygenic Selection.” Genetics, vol. 210, no. 4, Genetics Society
of America, 2018, pp. 1411–27, doi:10.1534/genetics.118.301429.
short: H. Sachdeva, N.H. Barton, Genetics 210 (2018) 1411–1427.
date_created: 2018-12-11T11:44:18Z
date_published: 2018-12-04T00:00:00Z
date_updated: 2023-09-18T08:10:29Z
day: '04'
department:
- _id: NiBa
doi: 10.1534/genetics.118.301429
external_id:
isi:
- '000452315900021'
intvolume: ' 210'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.biorxiv.org/content/10.1101/379578v1
month: '12'
oa: 1
oa_version: Preprint
page: 1411-1427
publication: Genetics
publication_identifier:
issn:
- '00166731'
publication_status: published
publisher: Genetics Society of America
quality_controlled: '1'
scopus_import: '1'
status: public
title: Replicability of introgression under linked, polygenic selection
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 210
year: '2018'
...
---
_id: '38'
abstract:
- lang: eng
text: 'Genomes of closely-related species or populations often display localized
regions of enhanced relative sequence divergence, termed genomic islands. It has
been proposed that these islands arise through selective sweeps and/or barriers
to gene flow. Here, we genetically dissect a genomic island that controls flower
color pattern differences between two subspecies of Antirrhinum majus, A.m.striatum
and A.m.pseudomajus, and relate it to clinal variation across a natural hybrid
zone. We show that selective sweeps likely raised relative divergence at two tightly-linked
MYB-like transcription factors, leading to distinct flower patterns in the two
subspecies. The two patterns provide alternate floral guides and create a strong
barrier to gene flow where populations come into contact. This barrier affects
the selected flower color genes and tightlylinked loci, but does not extend outside
of this domain, allowing gene flow to lower relative divergence for the rest of
the chromosome. Thus, both selective sweeps and barriers to gene flow play a role
in shaping genomic islands: sweeps cause elevation in relative divergence, while
heterogeneous gene flow flattens the surrounding "sea," making the island of divergence
stand out. By showing how selective sweeps establish alternative adaptive phenotypes
that lead to barriers to gene flow, our study sheds light on possible mechanisms
leading to reproductive isolation and speciation.'
acknowledgement: ' ERC Grant 201252 (to N.H.B.)'
article_processing_charge: No
author:
- first_name: Hugo
full_name: Tavares, Hugo
last_name: Tavares
- first_name: Annabel
full_name: Whitley, Annabel
last_name: Whitley
- first_name: David
full_name: Field, David
id: 419049E2-F248-11E8-B48F-1D18A9856A87
last_name: Field
orcid: 0000-0002-4014-8478
- first_name: Desmond
full_name: Bradley, Desmond
last_name: Bradley
- first_name: Matthew
full_name: Couchman, Matthew
last_name: Couchman
- first_name: Lucy
full_name: Copsey, Lucy
last_name: Copsey
- first_name: Joane
full_name: Elleouet, Joane
last_name: Elleouet
- first_name: Monique
full_name: Burrus, Monique
last_name: Burrus
- first_name: Christophe
full_name: Andalo, Christophe
last_name: Andalo
- first_name: Miaomiao
full_name: Li, Miaomiao
last_name: Li
- first_name: Qun
full_name: Li, Qun
last_name: Li
- first_name: Yongbiao
full_name: Xue, Yongbiao
last_name: Xue
- first_name: Alexandra B
full_name: Rebocho, Alexandra B
last_name: Rebocho
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Enrico
full_name: Coen, Enrico
last_name: Coen
citation:
ama: Tavares H, Whitley A, Field D, et al. Selection and gene flow shape genomic
islands that control floral guides. PNAS. 2018;115(43):11006-11011. doi:10.1073/pnas.1801832115
apa: Tavares, H., Whitley, A., Field, D., Bradley, D., Couchman, M., Copsey, L.,
… Coen, E. (2018). Selection and gene flow shape genomic islands that control
floral guides. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1801832115
chicago: Tavares, Hugo, Annabel Whitley, David Field, Desmond Bradley, Matthew Couchman,
Lucy Copsey, Joane Elleouet, et al. “Selection and Gene Flow Shape Genomic Islands
That Control Floral Guides.” PNAS. National Academy of Sciences, 2018.
https://doi.org/10.1073/pnas.1801832115.
ieee: H. Tavares et al., “Selection and gene flow shape genomic islands that
control floral guides,” PNAS, vol. 115, no. 43. National Academy of Sciences,
pp. 11006–11011, 2018.
ista: Tavares H, Whitley A, Field D, Bradley D, Couchman M, Copsey L, Elleouet J,
Burrus M, Andalo C, Li M, Li Q, Xue Y, Rebocho AB, Barton NH, Coen E. 2018. Selection
and gene flow shape genomic islands that control floral guides. PNAS. 115(43),
11006–11011.
mla: Tavares, Hugo, et al. “Selection and Gene Flow Shape Genomic Islands That Control
Floral Guides.” PNAS, vol. 115, no. 43, National Academy of Sciences, 2018,
pp. 11006–11, doi:10.1073/pnas.1801832115.
short: H. Tavares, A. Whitley, D. Field, D. Bradley, M. Couchman, L. Copsey, J.
Elleouet, M. Burrus, C. Andalo, M. Li, Q. Li, Y. Xue, A.B. Rebocho, N.H. Barton,
E. Coen, PNAS 115 (2018) 11006–11011.
date_created: 2018-12-11T11:44:18Z
date_published: 2018-10-23T00:00:00Z
date_updated: 2023-09-18T08:36:49Z
day: '23'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1073/pnas.1801832115
external_id:
isi:
- '000448040500065'
pmid:
- '30297406'
file:
- access_level: open_access
checksum: d2305d0cc81dbbe4c1c677d64ad6f6d1
content_type: application/pdf
creator: dernst
date_created: 2018-12-17T08:44:03Z
date_updated: 2020-07-14T12:46:16Z
file_id: '5683'
file_name: 11006.full.pdf
file_size: 1911302
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file_date_updated: 2020-07-14T12:46:16Z
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isi: 1
issue: '43'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 11006 - 11011
pmid: 1
publication: PNAS
publication_identifier:
issn:
- '00278424'
publication_status: published
publisher: National Academy of Sciences
publist_id: '8017'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Selection and gene flow shape genomic islands that control floral guides
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 115
year: '2018'
...
