Evidence map›Paper›PMID 32665440›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Ranking essential bacterial processes by speed of mutant death.

Larry A Gallagher, Jeannie Bailey, Colin Manoil

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 48 citations in OpenAlex.

  1. Review
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  5. Article
  6. Protein overabundance is driven by growth robustness.bioRxiv : the preprint server for biology · 2025
    Article
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  8. Article
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  13. Review
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  15. Recent advances in genome-scale engineering inEngineering microbiology · 2024
    Review
  16. Article
  17. Article
  18. Article
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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 at 1 institution in 1 country.

Larry A GallagherDepartment of Genome Sciences, University of Washington, Seattle, WA 98195 lg@uw.edu.ORCID 0000-0002-1517-4236
Jeannie BaileyDepartment of Genome Sciences, University of Washington, Seattle, WA 98195.ORCID 0000-0003-1436-3729
Colin ManoilDepartment of Genome Sciences, University of Washington, Seattle, WA 98195.ORCID 0000-0001-6773-3434
University of Washington · US

Funding

Development of Antibiotic Adjuvants for Gram-Negative BacteriaR01AI136904 · NIAID · UNIVERSITY OF NOTRE DAME · PI MELANDER, CHRISTIAN COREY · 2018 to 2022
$3.7M
Defining the antibiotic intrinsic resistome of Acinetobacter baumanniiR01AI148208 · NIAID · UNIVERSITY OF WASHINGTON · PI MANOIL, COLIN · 2020 to 2021
$816k
NIAID NIH HHS R01 AI136904NIAID NIH HHS R01 AI148208
6 · The paper itself

Abstract

Mutant phenotype analysis of bacteria has been revolutionized by genome-scale screening procedures, but essential genes have been left out of such studies because mutants are missing from the libraries analyzed. Since essential genes control the most fundamental processes of bacterial life, this is a glaring deficiency. To address this limitation, we developed a procedure for transposon insertion mutant sequencing that includes essential genes. The method, called transformation transposon insertion mutant sequencing (TFNseq), employs saturation-level libraries of bacterial mutants generated by natural transformation with chromosomal DNA mutagenized heavily by in vitro transposition. The efficient mutagenesis makes it possible to detect large numbers of insertions in essential genes immediately after transformation and to follow their loss during subsequent growth. It was possible to order 45 essential processes based on how rapidly their inactivation inhibited growth. Inactivating ATP production, deoxyribonucleotide synthesis, or ribosome production blocked growth the fastest, whereas inactivating cell division or outer membrane protein synthesis blocked it the slowest. Individual mutants deleted of essential loci formed microcolonies of nongrowing cells whose sizes were generally consistent with the TFNseq ordering. The sensitivity of essential functions to genetic inactivation provides a metric for ranking their relative importance for bacterial replication and growth. Highly sensitive functions could represent attractive antibiotic targets since even partial inhibition should reduce growth.

Indexed as

Bacterial Physiological PhenomenaGenes, BacterialGenes, EssentialMutationMicrobial ViabilityMutation RateSequence DeletionAcinetobacter baylyiessential genenatural transformationTFNseqTn-seq

Identifiers

PMID32665440
PMCPMC7395459
OpenAlexW3042544462

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.