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

Abstract 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...

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Main Authors: Hang Dong, Shuangfeng Shi, Chong Zhang, Sihui Zhu, Mei Li, Jie Tan, Yue Yu, Liping Lin, Shirong Jia, Xujing Wang, Yuanhua Wu, Yuhui Liu
Format: Article
Language:English
Published: BMC 2018-05-01
Series:BMC Genomics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12864-018-4741-7
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author Hang Dong
Shuangfeng Shi
Chong Zhang
Sihui Zhu
Mei Li
Jie Tan
Yue Yu
Liping Lin
Shirong Jia
Xujing Wang
Yuanhua Wu
Yuhui Liu
author_facet Hang Dong
Shuangfeng Shi
Chong Zhang
Sihui Zhu
Mei Li
Jie Tan
Yue Yu
Liping Lin
Shirong Jia
Xujing Wang
Yuanhua Wu
Yuhui Liu
author_sort Hang Dong
collection DOAJ
description Abstract 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 log2 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.
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spelling doaj.art-577c575d8ae34787b1d69ed206e95e8b2022-12-22T03:52:07ZengBMCBMC Genomics1471-21642018-05-0119111310.1186/s12864-018-4741-7Transcriptomic analysis of genes in soybean in response to Peronospora manshurica infectionHang Dong0Shuangfeng Shi1Chong Zhang2Sihui Zhu3Mei Li4Jie Tan5Yue Yu6Liping Lin7Shirong Jia8Xujing Wang9Yuanhua Wu10Yuhui Liu11Biotechnology Research Institute, Chinese Academy of Agricultural SciencesBiotechnology Research Institute, Chinese Academy of Agricultural SciencesCollege of Plant Protection, Shenyang Agricultural UniversityBiotechnology Research Institute, Chinese Academy of Agricultural SciencesBiotechnology Research Institute, Chinese Academy of Agricultural SciencesBiotechnology Research Institute, Chinese Academy of Agricultural SciencesSchool of Biotechnology, East China University of Science and TechnologyBiotechnology Research Institute, Chinese Academy of Agricultural SciencesBiotechnology Research Institute, Chinese Academy of Agricultural SciencesBiotechnology Research Institute, Chinese Academy of Agricultural SciencesCollege of Plant Protection, Shenyang Agricultural UniversityBiotechnology Research Institute, Chinese Academy of Agricultural SciencesAbstract 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 log2 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.http://link.springer.com/article/10.1186/s12864-018-4741-7Soybean downy mildewRNA-seq analysisDifferentially expressed genesTranscription factorsDisease resistanceSoybean
spellingShingle Hang Dong
Shuangfeng Shi
Chong Zhang
Sihui Zhu
Mei Li
Jie Tan
Yue Yu
Liping Lin
Shirong Jia
Xujing Wang
Yuanhua Wu
Yuhui Liu
Transcriptomic analysis of genes in soybean in response to Peronospora manshurica infection
BMC Genomics
Soybean downy mildew
RNA-seq analysis
Differentially expressed genes
Transcription factors
Disease resistance
Soybean
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 Soybean downy mildew
RNA-seq analysis
Differentially expressed genes
Transcription factors
Disease resistance
Soybean
url http://link.springer.com/article/10.1186/s12864-018-4741-7
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