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Network biology discovers pathogen contact points in host protein-protein interactomes
In all organisms, major biological processes are controlled by complex protein–protein interactions networks (interactomes), yet their structural complexity presents major analytical challenges. Here, we integrate a compendium of over 4300 phenotypes with Arabidopsis interactome (AI-1(MAIN)). We sho...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998135/ https://www.ncbi.nlm.nih.gov/pubmed/29899369 http://dx.doi.org/10.1038/s41467-018-04632-8 |
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author | Ahmed, Hadia Howton, T. C. Sun, Yali Weinberger, Natascha Belkhadir, Youssef Mukhtar, M. Shahid |
author_facet | Ahmed, Hadia Howton, T. C. Sun, Yali Weinberger, Natascha Belkhadir, Youssef Mukhtar, M. Shahid |
author_sort | Ahmed, Hadia |
collection | PubMed |
description | In all organisms, major biological processes are controlled by complex protein–protein interactions networks (interactomes), yet their structural complexity presents major analytical challenges. Here, we integrate a compendium of over 4300 phenotypes with Arabidopsis interactome (AI-1(MAIN)). We show that nodes with high connectivity and betweenness are enriched and depleted in conditional and essential phenotypes, respectively. Such nodes are located in the innermost layers of AI-1(MAIN) and are preferential targets of pathogen effectors. We extend these network-centric analyses to Cell Surface Interactome (CSI(LRR)) and predict its 35 most influential nodes. To determine their biological relevance, we show that these proteins physically interact with pathogen effectors and modulate plant immunity. Overall, our findings contrast with centrality-lethality rule, discover fast information spreading nodes, and highlight the structural properties of pathogen targets in two different interactomes. Finally, this theoretical framework could possibly be applicable to other inter-species interactomes to reveal pathogen contact points. |
format | Online Article Text |
id | pubmed-5998135 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-59981352018-06-14 Network biology discovers pathogen contact points in host protein-protein interactomes Ahmed, Hadia Howton, T. C. Sun, Yali Weinberger, Natascha Belkhadir, Youssef Mukhtar, M. Shahid Nat Commun Article In all organisms, major biological processes are controlled by complex protein–protein interactions networks (interactomes), yet their structural complexity presents major analytical challenges. Here, we integrate a compendium of over 4300 phenotypes with Arabidopsis interactome (AI-1(MAIN)). We show that nodes with high connectivity and betweenness are enriched and depleted in conditional and essential phenotypes, respectively. Such nodes are located in the innermost layers of AI-1(MAIN) and are preferential targets of pathogen effectors. We extend these network-centric analyses to Cell Surface Interactome (CSI(LRR)) and predict its 35 most influential nodes. To determine their biological relevance, we show that these proteins physically interact with pathogen effectors and modulate plant immunity. Overall, our findings contrast with centrality-lethality rule, discover fast information spreading nodes, and highlight the structural properties of pathogen targets in two different interactomes. Finally, this theoretical framework could possibly be applicable to other inter-species interactomes to reveal pathogen contact points. Nature Publishing Group UK 2018-06-13 /pmc/articles/PMC5998135/ /pubmed/29899369 http://dx.doi.org/10.1038/s41467-018-04632-8 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Ahmed, Hadia Howton, T. C. Sun, Yali Weinberger, Natascha Belkhadir, Youssef Mukhtar, M. Shahid Network biology discovers pathogen contact points in host protein-protein interactomes |
title | Network biology discovers pathogen contact points in host protein-protein interactomes |
title_full | Network biology discovers pathogen contact points in host protein-protein interactomes |
title_fullStr | Network biology discovers pathogen contact points in host protein-protein interactomes |
title_full_unstemmed | Network biology discovers pathogen contact points in host protein-protein interactomes |
title_short | Network biology discovers pathogen contact points in host protein-protein interactomes |
title_sort | network biology discovers pathogen contact points in host protein-protein interactomes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998135/ https://www.ncbi.nlm.nih.gov/pubmed/29899369 http://dx.doi.org/10.1038/s41467-018-04632-8 |
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