Show simple item record

dc.contributor.authorHe, Tianhua
dc.contributor.authorHill, C.
dc.contributor.authorAngessa, T.
dc.contributor.authorZhang, X.
dc.contributor.authorChen, Kefei
dc.contributor.authorMoody, D.
dc.contributor.authorTelfer, P.
dc.contributor.authorWestcott, S.
dc.contributor.authorLi, C.
dc.identifier.citationHe, T. and Hill, C.B. and Angessa, T.T. and Zhang, X.-Q. and Chen, K. and Moody, D. and Telfer, P. et al. 2019. Gene-set association and epistatic analyses reveal complex gene interaction networks affecting flowering time in a worldwide barley collection. Journal of Experimental Botany. erz332.

Single-marker genome-wide association studies (GWAS) have successfully detected associations between single nucleotide polymorphisms (SNPs) and agronomic traits such as flowering time and grain yield in barley. However, the analysis of individual SNPs can only account for a small proportion of genetic variation, and can only provide limited knowledge on gene network interactions. Gene-based GWAS approaches provide enormous opportunity both to combine genetic information and to examine interactions among genetic variants. Here, we revisited a previously published phenotypic and genotypic data set of 895 barley varieties grown in two years at four different field locations in Australia. We employed statistical models to examine gene-phenotype associations, as well as two-way epistasis analyses to increase the capability to find novel genes that have significant roles in controlling flowering time in barley. Genetic associations were tested between flowering time and corresponding genotypes of 174 putative flowering time-related genes. Gene-phenotype association analysis detected 113 genes associated with flowering time in barley, demonstrating the unprecedented power of gene-based analysis. Subsequent two-way epistasis analysis revealed 19 pairs of gene×gene interactions involved in controlling flowering time. Our study demonstrates that gene-based association approaches can provide higher capacity for future crop improvement to increase crop performance and adaptation to different environments.

dc.subjectflowering time
dc.subjectgene-set association analysis
dc.subjectnext-generation sequencing
dc.subjecttarget capture
dc.subjecttarget enrichment
dc.titleGene-set association and epistatic analyses reveal complex gene interaction networks affecting flowering time in a worldwide barley collection
dc.typeJournal Article
dcterms.source.titleJournal of Experimental Botany
curtin.departmentSchool of Molecular and Life Sciences (MLS)
curtin.accessStatusOpen access
curtin.facultyFaculty of Science and Engineering

Files in this item


This item appears in the following Collection(s)

Show simple item record
Except where otherwise noted, this item's license is described as