数字农科院2.0

Integrated Transcriptome and GWAS Analysis to Identify Candidate Genes for Ustilago maydis Resistance in Maize

文献类型： 外文期刊

作者： Bingyu Yin;Linjie Xu;Jianping Li;Yunxiao Zheng;Weibin Song;Peng Hou;Liying Zhu;Xiaoyan Jia;Yongfeng Zhao;Wei Song;Jinjie Guo

作者机构：

关键词： candidate genes;genome-wide association analysis;maize;transcriptome sequencing;Ustilago maydis

期刊名称： Agriculture (Switzerland)

ISSN： 2077-0472

年卷期： 2024 年 14 卷 6 期

页码：

收录情况： SCIE（2024版）

摘要： Maize Ustilago maydis is a disease that severely affects maize yield and quality. In this paper, we employed transcriptome sequencing and GWAS analysis to identify candidate genes and reveal disease-resistant germplasm resources, thereby laying the foundation for further analysis of the molecular mechanism of maize Ustilago maydis resistance and genetic improvement. The results of transcriptome sequencing revealed that a considerable number of receptor kinase genes, signal-transduction-related protein genes, redox-response-related genes, WRKYs, and P450s genes were significantly upregulated. There was a wide range of mutations of Ustilago maydis in maize inbred lines. Thirty-two high-resistance maize inbred lines were selected, and 16 SNPs were significantly associated with the disease index. By integrating the results of GWAS and RNA-seq, five genes related to disease resistance were identified, encoding the chitinase 1 protein, fatty acid elongase (FAE), IAA9, GATA TF8, and EREB94, respectively. It provides a certain reference for the cloning of maize anti-tumor smut genes and the breeding of new varieties.

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