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Whole-Genome Quantitative Trait Locus Mapping Reveals Major Role of Epistasis on Yield of Rice

Although rice yield has been doubled in most parts of the world since 1960s, thanks to the advancements in breeding technologies, the biological mechanisms controlling yield are largely unknown. To understand the genetic basis of rice yield, a number of quantitative trait locus (QTL) mapping studies...

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Detalles Bibliográficos
Autores principales: Huang, Anhui, Xu, Shizhong, Cai, Xiaodong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3906158/
https://www.ncbi.nlm.nih.gov/pubmed/24489897
http://dx.doi.org/10.1371/journal.pone.0087330
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author Huang, Anhui
Xu, Shizhong
Cai, Xiaodong
author_facet Huang, Anhui
Xu, Shizhong
Cai, Xiaodong
author_sort Huang, Anhui
collection PubMed
description Although rice yield has been doubled in most parts of the world since 1960s, thanks to the advancements in breeding technologies, the biological mechanisms controlling yield are largely unknown. To understand the genetic basis of rice yield, a number of quantitative trait locus (QTL) mapping studies have been carried out, but whole-genome QTL mapping incorporating all interaction effects is still lacking. In this paper, we exploited whole-genome markers of an immortalized F(2) population derived from an elite rice hybrid to perform QTL mapping for rice yield characterized by yield per plant and three yield component traits. Our QTL model includes additive and dominance main effects of 1,619 markers and all pair-wise interactions, with a total of more than 5 million possible effects. The QTL mapping identified 54, 5, 28 and 4 significant effects involving 103, 9, 52 and 7 QTLs for the four traits, namely the number of panicles per plant, the number of grains per panicle, grain weight, and yield per plant. Most identified QTLs are involved in digenic interactions. An extensive literature survey of experimentally characterized genes related to crop yield shows that 19 of 54 effects, 4 of 5 effects, 12 of 28 effects and 2 of 4 effects for the four traits, respectively, involve at least one QTL that locates within 2 cM distance to at least one yield-related gene. This study not only reveals the major role of epistasis influencing rice yield, but also provides a set of candidate genetic loci for further experimental investigation.
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spelling pubmed-39061582014-01-31 Whole-Genome Quantitative Trait Locus Mapping Reveals Major Role of Epistasis on Yield of Rice Huang, Anhui Xu, Shizhong Cai, Xiaodong PLoS One Research Article Although rice yield has been doubled in most parts of the world since 1960s, thanks to the advancements in breeding technologies, the biological mechanisms controlling yield are largely unknown. To understand the genetic basis of rice yield, a number of quantitative trait locus (QTL) mapping studies have been carried out, but whole-genome QTL mapping incorporating all interaction effects is still lacking. In this paper, we exploited whole-genome markers of an immortalized F(2) population derived from an elite rice hybrid to perform QTL mapping for rice yield characterized by yield per plant and three yield component traits. Our QTL model includes additive and dominance main effects of 1,619 markers and all pair-wise interactions, with a total of more than 5 million possible effects. The QTL mapping identified 54, 5, 28 and 4 significant effects involving 103, 9, 52 and 7 QTLs for the four traits, namely the number of panicles per plant, the number of grains per panicle, grain weight, and yield per plant. Most identified QTLs are involved in digenic interactions. An extensive literature survey of experimentally characterized genes related to crop yield shows that 19 of 54 effects, 4 of 5 effects, 12 of 28 effects and 2 of 4 effects for the four traits, respectively, involve at least one QTL that locates within 2 cM distance to at least one yield-related gene. This study not only reveals the major role of epistasis influencing rice yield, but also provides a set of candidate genetic loci for further experimental investigation. Public Library of Science 2014-01-29 /pmc/articles/PMC3906158/ /pubmed/24489897 http://dx.doi.org/10.1371/journal.pone.0087330 Text en © 2014 Huang et al 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 Research Article
Huang, Anhui
Xu, Shizhong
Cai, Xiaodong
Whole-Genome Quantitative Trait Locus Mapping Reveals Major Role of Epistasis on Yield of Rice
title Whole-Genome Quantitative Trait Locus Mapping Reveals Major Role of Epistasis on Yield of Rice
title_full Whole-Genome Quantitative Trait Locus Mapping Reveals Major Role of Epistasis on Yield of Rice
title_fullStr Whole-Genome Quantitative Trait Locus Mapping Reveals Major Role of Epistasis on Yield of Rice
title_full_unstemmed Whole-Genome Quantitative Trait Locus Mapping Reveals Major Role of Epistasis on Yield of Rice
title_short Whole-Genome Quantitative Trait Locus Mapping Reveals Major Role of Epistasis on Yield of Rice
title_sort whole-genome quantitative trait locus mapping reveals major role of epistasis on yield of rice
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3906158/
https://www.ncbi.nlm.nih.gov/pubmed/24489897
http://dx.doi.org/10.1371/journal.pone.0087330
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