---
_id: '8928'
abstract:
- lang: eng
text: Domestication is a human‐induced selection process that imprints the genomes
of domesticated populations over a short evolutionary time scale and that occurs
in a given demographic context. Reconstructing historical gene flow, effective
population size changes and their timing is therefore of fundamental interest
to understand how plant demography and human selection jointly shape genomic divergence
during domestication. Yet, the comparison under a single statistical framework
of independent domestication histories across different crop species has been
little evaluated so far. Thus, it is unclear whether domestication leads to convergent
demographic changes that similarly affect crop genomes. To address this question,
we used existing and new transcriptome data on three crop species of Solanaceae
(eggplant, pepper and tomato), together with their close wild relatives. We fitted
twelve demographic models of increasing complexity on the unfolded joint allele
frequency spectrum for each wild/crop pair, and we found evidence for both shared
and species‐specific demographic processes between species. A convergent history
of domestication with gene flow was inferred for all three species, along with
evidence of strong reduction in the effective population size during the cultivation
stage of tomato and pepper. The absence of any reduction in size of the crop in
eggplant stands out from the classical view of the domestication process; as does
the existence of a “protracted period” of management before cultivation. Our results
also suggest divergent management strategies of modern cultivars among species
as their current demography substantially differs. Finally, the timing of domestication
is species‐specific and supported by the few historical records available.
acknowledgement: This work was supported by the EU Marie Curie Career Integration
grant (FP7‐PEOPLE‐2011‐CIG grant agreement PCIG10‐GA‐2011‐304164) attributed to
CS. SA was supported by a PhD fellowship from the French Région PACA and the Plant
Breeding division of INRA, in partnership with Gautier Semences. CF was supported
by an Austrian Science Foundation FWF grant (Project M 2463‐B29). Authors thank
Mathilde Causse and Beatriz Vicoso for their team leading. Thanks to the Italian
Eggplant Genome Consortium, which includes the DISAFA, Plant Genetics and Breeding
(University of Torino), the Biotechnology Department (University of Verona), the
CREA‐ORL in Montanaso Lombardo (LO) and the ENEA in Rome for providing access to
the eggplant genome reference. Thanks to CRB‐lég ( https://www6.paca.inra.fr/gafl_eng/Vegetables-GRC
) for managing and providing the genetic resources, to Marie‐Christine Daunay and
Alain Palloix (INRA UR1052) for assistance in choosing the biological material used,
to Muriel Latreille and Sylvain Santoni from the UMR AGAP (INRA Montpellier, France)
for their help with RNAseq library preparation, to Jean‐Paul Bouchet and Jacques
Lagnel (INRA UR1052) for their Bioinformatics assistance.
article_processing_charge: No
article_type: original
author:
- first_name: Stéphanie
full_name: Arnoux, Stéphanie
last_name: Arnoux
- first_name: Christelle
full_name: Fraisse, Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
orcid: 0000-0001-8441-5075
- first_name: Christopher
full_name: Sauvage, Christopher
last_name: Sauvage
citation:
ama: Arnoux S, Fraisse C, Sauvage C. Genomic inference of complex domestication
histories in three Solanaceae species. Journal of Evolutionary Biology.
2021;34(2):270-283. doi:10.1111/jeb.13723
apa: Arnoux, S., Fraisse, C., & Sauvage, C. (2021). Genomic inference of complex
domestication histories in three Solanaceae species. Journal of Evolutionary
Biology. Wiley. https://doi.org/10.1111/jeb.13723
chicago: Arnoux, Stéphanie, Christelle Fraisse, and Christopher Sauvage. “Genomic
Inference of Complex Domestication Histories in Three Solanaceae Species.” Journal
of Evolutionary Biology. Wiley, 2021. https://doi.org/10.1111/jeb.13723.
ieee: S. Arnoux, C. Fraisse, and C. Sauvage, “Genomic inference of complex domestication
histories in three Solanaceae species,” Journal of Evolutionary Biology,
vol. 34, no. 2. Wiley, pp. 270–283, 2021.
ista: Arnoux S, Fraisse C, Sauvage C. 2021. Genomic inference of complex domestication
histories in three Solanaceae species. Journal of Evolutionary Biology. 34(2),
270–283.
mla: Arnoux, Stéphanie, et al. “Genomic Inference of Complex Domestication Histories
in Three Solanaceae Species.” Journal of Evolutionary Biology, vol. 34,
no. 2, Wiley, 2021, pp. 270–83, doi:10.1111/jeb.13723.
