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Advances in Quantitative Trait Analysis in Yeast
Understanding the genetic mechanisms underlying complex traits is one of the next frontiers in biology. The budding yeast Saccharomyces cerevisiae has become an important model for elucidating the mechanisms that govern natural genetic and phenotypic variation. This success is partially due to its i...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3420948/ https://www.ncbi.nlm.nih.gov/pubmed/22916041 http://dx.doi.org/10.1371/journal.pgen.1002912 |
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author | Liti, Gianni Louis, Edward J. |
author_facet | Liti, Gianni Louis, Edward J. |
author_sort | Liti, Gianni |
collection | PubMed |
description | Understanding the genetic mechanisms underlying complex traits is one of the next frontiers in biology. The budding yeast Saccharomyces cerevisiae has become an important model for elucidating the mechanisms that govern natural genetic and phenotypic variation. This success is partially due to its intrinsic biological features, such as the short sexual generation time, high meiotic recombination rate, and small genome size. Precise reverse genetics technologies allow the high throughput manipulation of genetic information with exquisite precision, offering the unique opportunity to experimentally measure the phenotypic effect of genetic variants. Population genomic and phenomic studies have revealed widespread variation between diverged populations, characteristic of man-made environments, as well as geographic clusters of wild strains along with naturally occurring recombinant strains (mosaics). Here, we review these recent studies and provide a perspective on how these previously unappreciated levels of variation can help to bridge our understanding of the genotype-phenotype gap, keeping budding yeast at the forefront of genetic studies. Not only are quantitative trait loci (QTL) being mapped with high resolution down to the nucleotide, for the first time QTLs of modest effect and complex interactions between these QTLs and between QTLs and the environment are being determined experimentally at unprecedented levels using next generation techniques of deep sequencing selected pools of individuals as well as multi-generational crosses. |
format | Online Article Text |
id | pubmed-3420948 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-34209482012-08-22 Advances in Quantitative Trait Analysis in Yeast Liti, Gianni Louis, Edward J. PLoS Genet Review Understanding the genetic mechanisms underlying complex traits is one of the next frontiers in biology. The budding yeast Saccharomyces cerevisiae has become an important model for elucidating the mechanisms that govern natural genetic and phenotypic variation. This success is partially due to its intrinsic biological features, such as the short sexual generation time, high meiotic recombination rate, and small genome size. Precise reverse genetics technologies allow the high throughput manipulation of genetic information with exquisite precision, offering the unique opportunity to experimentally measure the phenotypic effect of genetic variants. Population genomic and phenomic studies have revealed widespread variation between diverged populations, characteristic of man-made environments, as well as geographic clusters of wild strains along with naturally occurring recombinant strains (mosaics). Here, we review these recent studies and provide a perspective on how these previously unappreciated levels of variation can help to bridge our understanding of the genotype-phenotype gap, keeping budding yeast at the forefront of genetic studies. Not only are quantitative trait loci (QTL) being mapped with high resolution down to the nucleotide, for the first time QTLs of modest effect and complex interactions between these QTLs and between QTLs and the environment are being determined experimentally at unprecedented levels using next generation techniques of deep sequencing selected pools of individuals as well as multi-generational crosses. Public Library of Science 2012-08-16 /pmc/articles/PMC3420948/ /pubmed/22916041 http://dx.doi.org/10.1371/journal.pgen.1002912 Text en © 2012 Liti, Louis http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Review Liti, Gianni Louis, Edward J. Advances in Quantitative Trait Analysis in Yeast |
title | Advances in Quantitative Trait Analysis in Yeast |
title_full | Advances in Quantitative Trait Analysis in Yeast |
title_fullStr | Advances in Quantitative Trait Analysis in Yeast |
title_full_unstemmed | Advances in Quantitative Trait Analysis in Yeast |
title_short | Advances in Quantitative Trait Analysis in Yeast |
title_sort | advances in quantitative trait analysis in yeast |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3420948/ https://www.ncbi.nlm.nih.gov/pubmed/22916041 http://dx.doi.org/10.1371/journal.pgen.1002912 |
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