---
_id: '40'
abstract:
- lang: eng
text: Hanemaaijer et al. (Molecular Ecology, 27, 2018) describe the genetic consequences
of the introgression of an insecticide resistance allele into a mosquito population.
Linked alleles initially increased, but many of these later declined. It is hard
to determine whether this decline was due to counter‐selection, rather than simply
to chance.
article_processing_charge: Yes (via OA deal)
article_type: letter_note
author:
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
citation:
ama: Barton NH. The consequences of an introgression event. Molecular Ecology.
2018;27(24):4973-4975. doi:10.1111/mec.14950
apa: Barton, N. H. (2018). The consequences of an introgression event. Molecular
Ecology. Wiley. https://doi.org/10.1111/mec.14950
chicago: Barton, Nicholas H. “The Consequences of an Introgression Event.” Molecular
Ecology. Wiley, 2018. https://doi.org/10.1111/mec.14950.
ieee: N. H. Barton, “The consequences of an introgression event,” Molecular Ecology,
vol. 27, no. 24. Wiley, pp. 4973–4975, 2018.
ista: Barton NH. 2018. The consequences of an introgression event. Molecular Ecology.
27(24), 4973–4975.
mla: Barton, Nicholas H. “The Consequences of an Introgression Event.” Molecular
Ecology, vol. 27, no. 24, Wiley, 2018, pp. 4973–75, doi:10.1111/mec.14950.
short: N.H. Barton, Molecular Ecology 27 (2018) 4973–4975.
date_created: 2018-12-11T11:44:18Z
date_published: 2018-12-31T00:00:00Z
date_updated: 2023-09-19T10:06:08Z
day: '31'
ddc:
- '576'
department:
- _id: NiBa
doi: 10.1111/mec.14950
external_id:
isi:
- '000454600500001'
pmid:
- '30599087'
file:
- access_level: open_access
content_type: application/pdf
creator: apreinsp
date_created: 2019-07-19T06:54:46Z
date_updated: 2020-07-14T12:46:22Z
file_id: '6652'
file_name: 2018_MolecularEcology_BartonNick.pdf
file_size: 295452
relation: main_file
file_date_updated: 2020-07-14T12:46:22Z
has_accepted_license: '1'
intvolume: ' 27'
isi: 1
issue: '24'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
page: 4973-4975
pmid: 1
publication: Molecular Ecology
publication_identifier:
issn:
- 1365294X
publication_status: published
publisher: Wiley
publist_id: '8014'
quality_controlled: '1'
related_material:
record:
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relation: research_data
status: public
scopus_import: '1'
status: public
title: The consequences of an introgression event
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 27
year: '2018'
...
---
_id: '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'
pmid:
- '29158424'
intvolume: ' 208'
isi: 1
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
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'
...
---
_id: '430'
abstract:
- lang: eng
text: In this issue of GENETICS, a new method for detecting natural selection on
polygenic traits is developed and applied to sev- eral human examples ( Racimo
et al. 2018 ). By de fi nition, many loci contribute to variation in polygenic
traits, and a challenge for evolutionary ge neticists has been that these traits
can evolve by small, nearly undetectable shifts in allele frequencies across each
of many, typically unknown, loci. Recently, a helpful remedy has arisen. Genome-wide
associ- ation studies (GWAS) have been illuminating sets of loci that can be interrogated
jointly for c hanges in allele frequencies. By aggregating small signal s of change
across many such loci, directional natural selection is now in principle detect-
able using genetic data, even for highly polygenic traits. This is an exciting
arena of progress – with these methods, tests can be made for selection associated
with traits, and we can now study selection in what may be its most prevalent
mode. The continuing fast pace of GWAS publications suggest there will be many
more polygenic tests of selection in the near future, as every new GWAS is an
opportunity for an accom- panying test of polygenic selection. However, it is
important to be aware of complications th at arise in interpretation, especially
given that these studies may easily be misinter- preted both in and outside the
evolutionary genetics commu- nity. Here, we provide context for understanding
polygenic tests and urge caution regarding how these results are inter- preted
and reported upon more broadly.
article_processing_charge: No
author:
- first_name: John
full_name: Novembre, John
last_name: Novembre
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
citation:
ama: Novembre J, Barton NH. Tread lightly interpreting polygenic tests of selection.
Genetics. 2018;208(4):1351-1355. doi:10.1534/genetics.118.300786
apa: Novembre, J., & Barton, N. H. (2018). Tread lightly interpreting polygenic
tests of selection. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.118.300786
chicago: Novembre, John, and Nicholas H Barton. “Tread Lightly Interpreting Polygenic
Tests of Selection.” Genetics. Genetics Society of America, 2018. https://doi.org/10.1534/genetics.118.300786.
ieee: J. Novembre and N. H. Barton, “Tread lightly interpreting polygenic tests
of selection,” Genetics, vol. 208, no. 4. Genetics Society of America,
pp. 1351–1355, 2018.
ista: Novembre J, Barton NH. 2018. Tread lightly interpreting polygenic tests of
selection. Genetics. 208(4), 1351–1355.
mla: Novembre, John, and Nicholas H. Barton. “Tread Lightly Interpreting Polygenic
Tests of Selection.” Genetics, vol. 208, no. 4, Genetics Society of America,
2018, pp. 1351–55, doi:10.1534/genetics.118.300786.
short: J. Novembre, N.H. Barton, Genetics 208 (2018) 1351–1355.
date_created: 2018-12-11T11:46:26Z
date_published: 2018-04-01T00:00:00Z
date_updated: 2023-09-19T10:17:30Z
day: '01'
ddc:
- '576'
department:
- _id: NiBa
doi: 10.1534/genetics.118.300786
external_id:
isi:
- '000429094400005'
file:
- access_level: open_access
checksum: 3d838dc285df394376555b794b6a5ad1
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:12:40Z
date_updated: 2020-07-14T12:46:26Z
file_id: '4958'
file_name: IST-2018-1012-v1+1_2018_Barton_Tread.pdf
file_size: 500129
relation: main_file
file_date_updated: 2020-07-14T12:46:26Z
has_accepted_license: '1'
intvolume: ' 208'
isi: 1
issue: '4'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: 1351 - 1355
publication: Genetics
publication_status: published
publisher: Genetics Society of America
publist_id: '7393'
pubrep_id: '1012'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Tread lightly interpreting polygenic tests of selection
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 208
year: '2018'
...
