Zhang Zongyu, Zheng Yuying, Zhang Junchao, Wang Na, Wang Yanrong, Liu Wenhui, Bai Shiqie, Xie Wengang
The State Key Laboratory of Grassland Agro-Ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
Institute of Qinghai-Tibetan Plateau, Southwest Minzu University, Chengdu, China.
Front Plant Sci. 2022 Jun 21;13:874409. doi: 10.3389/fpls.2022.874409. eCollection 2022.
The genetic adaptations to harsh climatic conditions in high altitudes and genetic basis of important agronomic traits are poorly understood in L. In this study, an association population of 210 genotypes was used for population structure, selective sweep analysis, and genome-wide association study (GWAS) based on 88,506 single nucleotide polymorphisms (SNPs). We found 965 alleles under the natural selection of high altitude, which included 7 hub genes involved in the response to UV, and flavonoid and anthocyanin biosynthetic process based on the protein-protein interaction (PPI) analysis. Using a mixed linear model (MLM), the GWAS test identified a total of 1,825 significant loci associated with 12 agronomic traits. Based on the gene expression data of two wheat cultivars and the PPI analysis, we finally identified 12 hub genes. Especially, in plant height traits, the top hub gene (TOPLESS protein) encoding auxins and jasmonic acid signaling pathway, shoot apical meristem specification, and xylem and phloem pattern formation was highly overexpressed. These genes might play essential roles in controlling the growth and development of . Therefore, this study provides fundamental insights relevant to hub genes and will benefit molecular breeding and improvement in and other species.
在L中,人们对其适应高海拔恶劣气候条件的遗传适应性以及重要农艺性状的遗传基础了解甚少。在本研究中,基于88,506个单核苷酸多态性(SNP),使用由210个基因型组成的关联群体进行群体结构分析、选择性清除分析和全基因组关联研究(GWAS)。我们发现了965个在高海拔自然选择下的等位基因,基于蛋白质-蛋白质相互作用(PPI)分析,其中包括7个参与紫外线响应以及类黄酮和花青素生物合成过程的核心基因。使用混合线性模型(MLM),GWAS测试共鉴定出1,825个与12个农艺性状相关的显著位点。基于两个小麦品种的基因表达数据和PPI分析,我们最终确定了12个核心基因。特别是在株高性状方面,编码生长素和茉莉酸信号通路、茎尖分生组织特化以及木质部和韧皮部模式形成的顶级核心基因(TOPLESS蛋白)高度过表达。这些基因可能在控制L的生长发育中发挥重要作用。因此,本研究为核心基因提供了基本见解,并将有利于L和其他相关物种的分子育种与改良。