short: S. Arnoux, C. Fraisse, C. Sauvage, Journal of Evolutionary Biology 34 (2021)
270–283.
date_created: 2020-12-06T23:01:16Z
date_published: 2021-02-01T00:00:00Z
date_updated: 2023-08-04T11:19:26Z
day: '01'
department:
- _id: NiBa
doi: 10.1111/jeb.13723
external_id:
isi:
- '000587769700001'
pmid:
- '33107098'
intvolume: ' 34'
isi: 1
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1111/jeb.13723
month: '02'
oa: 1
oa_version: Published Version
page: 270-283
pmid: 1
project:
- _id: 2662AADE-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: M02463
name: Sex chromosomes and species barriers
publication: Journal of Evolutionary Biology
publication_identifier:
eissn:
- '14209101'
issn:
- 1010061X
publication_status: published
publisher: Wiley
quality_controlled: '1'
related_material:
record:
- id: '13065'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Genomic inference of complex domestication histories in three Solanaceae species
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 34
year: '2021'
...
---
_id: '9100'
abstract:
- lang: eng
text: 'Marine environments are inhabited by a broad representation of the tree of
life, yet our understanding of speciation in marine ecosystems is extremely limited
compared with terrestrial and freshwater environments. Developing a more comprehensive
picture of speciation in marine environments requires that we ''dive under the
surface'' by studying a wider range of taxa and ecosystems is necessary for a
more comprehensive picture of speciation. Although studying marine evolutionary
processes is often challenging, recent technological advances in different fields,
from maritime engineering to genomics, are making it increasingly possible to
study speciation of marine life forms across diverse ecosystems and taxa. Motivated
by recent research in the field, including the 14 contributions in this issue,
we highlight and discuss six axes of research that we think will deepen our understanding
of speciation in the marine realm: (a) study a broader range of marine environments
and organisms; (b) identify the reproductive barriers driving speciation between
marine taxa; (c) understand the role of different genomic architectures underlying
reproductive isolation; (d) infer the evolutionary history of divergence using
model‐based approaches; (e) study patterns of hybridization and introgression
between marine taxa; and (f) implement highly interdisciplinary, collaborative
research programmes. In outlining these goals, we hope to inspire researchers
to continue filling this critical knowledge gap surrounding the origins of marine
biodiversity.'
acknowledgement: "We would like to thank all the participants in the speciation symposium
of the Marine Evolution Conference in Sweden for the interesting discussions and
to all the contributors to this special\r\nissue. We thank Nicolas Bierne and Wolf
Blanckenhorn (reviewer and editor, respectively) for valuable suggestions during
the revision of the manuscript, and Roger K. Butlin and Anja M. Westram for very
helpful comments on a previous draft. We would also like to thank Wolf Blanckenhorn
and Nicola Cook, the Editor in Chief and the Managing Editor of the Journal of Evolutionary
Biology, respectively, for the encouragement and support in putting together this
special issue, and to all reviewers involved. RF was financed by the European Union's
Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie
Grant Agreement Number 706376 and is currently financed by the FEDER Funds through
the Operational Competitiveness Factors Program COMPETE and by National Funds through
the Foundation for Science and Technology (FCT) within the scope of the project
‘Hybrabbid' (PTDC/BIA-EVL/30628/2017-POCI-01-0145-FEDER-030628). KJ was funded by
the Swedish\r\nResearch Council, VR. SS was supported by NERC and ERC funding awarded
to Roger K. Butlin."
article_processing_charge: No
article_type: original
author:
- first_name: Rui
full_name: Faria, Rui
last_name: Faria
- first_name: Kerstin
full_name: Johannesson, Kerstin
last_name: Johannesson
- first_name: Sean
full_name: Stankowski, Sean
id: 43161670-5719-11EA-8025-FABC3DDC885E
last_name: Stankowski
citation:
ama: 'Faria R, Johannesson K, Stankowski S. Speciation in marine environments: Diving
under the surface. Journal of Evolutionary Biology. 2021;34(1):4-15. doi:10.1111/jeb.13756'
apa: 'Faria, R., Johannesson, K., & Stankowski, S. (2021). Speciation in marine
environments: Diving under the surface. Journal of Evolutionary Biology.
