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Dynamic genetic architecture of yeast response to environmental perturbation shed light on origin of cryptic genetic variation

Cryptic genetic variation could arise from, for example, Gene-by-Gene (G-by-G) or Gene-by-Environment (G-by-E) interactions. The underlying molecular mechanisms and how they influence allelic effects and the genetic variance of complex traits is largely unclear. Here, we empirically explored the rol...

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Autores principales: Zan, Yanjun, Carlborg, Örjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241848/
https://www.ncbi.nlm.nih.gov/pubmed/32392218
http://dx.doi.org/10.1371/journal.pgen.1008801
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author Zan, Yanjun
Carlborg, Örjan
author_facet Zan, Yanjun
Carlborg, Örjan
author_sort Zan, Yanjun
collection PubMed
description Cryptic genetic variation could arise from, for example, Gene-by-Gene (G-by-G) or Gene-by-Environment (G-by-E) interactions. The underlying molecular mechanisms and how they influence allelic effects and the genetic variance of complex traits is largely unclear. Here, we empirically explored the role of environmentally influenced epistasis on the suppression and release of cryptic variation by reanalysing a dataset of 4,390 haploid yeast segregants phenotyped on 20 different media. The focus was on 130 epistatic loci, each contributing to segregant growth in at least one environment and that together explained most (69–100%) of the narrow sense heritability of growth in the individual environments. We revealed that the epistatic growth network reorganised upon environmental changes to alter the estimated marginal (additive) effects of the individual loci, how multi-locus interactions contributed to individual segregant growth and the level of expressed genetic variance in growth. The estimated additive effects varied most across environments for loci that were highly interactive network hubs in some environments but had few or no interactors in other environments, resulting in changes in total genetic variance across environments. This environmentally dependent epistasis was thus an important mechanism for the suppression and release of cryptic variation in this population. Our findings increase the understanding of the complex genetic mechanisms leading to cryptic variation in populations, providing a basis for future studies on the genetic maintenance of trait robustness and development of genetic models for studying and predicting selection responses for quantitative traits in breeding and evolution.
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spelling pubmed-72418482020-06-03 Dynamic genetic architecture of yeast response to environmental perturbation shed light on origin of cryptic genetic variation Zan, Yanjun Carlborg, Örjan PLoS Genet Research Article Cryptic genetic variation could arise from, for example, Gene-by-Gene (G-by-G) or Gene-by-Environment (G-by-E) interactions. The underlying molecular mechanisms and how they influence allelic effects and the genetic variance of complex traits is largely unclear. Here, we empirically explored the role of environmentally influenced epistasis on the suppression and release of cryptic variation by reanalysing a dataset of 4,390 haploid yeast segregants phenotyped on 20 different media. The focus was on 130 epistatic loci, each contributing to segregant growth in at least one environment and that together explained most (69–100%) of the narrow sense heritability of growth in the individual environments. We revealed that the epistatic growth network reorganised upon environmental changes to alter the estimated marginal (additive) effects of the individual loci, how multi-locus interactions contributed to individual segregant growth and the level of expressed genetic variance in growth. The estimated additive effects varied most across environments for loci that were highly interactive network hubs in some environments but had few or no interactors in other environments, resulting in changes in total genetic variance across environments. This environmentally dependent epistasis was thus an important mechanism for the suppression and release of cryptic variation in this population. Our findings increase the understanding of the complex genetic mechanisms leading to cryptic variation in populations, providing a basis for future studies on the genetic maintenance of trait robustness and development of genetic models for studying and predicting selection responses for quantitative traits in breeding and evolution. Public Library of Science 2020-05-11 /pmc/articles/PMC7241848/ /pubmed/32392218 http://dx.doi.org/10.1371/journal.pgen.1008801 Text en © 2020 Zan, Carlborg http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Zan, Yanjun
Carlborg, Örjan
Dynamic genetic architecture of yeast response to environmental perturbation shed light on origin of cryptic genetic variation
title Dynamic genetic architecture of yeast response to environmental perturbation shed light on origin of cryptic genetic variation
title_full Dynamic genetic architecture of yeast response to environmental perturbation shed light on origin of cryptic genetic variation
title_fullStr Dynamic genetic architecture of yeast response to environmental perturbation shed light on origin of cryptic genetic variation
title_full_unstemmed Dynamic genetic architecture of yeast response to environmental perturbation shed light on origin of cryptic genetic variation
title_short Dynamic genetic architecture of yeast response to environmental perturbation shed light on origin of cryptic genetic variation
title_sort dynamic genetic architecture of yeast response to environmental perturbation shed light on origin of cryptic genetic variation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241848/
https://www.ncbi.nlm.nih.gov/pubmed/32392218
http://dx.doi.org/10.1371/journal.pgen.1008801
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