---
_id: '607'
abstract:
- lang: eng
text: We study the Fokker-Planck equation derived in the large system limit of the
Markovian process describing the dynamics of quantitative traits. The Fokker-Planck
equation is posed on a bounded domain and its transport and diffusion coefficients
vanish on the domain's boundary. We first argue that, despite this degeneracy,
the standard no-flux boundary condition is valid. We derive the weak formulation
of the problem and prove the existence and uniqueness of its solutions by constructing
the corresponding contraction semigroup on a suitable function space. Then, we
prove that for the parameter regime with high enough mutation rate the problem
exhibits a positive spectral gap, which implies exponential convergence to equilibrium.Next,
we provide a simple derivation of the so-called Dynamic Maximum Entropy (DynMaxEnt)
method for approximation of observables (moments) of the Fokker-Planck solution,
which can be interpreted as a nonlinear Galerkin approximation. The limited applicability
of the DynMaxEnt method inspires us to introduce its modified version that is
valid for the whole range of admissible parameters. Finally, we present several
numerical experiments to demonstrate the performance of both the original and
modified DynMaxEnt methods. We observe that in the parameter regimes where both
methods are valid, the modified one exhibits slightly better approximation properties
compared to the original one.
acknowledgement: "JH and PM are funded by KAUST baseline funds and grant no. 1000000193
.\r\nWe thank Nicholas Barton (IST Austria) for his useful comments and suggestions.
\r\n\r\n"
article_processing_charge: No
author:
- first_name: Katarina
full_name: Bodova, Katarina
id: 2BA24EA0-F248-11E8-B48F-1D18A9856A87
last_name: Bodova
orcid: 0000-0002-7214-0171
- first_name: Jan
full_name: Haskovec, Jan
last_name: Haskovec
- first_name: Peter
full_name: Markowich, Peter
last_name: Markowich
citation:
ama: 'Bodova K, Haskovec J, Markowich P. Well posedness and maximum entropy approximation
for the dynamics of quantitative traits. Physica D: Nonlinear Phenomena.
2018;376-377:108-120. doi:10.1016/j.physd.2017.10.015'
apa: 'Bodova, K., Haskovec, J., & Markowich, P. (2018). Well posedness and maximum
entropy approximation for the dynamics of quantitative traits. Physica D: Nonlinear
Phenomena. Elsevier. https://doi.org/10.1016/j.physd.2017.10.015'
chicago: 'Bodova, Katarina, Jan Haskovec, and Peter Markowich. “Well Posedness and
Maximum Entropy Approximation for the Dynamics of Quantitative Traits.” Physica
D: Nonlinear Phenomena. Elsevier, 2018. https://doi.org/10.1016/j.physd.2017.10.015.'
ieee: 'K. Bodova, J. Haskovec, and P. Markowich, “Well posedness and maximum entropy
approximation for the dynamics of quantitative traits,” Physica D: Nonlinear
Phenomena, vol. 376–377. Elsevier, pp. 108–120, 2018.'
ista: 'Bodova K, Haskovec J, Markowich P. 2018. Well posedness and maximum entropy
approximation for the dynamics of quantitative traits. Physica D: Nonlinear Phenomena.
376–377, 108–120.'
mla: 'Bodova, Katarina, et al. “Well Posedness and Maximum Entropy Approximation
for the Dynamics of Quantitative Traits.” Physica D: Nonlinear Phenomena,
vol. 376–377, Elsevier, 2018, pp. 108–20, doi:10.1016/j.physd.2017.10.015.'
short: 'K. Bodova, J. Haskovec, P. Markowich, Physica D: Nonlinear Phenomena 376–377
(2018) 108–120.'
date_created: 2018-12-11T11:47:28Z
date_published: 2018-08-01T00:00:00Z
date_updated: 2023-09-19T10:38:34Z
day: '01'
department:
- _id: NiBa
- _id: GaTk
doi: 10.1016/j.physd.2017.10.015
external_id:
arxiv:
- '1704.08757'
isi:
- '000437962900012'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1704.08757
month: '08'
oa: 1
oa_version: Submitted Version
page: 108-120
publication: 'Physica D: Nonlinear Phenomena'
publication_status: published
publisher: Elsevier
publist_id: '7198'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Well posedness and maximum entropy approximation for the dynamics of quantitative
traits
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 376-377
year: '2018'
...
---
_id: '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: 2023-09-20T12:00:56Z
day: '21'
ddc:
- '576'
degree_awarded: PhD
department:
- _id: NiBa
doi: 10.15479/AT:ISTA:th_963
file:
- access_level: open_access
checksum: 8cc534d2b528ae017acf80874cce48c9
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:14:55Z
date_updated: 2020-07-14T12:45:23Z
file_id: '5111'
file_name: IST-2018-963-v1+1_thesis.pdf
file_size: 5792935
relation: main_file
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checksum: 6af18d7e5a7e2728ceda2f41ee24f628
content_type: application/zip
creator: dernst
date_created: 2019-04-05T09:30:12Z
date_updated: 2020-07-14T12:45:23Z
file_id: '6224'
file_name: 2018_thesis_ringbauer_source.zip
file_size: 113365
relation: source_file
file_date_updated: 2020-07-14T12:45:23Z
has_accepted_license: '1'
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: '139'
abstract:
- lang: eng
text: 'Genome-scale diversity data are increasingly available in a variety of biological
systems, and can be used to reconstruct the past evolutionary history of species
divergence. However, extracting the full demographic information from these data
is not trivial, and requires inferential methods that account for the diversity
of coalescent histories throughout the genome. Here, we evaluate the potential
and limitations of one such approach. We reexamine a well-known system of mussel
sister species, using the joint site frequency spectrum (jSFS) of synonymousmutations
computed either fromexome capture or RNA-seq, in an Approximate Bayesian Computation
(ABC) framework. We first assess the best sampling strategy (number of: individuals,
loci, and bins in the jSFS), and show that model selection is robust to variation
in the number of individuals and loci. In contrast, different binning choices
when summarizing the jSFS, strongly affect the results: including classes of low
and high frequency shared polymorphisms can more effectively reveal recent migration
events. We then take advantage of the flexibility of ABC to compare more realistic
models of speciation, including variation in migration rates through time (i.e.,
periodic connectivity) and across genes (i.e., genome-wide heterogeneity in migration
rates). We show that these models were consistently selected as the most probable,
suggesting that mussels have experienced a complex history of gene flow during
divergence and that the species boundary is semi-permeable. Our work provides
a comprehensive evaluation of ABC demographic inference in mussels based on the
coding jSFS, and supplies guidelines for employing different sequencing techniques
and sampling strategies. We emphasize, perhaps surprisingly, that inferences are
less limited by the volume of data, than by the way in which they are analyzed.'
