Incorporating non-equilibrium dynamics into demographic history inferences of a migratory marine species
ELC was supported while writing this paper by a EU Horizon 2020 Marie Slodowska Curie Fellowship, project BEHAVIOUR-CONNECT, by a Newton Fellowship from the Royal Society of London and Bayesian statistical training was supported by National Science Foundation (award DEB- 1145200). Laboratory analyse...
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Online Access: | https://hdl.handle.net/10023/16390 https://doi.org/10.1038/s41437-018-0077-y |
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ftstandrewserep:oai:research-repository.st-andrews.ac.uk:10023/16390 2024-05-19T07:49:01+00:00 Incorporating non-equilibrium dynamics into demographic history inferences of a migratory marine species Carroll, Emma L. Alderman, R Bannister, J L Bérube, Martine Best, P B Boren, L Baker, C S Constantine, R. Findlay, K Harcourt, R Lemaire, L Palsbøll, P. J. Patenaude, N J Rowntree, V J Seger, J Steel, D Valenzuela, L O Watson, M Gaggiotti, O. E. European Commission The Royal Society University of St Andrews. School of Biology University of St Andrews. Marine Alliance for Science & Technology Scotland University of St Andrews. Scottish Oceans Institute University of St Andrews. Sea Mammal Research Unit 2018-11-03 4120835 application/pdf https://hdl.handle.net/10023/16390 https://doi.org/10.1038/s41437-018-0077-y eng eng Heredity 252589327 404550bd-874e-49f9-8218-eb7a1ed25066 85046349491 000452620900005 Carroll , E L , Alderman , R , Bannister , J L , Bérube , M , Best , P B , Boren , L , Baker , C S , Constantine , R , Findlay , K , Harcourt , R , Lemaire , L , Palsbøll , P J , Patenaude , N J , Rowntree , V J , Seger , J , Steel , D , Valenzuela , L O , Watson , M & Gaggiotti , O E 2019 , ' Incorporating non-equilibrium dynamics into demographic history inferences of a migratory marine species ' , Heredity , vol. 122 , no. 1 , pp. 53-68 . https://doi.org/10.1038/s41437-018-0077-y 0018-067X ORCID: /0000-0003-1827-1493/work/61370106 https://hdl.handle.net/10023/16390 doi:10.1038/s41437-018-0077-y 656774 Southern right whale Approximate Bayesian computation Historical demography Connectivity Last glacial maximum Non-equilibrium population genetics Eubalaena australis Cicumpolar SRW connectivity over time GC Oceanography QH426 Genetics QH301 Biology DAS SDG 14 - Life Below Water GC QH426 QH301 Journal article 2018 ftstandrewserep https://doi.org/10.1038/s41437-018-0077-y 2024-04-30T23:32:55Z ELC was supported while writing this paper by a EU Horizon 2020 Marie Slodowska Curie Fellowship, project BEHAVIOUR-CONNECT, by a Newton Fellowship from the Royal Society of London and Bayesian statistical training was supported by National Science Foundation (award DEB- 1145200). Laboratory analyses conducted by ELC were funded by a small grant from the British Ecological Society 5076 / 6118 and Bayesian analysis was supported by training from the National Science Foundation under Grant No. DEB-1145200. OEG was supported by the Marine Alliance for Science and Technology for Scotland (MASTS) funded by the Scottish Founding Council (grant reference HR09011). Genetic data from the South African right whale samples were generated by MB and PJP with the support of UC Berkeley, University of Stockholm and University of Groningen. Computational Biology analyses were supported by the University of St Andrews Bioinformatics Unit which is funded by a Wellcome Trust ISSF award. Understanding how dispersal and gene flow link geographically separated populations over evolutionary history is challenging, particularly in migratory marine species. In southern right whales (SRWs, Eubalaena australis), patterns of genetic diversity are likely influenced by the glacial climate cycle and recent history of whaling. Here we use a dataset of mitochondrial DNA (mtDNA) sequences (n=1,327) and nuclear markers (17 microsatellite loci, n=222) from major wintering grounds to investigate circumpolar population structure, historical demography, and effective population size. Analyses of nuclear genetic variation identify two population clusters that correspond to the South Atlantic and Indo-Pacific ocean basins that have similar effective breeder estimates. In contrast, all wintering grounds show significant differentiation for mtDNA, but no sex-biased dispersal was detected using the microsatellite genotypes. An approximate Bayesian computation (ABC) approach with microsatellite markers compared scenarios with gene flow through time, or ... Article in Journal/Newspaper Southern Right Whale University of St Andrews: Digital Research Repository Heredity 122 1 53 68 |
institution |
Open Polar |
collection |
University of St Andrews: Digital Research Repository |
op_collection_id |
ftstandrewserep |
language |
English |
topic |
Southern right whale Approximate Bayesian computation Historical demography Connectivity Last glacial maximum Non-equilibrium population genetics Eubalaena australis Cicumpolar SRW connectivity over time GC Oceanography QH426 Genetics QH301 Biology DAS SDG 14 - Life Below Water GC QH426 QH301 |
spellingShingle |
Southern right whale Approximate Bayesian computation Historical demography Connectivity Last glacial maximum Non-equilibrium population genetics Eubalaena australis Cicumpolar SRW connectivity over time GC Oceanography QH426 Genetics QH301 Biology DAS SDG 14 - Life Below Water GC QH426 QH301 Carroll, Emma L. Alderman, R Bannister, J L Bérube, Martine Best, P B Boren, L Baker, C S Constantine, R. Findlay, K Harcourt, R Lemaire, L Palsbøll, P. J. Patenaude, N J Rowntree, V J Seger, J Steel, D Valenzuela, L O Watson, M Gaggiotti, O. E. Incorporating non-equilibrium dynamics into demographic history inferences of a migratory marine species |
