ArticleBMC genomics2018
Transcriptome analysis reveals the molecular mechanisms of the defense response to gray leaf spot disease in maize.
Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 53 citations in OpenAlex.
- Mining of candidate genes regulating Gray leaf spot resistance in maize through integrative biological analysis.Molecular genetics and genomics : MGG · 2026Article
- Contrasting Response of Santina and Bing Sweet Cherry Cultivars Under Combined Biotic and Abiotic Stress.Plants (Basel, Switzerland) · 2026Article
- A hypersensitive response-like lesion-inducing protein modulates basal immunity against grey leaf spot in maize.Plant biotechnology journal · 2025Article
- Comparative transcriptome profiling and co-expression network analysis reveals important genes regulating maize response to Southern corn rust.BMC plant biology · 2025Article
- Comparative transcriptome and genome analysis between susceptible Zhefang rice variety Diantun 502 and its resistance variety Diantun 506 upon Magnaporthe oryzae infection.BMC plant biology · 2025Article
- A MaizeInternational journal of molecular sciences · 2025Article
- Insights into mungbean defense response to Cercospora leaf spot based on transcriptome analysis.Scientific reports · 2025Article
- Roles of maizeFrontiers in plant science · 2025Article
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- QTL mapping and genome-wide association analysis reveal genetic loci and candidate gene for resistance to gray leaf spot in tropical and subtropical maize germplasm.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Article
- Quantitative trait locus analysis of gray leaf spot resistance in the maize IBM Syn10 DH population.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Article
- Comparative Transcriptomics Analysis Reveals the Differences in Transcription between Resistant and Susceptible Pepper (Plants (Basel, Switzerland) · 2024Article
- Physiological Mechanisms Underlying Tassel Symptom Formation in Maize Infected withPlants (Basel, Switzerland) · 2024Article
- Beneficial Microorganisms as Bioprotectants against Foliar Diseases of Cereals: A Review.Plants (Basel, Switzerland) · 2023Review
- Mining of Minor Disease Resistance Genes inInternational journal of molecular sciences · 2023Article
- Molecular Links between Flowering and Abiotic Stress Response: A Focus onPlants (Basel, Switzerland) · 2023Review
- Cell wall-related genes and lignin accumulation contribute to the root resistance in different maize (Frontiers in plant science · 2023Article
- Transcriptomic Analysis to Unravel Potential Pathways and Genes Involved in Pecan (International journal of molecular sciences · 2022Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundGray leaf spot (GLS), which is caused by the necrotrophic fungi Cercospora zeae-maydis and Cercospora zeina, is one of the most impactful diseases in maize worldwide. The aim of the present study is to identify the resistance genes and understand the molecular mechanisms for GLS resistance.
resultsTwo cultivars, 'Yayu889' and 'Zhenghong532,' which are distinguished as resistant and susceptible cultivars, respectively, were challenged with the GLS disease and a RNA-seq experiment was conducted on infected plants at 81, 89, 91, and 93 days post planting (dap). Compared with the beginning stage at 81 dap, 4666, 1733, and 1166 differentially expressed genes (DEGs) were identified at 89, 91, and 93 dap, respectively, in 'Yayu889,' while relatively fewer, i.e., 4713, 881, and 722 DEGs, were identified in 'Zhenghong532.' Multiple pathways involved in the response of maize to GLS, including 'response to salicylic acid,' 'protein phosphorylation,' 'oxidation-reduction process,' and 'carotenoid biosynthetic process,' were enriched by combining differential expression analysis and Weighted Gene Co-expression Network Analysis (WGCNA). The expression of 12 candidate resistance proteins in these pathways were quantified by the multiple reaction monitoring (MRM) method. This approach identified two candidate resistance proteins, a calmodulin-like protein and a leucine-rich repeat receptor-like protein kinase with SNPs that were located in QTL regions for GLS resistance. Metabolic analysis showed that, compared with 'Zhenghong532,' the amount of salicylic acid (SA) and total carotenoids in 'Yayu889' increased, while peroxidase activity decreased during the early infection stages, suggesting that increased levels of SA, carotenoids, and reactive oxygen species (ROS) may enhance the defense response of 'Yayu889' to GLS.
conclusionBy combining transcriptome and proteome analyses with comparisons of resistance QTL regions, calmodulin-like protein and leucine-rich repeat receptor-like protein kinase were identified as candidate GLS resistance proteins. Moreover, we found that the metabolic pathways for ROS, SA, and carotenoids are especially active in the resistant cultivar. These findings could lead to a better understanding of the GLS resistance mechanisms and facilitate the breeding of GLS-resistant maize cultivars.
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