Coexpression network and phenotypic analysis identify metabolic pathways associated with the effect of warming on grain yield components in wheat.

Wheat grains are an important source of human food but current production amounts cannot meet world needs. Environmental conditions such as high temperature (above 30°C) could affect wheat production negatively. Plants from two wheat genotypes have been subjected to two growth temperature regimes. O...

Full description

Saved in:
Bibliographic Details
Main Authors: Christine Girousse, Jane Roche, Claire Guerin, Jacques Le Gouis, Sandrine Balzegue, Said Mouzeyar, Mohamed Fouad Bouzidi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0199434&type=printable
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850078990206763008
author Christine Girousse
Jane Roche
Claire Guerin
Jacques Le Gouis
Sandrine Balzegue
Said Mouzeyar
Mohamed Fouad Bouzidi
author_facet Christine Girousse
Jane Roche
Claire Guerin
Jacques Le Gouis
Sandrine Balzegue
Said Mouzeyar
Mohamed Fouad Bouzidi
author_sort Christine Girousse
collection DOAJ
description Wheat grains are an important source of human food but current production amounts cannot meet world needs. Environmental conditions such as high temperature (above 30°C) could affect wheat production negatively. Plants from two wheat genotypes have been subjected to two growth temperature regimes. One set has been grown at an optimum daily mean temperature of 19°C while the second set of plants has been subjected to warming at 27°C from two to 13 days after anthesis (daa). While warming did not affect mean grain number per spike, it significantly reduced other yield-related indicators such as grain width, length, volume and maximal cell numbers in the endosperm. Whole genome expression analysis identified 6,258 and 5,220 genes, respectively, whose expression was affected by temperature in the two genotypes. Co-expression analysis using WGCNA (Weighted Gene Coexpression Network Analysis) uncovered modules (groups of co-expressed genes) associated with agronomic traits. In particular, modules enriched in genes related to nutrient reservoir and endopeptidase inhibitor activities were found to be positively associated with cell numbers in the endosperm. A hypothetical model pertaining to the effects of warming on gene expression and growth in wheat grain is proposed. Under moderately high temperature conditions, network analyses suggest a negative effect of the expression of genes related to seed storage proteins and starch biosynthesis on the grain size in wheat.
format Article
id doaj-art-711e297d70b74aa2a4d2cae2f414251e
institution DOAJ
issn 1932-6203
language English
publishDate 2018-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj-art-711e297d70b74aa2a4d2cae2f414251e2025-08-20T02:45:23ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01136e019943410.1371/journal.pone.0199434Coexpression network and phenotypic analysis identify metabolic pathways associated with the effect of warming on grain yield components in wheat.Christine GirousseJane RocheClaire GuerinJacques Le GouisSandrine BalzegueSaid MouzeyarMohamed Fouad BouzidiWheat grains are an important source of human food but current production amounts cannot meet world needs. Environmental conditions such as high temperature (above 30°C) could affect wheat production negatively. Plants from two wheat genotypes have been subjected to two growth temperature regimes. One set has been grown at an optimum daily mean temperature of 19°C while the second set of plants has been subjected to warming at 27°C from two to 13 days after anthesis (daa). While warming did not affect mean grain number per spike, it significantly reduced other yield-related indicators such as grain width, length, volume and maximal cell numbers in the endosperm. Whole genome expression analysis identified 6,258 and 5,220 genes, respectively, whose expression was affected by temperature in the two genotypes. Co-expression analysis using WGCNA (Weighted Gene Coexpression Network Analysis) uncovered modules (groups of co-expressed genes) associated with agronomic traits. In particular, modules enriched in genes related to nutrient reservoir and endopeptidase inhibitor activities were found to be positively associated with cell numbers in the endosperm. A hypothetical model pertaining to the effects of warming on gene expression and growth in wheat grain is proposed. Under moderately high temperature conditions, network analyses suggest a negative effect of the expression of genes related to seed storage proteins and starch biosynthesis on the grain size in wheat.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0199434&type=printable
spellingShingle Christine Girousse
Jane Roche
Claire Guerin
Jacques Le Gouis
Sandrine Balzegue
Said Mouzeyar
Mohamed Fouad Bouzidi
Coexpression network and phenotypic analysis identify metabolic pathways associated with the effect of warming on grain yield components in wheat.
PLoS ONE
title Coexpression network and phenotypic analysis identify metabolic pathways associated with the effect of warming on grain yield components in wheat.
title_full Coexpression network and phenotypic analysis identify metabolic pathways associated with the effect of warming on grain yield components in wheat.
title_fullStr Coexpression network and phenotypic analysis identify metabolic pathways associated with the effect of warming on grain yield components in wheat.
title_full_unstemmed Coexpression network and phenotypic analysis identify metabolic pathways associated with the effect of warming on grain yield components in wheat.
title_short Coexpression network and phenotypic analysis identify metabolic pathways associated with the effect of warming on grain yield components in wheat.
title_sort coexpression network and phenotypic analysis identify metabolic pathways associated with the effect of warming on grain yield components in wheat
url https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0199434&type=printable
work_keys_str_mv AT christinegirousse coexpressionnetworkandphenotypicanalysisidentifymetabolicpathwaysassociatedwiththeeffectofwarmingongrainyieldcomponentsinwheat
AT janeroche coexpressionnetworkandphenotypicanalysisidentifymetabolicpathwaysassociatedwiththeeffectofwarmingongrainyieldcomponentsinwheat
AT claireguerin coexpressionnetworkandphenotypicanalysisidentifymetabolicpathwaysassociatedwiththeeffectofwarmingongrainyieldcomponentsinwheat
AT jacqueslegouis coexpressionnetworkandphenotypicanalysisidentifymetabolicpathwaysassociatedwiththeeffectofwarmingongrainyieldcomponentsinwheat
AT sandrinebalzegue coexpressionnetworkandphenotypicanalysisidentifymetabolicpathwaysassociatedwiththeeffectofwarmingongrainyieldcomponentsinwheat
AT saidmouzeyar coexpressionnetworkandphenotypicanalysisidentifymetabolicpathwaysassociatedwiththeeffectofwarmingongrainyieldcomponentsinwheat
AT mohamedfouadbouzidi coexpressionnetworkandphenotypicanalysisidentifymetabolicpathwaysassociatedwiththeeffectofwarmingongrainyieldcomponentsinwheat