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Genome-wide association study reveals marker-trait associations for major agronomic traits in proso millet (Panicum miliaceum L.).
Khound, Rituraj; Rajput, Santosh G; Schnable, James C; Vetriventhan, Mani; Santra, Dipak K.
Affiliation
  • Khound R; Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, USA.
  • Rajput SG; Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, USA.
  • Schnable JC; Dryland Genetics Inc, Ames, IA, USA.
  • Vetriventhan M; Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, USA.
  • Santra DK; Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, NE, USA.
Planta ; 260(2): 44, 2024 Jul 04.
Article in En | MEDLINE | ID: mdl-38963439
ABSTRACT
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CONCLUSION:

The pilot-scale genome-wide association study in the US proso millet identified twenty marker-trait associations for five morpho-agronomic traits identifying genomic regions for future studies (e.g. molecular breeding and map-based cloning). 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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Polymorphism, Single Nucleotide / Genome-Wide Association Study / Panicum Language: En Journal: Planta Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Polymorphism, Single Nucleotide / Genome-Wide Association Study / Panicum Language: En Journal: Planta Year: 2024 Document type: Article Affiliation country: Country of publication: