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Genome-Wide Association Studies on the Kernel Row Number in a Multi-Parent Maize Population.
Wang, Yizhu; Ran, Fengyun; Yin, Xingfu; Jiang, Fuyan; Bi, Yaqi; Shaw, Ranjan K; Fan, Xingming.
Afiliación
  • Wang Y; College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming 650201, China.
  • Ran F; College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming 650201, China.
  • Yin X; Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China.
  • Jiang F; Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China.
  • Bi Y; Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China.
  • Shaw RK; Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China.
  • Fan X; Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China.
Int J Mol Sci ; 25(6)2024 Mar 16.
Article en En | MEDLINE | ID: mdl-38542350
ABSTRACT
Kernel row number (KRN) is a crucial trait in maize that directly influences yield; hence, understanding the mechanisms underlying KRN is vital for the development of high-yielding inbred lines and hybrids. We crossed four excellent panicle inbred lines (CML312, CML444, YML46, and YML32) with Ye107, and after eight generations of selfing, a multi-parent population was developed comprising four subpopulations, each consisting of 200 lines. KRN was accessed in five environments in Yunnan province over three years (2019, 2021, and 2022). The objectives of this study were to (1) identify quantitative trait loci and single nucleotide polymorphisms associated with KRN through linkage and genome-wide association analyses using high-quality genotypic data, (2) identify candidate genes regulating KRN by identifying co-localized QTLs and SNPs, and (3) explore the pathways involved in KRN formation and identify key candidate genes through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Our study successfully identified 277 significant Quantitative trait locus (QTLs) and 53 significant Single Nucleotide Polymorphism (SNPs) related to KRN. Based on gene expression, GO, and KEGG analyses, SNP-177304649, SNP-150393177, SNP-135283055, SNP-138554600, and SNP-120370778, which were highly likely to be associated with KRN, were identified. Seven novel candidate genes at this locus (Zm00001d022420, Zm00001d022421, Zm00001d016202, Zm00001d050984, Zm00001d050985, Zm00001d016000, and Zm00014a012929) are associated with KRN. Among these, Zm00014a012929 was identified using the reference genome Mo17. The remaining six genes were identified using the reference genome B73. To our knowledge, this is the first report on the association of these genes with KRN in maize. These findings provide a theoretical foundation and valuable insights into the genetic mechanisms underlying maize KRN and the development of high-yielding hybrids through heterosis.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Zea mays / Estudio de Asociación del Genoma Completo País/Región como asunto: Asia Idioma: En Revista: Int J Mol Sci Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Zea mays / Estudio de Asociación del Genoma Completo País/Región como asunto: Asia Idioma: En Revista: Int J Mol Sci Año: 2024 Tipo del documento: Article País de afiliación: China