Cargando…

The Symbiosis Interactome: a computational approach reveals novel components, functional interactions and modules in Sinorhizobium meliloti

BACKGROUND: Rhizobium-Legume symbiosis is an attractive biological process that has been studied for decades because of its importance in agriculture. However, this system has undergone extensive study and although many of the major factors underpinning the process have been discovered using traditi...

Descripción completa

Detalles Bibliográficos
Autores principales: Rodriguez-Llorente, Ignacio, Caviedes, Miguel A, Dary, Mohammed, Palomares, Antonio J, Cánovas, Francisco M, Peregrín-Alvarez, José M
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2701930/
https://www.ncbi.nlm.nih.gov/pubmed/19531251
http://dx.doi.org/10.1186/1752-0509-3-63
_version_ 1782168719891365888
author Rodriguez-Llorente, Ignacio
Caviedes, Miguel A
Dary, Mohammed
Palomares, Antonio J
Cánovas, Francisco M
Peregrín-Alvarez, José M
author_facet Rodriguez-Llorente, Ignacio
Caviedes, Miguel A
Dary, Mohammed
Palomares, Antonio J
Cánovas, Francisco M
Peregrín-Alvarez, José M
author_sort Rodriguez-Llorente, Ignacio
collection PubMed
description BACKGROUND: Rhizobium-Legume symbiosis is an attractive biological process that has been studied for decades because of its importance in agriculture. However, this system has undergone extensive study and although many of the major factors underpinning the process have been discovered using traditional methods, much remains to be discovered. RESULTS: Here we present an analysis of the 'Symbiosis Interactome' using novel computational methods in order to address the complex dynamic interactions between proteins involved in the symbiosis of the model bacteria Sinorhizobium meliloti with its plant hosts. Our study constitutes the first large-scale analysis attempting to reconstruct this complex biological process, and to identify novel proteins involved in establishing symbiosis. We identified 263 novel proteins potentially associated with the Symbiosis Interactome. The topology of the Symbiosis Interactome was used to guide experimental techniques attempting to validate novel proteins involved in different stages of symbiosis. The contribution of a set of novel proteins was tested analyzing the symbiotic properties of several S. meliloti mutants. We found mutants with altered symbiotic phenotypes suggesting novel proteins that provide key complementary roles for symbiosis. CONCLUSION: Our 'systems-based model' represents a novel framework for studying host-microbe interactions, provides a theoretical basis for further experimental validations, and can also be applied to the study of other complex processes such as diseases.
format Text
id pubmed-2701930
institution National Center for Biotechnology Information
language English
publishDate 2009
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-27019302009-06-26 The Symbiosis Interactome: a computational approach reveals novel components, functional interactions and modules in Sinorhizobium meliloti Rodriguez-Llorente, Ignacio Caviedes, Miguel A Dary, Mohammed Palomares, Antonio J Cánovas, Francisco M Peregrín-Alvarez, José M BMC Syst Biol Research Article BACKGROUND: Rhizobium-Legume symbiosis is an attractive biological process that has been studied for decades because of its importance in agriculture. However, this system has undergone extensive study and although many of the major factors underpinning the process have been discovered using traditional methods, much remains to be discovered. RESULTS: Here we present an analysis of the 'Symbiosis Interactome' using novel computational methods in order to address the complex dynamic interactions between proteins involved in the symbiosis of the model bacteria Sinorhizobium meliloti with its plant hosts. Our study constitutes the first large-scale analysis attempting to reconstruct this complex biological process, and to identify novel proteins involved in establishing symbiosis. We identified 263 novel proteins potentially associated with the Symbiosis Interactome. The topology of the Symbiosis Interactome was used to guide experimental techniques attempting to validate novel proteins involved in different stages of symbiosis. The contribution of a set of novel proteins was tested analyzing the symbiotic properties of several S. meliloti mutants. We found mutants with altered symbiotic phenotypes suggesting novel proteins that provide key complementary roles for symbiosis. CONCLUSION: Our 'systems-based model' represents a novel framework for studying host-microbe interactions, provides a theoretical basis for further experimental validations, and can also be applied to the study of other complex processes such as diseases. BioMed Central 2009-06-16 /pmc/articles/PMC2701930/ /pubmed/19531251 http://dx.doi.org/10.1186/1752-0509-3-63 Text en Copyright © 2009 Rodriguez-Llorente et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Rodriguez-Llorente, Ignacio
Caviedes, Miguel A
Dary, Mohammed
Palomares, Antonio J
Cánovas, Francisco M
Peregrín-Alvarez, José M
The Symbiosis Interactome: a computational approach reveals novel components, functional interactions and modules in Sinorhizobium meliloti
title The Symbiosis Interactome: a computational approach reveals novel components, functional interactions and modules in Sinorhizobium meliloti
title_full The Symbiosis Interactome: a computational approach reveals novel components, functional interactions and modules in Sinorhizobium meliloti
title_fullStr The Symbiosis Interactome: a computational approach reveals novel components, functional interactions and modules in Sinorhizobium meliloti
title_full_unstemmed The Symbiosis Interactome: a computational approach reveals novel components, functional interactions and modules in Sinorhizobium meliloti
title_short The Symbiosis Interactome: a computational approach reveals novel components, functional interactions and modules in Sinorhizobium meliloti
title_sort symbiosis interactome: a computational approach reveals novel components, functional interactions and modules in sinorhizobium meliloti
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2701930/
https://www.ncbi.nlm.nih.gov/pubmed/19531251
http://dx.doi.org/10.1186/1752-0509-3-63
work_keys_str_mv AT rodriguezllorenteignacio thesymbiosisinteractomeacomputationalapproachrevealsnovelcomponentsfunctionalinteractionsandmodulesinsinorhizobiummeliloti
AT caviedesmiguela thesymbiosisinteractomeacomputationalapproachrevealsnovelcomponentsfunctionalinteractionsandmodulesinsinorhizobiummeliloti
AT darymohammed thesymbiosisinteractomeacomputationalapproachrevealsnovelcomponentsfunctionalinteractionsandmodulesinsinorhizobiummeliloti
AT palomaresantonioj thesymbiosisinteractomeacomputationalapproachrevealsnovelcomponentsfunctionalinteractionsandmodulesinsinorhizobiummeliloti
AT canovasfranciscom thesymbiosisinteractomeacomputationalapproachrevealsnovelcomponentsfunctionalinteractionsandmodulesinsinorhizobiummeliloti
AT peregrinalvarezjosem thesymbiosisinteractomeacomputationalapproachrevealsnovelcomponentsfunctionalinteractionsandmodulesinsinorhizobiummeliloti
AT rodriguezllorenteignacio symbiosisinteractomeacomputationalapproachrevealsnovelcomponentsfunctionalinteractionsandmodulesinsinorhizobiummeliloti
AT caviedesmiguela symbiosisinteractomeacomputationalapproachrevealsnovelcomponentsfunctionalinteractionsandmodulesinsinorhizobiummeliloti
AT darymohammed symbiosisinteractomeacomputationalapproachrevealsnovelcomponentsfunctionalinteractionsandmodulesinsinorhizobiummeliloti
AT palomaresantonioj symbiosisinteractomeacomputationalapproachrevealsnovelcomponentsfunctionalinteractionsandmodulesinsinorhizobiummeliloti
AT canovasfranciscom symbiosisinteractomeacomputationalapproachrevealsnovelcomponentsfunctionalinteractionsandmodulesinsinorhizobiummeliloti
AT peregrinalvarezjosem symbiosisinteractomeacomputationalapproachrevealsnovelcomponentsfunctionalinteractionsandmodulesinsinorhizobiummeliloti