article_number: '30083438'
article_processing_charge: No
author:
- first_name: Christelle
full_name: Fraisse, Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
orcid: 0000-0001-8441-5075
- first_name: Camille
full_name: Roux, Camille
last_name: Roux
- first_name: Pierre
full_name: Gagnaire, Pierre
last_name: Gagnaire
- first_name: Jonathan
full_name: Romiguier, Jonathan
last_name: Romiguier
- first_name: Nicolas
full_name: Faivre, Nicolas
last_name: Faivre
- first_name: John
full_name: Welch, John
last_name: Welch
- first_name: Nicolas
full_name: Bierne, Nicolas
last_name: Bierne
citation:
ama: 'Fraisse C, Roux C, Gagnaire P, et al. The divergence history of European blue
mussel species reconstructed from Approximate Bayesian Computation: The effects
of sequencing techniques and sampling strategies. PeerJ. 2018;2018(7).
doi:10.7717/peerj.5198'
apa: 'Fraisse, C., Roux, C., Gagnaire, P., Romiguier, J., Faivre, N., Welch, J.,
& Bierne, N. (2018). The divergence history of European blue mussel species
reconstructed from Approximate Bayesian Computation: The effects of sequencing
techniques and sampling strategies. PeerJ. PeerJ. https://doi.org/10.7717/peerj.5198'
chicago: 'Fraisse, Christelle, Camille Roux, Pierre Gagnaire, Jonathan Romiguier,
Nicolas Faivre, John Welch, and Nicolas Bierne. “The Divergence History of European
Blue Mussel Species Reconstructed from Approximate Bayesian Computation: The Effects
of Sequencing Techniques and Sampling Strategies.” PeerJ. PeerJ, 2018.
https://doi.org/10.7717/peerj.5198.'
ieee: 'C. Fraisse et al., “The divergence history of European blue mussel
species reconstructed from Approximate Bayesian Computation: The effects of sequencing
techniques and sampling strategies,” PeerJ, vol. 2018, no. 7. PeerJ, 2018.'
ista: 'Fraisse C, Roux C, Gagnaire P, Romiguier J, Faivre N, Welch J, Bierne N.
2018. The divergence history of European blue mussel species reconstructed from
Approximate Bayesian Computation: The effects of sequencing techniques and sampling
strategies. PeerJ. 2018(7), 30083438.'
mla: 'Fraisse, Christelle, et al. “The Divergence History of European Blue Mussel
Species Reconstructed from Approximate Bayesian Computation: The Effects of Sequencing
Techniques and Sampling Strategies.” PeerJ, vol. 2018, no. 7, 30083438,
PeerJ, 2018, doi:10.7717/peerj.5198.'
short: C. Fraisse, C. Roux, P. Gagnaire, J. Romiguier, N. Faivre, J. Welch, N. Bierne,
PeerJ 2018 (2018).
date_created: 2018-12-11T11:44:50Z
date_published: 2018-07-30T00:00:00Z
date_updated: 2023-10-17T12:25:28Z
day: '30'
ddc:
- '576'
department:
- _id: BeVi
- _id: NiBa
doi: 10.7717/peerj.5198
external_id:
isi:
- '000440484800002'
file:
- access_level: open_access
checksum: 7d55ae22598a1c70759cd671600cff53
content_type: application/pdf
creator: dernst
date_created: 2018-12-18T09:42:11Z
date_updated: 2020-07-14T12:44:48Z
file_id: '5739'
file_name: 2018_PeerJ_Fraisse.pdf
file_size: 1480792
relation: main_file
file_date_updated: 2020-07-14T12:44:48Z
has_accepted_license: '1'
intvolume: ' 2018'
isi: 1
issue: '7'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
publication: PeerJ
publication_status: published
publisher: PeerJ
publist_id: '7784'
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'The divergence history of European blue mussel species reconstructed from
Approximate Bayesian Computation: The effects of sequencing techniques and sampling
strategies'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 2018
year: '2018'
...
---
_id: '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
has_accepted_license: '1'
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: '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: 2024-02-21T13:45:00Z
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: '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: 2024-02-21T13:45:01Z
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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file_size: 342090
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file_date_updated: 2020-07-14T12:47:07Z
has_accepted_license: '1'
license: https://creativecommons.org/publicdomain/zero/1.0/
month: '02'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '286'
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)
short: CC0 (1.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2018'
...
---
_id: '5757'
abstract:
- lang: eng
text: "File S1. Variant Calling Format file of the ingroup: 197 haploid sequences
of D. melanogaster from Zambia (Africa) aligned to the D. melanogaster 5.57 reference
genome.\r\n\r\nFile S2. Variant Calling Format file of the outgroup: 1 haploid
sequence of D. simulans aligned to the D. melanogaster 5.57 reference genome.\r\n\r\nFile
S3. Annotations of each transcript in coding regions with SNPeff: Ps (# of synonymous
polymorphic sites); Pn (# of non-synonymous polymorphic sites); Ds (# of synonymous
divergent sites); Dn (# of non-synonymous divergent sites); DoS; ⍺ MK . All variants
were included.\r\n\r\nFile S4. Annotations of each transcript in non-coding regions
with SNPeff: Ps (# of synonymous polymorphic sites); Pu (# of UTR polymorphic
sites); Ds (# of synonymous divergent sites); Du (# of UTR divergent sites); DoS;
⍺ MK . All variants were included.\r\n\r\nFile S5. Annotations of each transcript
in coding regions with SNPGenie: Ps (# of synonymous polymorphic sites); πs (synonymous
diversity); Ss_p (total # of synonymous sites in the polymorphism data); Pn (#
of non-synonymous polymorphic sites); πn (non-synonymous diversity); Sn_p (total
# of non-synonymous sites in the polymorphism data); Ds (# of synonymous divergent
sites); ks (synonymous evolutionary rate); Ss_d (total # of synonymous sites in
the divergence data); Dn (# of non-synonymous divergent sites); kn (non-synonymous
evolutionary rate); Sn_d (total # of non-\r\nsynonymous sites in the divergence
data); DoS; ⍺ MK . All variants were included.\r\n\r\nFile S6. Gene expression
values (RPKM summed over all transcripts) for each sample. Values were quantile-normalized
across all samples.\r\n\r\nFile S7. Final dataset with all covariates, ⍺ MK ,
ωA MK and DoS for coding sites, excluding variants below 5% frequency.\r\n\r\nFile
S8. Final dataset with all covariates, ⍺ MK , ωA MK and DoS for non-coding sites,
excluding variants below 5%\r\nfrequency.\r\n\r\nFile S9. Final dataset with all
covariates, ⍺ EWK , ωA EWK and deleterious SFS for coding sites obtained with
the Eyre-Walker and Keightley method on binned data and using all variants."
