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Transcriptome analysis reveals the molecular mechanisms of the defense response to gray leaf spot disease in maize

BACKGROUND: Gray 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 resistan...

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Autores principales: Yu, Yang, Shi, Jianyang, Li, Xiyang, Liu, Jian, Geng, Qi, Shi, Haichun, Ke, Yongpei, Sun, Qun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6180411/
https://www.ncbi.nlm.nih.gov/pubmed/30305015
http://dx.doi.org/10.1186/s12864-018-5072-4
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author Yu, Yang
Shi, Jianyang
Li, Xiyang
Liu, Jian
Geng, Qi
Shi, Haichun
Ke, Yongpei
Sun, Qun
author_facet Yu, Yang
Shi, Jianyang
Li, Xiyang
Liu, Jian
Geng, Qi
Shi, Haichun
Ke, Yongpei
Sun, Qun
author_sort Yu, Yang
collection PubMed
description BACKGROUND: Gray 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. RESULTS: Two 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. CONCLUSION: By 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5072-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-61804112018-10-18 Transcriptome analysis reveals the molecular mechanisms of the defense response to gray leaf spot disease in maize Yu, Yang Shi, Jianyang Li, Xiyang Liu, Jian Geng, Qi Shi, Haichun Ke, Yongpei Sun, Qun BMC Genomics Research Article BACKGROUND: Gray 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. RESULTS: Two 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. CONCLUSION: By 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5072-4) contains supplementary material, which is available to authorized users. BioMed Central 2018-10-11 /pmc/articles/PMC6180411/ /pubmed/30305015 http://dx.doi.org/10.1186/s12864-018-5072-4 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Yu, Yang
Shi, Jianyang
Li, Xiyang
Liu, Jian
Geng, Qi
Shi, Haichun
Ke, Yongpei
Sun, Qun
Transcriptome analysis reveals the molecular mechanisms of the defense response to gray leaf spot disease in maize
title Transcriptome analysis reveals the molecular mechanisms of the defense response to gray leaf spot disease in maize
title_full Transcriptome analysis reveals the molecular mechanisms of the defense response to gray leaf spot disease in maize
title_fullStr Transcriptome analysis reveals the molecular mechanisms of the defense response to gray leaf spot disease in maize
title_full_unstemmed Transcriptome analysis reveals the molecular mechanisms of the defense response to gray leaf spot disease in maize
title_short Transcriptome analysis reveals the molecular mechanisms of the defense response to gray leaf spot disease in maize
title_sort transcriptome analysis reveals the molecular mechanisms of the defense response to gray leaf spot disease in maize
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6180411/
https://www.ncbi.nlm.nih.gov/pubmed/30305015
http://dx.doi.org/10.1186/s12864-018-5072-4
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