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Genomic regions controlling yield-related traits in spring wheat: a mini review and a case study for rainfed environments in Australia and China.
- Source :
-
Genomics . Mar2022, Vol. 114 Issue 2, pN.PAG-N.PAG. 1p. - Publication Year :
- 2022
-
Abstract
- A genome-wide association study (GWAS) was performed in six environments to identify major or consistent alleles responsible for wheat yield traits in Australia and North China where rainfed farming system is adopted. A panel of 228 spring wheat varieties were genotyped by double digest restriction-site associated DNA genotyping-by-sequencing. A total of 223 significant marker-trait association (MTAs) and 46 candidate genes for large- or consistent-effect MTAs were identified. The results were compared with previous studies based on a mini-review of 23 GWAS analyses on wheat yield. A phenomenon seldom reported in previous studies was that MTAs responsible for the trait tended to cluster together at certain chromosome segments, and many candidate genes were in the form of gene clusters. Although linkage disequilibrium (LD) might contribute to the co-segregation of the regions, it also suggested that marker-assisted selection (MAS) or transgenic method targeting a single gene might not be as effective as MAS targeting a larger genomic region where all the genes or gene clusters underlying play important roles. • A mini review was conducted forGWAS outcomes on wheat yield-related traits, which had not been reported before. • GWAS analyses were carried out in six individual environments in Australia and North China. • A panel of 228 spring wheat varieties were genotyped by ddRAD sequencing. Forty-six candidate genes for major or consistent MTAs were identified. • Gene clusters and clustered MTAs responsible for yield were frequently identified in GWAS. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 08887543
- Volume :
- 114
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Genomics
- Publication Type :
- Academic Journal
- Accession number :
- 155779083
- Full Text :
- https://doi.org/10.1016/j.ygeno.2022.110268