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Genetic architecture of ear traits based on association mapping and co-expression networks in maize inbred lines and hybrids.
Li, Ting; Yang, Haoxiang; Zhang, Xiaojun; Zhu, Liangjia; Zhang, Jun; Wei, Ningning; Li, Ranran; Dong, Yuan; Feng, Zhiqian; Zhang, Xinghua; Xue, Jiquan; Xu, Shutu.
Afiliación
  • Li T; The Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, College of Agronomy, Northwest A&F University, Yangling, 712100 Shaanxi China.
  • Yang H; Maize Engineering Technology Research Centre of Shaanxi Province, Yangling, 712100 Shaanxi China.
  • Zhang X; The Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, College of Agronomy, Northwest A&F University, Yangling, 712100 Shaanxi China.
  • Zhu L; Maize Engineering Technology Research Centre of Shaanxi Province, Yangling, 712100 Shaanxi China.
  • Zhang J; The Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, College of Agronomy, Northwest A&F University, Yangling, 712100 Shaanxi China.
  • Wei N; Maize Engineering Technology Research Centre of Shaanxi Province, Yangling, 712100 Shaanxi China.
  • Li R; The Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, College of Agronomy, Northwest A&F University, Yangling, 712100 Shaanxi China.
  • Dong Y; Maize Engineering Technology Research Centre of Shaanxi Province, Yangling, 712100 Shaanxi China.
  • Feng Z; The Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, College of Agronomy, Northwest A&F University, Yangling, 712100 Shaanxi China.
  • Zhang X; Maize Engineering Technology Research Centre of Shaanxi Province, Yangling, 712100 Shaanxi China.
  • Xue J; The Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, College of Agronomy, Northwest A&F University, Yangling, 712100 Shaanxi China.
  • Xu S; Maize Engineering Technology Research Centre of Shaanxi Province, Yangling, 712100 Shaanxi China.
Mol Breed ; 43(11): 78, 2023 Nov.
Article en En | MEDLINE | ID: mdl-37928364
Ear traits are key contributors to grain yield in maize; therefore, exploring their genetic basis facilitates the improvement of grain yield. However, the underlying molecular mechanisms of ear traits remain obscure in both inbred lines and hybrids. Here, two association panels, respectively, comprising 203 inbred lines (IP) and 246 F1 hybrids (HP) were employed to identify candidate genes for six ear traits. The IP showed higher phenotypic variation and lower phenotypic mean than the HP for all traits, except ear tip-barrenness length. By conducting a genome-wide association study (GWAS) across multiple environments, 101 and 228 significant single-nucleotide polymorphisms (SNPs) associated with six ear traits were identified in the IP and HP, respectively. Of these significant SNPs identified in the HP, most showed complete-incomplete dominance and over-dominance effects for each ear trait. Combining a gene co-expression network with GWAS results, 186 and 440 candidate genes were predicted in the IP and HP, respectively, including known ear development genes ids1 and sid1. Of these, nine candidate genes were detected in both populations and expressed in maize ear and spikelet tissues. Furthermore, two key shared genes (GRMZM2G143330 and GRMZM2G171139) in both populations were found to be significantly associated with ear traits in the maize Goodman diversity panel with high-density variations. These findings advance our knowledge of the genetic architecture of ear traits between inbred lines and hybrids and provide a valuable resource for the genetic improvement of ear traits in maize. Supplementary Information: The online version contains supplementary material available at 10.1007/s11032-023-01426-9.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Mol Breed Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Mol Breed Año: 2023 Tipo del documento: Article
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