Evidence map›Paper›PMID 35856675›Full record

ArticleMicrobiology spectrum2022

LI-Detector: a Method for Curating Ordered Gene-Replacement Libraries.

Emily C A Goodall, Faye C Morris, Samantha A McKeand, Rudi Sullivan, Isabel A Warner, Emma Sheehan, Gabriela Boelter, Christopher Icke, Adam F Cunningham, Jeffrey A Cole and 3 more

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 52% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 2 institutions in 2 countries.

Emily C A GoodallInstitute for Molecular Bioscience, University of Queenslandgrid.1003.2, Brisbane, Queensland, Australia.ORCID 0000-0003-4846-6566
Faye C MorrisInstitute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0002-9021-0452
Samantha A McKeandInstitute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.
Rudi SullivanInstitute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.
Isabel A WarnerInstitute for Molecular Bioscience, University of Queenslandgrid.1003.2, Brisbane, Queensland, Australia.ORCID 0000-0002-2236-8442
Emma SheehanInstitute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.
Gabriela BoelterInstitute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.
Christopher IckeInstitute for Molecular Bioscience, University of Queenslandgrid.1003.2, Brisbane, Queensland, Australia.
Adam F CunninghamInstitute of Immunology and Immunotherapy, University of Birminghamgrid.6572.6, Birmingham, United Kingdom.ORCID 0000-0003-0248-964X
Jeffrey A ColeInstitute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.
Manuel BanzhafInstitute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.
Jack A BryantInstitute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.
Ian R HendersonInstitute for Molecular Bioscience, University of Queenslandgrid.1003.2, Brisbane, Queensland, Australia.ORCID 0000-0002-9954-4977
University of Birmingham · GBThe University of Queensland · AU

Funding

Medical Research Council
6 · The paper itself

Abstract

In recent years the availability of genome sequence information has grown logarithmically resulting in the identification of a plethora of uncharacterized genes. To address this gap in functional annotation, many high-throughput screens have been devised to uncover novel gene functions. Gene-replacement libraries are one such tool that can be screened in a high-throughput way to link genotype and phenotype and are key community resources. However, for a phenotype to be attributed to a specific gene, there needs to be confidence in the genotype. Construction of large libraries can be laborious and occasionally errors will arise. Here, we present a rapid and accurate method for the validation of any ordered library where a gene has been replaced or disrupted by a uniform linear insertion (LI). We applied our method (LI-detector) to the well-known Keio library of Escherichia coli gene-deletion mutants. Our method identified 3,718 constructed mutants out of a total of 3,728 confirmed isolates, with a success rate of 99.7% for identifying the correct kanamycin cassette position. This data set provides a benchmark for the purity of the Keio mutants and a screening method for mapping the position of any linear insertion, such as an antibiotic resistance cassette in any ordered library.

Indexed as

DNA Transposable ElementsEscherichia coli InfectionsEscherichia coliGene LibraryHumansMutagenesis, InsertionalDNA Transposable ElementsE. coligene-knockoutKeioknockoutlibrary validationmutantsequencingTn-SeqTraDIStransposon insertion sequencing

Identifiers

PMID35856675
PMCPMC9431181
OpenAlexW4285999674

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.