article_processing_charge: No
author:
- first_name: Christelle
full_name: Fraisse, Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
orcid: 0000-0001-8441-5075
citation:
ama: Fraisse C. Supplementary Files for “Pleiotropy modulates the efficacy of selection
in Drosophila melanogaster.” 2018. doi:10.15479/at:ista:/5757
apa: Fraisse, C. (2018). Supplementary Files for “Pleiotropy modulates the efficacy
of selection in Drosophila melanogaster.” Institute of Science and Technology
Austria. https://doi.org/10.15479/at:ista:/5757
chicago: Fraisse, Christelle. “Supplementary Files for ‘Pleiotropy Modulates the
Efficacy of Selection in Drosophila Melanogaster.’” Institute of Science and Technology
Austria, 2018. https://doi.org/10.15479/at:ista:/5757.
ieee: C. Fraisse, “Supplementary Files for ‘Pleiotropy modulates the efficacy of
selection in Drosophila melanogaster.’” Institute of Science and Technology Austria,
2018.
ista: Fraisse C. 2018. Supplementary Files for ‘Pleiotropy modulates the efficacy
of selection in Drosophila melanogaster’, Institute of Science and Technology
Austria, 10.15479/at:ista:/5757.
mla: Fraisse, Christelle. Supplementary Files for “Pleiotropy Modulates the Efficacy
of Selection in Drosophila Melanogaster.” Institute of Science and Technology
Austria, 2018, doi:10.15479/at:ista:/5757.
short: C. Fraisse, (2018).
contributor:
- first_name: Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
- first_name: Gemma
id: 33AB266C-F248-11E8-B48F-1D18A9856A87
last_name: Puixeu Sala
- first_name: Beatriz
id: 49E1C5C6-F248-11E8-B48F-1D18A9856A87
last_name: Vicoso
orcid: 0000-0002-4579-8306
date_created: 2018-12-19T14:22:35Z
date_published: 2018-12-19T00:00:00Z
date_updated: 2024-02-21T13:59:18Z
day: '19'
ddc:
- '576'
department:
- _id: BeVi
- _id: NiBa
doi: 10.15479/at:ista:/5757
ec_funded: 1
file:
- access_level: open_access
checksum: aed7ee9ca3f4dc07d8a66945f68e13cd
content_type: application/zip
creator: cfraisse
date_created: 2018-12-19T14:19:52Z
date_updated: 2020-07-14T12:47:11Z
file_id: '5758'
file_name: FileS1.zip
file_size: 369837892
relation: main_file
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checksum: 3592e467b4d8206650860b612d6e12f3
content_type: application/zip
creator: cfraisse
date_created: 2018-12-19T14:19:49Z
date_updated: 2020-07-14T12:47:11Z
file_id: '5759'
file_name: FileS2.zip
file_size: 84856909
relation: main_file
- access_level: open_access
checksum: c37ac5d5437c457338afc128c1240655
content_type: text/plain
creator: cfraisse
date_created: 2018-12-19T14:19:49Z
date_updated: 2020-07-14T12:47:11Z
file_id: '5760'
file_name: FileS3.txt
file_size: 881133
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content_type: text/plain
creator: cfraisse
date_created: 2018-12-19T14:19:49Z
date_updated: 2020-07-14T12:47:11Z
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creator: cfraisse
date_created: 2018-12-19T14:19:49Z
date_updated: 2020-07-14T12:47:11Z
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file_name: FileS9.txt
file_size: 100737
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file_date_updated: 2020-07-14T12:47:11Z
has_accepted_license: '1'
keyword:
- (mal)adaptation
- pleiotropy
- selective constraint
- evo-devo
- gene expression
- Drosophila melanogaster
month: '12'
oa: 1
oa_version: Published Version
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '6089'
relation: research_paper
status: public
status: public
title: Supplementary Files for "Pleiotropy modulates the efficacy of selection in
Drosophila melanogaster"
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2018'
...
---
_id: '1112'
abstract:
- lang: eng
text: There has been renewed interest in modelling the behaviour of evolutionary
algorithms by more traditional mathematical objects, such as ordinary differential
equations or Markov chains. The advantage is that the analysis becomes greatly
facilitated due to the existence of well established methods. However, this typically
comes at the cost of disregarding information about the process. Here, we introduce
the use of stochastic differential equations (SDEs) for the study of EAs. SDEs
can produce simple analytical results for the dynamics of stochastic processes,
unlike Markov chains which can produce rigorous but unwieldy expressions about
the dynamics. On the other hand, unlike ordinary differential equations (ODEs),
they do not discard information about the stochasticity of the process. We show
that these are especially suitable for the analysis of fixed budget scenarios
and present analogs of the additive and multiplicative drift theorems for SDEs.
We exemplify the use of these methods for two model algorithms ((1+1) EA and RLS)
on two canonical problems(OneMax and LeadingOnes).
author:
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Jorge
full_name: Pérez Heredia, Jorge
last_name: Pérez Heredia
citation:
ama: 'Paixao T, Pérez Heredia J. An application of stochastic differential equations
to evolutionary algorithms. In: Proceedings of the 14th ACM/SIGEVO Conference
on Foundations of Genetic Algorithms. ACM; 2017:3-11. doi:10.1145/3040718.3040729'
apa: 'Paixao, T., & Pérez Heredia, J. (2017). An application of stochastic differential
equations to evolutionary algorithms. In Proceedings of the 14th ACM/SIGEVO
Conference on Foundations of Genetic Algorithms (pp. 3–11). Copenhagen, Denmark:
ACM. https://doi.org/10.1145/3040718.3040729'
chicago: Paixao, Tiago, and Jorge Pérez Heredia. “An Application of Stochastic Differential
Equations to Evolutionary Algorithms.” In Proceedings of the 14th ACM/SIGEVO
Conference on Foundations of Genetic Algorithms, 3–11. ACM, 2017. https://doi.org/10.1145/3040718.3040729.
