Cargando…
The complex genetic and molecular basis of a model quantitative trait
Quantitative traits are often influenced by many loci with small effects. Identifying most of these loci and resolving them to specific genes or genetic variants is challenging. Yet, achieving such a detailed understanding of quantitative traits is important, as it can improve our knowledge of the g...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The American Society for Cell Biology
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4694759/ https://www.ncbi.nlm.nih.gov/pubmed/26510497 http://dx.doi.org/10.1091/mbc.E15-06-0408 |
_version_ | 1782407515974139904 |
---|---|
author | Linder, Robert A. Seidl, Fabian Ha, Kimberly Ehrenreich, Ian M. |
author_facet | Linder, Robert A. Seidl, Fabian Ha, Kimberly Ehrenreich, Ian M. |
author_sort | Linder, Robert A. |
collection | PubMed |
description | Quantitative traits are often influenced by many loci with small effects. Identifying most of these loci and resolving them to specific genes or genetic variants is challenging. Yet, achieving such a detailed understanding of quantitative traits is important, as it can improve our knowledge of the genetic and molecular basis of heritable phenotypic variation. In this study, we use a genetic mapping strategy that involves recurrent backcrossing with phenotypic selection to obtain new insights into an ecologically, industrially, and medically relevant quantitative trait—tolerance of oxidative stress, as measured based on resistance to hydrogen peroxide. We examine the genetic basis of hydrogen peroxide resistance in three related yeast crosses and detect 64 distinct genomic loci that likely influence the trait. By precisely resolving or cloning a number of these loci, we demonstrate that a broad spectrum of cellular processes contribute to hydrogen peroxide resistance, including DNA repair, scavenging of reactive oxygen species, stress-induced MAPK signaling, translation, and water transport. Consistent with the complex genetic and molecular basis of hydrogen peroxide resistance, we show two examples where multiple distinct causal genetic variants underlie what appears to be a single locus. Our results improve understanding of the genetic and molecular basis of a highly complex, model quantitative trait. |
format | Online Article Text |
id | pubmed-4694759 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | The American Society for Cell Biology |
record_format | MEDLINE/PubMed |
spelling | pubmed-46947592016-03-16 The complex genetic and molecular basis of a model quantitative trait Linder, Robert A. Seidl, Fabian Ha, Kimberly Ehrenreich, Ian M. Mol Biol Cell Articles Quantitative traits are often influenced by many loci with small effects. Identifying most of these loci and resolving them to specific genes or genetic variants is challenging. Yet, achieving such a detailed understanding of quantitative traits is important, as it can improve our knowledge of the genetic and molecular basis of heritable phenotypic variation. In this study, we use a genetic mapping strategy that involves recurrent backcrossing with phenotypic selection to obtain new insights into an ecologically, industrially, and medically relevant quantitative trait—tolerance of oxidative stress, as measured based on resistance to hydrogen peroxide. We examine the genetic basis of hydrogen peroxide resistance in three related yeast crosses and detect 64 distinct genomic loci that likely influence the trait. By precisely resolving or cloning a number of these loci, we demonstrate that a broad spectrum of cellular processes contribute to hydrogen peroxide resistance, including DNA repair, scavenging of reactive oxygen species, stress-induced MAPK signaling, translation, and water transport. Consistent with the complex genetic and molecular basis of hydrogen peroxide resistance, we show two examples where multiple distinct causal genetic variants underlie what appears to be a single locus. Our results improve understanding of the genetic and molecular basis of a highly complex, model quantitative trait. The American Society for Cell Biology 2016-01-01 /pmc/articles/PMC4694759/ /pubmed/26510497 http://dx.doi.org/10.1091/mbc.E15-06-0408 Text en © 2016 Linder et al. This article is distributed by The American Society for Cell Biology under license from the author(s). Two months after publication it is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0). “ASCB®,” “The American Society for Cell Biology®,” and “Molecular Biology of the Cell®” are registered trademarks of The American Society for Cell Biology. |
spellingShingle | Articles Linder, Robert A. Seidl, Fabian Ha, Kimberly Ehrenreich, Ian M. The complex genetic and molecular basis of a model quantitative trait |
title | The complex genetic and molecular basis of a model quantitative trait |
title_full | The complex genetic and molecular basis of a model quantitative trait |
title_fullStr | The complex genetic and molecular basis of a model quantitative trait |
title_full_unstemmed | The complex genetic and molecular basis of a model quantitative trait |
title_short | The complex genetic and molecular basis of a model quantitative trait |
title_sort | complex genetic and molecular basis of a model quantitative trait |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4694759/ https://www.ncbi.nlm.nih.gov/pubmed/26510497 http://dx.doi.org/10.1091/mbc.E15-06-0408 |
work_keys_str_mv | AT linderroberta thecomplexgeneticandmolecularbasisofamodelquantitativetrait AT seidlfabian thecomplexgeneticandmolecularbasisofamodelquantitativetrait AT hakimberly thecomplexgeneticandmolecularbasisofamodelquantitativetrait AT ehrenreichianm thecomplexgeneticandmolecularbasisofamodelquantitativetrait AT linderroberta complexgeneticandmolecularbasisofamodelquantitativetrait AT seidlfabian complexgeneticandmolecularbasisofamodelquantitativetrait AT hakimberly complexgeneticandmolecularbasisofamodelquantitativetrait AT ehrenreichianm complexgeneticandmolecularbasisofamodelquantitativetrait |