Evidence map›Paper›PMID 27578758›Full record

ArticlemBio2016

The Nucleoid Binding Protein H-NS Biases Genome-Wide Transposon Insertion Landscapes.

Satoshi Kimura, Troy P Hubbard, Brigid M Davis, Matthew K Waldor

Open access · goldAbstract read
In one paragraph

Article in mBio, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
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  19. mSphere · 2019
    Article
  20. Large-Scale Analysis of theFrontiers in microbiology · 2019
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Satoshi KimuraDivision of Infectious Diseases, Brigham and Women's Hospital, and Department of Microbiology and Immunobiology, Harvard Medical School and HHMI, Boston, Massachusetts, USA.
Troy P HubbardDivision of Infectious Diseases, Brigham and Women's Hospital, and Department of Microbiology and Immunobiology, