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Exploring the sorghum race level diversity utilizing 272 sorghum accessions genomic resources.
Ruperao, Pradeep; Gandham, Prasad; Odeny, Damaris A; Mayes, Sean; Selvanayagam, Sivasubramani; Thirunavukkarasu, Nepolean; Das, Roma R; Srikanda, Manasa; Gandhi, Harish; Habyarimana, Ephrem; Manyasa, Eric; Nebie, Baloua; Deshpande, Santosh P; Rathore, Abhishek.
Afiliação
  • Ruperao P; Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
  • Gandham P; School of Plant, Environmental and Soil Sciences, Louisiana State University Agricultural Center, LA, United States.
  • Odeny DA; Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
  • Mayes S; Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
  • Selvanayagam S; Wageningen University and Research, Wageningen, Netherlands.
  • Thirunavukkarasu N; Genomics and Molecular Breeding Lab, Indian Council of Agricultural Research (ICAR) - Indian Institute of Millets Research, Hyderabad, India.
  • Das RR; International Crops Research Institute for the Semi-Arid Tropics, Hyderabad, India.
  • Srikanda M; Department of Statistics, Osmania University, Hyderabad, India.
  • Gandhi H; International Maize and Wheat Improvement Center (CIMMYT), Nairobi, Kenya.
  • Habyarimana E; International Crops Research Institute for the Semi-Arid Tropics, Hyderabad, India.
  • Manyasa E; Sorghum Breeding Program, International Crops Research Institute for the Semi-Arid Tropics, Nairobi, Kenya.
  • Nebie B; International Maize and Wheat Improvement Center (CIMMYT), Dakar, Senegal.
  • Deshpande SP; Hytech Seed India Private Limited, Hyderabad, India.
  • Rathore A; Excellence in Breeding, International Maize and Wheat Improvement Center (CIMMYT), Hyderabad, India.
Front Plant Sci ; 14: 1143512, 2023.
Article em En | MEDLINE | ID: mdl-37008459
Due to evolutionary divergence, sorghum race populations exhibit significant genetic and morphological variation. A k-mer-based sorghum race sequence comparison identified the conserved k-mers of all 272 accessions from sorghum and the race-specific genetic signatures identified the gene variability in 10,321 genes (PAVs). To understand sorghum race structure, diversity and domestication, a deep learning-based variant calling approach was employed in a set of genotypic data derived from a diverse panel of 272 sorghum accessions. The data resulted in 1.7 million high-quality genome-wide SNPs and identified selective signature (both positive and negative) regions through a genome-wide scan with different (iHS and XP-EHH) statistical methods. We discovered 2,370 genes associated with selection signatures including 179 selective sweep regions distributed over 10 chromosomes. Co-localization of these regions undergoing selective pressure with previously reported QTLs and genes revealed that the signatures of selection could be related to the domestication of important agronomic traits such as biomass and plant height. The developed k-mer signatures will be useful in the future to identify the sorghum race and for trait and SNP markers for assisting in plant breeding programs.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article