Evidence map›Paper›PMID 21132020›Full record

ReviewNature reviews. Microbiology2011

In situ to in silico and back: elucidating the physiology and ecology of Geobacter spp. using genome-scale modelling.

Radhakrishnan Mahadevan, Bernhard Ø Palsson, Derek R Lovley

Erratum issuedAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
–field-weighted citation impact
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

50 citing papers in PubMed.

  1. Microbially mediated metal corrosion.Nature reviews. Microbiology · 2023
    Review
  2. Article
  3. Review
  4. Engineering Cooperation in an Anaerobic Coculture.Applied and environmental microbiology · 2021
    Article
  5. Article
  6. Article
  7. Proteomic Analysis of a Syntrophic Coculture ofFrontiers in microbiology · 2021
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Frontiers in microbiology · 2019
    Review
  13. Construction of aFrontiers in microbiology · 2018
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Sulfur-cycling fossil bacteria from the 1.8-Ga Duck Creek Formation provide promising evidence of evolution's null hypothesis.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

3 authors.

Radhakrishnan MahadevanDepartment of Chemical Engineering and Applied Chemistry, and Institute of Biomaterials and Biomedical Engineering, University of Toronto, 200 College Street, Toronto, Ontario M5S 3E5, Canada. krishna.mahadevan@utoronto.ca
Bernhard Ø Palsson
Derek R Lovley

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a wide diversity of unexplored metabolism encoded in the genomes of microorganisms that have an important environmental role. Genome-scale metabolic modelling enables the individual reactions that are encoded in annotated genomes to be organized into a coherent whole, which can then be used to predict metabolic fluxes that will optimize cell function under a range of conditions. In this Review, we summarize a series of studies in which genome-scale metabolic modelling of Geobacter spp. has resulted in an in-depth understanding of their central metabolism and ecology. A similar iterative modelling and experimental approach could accelerate elucidation of the physiology and ecology of other microorganisms inhabiting a diversity of environments, and could guide optimization of the practical applications of these species.

Indexed as

Computer SimulationEnvironmentGenome, BacterialModels, BiologicalGene Expression Regulation, BacterialGeobacter

Identifiers

PMID21132020

What OpenQuestion holds

Textmetadata
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.