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

Authors :
Yin, Bingyu
Xu, Linjie
Li, Jianping
Zheng, Yunxiao
Song, Weibin
Hou, Peng
Zhu, Liying
Jia, Xiaoyan
Zhao, Yongfeng
Song, Wei
Guo, Jinjie
Source :
Agriculture; Basel; Jun2024, Vol. 14 Issue 6, p958, 24p
Publication Year :
2024

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20770472
Volume :
14
Issue :
6
Database :
Complementary Index
Journal :
Agriculture; Basel
Publication Type :
Academic Journal
Accession number :
178155177
Full Text :
https://doi.org/10.3390/agriculture14060958