Evidence map›Paper›PMID 36507678›Full record

ArticlemSystems2023

Revealing Causes for False-Positive and False-Negative Calling of Gene Essentiality in Escherichia coli Using Transposon Insertion Sequencing.

Donghui Choe, Uigi Kim, Soonkyu Hwang, Sang Woo Seo, Donghyuk Kim, Suhyung Cho, Bernhard Palsson, Byung-Kwan Cho

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Donghui ChoeDepartment of Bioengineering, University of California San Diego, La Jolla, California, USA.
Uigi KimDepartment of Biological Sciences and KI for the BioCentury, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
Soonkyu HwangDepartment of Biological Sciences and KI for the BioCentury, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
Sang Woo SeoSchool of Chemical and Biological Engineering, Seoul National University, Seoul, Republic of Korea.
Donghyuk KimSchool of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.
Suhyung ChoDepartment of Biological Sciences and KI for the BioCentury, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
Bernhard PalssonDepartment of Bioengineering, University of California San Diego, La Jolla, California, USA.ORCID 0000-0003-2357-6785
Byung-Kwan ChoDepartment of Biological Sciences and KI for the BioCentury, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.ORCID 0000-0003-4788-4184
Korea Advanced Institute of Science and Technology · KRUniversity of California San Diego · USSeoul National University · KRUlsan National Institute of Science and Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The massive sequencing of transposon insertion mutant libraries (Tn-Seq) represents a commonly used method to determine essential genes in bacteria. Using a hypersaturated transposon mutant library consisting of 400,096 unique Tn insertions, 523 genes were classified as essential in Escherichia coli K-12 MG1655. This provided a useful genome-wide gene essentiality landscape for rapidly identifying 233 of 301 essential genes previously validated by a knockout study. However, there was a discrepancy in essential gene sets determined by conventional gene deletion methods and Tn-Seq, although different Tn-Seq studies reported different extents of discrepancy. We have elucidated two causes of this discrepancy. First, 68 essential genes not detected by Tn-Seq contain nonessential subgenic domains that are tolerant to transposon insertion, which leads to the false assignment of an essential gene as a nonessential or dispensable gene. These genes exhibited a high level of transposon insertion in their subgenic nonessential domains. In contrast, 290 genes were additionally categorized as essential by Tn-Seq, although their knockout mutants were available. The comparative analysis of Tn-Seq and high-resolution footprinting of nucleoid-associated proteins (NAPs) revealed that a protein-DNA interaction hinders transposon insertion. We identified 213 false-positive genes caused by NAP-genome interactions. These two limitations have to be considered when addressing essential bacterial genes using Tn-Seq. Furthermore, a comparative analysis of high-resolution Tn-Seq with other data sets is required for a more accurate determination of essential genes in bacteria.

Indexed as

Escherichia coliEscherichia coli K12DNA Transposable ElementsGenome, BacterialMutagenesis, InsertionalDNA Transposable ElementsDNA-binding proteinsgene essentialitynucleoid-associated proteinssubgenic-level essentialityTn-Seq

Identifiers

PMID36507678
PMCPMC9948719
OpenAlexW4311203419

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.