Crossing design shapes patterns of genetic variation in synthetic recombinant populations of Saccharomyces cerevisiae

Abstract “Synthetic recombinant” populations have emerged as a useful tool for dissecting the genetics of complex traits. They can be used to derive inbred lines for fine QTL mapping, or the populations themselves can be sampled for experimental evolution. In the latter application, investigators ge...

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Autores principales: Mark A. Phillips, Ian C. Kutch, Kaitlin M. McHugh, Savannah K. Taggard, Molly K. Burke
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/03cb9a05b2334b999389ec7e8084328a
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spelling oai:doaj.org-article:03cb9a05b2334b999389ec7e8084328a2021-12-02T17:37:40ZCrossing design shapes patterns of genetic variation in synthetic recombinant populations of Saccharomyces cerevisiae10.1038/s41598-021-99026-02045-2322https://doaj.org/article/03cb9a05b2334b999389ec7e8084328a2021-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-99026-0https://doaj.org/toc/2045-2322Abstract “Synthetic recombinant” populations have emerged as a useful tool for dissecting the genetics of complex traits. They can be used to derive inbred lines for fine QTL mapping, or the populations themselves can be sampled for experimental evolution. In the latter application, investigators generally value maximizing genetic variation in constructed populations. This is because in evolution experiments initiated from such populations, adaptation is primarily fueled by standing genetic variation. Despite this reality, little has been done to systematically evaluate how different methods of constructing synthetic populations shape initial patterns of variation. Here we seek to address this issue by comparing outcomes in synthetic recombinant Saccharomyces cerevisiae populations created using one of two strategies: pairwise crossing of isogenic strains or simple mixing of strains in equal proportion. We also explore the impact of the varying the number of parental strains. We find that more genetic variation is initially present and maintained when population construction includes a round of pairwise crossing. As perhaps expected, we also observe that increasing the number of parental strains typically increases genetic diversity. In summary, we suggest that when constructing populations for use in evolution experiments, simply mixing founder strains in equal proportion may limit the adaptive potential.Mark A. PhillipsIan C. KutchKaitlin M. McHughSavannah K. TaggardMolly K. BurkeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Mark A. Phillips
Ian C. Kutch
Kaitlin M. McHugh
Savannah K. Taggard
Molly K. Burke
Crossing design shapes patterns of genetic variation in synthetic recombinant populations of Saccharomyces cerevisiae
description Abstract “Synthetic recombinant” populations have emerged as a useful tool for dissecting the genetics of complex traits. They can be used to derive inbred lines for fine QTL mapping, or the populations themselves can be sampled for experimental evolution. In the latter application, investigators generally value maximizing genetic variation in constructed populations. This is because in evolution experiments initiated from such populations, adaptation is primarily fueled by standing genetic variation. Despite this reality, little has been done to systematically evaluate how different methods of constructing synthetic populations shape initial patterns of variation. Here we seek to address this issue by comparing outcomes in synthetic recombinant Saccharomyces cerevisiae populations created using one of two strategies: pairwise crossing of isogenic strains or simple mixing of strains in equal proportion. We also explore the impact of the varying the number of parental strains. We find that more genetic variation is initially present and maintained when population construction includes a round of pairwise crossing. As perhaps expected, we also observe that increasing the number of parental strains typically increases genetic diversity. In summary, we suggest that when constructing populations for use in evolution experiments, simply mixing founder strains in equal proportion may limit the adaptive potential.
format article
author Mark A. Phillips
Ian C. Kutch
Kaitlin M. McHugh
Savannah K. Taggard
Molly K. Burke
author_facet Mark A. Phillips
Ian C. Kutch
Kaitlin M. McHugh
Savannah K. Taggard
Molly K. Burke
author_sort Mark A. Phillips
title Crossing design shapes patterns of genetic variation in synthetic recombinant populations of Saccharomyces cerevisiae
title_short Crossing design shapes patterns of genetic variation in synthetic recombinant populations of Saccharomyces cerevisiae
title_full Crossing design shapes patterns of genetic variation in synthetic recombinant populations of Saccharomyces cerevisiae
title_fullStr Crossing design shapes patterns of genetic variation in synthetic recombinant populations of Saccharomyces cerevisiae
title_full_unstemmed Crossing design shapes patterns of genetic variation in synthetic recombinant populations of Saccharomyces cerevisiae
title_sort crossing design shapes patterns of genetic variation in synthetic recombinant populations of saccharomyces cerevisiae
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/03cb9a05b2334b999389ec7e8084328a
work_keys_str_mv AT markaphillips crossingdesignshapespatternsofgeneticvariationinsyntheticrecombinantpopulationsofsaccharomycescerevisiae
AT ianckutch crossingdesignshapespatternsofgeneticvariationinsyntheticrecombinantpopulationsofsaccharomycescerevisiae
AT kaitlinmmchugh crossingdesignshapespatternsofgeneticvariationinsyntheticrecombinantpopulationsofsaccharomycescerevisiae
AT savannahktaggard crossingdesignshapespatternsofgeneticvariationinsyntheticrecombinantpopulationsofsaccharomycescerevisiae
AT mollykburke crossingdesignshapespatternsofgeneticvariationinsyntheticrecombinantpopulationsofsaccharomycescerevisiae
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