Evidence map›Paper›PMID 32370691›Full record

ArticleJournal of the Royal Society, Interface2020

Thermodynamic modelling of synthetic communities predicts minimum free energy requirements for sulfate reduction and methanogenesis.

Hadrien Delattre, Jing Chen, Matthew J Wade, Orkun S Soyer

Open access · hybridAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 28 citations in OpenAlex.

  1. Computational Fluid Dynamics Reveals Mass Transfer Limitations in a Pilot-Scale Microbial Electrolysis Cell.Water environment research : a research publication of the Water Environment Federation · 2026
    Article
  2. Article
  3. Closed ecosystems extract energy through self-organized nutrient cycles.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  4. Article
  5. 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

4 authors at 2 institutions in 1 country.

Hadrien DelattreSchool of Life Sciences, University of Warwick, Coventry, UK.
Jing ChenSchool of Life Sciences, University of Warwick, Coventry, UK.
Matthew J WadeSchool of Engineering, Newcastle University, Newcastle-upon-Tyne NE1 7RU, UK.
Orkun S SoyerSchool of Life Sciences, University of Warwick, Coventry, UK.
University of Warwick · GBNewcastle University · GB

Funding

Biotechnology and Biological Sciences Research Council BB/K003240/2Biotechnology and Biological Sciences Research Council BB/M017982/1
6 · The paper itself

Abstract

Microbial communities are complex dynamical systems harbouring many species interacting together to implement higher-level functions. Among these higher-level functions, conversion of organic matter into simpler building blocks by microbial communities underpins biogeochemical cycles and animal and plant nutrition, and is exploited in biotechnology. A prerequisite to predicting the dynamics and stability of community-mediated metabolic conversions is the development and calibration of appropriate mathematical models. Here, we present a generic, extendable thermodynamic model for community dynamics and calibrate a key parameter of this thermodynamic model, the minimum energy requirement associated with growth-supporting metabolic pathways, using experimental population dynamics data from synthetic communities composed of a sulfate reducer and two methanogens. Our findings show that accounting for thermodynamics is necessary in capturing the experimental population dynamics of these synthetic communities that feature relevant species using low energy growth pathways. Furthermore, they provide the first estimates for minimum energy requirements of methanogenesis (in the range of -30 kJ mol

Indexed as

MicrobiotaMetabolic Networks and PathwaysOxidation-ReductionSulfatesThermodynamicsSulfatesmicrobial growth modelsmicrobial interactionspopulation dynamicsthermodynamic inhibitiontime-series data

Identifiers

PMID32370691
PMCPMC7276542
OpenAlexW3022303118

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.