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Association mapping reveals novel genes and genomic regions controlling grain size architecture in mini core accessions of Indian National Genebank wheat germplasm collection.
Kumari, Jyoti; Lakhwani, Deepika; Jakhar, Preeti; Sharma, Shivani; Tiwari, Shailesh; Mittal, Shikha; Avashthi, Himanshu; Shekhawat, Neelam; Singh, Kartar; Mishra, Kaushlesh Kumar; Singh, Rakesh; Yadav, Mahesh C; Singh, Gyanendra Pratap; Singh, Amit Kumar.
Afiliação
  • Kumari J; ICAR-National Bureau of Plant Genetic Resources, New Delhi, India.
  • Lakhwani D; ICAR-National Bureau of Plant Genetic Resources, New Delhi, India.
  • Jakhar P; ICAR-National Bureau of Plant Genetic Resources, New Delhi, India.
  • Sharma S; ICAR-National Bureau of Plant Genetic Resources, New Delhi, India.
  • Tiwari S; ICAR-National Bureau of Plant Genetic Resources, New Delhi, India.
  • Mittal S; ICAR-National Bureau of Plant Genetic Resources, New Delhi, India.
  • Avashthi H; Jaypee University of Information Technology, Solan, India.
  • Shekhawat N; ICAR-National Bureau of Plant Genetic Resources, New Delhi, India.
  • Singh K; ICAR-National Bureau of Plant Genetic Resources, Regional Station, Jodhpur, Jodhpur, India.
  • Mishra KK; ICAR-National Bureau of Plant Genetic Resources, Regional Station, Jodhpur, Jodhpur, India.
  • Singh R; Zonal Agricultural Research Station, Powarkheda, India.
  • Yadav MC; ICAR-National Bureau of Plant Genetic Resources, New Delhi, India.
  • Singh GP; ICAR-National Bureau of Plant Genetic Resources, New Delhi, India.
  • Singh AK; ICAR-National Bureau of Plant Genetic Resources, New Delhi, India.
Front Plant Sci ; 14: 1148658, 2023.
Article em En | MEDLINE | ID: mdl-37457353
Wheat (Triticum aestivum L.) is a staple food crop for the global human population, and thus wheat breeders are consistently working to enhance its yield worldwide. In this study, we utilized a sub-set of Indian wheat mini core germplasm to underpin the genetic architecture for seed shape-associated traits. The wheat mini core subset (125 accessions) was genotyped using 35K SNP array and evaluated for grain shape traits such as grain length (GL), grain width (GW), grain length, width ratio (GLWR), and thousand grain weight (TGW) across the seven different environments (E1, E2, E3, E4, E5, E5, E6, and E7). Marker-trait associations were determined using a multi-locus random-SNP-effect Mixed Linear Model (mrMLM) program. A total of 160 non-redundant quantitative trait nucleotides (QTNs) were identified for four grain shape traits using two or more GWAS models. Among these 160 QTNs, 27, 36, 38, and 35 QTNs were associated for GL, GW, GLWR, and TGW respectively while 24 QTNs were associated with more than one trait. Of these 160 QTNs, 73 were detected in two or more environments and were considered reliable QTLs for the respective traits. A total of 135 associated QTNs were annotated and located within the genes, including ABC transporter, Cytochrome450, Thioredoxin_M-type, and hypothetical proteins. Furthermore, the expression pattern of annotated QTNs demonstrated that only 122 were differentially expressed, suggesting these could potentially be related to seed development. The genomic regions/candidate genes for grain size traits identified in the present study represent valuable genomic resources that can potentially be utilized in the markers-assisted breeding programs to develop high-yielding varieties.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article