ArticleFrontiers in plant science2022
Comparative transcriptome meta-analysis reveals a set of genes involved in the responses to multiple pathogens in maize.
Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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10 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Functional annotation and meta-analysis of maize transcriptomes reveal genes involved in biotic and abiotic stress.BMC genomics · 2024Pooled it
- Identification of biomarker genes from multiple studies for abiotic stress in maize through machine learning.Journal of biosciences · 2024Pooled it
- Identification of ZmGLN5, a candidate gene for resistance to Gibberella ear rot in maize.Molecular biology reports · 2026Article
- Genome-Wide Identification of the P-Type CaInternational journal of molecular sciences · 2026Article
- Chili Pepper-Rice Rotation Alleviates Continuous-Cropping Constraints by Improving Nutrient Availability and Suppressing Pathogens via Rhizosphere Network Rewiring.Plants (Basel, Switzerland) · 2026Article
- Inherited endurance: deciphering genetic associations of transgenerational and intergenerational heat stress memory in barley.Plant molecular biology · 2025Article
- Genome-Wide Identification and Characterization of Lignin Synthesis Genes in Maize.International journal of molecular sciences · 2024Article
- Grass lignin: biosynthesis, biological roles, and industrial applications.Frontiers in plant science · 2024Review
- Cell wall-related genes and lignin accumulation contribute to the root resistance in different maize (Frontiers in plant science · 2023Article
- Overexpression of the Sorghum CCoAOMT Gene Confers Enhanced Resistance to Sugarcane Aphids.Physiologia plantarumArticle
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Authors and funding
7 authors.
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Abstract
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.
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