Joint-GWAS, Linkage Mapping, and Transcriptome Analysis to Reveal the Genetic Basis of Plant Architecture-Related Traits in Maize
文献类型： 外文期刊
作者： Lu, Xuefeng 1 ; Liu, Pengfei 1 ; Tu, Liang 1 ; Guo, Xiangyang 1 ; Wang, Angui 1 ; Zhu, Yunfang 1 ; Jiang, Yulin 1 ; Zhang, Chunlan 1 ; Xu, Yan 1 ; Chen, Zehui 1 ; Wu, Xun 1 ;
作者机构： 1.Guizhou Acad Agr Sci, Inst Upland Food Crops, Guiyang 550006, Peoples R China
2.Minist Agr & Rural Affairs, Key Lab Crop Genet Resources & Germplasm Innovat K, Guiyang 550006, Peoples R China
关键词： maize (Zea mays L.); plant architecture; linkage mapping; QTL; candidate gene
期刊名称：INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES （ 影响因子：5.6； 五年影响因子：6.2 ）
ISSN： 1661-6596
年卷期： 2024 年 25 卷 5 期
页码：
收录情况： SCI
摘要： Plant architecture is one of the key factors affecting maize yield formation and can be divided into secondary traits, such as plant height (PH), ear height (EH), and leaf number (LN). It is a viable approach for exploiting genetic resources to improve plant density. In this study, one natural panel of 226 inbred lines and 150 family lines derived from the offspring of T32 crossed with Qi319 were genotyped by using the MaizeSNP50 chip and the genotyping by sequence (GBS) method and phenotyped under three different environments. Based on the results, a genome-wide association study (GWAS) and linkage mapping were analyzed by using the MLM and ICIM models, respectively. The results showed that 120 QTNs (quantitative trait nucleotides) and 32 QTL (quantitative trait loci) related to plant architecture were identified, including four QTL and 40 QTNs of PH, eight QTL and 41 QTNs of EH, and 20 QTL and 39 QTNs of LN. One dominant QTL, qLN7-2, was identified in the Zhangye environment. Six QTNs were commonly identified to be related to PH, EH, and LN in different environments. The candidate gene analysis revealed that Zm00001d021574 was involved in regulating plant architecture traits through the autophagy pathway, and Zm00001d044730 was predicted to interact with the male sterility-related gene ms26. These results provide abundant genetic resources for improving maize plant architecture traits by using approaches to biological breeding.
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