Sex matters in massive parallel sequencing: Evidence for biases in genetic parameter estimation and investigation of sex determination systems

Abstract Using massively parallel sequencing data from two species with different life history traits, American lobster ( Homarus americanus ) and Arctic Char ( Salvelinus alpinus ), we highlight how an unbalanced sex ratio in the samples and a few sex‐linked markers may lead to false interpretation...

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Published in:Molecular Ecology
Main Authors: Benestan, Laura, Moore, Jean‐Sébastien, Sutherland, Ben J. G., Le Luyer, Jérémy, Maaroufi, Halim, Rougeux, Clément, Normandeau, Eric, Rycroft, Nathan, Atema, Jelle, Harris, Les N., Tallman, Ross F., Greenwood, Spencer J., Clark, Fraser K., Bernatchez, Louis
Other Authors: Natural Sciences and Engineering Research Council of Canada, Fisheries and Oceans Canada, Nunavut Wildlife Management Board, P.E.I. Atlantic Shrimp Corporation Inc., Atlantic Lobster Sustainability Measures Program
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2017
Subjects:
Online Access:http://dx.doi.org/10.1111/mec.14217
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fmec.14217
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spelling crwiley:10.1111/mec.14217 2024-09-09T19:20:29+00:00 Sex matters in massive parallel sequencing: Evidence for biases in genetic parameter estimation and investigation of sex determination systems Benestan, Laura Moore, Jean‐Sébastien Sutherland, Ben J. G. Le Luyer, Jérémy Maaroufi, Halim Rougeux, Clément Normandeau, Eric Rycroft, Nathan Atema, Jelle Harris, Les N. Tallman, Ross F. Greenwood, Spencer J. Clark, Fraser K. Bernatchez, Louis Natural Sciences and Engineering Research Council of Canada Fisheries and Oceans Canada Natural Sciences and Engineering Research Council of Canada Fisheries and Oceans Canada Nunavut Wildlife Management Board P.E.I. Atlantic Shrimp Corporation Inc. Atlantic Lobster Sustainability Measures Program 2017 http://dx.doi.org/10.1111/mec.14217 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fmec.14217 https://onlinelibrary.wiley.com/doi/pdf/10.1111/mec.14217 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor http://doi.wiley.com/10.1002/tdm_license_1.1 http://onlinelibrary.wiley.com/termsAndConditions#vor Molecular Ecology volume 26, issue 24, page 6767-6783 ISSN 0962-1083 1365-294X journal-article 2017 crwiley https://doi.org/10.1111/mec.14217 2024-08-22T04:17:39Z Abstract Using massively parallel sequencing data from two species with different life history traits, American lobster ( Homarus americanus ) and Arctic Char ( Salvelinus alpinus ), we highlight how an unbalanced sex ratio in the samples and a few sex‐linked markers may lead to false interpretations of population structure and thus to potentially erroneous management recommendations. Here, multivariate analyses revealed two genetic clusters separating samples by sex instead of by expected spatial variation: inshore and offshore locations in lobster, or east and west locations in Arctic Char. To further investigate this, we created several subsamples artificially varying the sex ratio in the inshore/offshore and east/west groups and then demonstrated that significant genetic differentiation could be observed despite panmixia in lobster, and that F ST values were overestimated in Arctic Char. This pattern was due to 12 and 94 sex‐linked markers driving differentiation for lobster and Arctic Char, respectively. Removing sex‐linked markers led to nonsignificant genetic structure in lobster and a more accurate estimation of F ST in Arctic Char. The locations of these markers and putative identities of genes containing or nearby the markers were determined using available transcriptomic and genomic data, and this provided new information related to sex determination in both species. Given that only 9.6% of all marine/diadromous population genomic studies to date have reported sex information, we urge researchers to collect and consider individual sex information. Sex information is therefore relevant for avoiding unexpected biases due to sex‐linked markers as well as for improving our knowledge of sex determination systems in nonmodel species. Article in Journal/Newspaper Arctic Salvelinus alpinus Wiley Online Library Arctic Molecular Ecology 26 24 6767 6783
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description Abstract Using massively parallel sequencing data from two species with different life history traits, American lobster ( Homarus americanus ) and Arctic Char ( Salvelinus alpinus ), we highlight how an unbalanced sex ratio in the samples and a few sex‐linked markers may lead to false interpretations of population structure and thus to potentially erroneous management recommendations. Here, multivariate analyses revealed two genetic clusters separating samples by sex instead of by expected spatial variation: inshore and offshore locations in lobster, or east and west locations in Arctic Char. To further investigate this, we created several subsamples artificially varying the sex ratio in the inshore/offshore and east/west groups and then demonstrated that significant genetic differentiation could be observed despite panmixia in lobster, and that F ST values were overestimated in Arctic Char. This pattern was due to 12 and 94 sex‐linked markers driving differentiation for lobster and Arctic Char, respectively. Removing sex‐linked markers led to nonsignificant genetic structure in lobster and a more accurate estimation of F ST in Arctic Char. The locations of these markers and putative identities of genes containing or nearby the markers were determined using available transcriptomic and genomic data, and this provided new information related to sex determination in both species. Given that only 9.6% of all marine/diadromous population genomic studies to date have reported sex information, we urge researchers to collect and consider individual sex information. Sex information is therefore relevant for avoiding unexpected biases due to sex‐linked markers as well as for improving our knowledge of sex determination systems in nonmodel species.
