Models

Dataset Information

0

Islam2010_Dehalococcoides_Metabolism


ABSTRACT: This is metabolic network reconstruction of Dehalococcoides , iAI549, described in the article Characterizing the metabolism of dehalococcoides with a constraint-based model. Ahsanul Islam M, Edwards EA, Mahadevan R. PLoS Comput Biol. 2010 Aug 19;6(8). pii: e1000887. PMID: 20811585 , DOI: 10.1371/journal.pcbi.1000887 Abstract: Dehalococcoides strains respire a wide variety of chloro-organic compounds and are important for the bioremediation of toxic, persistent, carcinogenic, and ubiquitous ground water pollutants. In order to better understand metabolism and optimize their application, we have developed a pan-genome-scale metabolic network and constraint-based metabolic model of Dehalococcoides. The pan-genome was constructed from publicly available complete genome sequences of Dehalococcoides sp. strain CBDB1, strain 195, strain BAV1, and strain VS. We found that Dehalococcoides pan-genome consisted of 1118 core genes (shared by all), 457 dispensable genes (shared by some), and 486 unique genes (found in only one genome). The model included 549 metabolic genes that encoded 356 proteins catalyzing 497 gene-associated model reactions. Of these 497 reactions, 477 were associated with core metabolic genes, 18 with dispensable genes, and 2 with unique genes. This study, in addition to analyzing the metabolism of an environmentally important phylogenetic group on a pan-genome scale, provides valuable insights into Dehalococcoides metabolic limitations, low growth yields, and energy conservation. The model also provides a framework to anchor and compare disparate experimental data, as well as to give insights on the physiological impact of "incomplete" pathways, such as the TCA-cycle, CO(2) fixation, and cobalamin biosynthesis pathways. The model, referred to as iAI549, highlights the specialized and highly conserved nature of Dehalococcoides metabolism, and suggests that evolution of Dehalococcoides species is driven by the electron acceptor availability. This model was downloaded from the supplementary materials to the article. This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not.. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

SUBMITTER: Lukas Endler  

PROVIDER: MODEL1011080003 | BioModels | 2005-01-01

REPOSITORIES: BioModels

altmetric image

Publications

Characterizing the metabolism of Dehalococcoides with a constraint-based model.

Ahsanul Islam M M   Edwards Elizabeth A EA   Mahadevan Radhakrishnan R  

PLoS computational biology 20100819 8


Dehalococcoides strains respire a wide variety of chloro-organic compounds and are important for the bioremediation of toxic, persistent, carcinogenic, and ubiquitous ground water pollutants. In order to better understand metabolism and optimize their application, we have developed a pan-genome-scale metabolic network and constraint-based metabolic model of Dehalococcoides. The pan-genome was constructed from publicly available complete genome sequences of Dehalococcoides sp. strain CBDB1, strai  ...[more]

Similar Datasets

2023-08-04 | GSE223483 | GEO
2021-03-17 | MTBLS576 | MetaboLights
2023-10-03 | MODEL2211100001 | BioModels
2014-02-27 | GSE49517 | GEO
2021-10-27 | GSE130913 | GEO
2021-10-27 | GSE130912 | GEO
2021-10-27 | GSE130909 | GEO
2019-02-10 | E-MTAB-7314 | biostudies-arrayexpress
2017-03-22 | PXD004714 | JPOST Repository
2011-03-30 | GSE25408 | GEO