ieee: T. Paixao and J. Pérez Heredia, “An application of stochastic differential
equations to evolutionary algorithms,” in Proceedings of the 14th ACM/SIGEVO
Conference on Foundations of Genetic Algorithms, Copenhagen, Denmark, 2017,
pp. 3–11.
ista: 'Paixao T, Pérez Heredia J. 2017. An application of stochastic differential
equations to evolutionary algorithms. Proceedings of the 14th ACM/SIGEVO Conference
on Foundations of Genetic Algorithms. FOGA: Foundations of Genetic Algorithms,
3–11.'
mla: Paixao, Tiago, and Jorge Pérez Heredia. “An Application of Stochastic Differential
Equations to Evolutionary Algorithms.” Proceedings of the 14th ACM/SIGEVO Conference
on Foundations of Genetic Algorithms, ACM, 2017, pp. 3–11, doi:10.1145/3040718.3040729.
short: T. Paixao, J. Pérez Heredia, in:, Proceedings of the 14th ACM/SIGEVO Conference
on Foundations of Genetic Algorithms, ACM, 2017, pp. 3–11.
conference:
end_date: 2017-01-15
location: Copenhagen, Denmark
name: 'FOGA: Foundations of Genetic Algorithms'
start_date: 2017-01-12
date_created: 2018-12-11T11:50:12Z
date_published: 2017-01-12T00:00:00Z
date_updated: 2021-01-12T06:48:22Z
day: '12'
department:
- _id: NiBa
doi: 10.1145/3040718.3040729
language:
- iso: eng
month: '01'
oa_version: None
page: 3 - 11
publication: Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic
Algorithms
publication_identifier:
isbn:
- 978-145034651-1
publication_status: published
publisher: ACM
publist_id: '6255'
quality_controlled: '1'
scopus_import: 1
status: public
title: An application of stochastic differential equations to evolutionary algorithms
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2017'
...
---
_id: '1191'
abstract:
- lang: eng
text: Variation in genotypes may be responsible for differences in dispersal rates,
directional biases, and growth rates of individuals. These traits may favor certain
genotypes and enhance their spatiotemporal spreading into areas occupied by the
less advantageous genotypes. We study how these factors influence the speed of
spreading in the case of two competing genotypes under the assumption that spatial
variation of the total population is small compared to the spatial variation of
the frequencies of the genotypes in the population. In that case, the dynamics
of the frequency of one of the genotypes is approximately described by a generalized
Fisher–Kolmogorov–Petrovskii–Piskunov (F–KPP) equation. This generalized F–KPP
equation with (nonlinear) frequency-dependent diffusion and advection terms admits
traveling wave solutions that characterize the invasion of the dominant genotype.
Our existence results generalize the classical theory for traveling waves for
the F–KPP with constant coefficients. Moreover, in the particular case of the
quadratic (monostable) nonlinear growth–decay rate in the generalized F–KPP we
study in detail the influence of the variance in diffusion and mean displacement
rates of the two genotypes on the minimal wave propagation speed.
acknowledgement: "We thank Nick Barton, Katarína Bod’ová, and Sr\r\n-\r\ndan Sarikas
for constructive feed-\r\nback and support. Furthermore, we would like to express
our deep gratitude to the anonymous referees (one\r\nof whom, Jimmy Garnier, agreed
to reveal his identity) and the editor Max Souza, for very helpful and\r\ndetailed
comments and suggestions that significantly helped us to improve the manuscript.
This project has\r\nreceived funding from the European Union’s Seventh Framework
Programme for research, technological\r\ndevelopment and demonstration under Grant
Agreement 618091 Speed of Adaptation in Population Genet-\r\nics and Evolutionary
Computation (SAGE) and the European Research Council (ERC) Grant No. 250152\r\n(SN),
from the Scientific Grant Agency of the Slovak Republic under the Grant 1/0459/13
and by the Slovak\r\nResearch and Development Agency under the Contract No. APVV-14-0378
(RK). RK would also like to\r\nthank IST Austria for its hospitality during the
work on this project."
author:
- first_name: Richard
full_name: Kollár, Richard
last_name: Kollár
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
citation:
ama: Kollár R, Novak S. Existence of traveling waves for the generalized F–KPP equation.
Bulletin of Mathematical Biology. 2017;79(3):525-559. doi:10.1007/s11538-016-0244-3
apa: Kollár, R., & Novak, S. (2017). Existence of traveling waves for the generalized
F–KPP equation. Bulletin of Mathematical Biology. Springer. https://doi.org/10.1007/s11538-016-0244-3
chicago: Kollár, Richard, and Sebastian Novak. “Existence of Traveling Waves for
the Generalized F–KPP Equation.” Bulletin of Mathematical Biology. Springer,
2017. https://doi.org/10.1007/s11538-016-0244-3.
ieee: R. Kollár and S. Novak, “Existence of traveling waves for the generalized
F–KPP equation,” Bulletin of Mathematical Biology, vol. 79, no. 3. Springer,
pp. 525–559, 2017.
ista: Kollár R, Novak S. 2017. Existence of traveling waves for the generalized
F–KPP equation. Bulletin of Mathematical Biology. 79(3), 525–559.
mla: Kollár, Richard, and Sebastian Novak. “Existence of Traveling Waves for the
Generalized F–KPP Equation.” Bulletin of Mathematical Biology, vol. 79,
no. 3, Springer, 2017, pp. 525–59, doi:10.1007/s11538-016-0244-3.
short: R. Kollár, S. Novak, Bulletin of Mathematical Biology 79 (2017) 525–559.
date_created: 2018-12-11T11:50:38Z
date_published: 2017-03-01T00:00:00Z
date_updated: 2021-01-12T06:48:58Z
day: '01'
department:
- _id: NiBa
doi: 10.1007/s11538-016-0244-3
ec_funded: 1
intvolume: ' 79'
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1607.00944
month: '03'
oa: 1
oa_version: Preprint
page: 525-559
project:
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Bulletin of Mathematical Biology
publication_status: published
publisher: Springer
publist_id: '6160'
quality_controlled: '1'
scopus_import: 1
status: public
title: Existence of traveling waves for the generalized F–KPP equation
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 79
year: '2017'
...
---
_id: '570'
abstract:
- lang: eng
text: 'Most phenotypes are determined by molecular systems composed of specifically
interacting molecules. However, unlike for individual components, little is known
about the distributions of mutational effects of molecular systems as a whole.
