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Genome-wide association study uncovers genomic regions associated with grain iron, zinc and protein content in pearl millet.
- Source :
-
Scientific reports [Sci Rep] 2020 Nov 10; Vol. 10 (1), pp. 19473. Date of Electronic Publication: 2020 Nov 10. - Publication Year :
- 2020
-
Abstract
- Pearl millet hybrids biofortified with iron (Fe) and zinc (Zn) promise to be part of a long-term strategy to combat micronutrient malnutrition in the arid and semi-arid tropical (SAT) regions of the world. Biofortification through molecular breeding is the way forward to achieving a rapid trait-based breeding strategy. This genome-wide association study (GWAS) was conducted to identify significant marker-trait associations (MTAs) for Fe, Zn, and protein content (PC) for enhanced biofortification breeding. A diverse panel of 281 advanced inbred lines was evaluated for Fe, Zn, and PC over two seasons. Phenotypic evaluation revealed high variability (Fe: 32-120 mg kg <superscript>-1</superscript> , Zn: 19-87 mg kg <superscript>-1</superscript> , PC: 8-16%), heritability (h <subscript>bs</subscript> <superscript>2</superscript> ≥ 90%) and significantly positive correlation among Fe, Zn and PC (P = 0.01), implying concurrent improvement. Based on the Diversity Arrays Technology (DArT) seq assay, 58,719 highly informative SNPs were filtered for association mapping. Population structure analysis showed six major genetic groups (K = 6). A total of 78 MTAs were identified, of which 18 were associated with Fe, 43 with Zn, and 17 with PC. Four SNPs viz., Pgl04&#95;64673688, Pgl05&#95;135500493, Pgl05&#95;144482656, and Pgl07&#95;101483782 located on chromosomes Pgl04 (1), Pgl05 (2) and Pgl07 (1), respectively were co-segregated for Fe and Zn. Promising genes, 'Late embryogenesis abundant protein', 'Myb domain', 'pentatricopeptide repeat', and 'iron ion binding' coded by 8 SNPs were identified. The SNPs/genes identified in the present study presents prospects for genomics assisted biofortification breeding in pearl millet.
- Subjects :
- Algorithms
Chromosome Mapping methods
Chromosomes, Plant genetics
Edible Grain metabolism
Genomics methods
Genotype
Linkage Disequilibrium
Models, Genetic
Pennisetum classification
Pennisetum metabolism
Plant Breeding methods
Plant Proteins metabolism
Polymorphism, Single Nucleotide
Edible Grain genetics
Genome, Plant genetics
Genome-Wide Association Study methods
Iron metabolism
Pennisetum genetics
Plant Proteins genetics
Zinc metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 2045-2322
- Volume :
- 10
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Scientific reports
- Publication Type :
- Academic Journal
- Accession number :
- 33173120
- Full Text :
- https://doi.org/10.1038/s41598-020-76230-y