Wiley. https://doi.org/10.1111/jeb.13756'
chicago: 'Faria, Rui, Kerstin Johannesson, and Sean Stankowski. “Speciation in Marine
Environments: Diving under the Surface.” Journal of Evolutionary Biology.
Wiley, 2021. https://doi.org/10.1111/jeb.13756.'
ieee: 'R. Faria, K. Johannesson, and S. Stankowski, “Speciation in marine environments:
Diving under the surface,” Journal of Evolutionary Biology, vol. 34, no.
1. Wiley, pp. 4–15, 2021.'
ista: 'Faria R, Johannesson K, Stankowski S. 2021. Speciation in marine environments:
Diving under the surface. Journal of Evolutionary Biology. 34(1), 4–15.'
mla: 'Faria, Rui, et al. “Speciation in Marine Environments: Diving under the Surface.”
Journal of Evolutionary Biology, vol. 34, no. 1, Wiley, 2021, pp. 4–15,
doi:10.1111/jeb.13756.'
short: R. Faria, K. Johannesson, S. Stankowski, Journal of Evolutionary Biology
34 (2021) 4–15.
date_created: 2021-02-07T23:01:13Z
date_published: 2021-01-18T00:00:00Z
date_updated: 2023-08-07T13:42:08Z
day: '18'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1111/jeb.13756
external_id:
isi:
- '000608367500001'
file:
- access_level: open_access
checksum: 5755856a5368d4b4cdd6fad5ab27f4d1
content_type: application/pdf
creator: dernst
date_created: 2021-02-09T09:04:02Z
date_updated: 2021-02-09T09:04:02Z
file_id: '9108'
file_name: 2021_JourEvolBiology_Faria.pdf
file_size: 561340
relation: main_file
success: 1
file_date_updated: 2021-02-09T09:04:02Z
has_accepted_license: '1'
intvolume: ' 34'
isi: 1
issue: '1'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '01'
oa: 1
oa_version: Published Version
page: 4-15
publication: Journal of Evolutionary Biology
publication_identifier:
eissn:
- '14209101'
issn:
- 1010061X
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Speciation in marine environments: Diving under the surface'
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: 34
year: '2021'
...
---
_id: '9168'
abstract:
- lang: eng
text: Interspecific crossing experiments have shown that sex chromosomes play a
major role in reproductive isolation between many pairs of species. However, their
ability to act as reproductive barriers, which hamper interspecific genetic exchange,
has rarely been evaluated quantitatively compared to Autosomes. This genome-wide
limitation of gene flow is essential for understanding the complete separation
of species, and thus speciation. Here, we develop a mainland-island model of secondary
contact between hybridizing species of an XY (or ZW) sexual system. We obtain
theoretical predictions for the frequency of introgressed alleles, and the strength
of the barrier to neutral gene flow for the two types of chromosomes carrying
multiple interspecific barrier loci. Theoretical predictions are obtained for
scenarios where introgressed alleles are rare. We show that the same analytical
expressions apply for sex chromosomes and autosomes, but with different sex-averaged
effective parameters. The specific features of sex chromosomes (hemizygosity and
absence of recombination in the heterogametic sex) lead to reduced levels of introgression
on the X (or Z) compared to autosomes. This effect can be enhanced by certain
types of sex-biased forces, but it remains overall small (except when alleles
causing incompatibilities are recessive). We discuss these predictions in the
light of empirical data comprising model-based tests of introgression and cline
surveys in various biological systems.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "The computations were performed with the IST Austria High-Performance
Computing (HPC) Cluster and the Institut Français de Bioinformatique (IFB) Core
Cluster. We are grateful to Nick Barton and Beatriz Vicoso for critical comments
on the model and the manuscript. We also thank Brian Charlesworth, Stuart Baird,
and an anonymous reviewer for insightful comments.\r\nC.F. was supported by an Austrian
Science Foundation FWF grant (Project M 2463-B29)."
article_number: iyaa025
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: Himani
full_name: Sachdeva, Himani
id: 42377A0A-F248-11E8-B48F-1D18A9856A87
last_name: Sachdeva
citation:
ama: 'Fraisse C, Sachdeva H. The rates of introgression and barriers to genetic
exchange between hybridizing species: Sex chromosomes vs autosomes. Genetics.
