Evidence map›Paper›PMID 27736793›Full record

ArticleJournal of bacteriology2016

Exploring Hydrogenotrophic Methanogenesis: a Genome Scale Metabolic Reconstruction of Methanococcus maripaludis.

Matthew A Richards, Thomas J Lie, Juan Zhang, Stephen W Ragsdale, John A Leigh, Nathan D Price

Open access · hybridAbstract read
In one paragraph

Article in Journal of bacteriology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
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  6. Article
  7. mSystems · 2023
    Article
  8. Methyl-Based Methanogenesis: an Ecological and Genomic Review.Microbiology and molecular biology reviews : MMBR · 2023
    Review
  9. Article
  10. Engineering nonphotosynthetic carbon fixation for production of bioplastics by methanogenic archaea.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  11. Article
  12. Article
  13. Scale-up of biomass production byFrontiers in microbiology · 2022
    Article
  14. Article
  15. An alternative resource allocation strategy in the chemolithoautotrophic archaeonProceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  16. Article
  17. Autocatalytic chemical networks at the origin of metabolism.Proceedings. Biological sciences · 2020
    Article
  18. Article
  19. μBialSim: Constraint-Based Dynamic Simulation of Complex Microbiomes.Frontiers in bioengineering and biotechnology · 2020
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Matthew A RichardsInstitute for Systems Biology, Seattle, Washington, USA.
Thomas J LieDepartment of Microbiology, University of Washington, Seattle, Washington, USA.
Juan ZhangJiangnan University, Wuxi, China.
Stephen W RagsdaleDepartment of Biological Chemistry, University of Michigan Medical School, Ann Arbor, Michigan, USA.
John A LeighDepartment of Microbiology, University of Washington, Seattle, Washington, USA leighj@u.washington.edu nprice@systemsbiology.org.
Nathan D PriceInstitute for Systems Biology, Seattle, Washington, USA leighj@u.washington.edu nprice@systemsbiology.org.
Institute for Systems Biology · USUniversity of Washington · USJiangnan University · CNUniversity of Michigan–Ann Arbor · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrogenotrophic methanogenesis occurs in multiple environments, ranging from the intestinal tracts of animals to anaerobic sediments and hot springs. Energy conservation in hydrogenotrophic methanogens was long a mystery; only within the last decade was it reported that net energy conservation for growth depends on electron bifurcation. In this work, we focus on Methanococcus maripaludis, a well-studied hydrogenotrophic marine methanogen. To better understand hydrogenotrophic methanogenesis and compare it with methylotrophic methanogenesis that utilizes oxidative phosphorylation rather than electron bifurcation, we have built iMR539, a genome scale metabolic reconstruction that accounts for 539 of the 1,722 protein-coding genes of M. maripaludis strain S2. Our reconstructed metabolic network uses recent literature to not only represent the central electron bifurcation reaction but also incorporate vital biosynthesis and assimilation pathways, including unique cofactor and coenzyme syntheses. We show that our model accurately predicts experimental growth and gene knockout data, with 93% accuracy and a Matthews correlation coefficient of 0.78. Furthermore, we use our metabolic network reconstruction to probe the implications of electron bifurcation by showing its essentiality, as well as investigating the infeasibility of aceticlastic methanogenesis in the network. Additionally, we demonstrate a method of applying thermodynamic constraints to a metabolic model to quickly estimate overall free-energy changes between what comes in and out of the cell. Finally, we describe a novel reconstruction-specific computational toolbox we created to improve usability. Together, our results provide a computational network for exploring hydrogenotrophic methanogenesis and confirm the importance of electron bifurcation in this process. IMPORTANCE: Understanding and applying hydrogenotrophic methanogenesis is a promising avenue for developing new bioenergy technologies around methane gas. Although a significant portion of biological methane is generated through this environmentally ubiquitous pathway, existing methanogen models portray the more traditional energy conservation mechanisms that are found in other methanogens. We have constructed a genome scale metabolic network of Methanococcus maripaludis that explicitly accounts for all major reactions involved in hydrogenotrophic methanogenesis. Our reconstruction demonstrates the importance of electron bifurcation in central metabolism, providing both a window into hydrogenotrophic methanogenesis and a hypothesis-generating platform to fuel metabolic engineering efforts.

Indexed as

Genome, ArchaealArchaeal ProteinsChemoautotrophic GrowthHydrogenMetabolic Networks and PathwaysMethaneMethanococcusArchaeal ProteinsHydrogenMethane

Identifiers

PMID27736793
PMCPMC5116941
OpenAlexW2531441671

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.