Evidence map›Paper›PMID 29769716›Full record

ArticleNature2018

Mutant phenotypes for thousands of bacterial genes of unknown function.

Morgan N Price, Kelly M Wetmore, R Jordan Waters, Mark Callaghan, Jayashree Ray, Hualan Liu, Jennifer V Kuehl, Ryan A Melnyk, Jacob S Lamson, Yumi Suh and 12 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 348 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
348citing papers in PubMed, 1 pooled it
–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

348 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. High-throughput analyses ofGut microbes · 2026
    Article
  3. Review
  4. Review
  5. The phenotypic landscape of the model firmicuteProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Barcoded mutant library enables high-throughput functional genomics in a filamentous fungus.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. The human gut microbeApplied and environmental microbiology · 2026
    Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article

288 more citing papers are in PubMed but not listed here.

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

22 authors.

Morgan N PriceEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Kelly M WetmoreEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
R Jordan WatersJoint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Mark CallaghanEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Jayashree RayEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Hualan LiuEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Jennifer V KuehlEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Ryan A MelnykEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Jacob S LamsonEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Yumi SuhEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Hans K CarlsonEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Zuelma EsquivelEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Harini SadeeshkumarEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Romy ChakrabortyClimate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Grant M ZaneDepartment of Biochemistry, University of Missouri, Columbia, MO, USA.
Benjamin E RubinDivision of Biological Sciences, University of California, San Diego, CA, USA.
Judy D WallDepartment of Biochemistry, University of Missouri, Columbia, MO, USA.
Axel ViselJoint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
James BristowJoint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Matthew J BlowJoint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA. mjblow@lbl.gov.
Adam P ArkinEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA. aparkin@lbl.gov.
Adam M DeutschbauerEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA. amdeutschbauer@lbl.gov.

Funding

Genome Sequencer FLXS10RR029668 · NCRR · UNIVERSITY OF CALIFORNIA BERKELEY · PI NGAI, JOHN J. · 2010 to 2010
$623k
Illumina Sequencer to Facilitate Functional Genomics at BerkeleyS10RR027303 · NCRR · UNIVERSITY OF CALIFORNIA BERKELEY · PI TAYLOR, JOHN W. · 2010 to 2010
$500k
NCRR NIH HHS S10 RR027303NCRR NIH HHS S10 RR029668
6 · The paper itself

Abstract

One-third of all protein-coding genes from bacterial genomes cannot be annotated with a function. Here, to investigate the functions of these genes, we present genome-wide mutant fitness data from 32 diverse bacteria across dozens of growth conditions. We identified mutant phenotypes for 11,779 protein-coding genes that had not been annotated with a specific function. Many genes could be associated with a specific condition because the gene affected fitness only in that condition, or with another gene in the same bacterium because they had similar mutant phenotypes. Of the poorly annotated genes, 2,316 had associations that have high confidence because they are conserved in other bacteria. By combining these conserved associations with comparative genomics, we identified putative DNA repair proteins; in addition, we propose specific functions for poorly annotated enzymes and transporters and for uncharacterized protein families. Our study demonstrates the scalability of microbial genetics and its utility for improving gene annotations.

Indexed as

Molecular Sequence AnnotationMutationPhenotypeUncertaintyBacteriaBacterial ProteinsConserved SequenceDNA RepairGenes, BacterialGenetic FitnessGenome, BacterialMutant ProteinsBacterial ProteinsMutant Proteins

Identifiers

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.