2021;217(2). doi:10.1093/genetics/iyaa025'
apa: 'Fraisse, C., & Sachdeva, H. (2021). The rates of introgression and barriers
to genetic exchange between hybridizing species: Sex chromosomes vs autosomes.
Genetics. Genetics Society of America. https://doi.org/10.1093/genetics/iyaa025'
chicago: 'Fraisse, Christelle, and Himani Sachdeva. “The Rates of Introgression
and Barriers to Genetic Exchange between Hybridizing Species: Sex Chromosomes
vs Autosomes.” Genetics. Genetics Society of America, 2021. https://doi.org/10.1093/genetics/iyaa025.'
ieee: 'C. Fraisse and H. Sachdeva, “The rates of introgression and barriers to genetic
exchange between hybridizing species: Sex chromosomes vs autosomes,” Genetics,
vol. 217, no. 2. Genetics Society of America, 2021.'
ista: 'Fraisse C, Sachdeva H. 2021. The rates of introgression and barriers to genetic
exchange between hybridizing species: Sex chromosomes vs autosomes. Genetics.
217(2), iyaa025.'
mla: 'Fraisse, Christelle, and Himani Sachdeva. “The Rates of Introgression and
Barriers to Genetic Exchange between Hybridizing Species: Sex Chromosomes vs Autosomes.”
Genetics, vol. 217, no. 2, iyaa025, Genetics Society of America, 2021,
doi:10.1093/genetics/iyaa025.'
short: C. Fraisse, H. Sachdeva, Genetics 217 (2021).
date_created: 2021-02-18T14:41:30Z
date_published: 2021-02-01T00:00:00Z
date_updated: 2023-08-07T13:47:01Z
day: '01'
department:
- _id: NiBa
doi: 10.1093/genetics/iyaa025
external_id:
isi:
- '000637218100005'
intvolume: ' 217'
isi: 1
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1093/genetics/iyaa025
month: '02'
oa: 1
oa_version: Published Version
project:
- _id: 2662AADE-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: M02463
name: Sex chromosomes and species barriers
publication: Genetics
publication_identifier:
issn:
- 1943-2631
publication_status: published
publisher: Genetics Society of America
quality_controlled: '1'
status: public
title: 'The rates of introgression and barriers to genetic exchange between hybridizing
species: Sex chromosomes vs autosomes'
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 217
year: '2021'
...
---
_id: '9119'
abstract:
- lang: eng
text: 'We present DILS, a deployable statistical analysis platform for conducting
demographic inferences with linked selection from population genomic data using
an Approximate Bayesian Computation framework. DILS takes as input single‐population
or two‐population data sets (multilocus fasta sequences) and performs three types
of analyses in a hierarchical manner, identifying: (a) the best demographic model
to study the importance of gene flow and population size change on the genetic
patterns of polymorphism and divergence, (b) the best genomic model to determine
whether the effective size Ne and migration rate N, m are heterogeneously distributed
along the genome (implying linked selection) and (c) loci in genomic regions most
associated with barriers to gene flow. Also available via a Web interface, an
objective of DILS is to facilitate collaborative research in speciation genomics.
Here, we show the performance and limitations of DILS by using simulations and
finally apply the method to published data on a divergence continuum composed
by 28 pairs of Mytilus mussel populations/species.'
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: Iva
full_name: Popovic, Iva
last_name: Popovic
- first_name: Clément
full_name: Mazoyer, Clément
last_name: Mazoyer
- first_name: Bruno
full_name: Spataro, Bruno
last_name: Spataro
- first_name: Stéphane
full_name: Delmotte, Stéphane
last_name: Delmotte
- first_name: Jonathan
full_name: Romiguier, Jonathan
last_name: Romiguier
- first_name: Étienne
full_name: Loire, Étienne
last_name: Loire
- first_name: Alexis
full_name: Simon, Alexis
last_name: Simon
- first_name: Nicolas
full_name: Galtier, Nicolas
last_name: Galtier
- first_name: Laurent
full_name: Duret, Laurent
last_name: Duret
- first_name: Nicolas
full_name: Bierne, Nicolas
last_name: Bierne
- first_name: Xavier
full_name: Vekemans, Xavier
last_name: Vekemans
- first_name: Camille
full_name: Roux, Camille
last_name: Roux
citation:
ama: 'Fraisse C, Popovic I, Mazoyer C, et al. DILS: Demographic inferences with
linked selection by using ABC. Molecular Ecology Resources. 2021;21:2629-2644.