author2 Natural Sciences and Engineering Research Council of Canada
Fisheries and Oceans Canada
Natural Sciences and Engineering Research Council of Canada
Fisheries and Oceans Canada
Nunavut Wildlife Management Board
P.E.I. Atlantic Shrimp Corporation Inc.
Atlantic Lobster Sustainability Measures Program
format Article in Journal/Newspaper
author Benestan, Laura
Moore, Jean‐Sébastien
Sutherland, Ben J. G.
Le Luyer, Jérémy
Maaroufi, Halim
Rougeux, Clément
Normandeau, Eric
Rycroft, Nathan
Atema, Jelle
Harris, Les N.
Tallman, Ross F.
Greenwood, Spencer J.
Clark, Fraser K.
Bernatchez, Louis
spellingShingle Benestan, Laura
Moore, Jean‐Sébastien
Sutherland, Ben J. G.
Le Luyer, Jérémy
Maaroufi, Halim
Rougeux, Clément
Normandeau, Eric
Rycroft, Nathan
Atema, Jelle
Harris, Les N.
Tallman, Ross F.
Greenwood, Spencer J.
Clark, Fraser K.
Bernatchez, Louis
Sex matters in massive parallel sequencing: Evidence for biases in genetic parameter estimation and investigation of sex determination systems
author_facet Benestan, Laura
Moore, Jean‐Sébastien
Sutherland, Ben J. G.
Le Luyer, Jérémy
Maaroufi, Halim
Rougeux, Clément
Normandeau, Eric
Rycroft, Nathan
Atema, Jelle
Harris, Les N.
Tallman, Ross F.
Greenwood, Spencer J.
Clark, Fraser K.
Bernatchez, Louis
author_sort Benestan, Laura
title Sex matters in massive parallel sequencing: Evidence for biases in genetic parameter estimation and investigation of sex determination systems
title_short Sex matters in massive parallel sequencing: Evidence for biases in genetic parameter estimation and investigation of sex determination systems
title_full Sex matters in massive parallel sequencing: Evidence for biases in genetic parameter estimation and investigation of sex determination systems
title_fullStr Sex matters in massive parallel sequencing: Evidence for biases in genetic parameter estimation and investigation of sex determination systems
title_full_unstemmed Sex matters in massive parallel sequencing: Evidence for biases in genetic parameter estimation and investigation of sex determination systems
title_sort sex matters in massive parallel sequencing: evidence for biases in genetic parameter estimation and investigation of sex determination systems
publisher Wiley
publishDate 2017
url http://dx.doi.org/10.1111/mec.14217
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fmec.14217
https://onlinelibrary.wiley.com/doi/pdf/10.1111/mec.14217
geographic Arctic
geographic_facet Arctic
genre Arctic
Salvelinus alpinus
genre_facet Arctic
Salvelinus alpinus
op_source Molecular Ecology
volume 26, issue 24, page 6767-6783
ISSN 0962-1083 1365-294X
op_rights http://onlinelibrary.wiley.com/termsAndConditions#vor
http://doi.wiley.com/10.1002/tdm_license_1.1
http://onlinelibrary.wiley.com/termsAndConditions#vor
op_doi https://doi.org/10.1111/mec.14217
container_title Molecular Ecology
container_volume 26
container_issue 24
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