Cargando…

Comparative transcriptome analysis reveals key pathways and regulatory networks in early resistance of Glycine max to soybean mosaic virus

As a high-value oilseed crop, soybean [Glycine max (L.) Merr.] is limited by various biotic stresses during its growth and development. Soybean mosaic virus (SMV) is a devastating viral infection of soybean that primarily affects young leaves and causes significant production and economic losses; ho...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Han, Liu, Jinyang, Yuan, Xingxing, Chen, Xin, Cui, Xiaoyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687721/
https://www.ncbi.nlm.nih.gov/pubmed/38033585
http://dx.doi.org/10.3389/fmicb.2023.1241076
_version_ 1785152031417171968
author Li, Han
Liu, Jinyang
Yuan, Xingxing
Chen, Xin
Cui, Xiaoyan
author_facet Li, Han
Liu, Jinyang
Yuan, Xingxing
Chen, Xin
Cui, Xiaoyan
author_sort Li, Han
collection PubMed
description As a high-value oilseed crop, soybean [Glycine max (L.) Merr.] is limited by various biotic stresses during its growth and development. Soybean mosaic virus (SMV) is a devastating viral infection of soybean that primarily affects young leaves and causes significant production and economic losses; however, the synergistic molecular mechanisms underlying the soybean response to SMV are largely unknown. Therefore, we performed RNA sequencing on SMV-infected resistant and susceptible soybean lines to determine the molecular mechanism of resistance to SMV. When the clean reads were aligned to the G. max reference genome, a total of 36,260 genes were identified as expressed genes and used for further research. Most of the differentially expressed genes (DEGs) associated with resistance were found to be enriched in plant hormone signal transduction and circadian rhythm according to Kyoto Encyclopedia of Genes and Genomes analysis. In addition to salicylic acid and jasmonic acid, which are well known in plant disease resistance, abscisic acid, indole-3-acetic acid, and cytokinin are also involved in the immune response to SMV in soybean. Most of the Ca(2+) signaling related DEGs enriched in plant-pathogen interaction negatively influence SMV resistance. Furthermore, the MAPK cascade was involved in either resistant or susceptible responses to SMV, depending on different downstream proteins. The phytochrome interacting factor-cryptochrome-R protein module and the MEKK3/MKK9/MPK7-WRKY33-CML/CDPK module were found to play essential roles in soybean response to SMV based on protein-protein interaction prediction. Our findings provide general insights into the molecular regulatory networks associated with soybean response to SMV and have the potential to improve legume resistance to viral infection.
format Online
Article
Text
id pubmed-10687721
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-106877212023-11-30 Comparative transcriptome analysis reveals key pathways and regulatory networks in early resistance of Glycine max to soybean mosaic virus Li, Han Liu, Jinyang Yuan, Xingxing Chen, Xin Cui, Xiaoyan Front Microbiol Microbiology As a high-value oilseed crop, soybean [Glycine max (L.) Merr.] is limited by various biotic stresses during its growth and development. Soybean mosaic virus (SMV) is a devastating viral infection of soybean that primarily affects young leaves and causes significant production and economic losses; however, the synergistic molecular mechanisms underlying the soybean response to SMV are largely unknown. Therefore, we performed RNA sequencing on SMV-infected resistant and susceptible soybean lines to determine the molecular mechanism of resistance to SMV. When the clean reads were aligned to the G. max reference genome, a total of 36,260 genes were identified as expressed genes and used for further research. Most of the differentially expressed genes (DEGs) associated with resistance were found to be enriched in plant hormone signal transduction and circadian rhythm according to Kyoto Encyclopedia of Genes and Genomes analysis. In addition to salicylic acid and jasmonic acid, which are well known in plant disease resistance, abscisic acid, indole-3-acetic acid, and cytokinin are also involved in the immune response to SMV in soybean. Most of the Ca(2+) signaling related DEGs enriched in plant-pathogen interaction negatively influence SMV resistance. Furthermore, the MAPK cascade was involved in either resistant or susceptible responses to SMV, depending on different downstream proteins. The phytochrome interacting factor-cryptochrome-R protein module and the MEKK3/MKK9/MPK7-WRKY33-CML/CDPK module were found to play essential roles in soybean response to SMV based on protein-protein interaction prediction. Our findings provide general insights into the molecular regulatory networks associated with soybean response to SMV and have the potential to improve legume resistance to viral infection. Frontiers Media S.A. 2023-10-19 /pmc/articles/PMC10687721/ /pubmed/38033585 http://dx.doi.org/10.3389/fmicb.2023.1241076 Text en Copyright © 2023 Li, Liu, Yuan, Chen and Cui. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Li, Han
Liu, Jinyang
Yuan, Xingxing
Chen, Xin
Cui, Xiaoyan
Comparative transcriptome analysis reveals key pathways and regulatory networks in early resistance of Glycine max to soybean mosaic virus
title Comparative transcriptome analysis reveals key pathways and regulatory networks in early resistance of Glycine max to soybean mosaic virus
title_full Comparative transcriptome analysis reveals key pathways and regulatory networks in early resistance of Glycine max to soybean mosaic virus
title_fullStr Comparative transcriptome analysis reveals key pathways and regulatory networks in early resistance of Glycine max to soybean mosaic virus
title_full_unstemmed Comparative transcriptome analysis reveals key pathways and regulatory networks in early resistance of Glycine max to soybean mosaic virus
title_short Comparative transcriptome analysis reveals key pathways and regulatory networks in early resistance of Glycine max to soybean mosaic virus
title_sort comparative transcriptome analysis reveals key pathways and regulatory networks in early resistance of glycine max to soybean mosaic virus
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687721/
https://www.ncbi.nlm.nih.gov/pubmed/38033585
http://dx.doi.org/10.3389/fmicb.2023.1241076
work_keys_str_mv AT lihan comparativetranscriptomeanalysisrevealskeypathwaysandregulatorynetworksinearlyresistanceofglycinemaxtosoybeanmosaicvirus
AT liujinyang comparativetranscriptomeanalysisrevealskeypathwaysandregulatorynetworksinearlyresistanceofglycinemaxtosoybeanmosaicvirus
AT yuanxingxing comparativetranscriptomeanalysisrevealskeypathwaysandregulatorynetworksinearlyresistanceofglycinemaxtosoybeanmosaicvirus
AT chenxin comparativetranscriptomeanalysisrevealskeypathwaysandregulatorynetworksinearlyresistanceofglycinemaxtosoybeanmosaicvirus
AT cuixiaoyan comparativetranscriptomeanalysisrevealskeypathwaysandregulatorynetworksinearlyresistanceofglycinemaxtosoybeanmosaicvirus