doi:10.1111/1755-0998.13323'
apa: 'Fraisse, C., Popovic, I., Mazoyer, C., Spataro, B., Delmotte, S., Romiguier,
J., … Roux, C. (2021). DILS: Demographic inferences with linked selection by using
ABC. Molecular Ecology Resources. Wiley. https://doi.org/10.1111/1755-0998.13323'
chicago: 'Fraisse, Christelle, Iva Popovic, Clément Mazoyer, Bruno Spataro, Stéphane
Delmotte, Jonathan Romiguier, Étienne Loire, et al. “DILS: Demographic Inferences
with Linked Selection by Using ABC.” Molecular Ecology Resources. Wiley,
2021. https://doi.org/10.1111/1755-0998.13323.'
ieee: 'C. Fraisse et al., “DILS: Demographic inferences with linked selection
by using ABC,” Molecular Ecology Resources, vol. 21. Wiley, pp. 2629–2644,
2021.'
ista: 'Fraisse C, Popovic I, Mazoyer C, Spataro B, Delmotte S, Romiguier J, Loire
É, Simon A, Galtier N, Duret L, Bierne N, Vekemans X, Roux C. 2021. DILS: Demographic
inferences with linked selection by using ABC. Molecular Ecology Resources. 21,
2629–2644.'
mla: 'Fraisse, Christelle, et al. “DILS: Demographic Inferences with Linked Selection
by Using ABC.” Molecular Ecology Resources, vol. 21, Wiley, 2021, pp. 2629–44,
doi:10.1111/1755-0998.13323.'
short: C. Fraisse, I. Popovic, C. Mazoyer, B. Spataro, S. Delmotte, J. Romiguier,
É. Loire, A. Simon, N. Galtier, L. Duret, N. Bierne, X. Vekemans, C. Roux, Molecular
Ecology Resources 21 (2021) 2629–2644.
date_created: 2021-02-14T23:01:14Z
date_published: 2021-01-15T00:00:00Z
date_updated: 2023-08-07T13:45:18Z
day: '15'
department:
- _id: NiBa
doi: 10.1111/1755-0998.13323
external_id:
isi:
- '000614183100001'
intvolume: ' 21'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.biorxiv.org/content/10.1101/2020.06.15.151597v2
month: '01'
oa: 1
oa_version: Preprint
page: 2629-2644
publication: Molecular Ecology Resources
publication_identifier:
eissn:
- '17550998'
issn:
- 1755098X
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'DILS: Demographic inferences with linked selection by using ABC'
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 21
year: '2021'
...
---
_id: '9375'
abstract:
- lang: eng
text: Genetic variation segregates as linked sets of variants, or haplotypes. Haplotypes
and linkage are central to genetics and underpin virtually all genetic and selection
analysis. And yet, genomic data often lack haplotype information, due to constraints
in sequencing technologies. Here we present “haplotagging”, a simple, low-cost
linked-read sequencing technique that allows sequencing of hundreds of individuals
while retaining linkage information. We apply haplotagging to construct megabase-size
haplotypes for over 600 individual butterflies (Heliconius erato and H. melpomene),
which form overlapping hybrid zones across an elevational gradient in Ecuador.
Haplotagging identifies loci controlling distinctive high- and lowland wing color
patterns. Divergent haplotypes are found at the same major loci in both species,
while chromosome rearrangements show no parallelism. Remarkably, in both species
the geographic clines for the major wing pattern loci are displaced by 18 km,
leading to the rise of a novel hybrid morph in the centre of the hybrid zone.
We propose that shared warning signalling (Müllerian mimicry) may couple the cline
shifts seen in both species, and facilitate the parallel co-emergence of a novel
hybrid morph in both co-mimetic species. Our results show the power of efficient
haplotyping methods when combined with large-scale sequencing data from natural
populations.
acknowledgement: 'We thank Felicity Jones for input into experimental design, helpful
discussion and improving the manuscript. We thank the Rolian, Jiggins, Chan and
Jones Labs members for support, insightful scientific discussion and improving the
manuscript. We thank the Rolian lab members, the Animal Resource Centre staff at
the University of Calgary, and Caroline Schmid and Ann-Katrin Geysel at the Friedrich
Miescher Laboratory for animal husbandry. We thank Christa Lanz, Rebecca Schwab
and Ilja Bezrukov for assistance with high-throughput sequencing and associated
data processing; Andre Noll and the MPI Tübingen IT team for computational support.
