Genome-wide association study and gene network analyses reveal potential candidate genes for high night temperature tolerance in rice

Abstract High night temperatures (HNT) are shown to significantly reduce rice (Oryza sativa L.) yield and quality. A better understanding of the genetic architecture of HNT tolerance will help rice breeders to develop varieties adapted to future warmer climates. In this study, a diverse indica rice...

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Autores principales: Raju Bheemanahalli, Montana Knight, Cherryl Quinones, Colleen J. Doherty, S. V. Krishna Jagadish
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/30033ae224024338a9e2aee8176974a0
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spelling oai:doaj.org-article:30033ae224024338a9e2aee8176974a02021-12-02T11:45:03ZGenome-wide association study and gene network analyses reveal potential candidate genes for high night temperature tolerance in rice10.1038/s41598-021-85921-z2045-2322https://doaj.org/article/30033ae224024338a9e2aee8176974a02021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-85921-zhttps://doaj.org/toc/2045-2322Abstract High night temperatures (HNT) are shown to significantly reduce rice (Oryza sativa L.) yield and quality. A better understanding of the genetic architecture of HNT tolerance will help rice breeders to develop varieties adapted to future warmer climates. In this study, a diverse indica rice panel displayed a wide range of phenotypic variability in yield and quality traits under control night (24 °C) and higher night (29 °C) temperatures. Genome-wide association analysis revealed 38 genetic loci associated across treatments (18 for control and 20 for HNT). Nineteen loci were detected with the relative changes in the traits between control and HNT. Positive phenotypic correlations and co-located genetic loci with previously cloned grain size genes revealed common genetic regulation between control and HNT, particularly grain size. Network-based predictive models prioritized 20 causal genes at the genetic loci based on known gene/s expression under HNT in rice. Our study provides important insights for future candidate gene validation and molecular marker development to enhance HNT tolerance in rice. Integrated physiological, genomic, and gene network-informed approaches indicate that the candidate genes for stay-green trait may be relevant to minimizing HNT-induced yield and quality losses during grain filling in rice by optimizing source-sink relationships.Raju BheemanahalliMontana KnightCherryl QuinonesColleen J. DohertyS. V. Krishna JagadishNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-17 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Raju Bheemanahalli
Montana Knight
Cherryl Quinones
Colleen J. Doherty
S. V. Krishna Jagadish
Genome-wide association study and gene network analyses reveal potential candidate genes for high night temperature tolerance in rice
description Abstract High night temperatures (HNT) are shown to significantly reduce rice (Oryza sativa L.) yield and quality. A better understanding of the genetic architecture of HNT tolerance will help rice breeders to develop varieties adapted to future warmer climates. In this study, a diverse indica rice panel displayed a wide range of phenotypic variability in yield and quality traits under control night (24 °C) and higher night (29 °C) temperatures. Genome-wide association analysis revealed 38 genetic loci associated across treatments (18 for control and 20 for HNT). Nineteen loci were detected with the relative changes in the traits between control and HNT. Positive phenotypic correlations and co-located genetic loci with previously cloned grain size genes revealed common genetic regulation between control and HNT, particularly grain size. Network-based predictive models prioritized 20 causal genes at the genetic loci based on known gene/s expression under HNT in rice. Our study provides important insights for future candidate gene validation and molecular marker development to enhance HNT tolerance in rice. Integrated physiological, genomic, and gene network-informed approaches indicate that the candidate genes for stay-green trait may be relevant to minimizing HNT-induced yield and quality losses during grain filling in rice by optimizing source-sink relationships.
format article
author Raju Bheemanahalli
Montana Knight
Cherryl Quinones
Colleen J. Doherty
S. V. Krishna Jagadish
author_facet Raju Bheemanahalli
Montana Knight
Cherryl Quinones
Colleen J. Doherty
S. V. Krishna Jagadish
author_sort Raju Bheemanahalli
title Genome-wide association study and gene network analyses reveal potential candidate genes for high night temperature tolerance in rice
title_short Genome-wide association study and gene network analyses reveal potential candidate genes for high night temperature tolerance in rice
title_full Genome-wide association study and gene network analyses reveal potential candidate genes for high night temperature tolerance in rice
title_fullStr Genome-wide association study and gene network analyses reveal potential candidate genes for high night temperature tolerance in rice
title_full_unstemmed Genome-wide association study and gene network analyses reveal potential candidate genes for high night temperature tolerance in rice
title_sort genome-wide association study and gene network analyses reveal potential candidate genes for high night temperature tolerance in rice
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/30033ae224024338a9e2aee8176974a0
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AT montanaknight genomewideassociationstudyandgenenetworkanalysesrevealpotentialcandidategenesforhighnighttemperaturetoleranceinrice
AT cherrylquinones genomewideassociationstudyandgenenetworkanalysesrevealpotentialcandidategenesforhighnighttemperaturetoleranceinrice
AT colleenjdoherty genomewideassociationstudyandgenenetworkanalysesrevealpotentialcandidategenesforhighnighttemperaturetoleranceinrice
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