We ask how the distribution of mutational effects of a transcriptional regulatory
system differs from the distributions of its components, by first independently,
and then simultaneously, mutating a transcription factor and the associated promoter
it represses. We find that the system distribution exhibits increased phenotypic
variation compared to individual component distributions - an effect arising from
intermolecular epistasis between the transcription factor and its DNA-binding
site. In large part, this epistasis can be qualitatively attributed to the structure
of the transcriptional regulatory system and could therefore be a common feature
in prokaryotes. Counter-intuitively, intermolecular epistasis can alleviate the
constraints of individual components, thereby increasing phenotypic variation
that selection could act on and facilitating adaptive evolution. '
article_number: e28921
author:
- first_name: Mato
full_name: Lagator, Mato
id: 345D25EC-F248-11E8-B48F-1D18A9856A87
last_name: Lagator
- first_name: Srdjan
full_name: Sarikas, Srdjan
id: 35F0286E-F248-11E8-B48F-1D18A9856A87
last_name: Sarikas
- first_name: Hande
full_name: Acar, Hande
id: 2DDF136A-F248-11E8-B48F-1D18A9856A87
last_name: Acar
orcid: 0000-0003-1986-9753
- first_name: Jonathan P
full_name: Bollback, Jonathan P
id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87
last_name: Bollback
orcid: 0000-0002-4624-4612
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Lagator M, Sarikas S, Acar H, Bollback JP, Guet CC. Regulatory network structure
determines patterns of intermolecular epistasis. eLife. 2017;6. doi:10.7554/eLife.28921
apa: Lagator, M., Sarikas, S., Acar, H., Bollback, J. P., & Guet, C. C. (2017).
Regulatory network structure determines patterns of intermolecular epistasis.
ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.28921
chicago: Lagator, Mato, Srdjan Sarikas, Hande Acar, Jonathan P Bollback, and Calin
C Guet. “Regulatory Network Structure Determines Patterns of Intermolecular Epistasis.”
ELife. eLife Sciences Publications, 2017. https://doi.org/10.7554/eLife.28921.
ieee: M. Lagator, S. Sarikas, H. Acar, J. P. Bollback, and C. C. Guet, “Regulatory
network structure determines patterns of intermolecular epistasis,” eLife,
vol. 6. eLife Sciences Publications, 2017.
ista: Lagator M, Sarikas S, Acar H, Bollback JP, Guet CC. 2017. Regulatory network
structure determines patterns of intermolecular epistasis. eLife. 6, e28921.
mla: Lagator, Mato, et al. “Regulatory Network Structure Determines Patterns of
Intermolecular Epistasis.” ELife, vol. 6, e28921, eLife Sciences Publications,
2017, doi:10.7554/eLife.28921.
short: M. Lagator, S. Sarikas, H. Acar, J.P. Bollback, C.C. Guet, ELife 6 (2017).
date_created: 2018-12-11T11:47:14Z
date_published: 2017-11-13T00:00:00Z
date_updated: 2021-01-12T08:03:15Z
day: '13'
ddc:
- '576'
department:
- _id: CaGu
- _id: JoBo
- _id: NiBa
doi: 10.7554/eLife.28921
ec_funded: 1
file:
- access_level: open_access
checksum: 273ab17f33305e4eaafd911ff88e7c5b
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:14:42Z
date_updated: 2020-07-14T12:47:10Z
file_id: '5096'
file_name: IST-2017-918-v1+1_elife-28921-figures-v3.pdf
file_size: 8453470
relation: main_file
- access_level: open_access
checksum: b433f90576c7be597cd43367946f8e7f
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:14:43Z
date_updated: 2020-07-14T12:47:10Z
file_id: '5097'
file_name: IST-2017-918-v1+2_elife-28921-v3.pdf
file_size: 1953221
relation: main_file
file_date_updated: 2020-07-14T12:47:10Z
has_accepted_license: '1'
intvolume: ' 6'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 2578D616-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '648440'
name: Selective Barriers to Horizontal Gene Transfer
publication: eLife
publication_identifier:
issn:
- 2050084X
publication_status: published
publisher: eLife Sciences Publications
publist_id: '7244'
pubrep_id: '918'
quality_controlled: '1'
scopus_import: 1
status: public
title: Regulatory network structure determines patterns of intermolecular epistasis
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 6
year: '2017'
...
---
_id: '611'
abstract:
- lang: eng
text: Small RNAs (sRNAs) regulate genes in plants and animals. Here, we show that
population-wide differences in color patterns in snapdragon flowers are caused
by an inverted duplication that generates sRNAs. The complexity and size of the
transcripts indicate that the duplication represents an intermediate on the pathway
to microRNA evolution. The sRNAs repress a pigment biosynthesis gene, creating
a yellow highlight at the site of pollinator entry. The inverted duplication exhibits
steep clines in allele frequency in a natural hybrid zone, showing that the allele
is under selection. Thus, regulatory interactions of evolutionarily recent sRNAs
can be acted upon by selection and contribute to the evolution of phenotypic diversity.
author:
- first_name: Desmond
full_name: Bradley, Desmond
last_name: Bradley
- first_name: Ping
full_name: Xu, Ping
last_name: Xu
- first_name: Irina
full_name: Mohorianu, Irina
last_name: Mohorianu
- first_name: Annabel
full_name: Whibley, Annabel
last_name: Whibley
- first_name: David
full_name: Field, David
id: 419049E2-F248-11E8-B48F-1D18A9856A87
last_name: Field
orcid: 0000-0002-4014-8478
- first_name: Hugo
full_name: Tavares, Hugo
last_name: Tavares
- first_name: Matthew
full_name: Couchman, Matthew
last_name: Couchman
- first_name: Lucy
full_name: Copsey, Lucy
last_name: Copsey
- first_name: Rosemary
full_name: Carpenter, Rosemary
last_name: Carpenter
- first_name: Miaomiao
full_name: Li, Miaomiao
last_name: Li
- first_name: Qun
full_name: Li, Qun
last_name: Li
- first_name: Yongbiao
full_name: Xue, Yongbiao
last_name: Xue
- first_name: Tamas
full_name: Dalmay, Tamas
last_name: Dalmay
- first_name: Enrico
full_name: Coen, Enrico
last_name: Coen
citation:
ama: Bradley D, Xu P, Mohorianu I, et al. Evolution of flower color pattern through
selection on regulatory small RNAs. Science. 2017;358(6365):925-928. doi:10.1126/science.aao3526
apa: Bradley, D., Xu, P., Mohorianu, I., Whibley, A., Field, D., Tavares, H., …
Coen, E. (2017). Evolution of flower color pattern through selection on regulatory
small RNAs. Science. American Association for the Advancement of Science.
