Xingyi Wang1,2, Hui Liu3,4, Kadambot H M Siddique2, Guijun Yan5,6. 1. UWA School of Agriculture and Environment, The University of Western Australia, Perth, WA, 6009, Australia. 2. The UWA Institute of Agriculture, The University of Western Australia, Perth, WA, 6009, Australia. 3. UWA School of Agriculture and Environment, The University of Western Australia, Perth, WA, 6009, Australia. hui.liu@uwa.edu.au. 4. The UWA Institute of Agriculture, The University of Western Australia, Perth, WA, 6009, Australia. hui.liu@uwa.edu.au. 5. UWA School of Agriculture and Environment, The University of Western Australia, Perth, WA, 6009, Australia. guijun.yan@uwa.edu.au. 6. The UWA Institute of Agriculture, The University of Western Australia, Perth, WA, 6009, Australia. guijun.yan@uwa.edu.au.
Abstract
BACKGROUND: Pre-harvest sprouting (PHS) in wheat can cause severe damage to both grain yield and quality. Resistance to PHS is a quantitative trait controlled by many genes located across all 21 wheat chromosomes. The study targeted a large-effect quantitative trait locus (QTL) QPhs.ccsu-3A.1 for PHS resistance using several sets previously developed near-isogenic lines (NILs). Two pairs of NILs with highly significant phenotypic differences between the isolines were examined by RNA sequencing for their transcriptomic profiles on developing seeds at 15, 25 and 35 days after pollination (DAP) to identify candidate genes underlying the QTL and elucidate gene effects on PHS resistance. At each DAP, differentially expressed genes (DEGs) between the isolines were investigated. RESULTS: Gene ontology and KEGG pathway enrichment analyses of key DEGs suggested that six candidate genes underlie QPhs.ccsu-3A.1 responsible for PHS resistance in wheat. Candidate gene expression was further validated by quantitative RT-PCR. Within the targeted QTL interval, 16 genetic variants including five single nucleotide polymorphisms (SNPs) and 11 indels showed consistent polymorphism between resistant and susceptible isolines. CONCLUSIONS: The targeted QTL is confirmed to harbor core genes related to hormone signaling pathways that can be exploited as a key genomic region for marker-assisted selection. The candidate genes and SNP/indel markers detected in this study are valuable resources for understanding the mechanism of PHS resistance and for marker-assisted breeding of the trait in wheat.
BACKGROUND: Pre-harvest sprouting (PHS) in wheat can cause severe damage to both grain yield and quality. Resistance to PHS is a quantitative trait controlled by many genes located across all 21 wheat chromosomes. The study targeted a large-effect quantitative trait locus (QTL) QPhs.ccsu-3A.1 for PHS resistance using several sets previously developed near-isogenic lines (NILs). Two pairs of NILs with highly significant phenotypic differences between the isolines were examined by RNA sequencing for their transcriptomic profiles on developing seeds at 15, 25 and 35 days after pollination (DAP) to identify candidate genes underlying the QTL and elucidate gene effects on PHS resistance. At each DAP, differentially expressed genes (DEGs) between the isolines were investigated. RESULTS: Gene ontology and KEGG pathway enrichment analyses of key DEGs suggested that six candidate genes underlie QPhs.ccsu-3A.1 responsible for PHS resistance in wheat. Candidate gene expression was further validated by quantitative RT-PCR. Within the targeted QTL interval, 16 genetic variants including five single nucleotide polymorphisms (SNPs) and 11 indels showed consistent polymorphism between resistant and susceptible isolines. CONCLUSIONS: The targeted QTL is confirmed to harbor core genes related to hormone signaling pathways that can be exploited as a key genomic region for marker-assisted selection. The candidate genes and SNP/indel markers detected in this study are valuable resources for understanding the mechanism of PHS resistance and for marker-assisted breeding of the trait in wheat.
Authors: Anna Gołda; Piotr Szyniarowski; Katarzyna Ostrowska; Andrzej Kozik; Maria Rapała-Kozik Journal: Plant Physiol Biochem Date: 2004-03 Impact factor: 4.270
Authors: A A Kocheshkova; P Yu Kroupin; M S Bazhenov; G I Karlov; A A Pochtovyy; V P Upelniek; V I Belov; M G Divashuk Journal: PLoS One Date: 2017-11-13 Impact factor: 3.240