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Characterizing the metabolism of Dehalococcoides with a constraint-based model
journal contribution
posted on 2017-11-07, 10:22 authored by Ahsan IslamAhsan Islam, Elizabeth A. Edwards, Radhakrishnan MahadevanDehalococcoides 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.
Funding
This research was funded by the University of Toronto, the Natural Sciences and Engineering Research Council of Canada (NSERC), the Government of Canada through Genome Canada and the Ontario Genomics Institute (2009-OGI-ABC-1405) and the United States Department of Defense Strategic Environmental Research and Development Program (SERDP). MAI was funded by the Ontario Graduate Scholarship (OGS), the SERDP and Genome Canada funds to EAE and the departmental faculty start-up funds to RM. We would also like to acknowledge Dr. Derek Lovley and funding from the US Department of Energy (Cooperative Agreement No. DE-FC02-02ER63446) for enabling access to the SimPheny program. After acceptance of the paper, the authors acknowledge Ontario Genomics Institute Genomics Publication Fund for defraying the open-access publication costs. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
Department
- Chemical Engineering
Published in
PLoS Computational BiologyVolume
6Issue
8Citation
ISLAM, M., EDWARDS, E. and MAHADEVAN, R., 2010. Characterizing the metabolism of Dehalococcoides with a constraint-based model. PLoS Computational Biology, 6 (8), DOI: 10.1371/journal.pcbi.1000887.Publisher
PLoS (© the authors)Version
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/ by/4.0/Publication date
2010ISSN
1553-734XeISSN
1553-7358Publisher version
Language
- en