Advances in the elucidation of nuclear proteins in the model plant Arabidopsis thaliana: based on protein interactions and bioinformatics analysis

Plant protein–protein interaction (PPI) networks provide valuable information for the understanding of plant biological processes. In this study, we summarized and constructed the nuclear-protein interactome of Arabidopsis based on PPIs, and preliminarily analyzed the relationships among the main pa...

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Autores principales: Fangping Gong, Di Cao, Chengxin Qu, Dongmei Yin, Quanzhi Zhao, Erhui Xiong
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Lenguaje:EN
Publicado: Taylor & Francis Group 2021
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Acceso en línea:https://doaj.org/article/b3dc3e366ed54d229af2cb8b1d656a51
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spelling oai:doaj.org-article:b3dc3e366ed54d229af2cb8b1d656a512021-11-17T14:21:57ZAdvances in the elucidation of nuclear proteins in the model plant Arabidopsis thaliana: based on protein interactions and bioinformatics analysis1742-91451742-915310.1080/17429145.2021.1998681https://doaj.org/article/b3dc3e366ed54d229af2cb8b1d656a512021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/17429145.2021.1998681https://doaj.org/toc/1742-9145https://doaj.org/toc/1742-9153Plant protein–protein interaction (PPI) networks provide valuable information for the understanding of plant biological processes. In this study, we summarized and constructed the nuclear-protein interactome of Arabidopsis based on PPIs, and preliminarily analyzed the relationships among the main pathways involving these protein interactions. These proteins are involved mainly in the plant hormone signal transduction and plant-pathogen interaction, and these pathways are linked closely by co-pathway and nodal proteins. The key nodal proteins play important roles in communication among hormonal pathways. Further analysis revealed that all of these key nodal proteins were localized in multiple organelles. High-frequency protein multi-localization analysis suggested that the multi-location proteins may play key roles in organelle communication and plant growth. Thus, the screening and study of multi-location proteins may be an important research direction. Our findings can inform new research based on protein interactions and provide novel directions for plant proteome research.Fangping GongDi CaoChengxin QuDongmei YinQuanzhi ZhaoErhui XiongTaylor & Francis Grouparticlenucleusprotein–protein interactionkegg pathwayplant hormonesmulti-location proteinsmulti-functional proteinPlant cultureSB1-1110Plant ecologyQK900-989ENJournal of Plant Interactions, Vol 16, Iss 1, Pp 481-493 (2021)
institution DOAJ
collection DOAJ
language EN
topic nucleus
protein–protein interaction
kegg pathway
plant hormones
multi-location proteins
multi-functional protein
Plant culture
SB1-1110
Plant ecology
QK900-989
spellingShingle nucleus
protein–protein interaction
kegg pathway
plant hormones
multi-location proteins
multi-functional protein
Plant culture
SB1-1110
Plant ecology
QK900-989
Fangping Gong
Di Cao
Chengxin Qu
Dongmei Yin
Quanzhi Zhao
Erhui Xiong
Advances in the elucidation of nuclear proteins in the model plant Arabidopsis thaliana: based on protein interactions and bioinformatics analysis
description Plant protein–protein interaction (PPI) networks provide valuable information for the understanding of plant biological processes. In this study, we summarized and constructed the nuclear-protein interactome of Arabidopsis based on PPIs, and preliminarily analyzed the relationships among the main pathways involving these protein interactions. These proteins are involved mainly in the plant hormone signal transduction and plant-pathogen interaction, and these pathways are linked closely by co-pathway and nodal proteins. The key nodal proteins play important roles in communication among hormonal pathways. Further analysis revealed that all of these key nodal proteins were localized in multiple organelles. High-frequency protein multi-localization analysis suggested that the multi-location proteins may play key roles in organelle communication and plant growth. Thus, the screening and study of multi-location proteins may be an important research direction. Our findings can inform new research based on protein interactions and provide novel directions for plant proteome research.
format article
author Fangping Gong
Di Cao
Chengxin Qu
Dongmei Yin
Quanzhi Zhao
Erhui Xiong
author_facet Fangping Gong
Di Cao
Chengxin Qu
Dongmei Yin
Quanzhi Zhao
Erhui Xiong
author_sort Fangping Gong
title Advances in the elucidation of nuclear proteins in the model plant Arabidopsis thaliana: based on protein interactions and bioinformatics analysis
title_short Advances in the elucidation of nuclear proteins in the model plant Arabidopsis thaliana: based on protein interactions and bioinformatics analysis
title_full Advances in the elucidation of nuclear proteins in the model plant Arabidopsis thaliana: based on protein interactions and bioinformatics analysis
title_fullStr Advances in the elucidation of nuclear proteins in the model plant Arabidopsis thaliana: based on protein interactions and bioinformatics analysis
title_full_unstemmed Advances in the elucidation of nuclear proteins in the model plant Arabidopsis thaliana: based on protein interactions and bioinformatics analysis
title_sort advances in the elucidation of nuclear proteins in the model plant arabidopsis thaliana: based on protein interactions and bioinformatics analysis
publisher Taylor & Francis Group
publishDate 2021
url https://doaj.org/article/b3dc3e366ed54d229af2cb8b1d656a51
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AT chengxinqu advancesintheelucidationofnuclearproteinsinthemodelplantarabidopsisthalianabasedonproteininteractionsandbioinformaticsanalysis
AT dongmeiyin advancesintheelucidationofnuclearproteinsinthemodelplantarabidopsisthalianabasedonproteininteractionsandbioinformaticsanalysis
AT quanzhizhao advancesintheelucidationofnuclearproteinsinthemodelplantarabidopsisthalianabasedonproteininteractionsandbioinformaticsanalysis
AT erhuixiong advancesintheelucidationofnuclearproteinsinthemodelplantarabidopsisthalianabasedonproteininteractionsandbioinformaticsanalysis
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