Comparative transcriptome meta-analysis reveals a set of genes involved in the responses to multiple pathogens in maize

• Published in: Frontiers in plant science 2022-09, Vol.13, p.971371-971371
• Main Authors: Wang, Yapeng, Li, Ting, Sun, Zedan, Huang, Xiaojian, Yu, Naibing, Tai, Huanhuan, Yang, Qin
• Format: Article
• Language: English
• Subjects: differentially expressed genes (DEGs); maize; meta-analysis; multiple disease resistance; pathogens; Plant Science
• ISSN: 1664-462X; 1664-462X
• DOI: 10.3389/fpls.2022.971371

Maize production is constantly threatened by the presence of different fungal pathogens worldwide. Genetic resistance is the most favorable approach to reducing yield losses resulted from fungal diseases. The molecular mechanism underlying disease resistance in maize remains largely unknown. The objective of this study was to identify key genes/pathways that are consistently associated with multiple fungal pathogen infections in maize. Here, we conducted a meta-analysis of gene expression profiles from seven publicly available RNA-seq datasets of different fungal pathogen infections in maize. We identified 267 common differentially expressed genes (co-DEGs) in the four maize leaf infection experiments and 115 co-DEGs in all the seven experiments. Functional enrichment analysis showed that the co-DEGs were mainly involved in the biosynthesis of diterpenoid and phenylpropanoid. Further investigation revealed a set of genes associated with terpenoid phytoalexin and lignin biosynthesis, as well as potential pattern recognition receptors and nutrient transporter genes, which were consistently up-regulated after inoculation with different pathogens. In addition, we constructed a weighted gene co-expression network and identified several hub genes encoding transcription factors and protein kinases. Our results provide valuable insights into the pathways and genes influenced by different fungal pathogens, which might facilitate mining multiple disease resistance genes in maize.