We thank Ben Haller and Richard Durbin for helpful discussions. We thank David M.
Kingsley for thoughtful input that has greatly improved our manuscript. J.I.M. is
supported by a Research Fellowship from St. John’s College, Cambridge. A.D. was
supported by a European Research Council Consolidator Grant (No. 617279 “EvolRecombAdapt”,
P/I Felicity Jones). C.R. is supported by Discovery Grant #4181932 from the Natural
Sciences and Engineering Research Council of Canada and by the Faculty of Veterinary
Medicine at the University of Calgary. C.D.J. is supported by a BBSRC grant BB/R007500
and a European Research Council Advanced Grant (No. 339873 “SpeciationGenetics”).
M.K. and Y.F.C. are supported by the Max Planck Society and a European Research
Council Starting Grant (No. 639096 “HybridMiX”).'
article_number: e2015005118
article_processing_charge: No
article_type: original
author:
- first_name: Joana I.
full_name: Meier, Joana I.
last_name: Meier
- first_name: Patricio A.
full_name: Salazar, Patricio A.
last_name: Salazar
- first_name: Marek
full_name: Kučka, Marek
last_name: Kučka
- first_name: Robert William
full_name: Davies, Robert William
last_name: Davies
- first_name: Andreea
full_name: Dréau, Andreea
last_name: Dréau
- first_name: Ismael
full_name: Aldás, Ismael
last_name: Aldás
- first_name: Olivia Box
full_name: Power, Olivia Box
last_name: Power
- first_name: Nicola J.
full_name: Nadeau, Nicola J.
last_name: Nadeau
- first_name: Jon R.
full_name: Bridle, Jon R.
last_name: Bridle
- first_name: Campbell
full_name: Rolian, Campbell
last_name: Rolian
- 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: W. Owen
full_name: McMillan, W. Owen
last_name: McMillan
- first_name: Chris D.
full_name: Jiggins, Chris D.
last_name: Jiggins
- first_name: Yingguang Frank
full_name: Chan, Yingguang Frank
last_name: Chan
citation:
ama: Meier JI, Salazar PA, Kučka M, et al. Haplotype tagging reveals parallel formation
of hybrid races in two butterfly species. PNAS. 2021;118(25). doi:10.1073/pnas.2015005118
apa: Meier, J. I., Salazar, P. A., Kučka, M., Davies, R. W., Dréau, A., Aldás, I.,
… Chan, Y. F. (2021). Haplotype tagging reveals parallel formation of hybrid races
in two butterfly species. PNAS. Proceedings of the National Academy of
Sciences. https://doi.org/10.1073/pnas.2015005118
chicago: Meier, Joana I., Patricio A. Salazar, Marek Kučka, Robert William Davies,
Andreea Dréau, Ismael Aldás, Olivia Box Power, et al. “Haplotype Tagging Reveals
Parallel Formation of Hybrid Races in Two Butterfly Species.” PNAS. Proceedings
of the National Academy of Sciences, 2021. https://doi.org/10.1073/pnas.2015005118.
ieee: J. I. Meier et al., “Haplotype tagging reveals parallel formation of
hybrid races in two butterfly species,” PNAS, vol. 118, no. 25. Proceedings
of the National Academy of Sciences, 2021.
ista: Meier JI, Salazar PA, Kučka M, Davies RW, Dréau A, Aldás I, Power OB, Nadeau
NJ, Bridle JR, Rolian C, Barton NH, McMillan WO, Jiggins CD, Chan YF. 2021. Haplotype
tagging reveals parallel formation of hybrid races in two butterfly species. PNAS.
118(25), e2015005118.
mla: Meier, Joana I., et al. “Haplotype Tagging Reveals Parallel Formation of Hybrid
Races in Two Butterfly Species.” PNAS, vol. 118, no. 25, e2015005118, Proceedings
of the National Academy of Sciences, 2021, doi:10.1073/pnas.2015005118.
short: J.I. Meier, P.A. Salazar, M. Kučka, R.W. Davies, A. Dréau, I. Aldás, O.B.
Power, N.J. Nadeau, J.R. Bridle, C. Rolian, N.H. Barton, W.O. McMillan, C.D. Jiggins,
Y.F. Chan, PNAS 118 (2021).
date_created: 2021-05-07T17:10:21Z
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