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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2021
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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) |
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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 |
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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 |
_version_ |
1718379862490611712 |