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Dissection of quantitative trait loci in the Lachancea waltii yeast species highlights major hotspots

Dissecting the genetic basis of complex trait remains a real challenge. The budding yeast Saccharomyces cerevisiae has become a model organism for studying quantitative traits, successfully increasing our knowledge in many aspects. However, the exploration of the genotype–phenotype relationship in n...

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Autores principales: Peltier, Emilien, Bibi-Triki, Sabrina, Dutreux, Fabien, Caradec, Claudia, Friedrich, Anne, Llorente, Bertrand, Schacherer, Joseph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496267/
https://www.ncbi.nlm.nih.gov/pubmed/34544138
http://dx.doi.org/10.1093/g3journal/jkab242
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author Peltier, Emilien
Bibi-Triki, Sabrina
Dutreux, Fabien
Caradec, Claudia
Friedrich, Anne
Llorente, Bertrand
Schacherer, Joseph
author_facet Peltier, Emilien
Bibi-Triki, Sabrina
Dutreux, Fabien
Caradec, Claudia
Friedrich, Anne
Llorente, Bertrand
Schacherer, Joseph
author_sort Peltier, Emilien
collection PubMed
description Dissecting the genetic basis of complex trait remains a real challenge. The budding yeast Saccharomyces cerevisiae has become a model organism for studying quantitative traits, successfully increasing our knowledge in many aspects. However, the exploration of the genotype–phenotype relationship in non-model yeast species could provide a deeper insight into the genetic basis of complex traits. Here, we have studied this relationship in the Lachancea waltii species which diverged from the S. cerevisiae lineage prior to the whole-genome duplication. By performing linkage mapping analyses in this species, we identified 86 quantitative trait loci (QTL) impacting the growth in a large number of conditions. The distribution of these loci across the genome has revealed two major QTL hotspots. A first hotspot corresponds to a general growth QTL, impacting a wide range of conditions. By contrast, the second hotspot highlighted a trade-off with a disadvantageous allele for drug-free conditions which proved to be advantageous in the presence of several drugs. Finally, a comparison of the detected QTL in L. waltii with those which had been previously identified for the same trait in a closely related species, Lachancea kluyveri was performed. This analysis clearly showed the absence of shared QTL across these species. Altogether, our results represent a first step toward the exploration of the genetic architecture of quantitative trait across different yeast species.
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spelling pubmed-84962672021-10-07 Dissection of quantitative trait loci in the Lachancea waltii yeast species highlights major hotspots Peltier, Emilien Bibi-Triki, Sabrina Dutreux, Fabien Caradec, Claudia Friedrich, Anne Llorente, Bertrand Schacherer, Joseph G3 (Bethesda) Investigation Dissecting the genetic basis of complex trait remains a real challenge. The budding yeast Saccharomyces cerevisiae has become a model organism for studying quantitative traits, successfully increasing our knowledge in many aspects. However, the exploration of the genotype–phenotype relationship in non-model yeast species could provide a deeper insight into the genetic basis of complex traits. Here, we have studied this relationship in the Lachancea waltii species which diverged from the S. cerevisiae lineage prior to the whole-genome duplication. By performing linkage mapping analyses in this species, we identified 86 quantitative trait loci (QTL) impacting the growth in a large number of conditions. The distribution of these loci across the genome has revealed two major QTL hotspots. A first hotspot corresponds to a general growth QTL, impacting a wide range of conditions. By contrast, the second hotspot highlighted a trade-off with a disadvantageous allele for drug-free conditions which proved to be advantageous in the presence of several drugs. Finally, a comparison of the detected QTL in L. waltii with those which had been previously identified for the same trait in a closely related species, Lachancea kluyveri was performed. This analysis clearly showed the absence of shared QTL across these species. Altogether, our results represent a first step toward the exploration of the genetic architecture of quantitative trait across different yeast species. Oxford University Press 2021-07-14 /pmc/articles/PMC8496267/ /pubmed/34544138 http://dx.doi.org/10.1093/g3journal/jkab242 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Genetics Society of America. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Investigation
Peltier, Emilien
Bibi-Triki, Sabrina
Dutreux, Fabien
Caradec, Claudia
Friedrich, Anne
Llorente, Bertrand
Schacherer, Joseph
Dissection of quantitative trait loci in the Lachancea waltii yeast species highlights major hotspots
title Dissection of quantitative trait loci in the Lachancea waltii yeast species highlights major hotspots
title_full Dissection of quantitative trait loci in the Lachancea waltii yeast species highlights major hotspots
title_fullStr Dissection of quantitative trait loci in the Lachancea waltii yeast species highlights major hotspots
title_full_unstemmed Dissection of quantitative trait loci in the Lachancea waltii yeast species highlights major hotspots
title_short Dissection of quantitative trait loci in the Lachancea waltii yeast species highlights major hotspots
title_sort dissection of quantitative trait loci in the lachancea waltii yeast species highlights major hotspots
topic Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496267/
https://www.ncbi.nlm.nih.gov/pubmed/34544138
http://dx.doi.org/10.1093/g3journal/jkab242
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