Evidence map›Paper›PMID 35417463›Full record

ArticlePLoS genetics2022

Filling gaps in bacterial catabolic pathways with computation and high-throughput genetics.

Morgan N Price, Adam M Deutschbauer, Adam P Arkin

Abstract read
In one paragraph

Article in PLoS genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
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  10. Assessing horizontal gene transfer in the rhizosphere ofApplied and environmental microbiology · 2024
    Article
  11. International journal of systematic and evolutionary microbiology · 2024
    Article
  12. Interactive tools for functional annotation of bacterial genomes.Database : the journal of biological databases and curation · 2024
    Article
  13. Article
  14. Article
  15. Review
  16. International journal of systematic and evolutionary microbiology · 2024
    Article
  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

3 authors.

Morgan N PriceEnvironmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America.ORCID 0000-0002-4251-0362
Adam M DeutschbauerEnvironmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America.ORCID 0000-0003-2728-7622
Adam P ArkinEnvironmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America.ORCID 0000-0002-4999-2931

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To discover novel catabolic enzymes and transporters, we combined high-throughput genetic data from 29 bacteria with an automated tool to find gaps in their catabolic pathways. GapMind for carbon sources automatically annotates the uptake and catabolism of 62 compounds in bacterial and archaeal genomes. For the compounds that are utilized by the 29 bacteria, we systematically examined the gaps in GapMind's predicted pathways, and we used the mutant fitness data to find additional genes that were involved in their utilization. We identified novel pathways or enzymes for the utilization of glucosamine, citrulline, myo-inositol, lactose, and phenylacetate, and we annotated 299 diverged enzymes and transporters. We also curated 125 proteins from published reports. For the 29 bacteria with genetic data, GapMind finds high-confidence paths for 85% of utilized carbon sources. In diverse bacteria and archaea, 38% of utilized carbon sources have high-confidence paths, which was improved from 27% by incorporating the fitness-based annotations and our curation. GapMind for carbon sources is available as a web server (http://papers.genomics.lbl.gov/carbon) and takes just 30 seconds for the typical genome.

Indexed as

ArchaeaBacteriaCarbonGenome, ArchaealGenome, BacterialCarbon

Identifiers

PMID35417463
PMCPMC9007349

What OpenQuestion holds

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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.