topic_facet |
Southern right whale Approximate Bayesian computation Historical demography Connectivity Last glacial maximum Non-equilibrium population genetics Eubalaena australis Cicumpolar SRW connectivity over time GC Oceanography QH426 Genetics QH301 Biology DAS SDG 14 - Life Below Water GC QH426 QH301 |
description |
ELC was supported while writing this paper by a EU Horizon 2020 Marie Slodowska Curie Fellowship, project BEHAVIOUR-CONNECT, by a Newton Fellowship from the Royal Society of London and Bayesian statistical training was supported by National Science Foundation (award DEB- 1145200). Laboratory analyses conducted by ELC were funded by a small grant from the British Ecological Society 5076 / 6118 and Bayesian analysis was supported by training from the National Science Foundation under Grant No. DEB-1145200. OEG was supported by the Marine Alliance for Science and Technology for Scotland (MASTS) funded by the Scottish Founding Council (grant reference HR09011). Genetic data from the South African right whale samples were generated by MB and PJP with the support of UC Berkeley, University of Stockholm and University of Groningen. Computational Biology analyses were supported by the University of St Andrews Bioinformatics Unit which is funded by a Wellcome Trust ISSF award. Understanding how dispersal and gene flow link geographically separated populations over evolutionary history is challenging, particularly in migratory marine species. In southern right whales (SRWs, Eubalaena australis), patterns of genetic diversity are likely influenced by the glacial climate cycle and recent history of whaling. Here we use a dataset of mitochondrial DNA (mtDNA) sequences (n=1,327) and nuclear markers (17 microsatellite loci, n=222) from major wintering grounds to investigate circumpolar population structure, historical demography, and effective population size. Analyses of nuclear genetic variation identify two population clusters that correspond to the South Atlantic and Indo-Pacific ocean basins that have similar effective breeder estimates. In contrast, all wintering grounds show significant differentiation for mtDNA, but no sex-biased dispersal was detected using the microsatellite genotypes. An approximate Bayesian computation (ABC) approach with microsatellite markers compared scenarios with gene flow through time, or ... |
author2 |
European Commission The Royal Society University of St Andrews. School of Biology University of St Andrews. Marine Alliance for Science & Technology Scotland University of St Andrews. Scottish Oceans Institute University of St Andrews. Sea Mammal Research Unit |
format |
Article in Journal/Newspaper |
author |
Carroll, Emma L. Alderman, R Bannister, J L Bérube, Martine Best, P B Boren, L Baker, C S Constantine, R. Findlay, K Harcourt, R Lemaire, L Palsbøll, P. J. Patenaude, N J Rowntree, V J Seger, J Steel, D Valenzuela, L O Watson, M Gaggiotti, O. E. |
author_facet |
Carroll, Emma L. Alderman, R Bannister, J L Bérube, Martine Best, P B Boren, L Baker, C S Constantine, R. Findlay, K Harcourt, R Lemaire, L Palsbøll, P. J. Patenaude, N J Rowntree, V J Seger, J Steel, D Valenzuela, L O Watson, M Gaggiotti, O. E. |
author_sort |
Carroll, Emma L. |
title |
Incorporating non-equilibrium dynamics into demographic history inferences of a migratory marine species |
title_short |
Incorporating non-equilibrium dynamics into demographic history inferences of a migratory marine species |
title_full |
Incorporating non-equilibrium dynamics into demographic history inferences of a migratory marine species |
title_fullStr |
Incorporating non-equilibrium dynamics into demographic history inferences of a migratory marine species |
title_full_unstemmed |
Incorporating non-equilibrium dynamics into demographic history inferences of a migratory marine species |
title_sort |
incorporating non-equilibrium dynamics into demographic history inferences of a migratory marine species |
publishDate |
2018 |
url |
https://hdl.handle.net/10023/16390 https://doi.org/10.1038/s41437-018-0077-y |
genre |
Southern Right Whale |
genre_facet |
Southern Right Whale |
op_relation |
Heredity 252589327 404550bd-874e-49f9-8218-eb7a1ed25066 85046349491 000452620900005 Carroll , E L , Alderman , R , Bannister , J L , Bérube , M , Best , P B , Boren , L , Baker , C S , Constantine , R , Findlay , K , Harcourt , R , Lemaire , L , Palsbøll , P J , Patenaude , N J , Rowntree , V J , Seger , J , Steel , D , Valenzuela , L O , Watson , M & Gaggiotti , O E 2019 , ' Incorporating non-equilibrium dynamics into demographic history inferences of a migratory marine species ' , Heredity , vol. 122 , no. 1 , pp. 53-68 . https://doi.org/10.1038/s41437-018-0077-y 0018-067X ORCID: /0000-0003-1827-1493/work/61370106 https://hdl.handle.net/10023/16390 doi:10.1038/s41437-018-0077-y 656774 |
op_doi |
https://doi.org/10.1038/s41437-018-0077-y |
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122 |
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1 |
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53 |
op_container_end_page |
68 |
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1799467443235586048 |