https://doi.org/10.1126/science.aao3526
chicago: Bradley, Desmond, Ping Xu, Irina Mohorianu, Annabel Whibley, David Field,
Hugo Tavares, Matthew Couchman, et al. “Evolution of Flower Color Pattern through
Selection on Regulatory Small RNAs.” Science. American Association for
the Advancement of Science, 2017. https://doi.org/10.1126/science.aao3526.
ieee: D. Bradley et al., “Evolution of flower color pattern through selection
on regulatory small RNAs,” Science, vol. 358, no. 6365. American Association
for the Advancement of Science, pp. 925–928, 2017.
ista: Bradley D, Xu P, Mohorianu I, Whibley A, Field D, Tavares H, Couchman M, Copsey
L, Carpenter R, Li M, Li Q, Xue Y, Dalmay T, Coen E. 2017. Evolution of flower
color pattern through selection on regulatory small RNAs. Science. 358(6365),
925–928.
mla: Bradley, Desmond, et al. “Evolution of Flower Color Pattern through Selection
on Regulatory Small RNAs.” Science, vol. 358, no. 6365, American Association
for the Advancement of Science, 2017, pp. 925–28, doi:10.1126/science.aao3526.
short: D. Bradley, P. Xu, I. Mohorianu, A. Whibley, D. Field, H. Tavares, M. Couchman,
L. Copsey, R. Carpenter, M. Li, Q. Li, Y. Xue, T. Dalmay, E. Coen, Science 358
(2017) 925–928.
date_created: 2018-12-11T11:47:29Z
date_published: 2017-11-17T00:00:00Z
date_updated: 2021-01-12T08:06:10Z
day: '17'
department:
- _id: NiBa
doi: 10.1126/science.aao3526
intvolume: ' 358'
issue: '6365'
language:
- iso: eng
month: '11'
oa_version: None
page: 925 - 928
publication: Science
publication_identifier:
issn:
- '00368075'
publication_status: published
publisher: American Association for the Advancement of Science
publist_id: '7193'
quality_controlled: '1'
scopus_import: 1
status: public
title: Evolution of flower color pattern through selection on regulatory small RNAs
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 358
year: '2017'
...
---
_id: '626'
abstract:
- lang: eng
text: 'Our focus here is on the infinitesimal model. In this model, one or several
quantitative traits are described as the sum of a genetic and a non-genetic component,
the first being distributed within families as a normal random variable centred
at the average of the parental genetic components, and with a variance independent
of the parental traits. Thus, the variance that segregates within families is
not perturbed by selection, and can be predicted from the variance components.
This does not necessarily imply that the trait distribution across the whole population
should be Gaussian, and indeed selection or population structure may have a substantial
effect on the overall trait distribution. One of our main aims is to identify
some general conditions on the allelic effects for the infinitesimal model to
be accurate. We first review the long history of the infinitesimal model in quantitative
genetics. Then we formulate the model at the phenotypic level in terms of individual
trait values and relationships between individuals, but including different evolutionary
processes: genetic drift, recombination, selection, mutation, population structure,
…. We give a range of examples of its application to evolutionary questions related
to stabilising selection, assortative mating, effective population size and response
to selection, habitat preference and speciation. We provide a mathematical justification
of the model as the limit as the number M of underlying loci tends to infinity
of a model with Mendelian inheritance, mutation and environmental noise, when
the genetic component of the trait is purely additive. We also show how the model
generalises to include epistatic effects. We prove in particular that, within
each family, the genetic components of the individual trait values in the current
generation are indeed normally distributed with a variance independent of ancestral
traits, up to an error of order 1∕M. Simulations suggest that in some cases the
convergence may be as fast as 1∕M.'
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
- first_name: Amandine
full_name: Véber, Amandine
last_name: Véber
citation:
ama: 'Barton NH, Etheridge A, Véber A. The infinitesimal model: Definition derivation
and implications. Theoretical Population Biology. 2017;118:50-73. doi:10.1016/j.tpb.2017.06.001'
apa: 'Barton, N. H., Etheridge, A., & Véber, A. (2017). The infinitesimal model:
Definition derivation and implications. Theoretical Population Biology.
Academic Press. https://doi.org/10.1016/j.tpb.2017.06.001'
chicago: 'Barton, Nicholas H, Alison Etheridge, and Amandine Véber. “The Infinitesimal
Model: Definition Derivation and Implications.” Theoretical Population Biology.
Academic Press, 2017. https://doi.org/10.1016/j.tpb.2017.06.001.'
ieee: 'N. H. Barton, A. Etheridge, and A. Véber, “The infinitesimal model: Definition
derivation and implications,” Theoretical Population Biology, vol. 118.
Academic Press, pp. 50–73, 2017.'
ista: 'Barton NH, Etheridge A, Véber A. 2017. The infinitesimal model: Definition
derivation and implications. Theoretical Population Biology. 118, 50–73.'
mla: 'Barton, Nicholas H., et al. “The Infinitesimal Model: Definition Derivation
and Implications.” Theoretical Population Biology, vol. 118, Academic Press,
2017, pp. 50–73, doi:10.1016/j.tpb.2017.06.001.'
short: N.H. Barton, A. Etheridge, A. Véber, Theoretical Population Biology 118 (2017)
50–73.
date_created: 2018-12-11T11:47:34Z
date_published: 2017-12-01T00:00:00Z
date_updated: 2021-01-12T08:06:50Z
day: '01'
ddc:
- '576'
department:
- _id: NiBa
doi: 10.1016/j.tpb.2017.06.001
ec_funded: 1
file:
- access_level: open_access
checksum: 7dd02bfcfe8f244f4a6c19091aedf2c8
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:12:45Z
date_updated: 2020-07-14T12:47:25Z
file_id: '4964'
file_name: IST-2017-908-v1+1_1-s2.0-S0040580917300886-main_1_.pdf
file_size: 1133924
relation: main_file
file_date_updated: 2020-07-14T12:47:25Z
has_accepted_license: '1'
intvolume: ' 118'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
page: 50 - 73
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_identifier:
issn:
- '00405809'
publication_status: published
publisher: Academic Press
publist_id: '7169'
pubrep_id: '908'
quality_controlled: '1'
scopus_import: 1
status: public
title: 'The infinitesimal model: Definition derivation and implications'
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: 118
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:
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status: public
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title: Modelling and simulation details
type: research_data_reference
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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'
...