Construction of sRNA Regulatory Network for Magnaporthe oryzae Infecting Rice Based on Multi-Omics Data

Studies have shown that fungi cause plant diseases through cross-species RNA interference mechanism (RNAi) and secreted protein infection mechanism. The small RNAs (sRNAs) of Magnaporthe oryzae use the RNAi mechanism of rice to realize the infection process, and different effector proteins can incre...

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Autores principales:	Enshuang Zhao, Hao Zhang, Xueqing Li, Tianheng Zhao, Hengyi Zhao
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	Magnaporthe oryzae rice multi-omics sRNA protein machine learning Genetics QH426-470
Acceso en línea:	https://doaj.org/article/c817b180e4b54eb6ac6d1f207e3fbe1d
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spelling	oai:doaj.org-article:c817b180e4b54eb6ac6d1f207e3fbe1d2021-11-12T05:51:45ZConstruction of sRNA Regulatory Network for Magnaporthe oryzae Infecting Rice Based on Multi-Omics Data1664-802110.3389/fgene.2021.763915https://doaj.org/article/c817b180e4b54eb6ac6d1f207e3fbe1d2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fgene.2021.763915/fullhttps://doaj.org/toc/1664-8021Studies have shown that fungi cause plant diseases through cross-species RNA interference mechanism (RNAi) and secreted protein infection mechanism. The small RNAs (sRNAs) of Magnaporthe oryzae use the RNAi mechanism of rice to realize the infection process, and different effector proteins can increase the autotoxicity by inhibiting pathogen-associated molecular patterns triggered immunity (PTI) to achieve the purpose of infection. However, the coordination of sRNAs and proteins in the process of M. oryzae infecting rice is still poorly understood. Therefore, the combination of transcriptomics and proteomics to study the mechanism of M. oryzae infecting rice has important theoretical significance and practical value for controlling rice diseases and improving rice yields. In this paper, we used the high-throughput data of various omics before and after the M. oryzae infecting rice to screen differentially expressed genes and sRNAs and predict protein interaction pairs based on the interolog and the domain-domain methods. We were then used to construct a prediction model of the M. oryzae-rice interaction proteins according to the obtained proteins in the proteomic network. Finally, for the differentially expressed genes, differentially expressed sRNAs, the corresponding mRNAs of rice and M. oryzae, and the interacting protein molecules, the M. oryzae-rice sRNA regulatory network was built and analyzed, the core nodes were selected. The functional enrichment analysis was conducted to explore the potential effect pathways and the critical infection factors of M. oryzae sRNAs and proteins were mined and analyzed. The results showed that 22 sRNAs of M. oryzae, 77 secretory proteins of M. oryzae were used as effect factors to participate in the infection process of M. oryzae. And many significantly enriched GO modules were discovered, which were related to the infection mechanism of M. oryzae.Enshuang ZhaoHao ZhangHao ZhangXueqing LiTianheng ZhaoHengyi ZhaoFrontiers Media S.A.articleMagnaporthe oryzaericemulti-omicssRNAproteinmachine learningGeneticsQH426-470ENFrontiers in Genetics, Vol 12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Magnaporthe oryzae rice multi-omics sRNA protein machine learning Genetics QH426-470
spellingShingle	Magnaporthe oryzae rice multi-omics sRNA protein machine learning Genetics QH426-470 Enshuang Zhao Hao Zhang Hao Zhang Xueqing Li Tianheng Zhao Hengyi Zhao Construction of sRNA Regulatory Network for Magnaporthe oryzae Infecting Rice Based on Multi-Omics Data
description	Studies have shown that fungi cause plant diseases through cross-species RNA interference mechanism (RNAi) and secreted protein infection mechanism. The small RNAs (sRNAs) of Magnaporthe oryzae use the RNAi mechanism of rice to realize the infection process, and different effector proteins can increase the autotoxicity by inhibiting pathogen-associated molecular patterns triggered immunity (PTI) to achieve the purpose of infection. However, the coordination of sRNAs and proteins in the process of M. oryzae infecting rice is still poorly understood. Therefore, the combination of transcriptomics and proteomics to study the mechanism of M. oryzae infecting rice has important theoretical significance and practical value for controlling rice diseases and improving rice yields. In this paper, we used the high-throughput data of various omics before and after the M. oryzae infecting rice to screen differentially expressed genes and sRNAs and predict protein interaction pairs based on the interolog and the domain-domain methods. We were then used to construct a prediction model of the M. oryzae-rice interaction proteins according to the obtained proteins in the proteomic network. Finally, for the differentially expressed genes, differentially expressed sRNAs, the corresponding mRNAs of rice and M. oryzae, and the interacting protein molecules, the M. oryzae-rice sRNA regulatory network was built and analyzed, the core nodes were selected. The functional enrichment analysis was conducted to explore the potential effect pathways and the critical infection factors of M. oryzae sRNAs and proteins were mined and analyzed. The results showed that 22 sRNAs of M. oryzae, 77 secretory proteins of M. oryzae were used as effect factors to participate in the infection process of M. oryzae. And many significantly enriched GO modules were discovered, which were related to the infection mechanism of M. oryzae.
format	article
author	Enshuang Zhao Hao Zhang Hao Zhang Xueqing Li Tianheng Zhao Hengyi Zhao
author_facet	Enshuang Zhao Hao Zhang Hao Zhang Xueqing Li Tianheng Zhao Hengyi Zhao
author_sort	Enshuang Zhao
title	Construction of sRNA Regulatory Network for Magnaporthe oryzae Infecting Rice Based on Multi-Omics Data
title_short	Construction of sRNA Regulatory Network for Magnaporthe oryzae Infecting Rice Based on Multi-Omics Data
title_full	Construction of sRNA Regulatory Network for Magnaporthe oryzae Infecting Rice Based on Multi-Omics Data
title_fullStr	Construction of sRNA Regulatory Network for Magnaporthe oryzae Infecting Rice Based on Multi-Omics Data
title_full_unstemmed	Construction of sRNA Regulatory Network for Magnaporthe oryzae Infecting Rice Based on Multi-Omics Data
title_sort	construction of srna regulatory network for magnaporthe oryzae infecting rice based on multi-omics data
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/c817b180e4b54eb6ac6d1f207e3fbe1d
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_version_	1718431196550004736

Construction of sRNA Regulatory Network for Magnaporthe oryzae Infecting Rice Based on Multi-Omics Data

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