Literature DB >> 20353961

Targeted metabolic reconstruction: a novel approach for the characterization of plant-pathogen interactions.

Andrés Pinzón1, Luis M Rodriguez-R, Andrés González, Adriana Bernal, Silvia Restrepo.   

Abstract

Genome-scale metabolic reconstruction (GEMR), along with flux balance analysis, has been widely used to study complex metabolic networks in several microbial organisms. This approach is of particular applicability in biological systems where the lack of kinetics data is typical. This is the case of plant-pathogen interactions, where these methods open the possibility of studying host metabolic network phenotype during the interaction with pathogens. Since GEMRs are based on sequenced genomes, its applicability to organisms where genomic information is lacking is limited. Here we describe an alternative approach to GEMR: targeted metabolic reconstruction, where network reconstruction is guided by transcriptomic data instead of genomic information. This approach is being applied successfully in our laboratory for the Phytophthora infestans--Solanum tuberosum pathosystem.

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Year:  2010        PMID: 20353961     DOI: 10.1093/bib/bbq009

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  6 in total

1.  The zigzag model of plant-microbe interactions: is it time to move on?

Authors:  Leighton Pritchard; Paul R J Birch
Journal:  Mol Plant Pathol       Date:  2014-12       Impact factor: 5.663

2.  The Metabolic Interplay between Plants and Phytopathogens.

Authors:  Guangyou Duan; Nils Christian; Jens Schwachtje; Dirk Walther; Oliver Ebenhöh
Journal:  Metabolites       Date:  2013-01-08

3.  Predicting genome-scale Arabidopsis-Pseudomonas syringae interactome using domain and interolog-based approaches.

Authors:  Sitanshu S Sahu; Tyler Weirick; Rakesh Kaundal
Journal:  BMC Bioinformatics       Date:  2014-10-21       Impact factor: 3.169

Review 4.  Plant Microbe Interactions in Post Genomic Era: Perspectives and Applications.

Authors:  Jahangir Imam; Puneet K Singh; Pratyoosh Shukla
Journal:  Front Microbiol       Date:  2016-09-26       Impact factor: 5.640

Review 5.  Network Analyses in Plant Pathogens.

Authors:  David Botero; Camilo Alvarado; Adriana Bernal; Giovanna Danies; Silvia Restrepo
Journal:  Front Microbiol       Date:  2018-01-30       Impact factor: 5.640

6.  Predicting protein-protein interactions between banana and Fusarium oxysporum f. sp. cubense race 4 integrating sequence and domain homologous alignment and neural network verification.

Authors:  Hui Fang; Cheng Zhong; Chunyan Tang
Journal:  Proteome Sci       Date:  2022-03-29       Impact factor: 2.480

  6 in total

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