Khound, R and Rajput, S G and Schnable, J C and Vetriventhan, M and Santra, D K (2024) Genome-wide association study reveals marker–trait associations for major agronomic traits in proso millet (Panicum miliaceum L.). Planta (TSI), 260. ISSN 0032-0935
Full text not available from this repository. (Request a copy)Abstract
Proso millet (Panicum miliaceum L.) is an ancient grain recognized for its excellent water-use efficiency and short growing season. It is an indispensable part of the winter wheat-based dryland cropping system in the High Plains of the USA. Its grains are endowed with high nutritional and health-promoting properties, making it increasingly popular in the global market for healthy grains. There is a dearth of genomic resources in proso millet for developing molecular tools to complement conventional breeding for developing high-yielding varieties. Genome-wide association study (GWAS) is a widely used method to dissect the genetics of complex traits. In this pilot study of the first-ever GWAS in the US proso millet, 71 globally diverse genotypes of 109 the US proso millet core collection were evaluated for five major morpho-agronomic traits at two locations in western Nebraska, and GWAS was conducted to identify single nucleotide polymorphisms (SNPs) associated with these traits. Analysis of variance showed that there was a significant difference among the genotypes, and all five traits were also found to be highly correlated with each other. Sequence reads from genotyping-by-sequencing (GBS) were used to identify 11,147 high-quality bi-allelic SNPs. Population structure analysis with those SNPs showed stratification within the core collection. The GWAS identified twenty marker–trait associations (MTAs) for the five traits. Twenty-nine putative candidate genes associated with the five traits were also identified. These genomic regions can be used to develop genetic markers for marker-assisted selection in proso millet breeding.
| Item Type: | Article |
|---|---|
| Divisions: | Genebank |
| CRP: | UNSPECIFIED |
| Uncontrolled Keywords: | Ancient grains, Gluten-free, Climate resilient, Single nucleotide polymorphism, Population structure, Association mapping |
| Subjects: | Mandate crops > Millets Others > Climate Resilient Technologies Others > Genetics and Genomics |
| Depositing User: | Mr Nagaraju T |
| Date Deposited: | 08 Oct 2024 04:23 |
| Last Modified: | 08 Oct 2024 04:23 |
| URI: | http://oar.icrisat.org/id/eprint/12836 |
| Official URL: | https://link.springer.com/article/10.1007/s00425-0... |
| Projects: | UNSPECIFIED |
| Funders: | UNSPECIFIED |
| Acknowledgement: | The authors are grateful to the Holland Computing Center (HCC) at the University of Nebraska-Lincoln for allowing access to the high-computing resources for running a significant portion of the analyses. The authors are also thankful to David Brenner of the USDA North Central Regional Plant Introduction Station (NCRPIS), Ames, Iowa, for providing them with the germplasm for conducting their research. |
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