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Transcriptomic analysis of genes in soybean in response to Peronospora manshurica infection

BACKGROUND: Soybean downy mildew (SDM), caused by Peronospora manshurica (Pm), is a major fungal disease in soybean. To date, little is known regarding the defense mechanism at molecular level and how soybean plants response to Pm infection. In this study, differential gene expression in SDM-resista...

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Autores principales: Dong, Hang, Shi, Shuangfeng, Zhang, Chong, Zhu, Sihui, Li, Mei, Tan, Jie, Yu, Yue, Lin, Liping, Jia, Shirong, Wang, Xujing, Wu, Yuanhua, Liu, Yuhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5960119/
https://www.ncbi.nlm.nih.gov/pubmed/29776333
http://dx.doi.org/10.1186/s12864-018-4741-7
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author Dong, Hang
Shi, Shuangfeng
Zhang, Chong
Zhu, Sihui
Li, Mei
Tan, Jie
Yu, Yue
Lin, Liping
Jia, Shirong
Wang, Xujing
Wu, Yuanhua
Liu, Yuhui
author_facet Dong, Hang
Shi, Shuangfeng
Zhang, Chong
Zhu, Sihui
Li, Mei
Tan, Jie
Yu, Yue
Lin, Liping
Jia, Shirong
Wang, Xujing
Wu, Yuanhua
Liu, Yuhui
author_sort Dong, Hang
collection PubMed
description BACKGROUND: Soybean downy mildew (SDM), caused by Peronospora manshurica (Pm), is a major fungal disease in soybean. To date, little is known regarding the defense mechanism at molecular level and how soybean plants response to Pm infection. In this study, differential gene expression in SDM-resistant (HR) and SDM-susceptible (HS) genotype was analyzed by RNA-seq to identify differentially expressed genes (DEGs) following Pm infection. RESULTS: Of a total of 55,017 genes mapped to the soybean reference genome sequences, 2581 DEGs were identified. Clustering analysis of DEGs revealed that these genes could be grouped into 8 clusters with distinct expression patterns. Functional annotation based on gene ontology (GO) and KEGG analysis indicated they involved in diverse metabolism pathways. Of particular interest were the detected DEGs participating in SA/ROS and JA signalling transduction and plant/pathogen interaction. CONCLUSION: Totally, 52 DEGs with P value < 0.001 and log(2) fold change > 2 or < − 2 upon fungal inoculation were identified, suggesting they were SDM defense responsive genes. These findings have paved way in further functional characterization of candidate genes and subsequently can be used in breeding of elite soybean varieties with better SDM-resistance. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4741-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-59601192018-05-24 Transcriptomic analysis of genes in soybean in response to Peronospora manshurica infection Dong, Hang Shi, Shuangfeng Zhang, Chong Zhu, Sihui Li, Mei Tan, Jie Yu, Yue Lin, Liping Jia, Shirong Wang, Xujing Wu, Yuanhua Liu, Yuhui BMC Genomics Research Article BACKGROUND: Soybean downy mildew (SDM), caused by Peronospora manshurica (Pm), is a major fungal disease in soybean. To date, little is known regarding the defense mechanism at molecular level and how soybean plants response to Pm infection. In this study, differential gene expression in SDM-resistant (HR) and SDM-susceptible (HS) genotype was analyzed by RNA-seq to identify differentially expressed genes (DEGs) following Pm infection. RESULTS: Of a total of 55,017 genes mapped to the soybean reference genome sequences, 2581 DEGs were identified. Clustering analysis of DEGs revealed that these genes could be grouped into 8 clusters with distinct expression patterns. Functional annotation based on gene ontology (GO) and KEGG analysis indicated they involved in diverse metabolism pathways. Of particular interest were the detected DEGs participating in SA/ROS and JA signalling transduction and plant/pathogen interaction. CONCLUSION: Totally, 52 DEGs with P value < 0.001 and log(2) fold change > 2 or < − 2 upon fungal inoculation were identified, suggesting they were SDM defense responsive genes. These findings have paved way in further functional characterization of candidate genes and subsequently can be used in breeding of elite soybean varieties with better SDM-resistance. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4741-7) contains supplementary material, which is available to authorized users. BioMed Central 2018-05-18 /pmc/articles/PMC5960119/ /pubmed/29776333 http://dx.doi.org/10.1186/s12864-018-4741-7 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
Dong, Hang
Shi, Shuangfeng
Zhang, Chong
Zhu, Sihui
Li, Mei
Tan, Jie
Yu, Yue
Lin, Liping
Jia, Shirong
Wang, Xujing
Wu, Yuanhua
Liu, Yuhui
Transcriptomic analysis of genes in soybean in response to Peronospora manshurica infection
title Transcriptomic analysis of genes in soybean in response to Peronospora manshurica infection
title_full Transcriptomic analysis of genes in soybean in response to Peronospora manshurica infection
title_fullStr Transcriptomic analysis of genes in soybean in response to Peronospora manshurica infection
title_full_unstemmed Transcriptomic analysis of genes in soybean in response to Peronospora manshurica infection
title_short Transcriptomic analysis of genes in soybean in response to Peronospora manshurica infection
title_sort transcriptomic analysis of genes in soybean in response to peronospora manshurica infection
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5960119/
https://www.ncbi.nlm.nih.gov/pubmed/29776333
http://dx.doi.org/10.1186/s12864-018-4741-7
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