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Identification of superior haplotypes in a diverse natural population for breeding desirable plant height in soybean.
Bhat, Javaid Akhter; Karikari, Benjamin; Adeboye, Kehinde Adewole; Ganie, Showkat Ahmad; Barmukh, Rutwik; Hu, Dezhou; Varshney, Rajeev K; Yu, Deyue.
Afiliação
  • Bhat JA; State Key Laboratory of Crop Genetics and Germplasm Enhancement, National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing, 210095, China. javid.akhter69@gmail.com.
  • Karikari B; International Genome Center, Jiangsu University, Zhenjiang, 212013, China. javid.akhter69@gmail.com.
  • Adeboye KA; Department of Crop Science, Faculty of Agriculture, Food and Consumer Sciences, University for Development Studies, Tamale, Ghana.
  • Ganie SA; Department of Agricultural Technology, Ekiti State Polytechnic, P. M. B. 1101, Isan, Nigeria.
  • Barmukh R; Department of Plant Science and Landscape Architecture, University of Connecticut, Storrs, USA.
  • Hu D; Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India.
  • Varshney RK; State Key Laboratory of Crop Genetics and Germplasm Enhancement, National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing, 210095, China.
  • Yu D; Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India. rajeev.varshney@murdoch.edu.au.
Theor Appl Genet ; 135(7): 2407-2422, 2022 Jul.
Article em En | MEDLINE | ID: mdl-35639109
ABSTRACT
KEY MESSAGE Plant height of soybean is associated with a haplotype block on chromosome 19, which classified 211 soybean accessions into five distinct groups showing significant differences for the target trait. Genetic variation is pivotal for crop improvement. Natural populations are precious genetic resources. However, efficient strategies for the targeted utilization of these resources for quantitative traits, such as plant height (PH), are scarce. Being an important agronomic trait associated with soybean yield and quality, it is imperative to unravel the genetic mechanisms underlying PH in soybean. Here, a genome-wide association study (GWAS) was performed to identify single nucleotide polymorphisms (SNPs) significantly associated with PH in a natural population of 211 cultivated soybeans, which was genotyped with NJAU 355 K Soy SNP Array and evaluated across six environments. A total of 128 SNPs distributed across 17 chromosomes were found to be significantly associated with PH across six environments and a combined environment. Three significant SNPs were consistently identified in at least three environments on Chr.02 (AX-93958260), Chr.17 (AX-94154834), and Chr.19 (AX-93897200). Genomic regions of ~ 130 kb flanking these three consistent SNPs were considered as stable QTLs, which included 169 genes. Of these, 22 genes (including Dt1) were prioritized and defined as putative candidates controlling PH. The genomic region flanking 12 most significant SNPs was in strong linkage disequilibrium (LD). These SNPs formed a single haplotype block containing five haplotypes for PH, namely Hap-A, Hap-B, Hap-C, Hap-D, and Hap-E. Deployment of such superior haplotypes in breeding programs will enable development of improved soybean varieties with desirable plant height.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Glycine max / Estudo de Associação Genômica Ampla Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Glycine max / Estudo de Associação Genômica Ampla Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article