Evidence map›Paper›PMID 16788168›Full record

ArticleJournal of bacteriology2006

Genomic analysis of carbon source metabolism of Shewanella oneidensis MR-1: Predictions versus experiments.

Margrethe H Serres, Monica Riley

Abstract readComparative Study
In one paragraph

Article in Journal of bacteriology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. A common inducer molecule enhances sugar utilization by Shewanella oneidensis MR-1.Journal of industrial microbiology & biotechnology · 2023
    Article
  2. Article
  3. Application of comparative genomics ofFrontiers in microbiology · 2022
    Article
  4. Life (Basel, Switzerland) · 2021
    Article
  5. Article
  6. Article
  7. Frontiers in energy research · 2019
    Article
  8. Roles of d-Lactate Dehydrogenases in the Anaerobic Growth ofApplied and environmental microbiology · 2019
    Article
  9. Article
  10. Pan-genome analyses of 24Biotechnology for biofuels · 2018
    Article
  11. Article
  12. Article
  13. EngineeringBiotechnology for biofuels · 2017
    Article
  14. CRP Regulates D-Lactate Oxidation inFrontiers in microbiology · 2017
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. 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

2 authors.

Margrethe H SerresJosephine Bay Paul Center for Comparative Molecular Biology and Evolution, Marine Biological Laboratory, Woods Hole, MA 02543, USA.
Monica Riley

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic sequences have been used to find the genetic foundation for carbon source metabolism in Shewanella oneidensis MR-1. Annotated S. oneidensis MR-1 gene products were examined for their sequence similarity to enzymes participating in pathways for utilization of carbon and energy as described in the BioCyc database (http://www.biocyc.org/) or in the primary literature. A picture emerges that relegates five- and six-carbon sugars to minor roles as carbon sources, whereas multiple pathways for utilization of up to three-carbon carbohydrates seem to be present. Capacity to utilize amino acids for carbon and energy is also present. A few contradictions emerged in which enzymes appear to be present by annotations but are not active in the cell according to physiological experiments. Annotations are based on close sequence similarity and will not reveal inactivity due to deleterious mutations or due to lack of coordination of regulation and transport. Genes for a few enzymes known by experiment to be active are not found in the genome. This may be due to extensive divergence after duplication or convergence of function in separate lines in evolution rendering activities undetectable by sequence similarity. To minimize false predictions from protein sequences, we have been conservative in predicting pathways. We did not predict any pathway when, although a partial pathway was seen it was composed largely of enzymes already accounted for in any other complete pathway. This is an example of how a biochemically oriented sequence analysis can generate questions and direct further experimental investigation.

Indexed as

Bacterial ProteinsCarbohydrate MetabolismCarbohydratesCarbonDatabases, GeneticEnergy MetabolismGenes, BacterialSequence Homology, Amino AcidShewanellaSoftwareBacterial ProteinsCarbohydratesCarbon

Identifiers

PMID16788168
PMCPMC1482980

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.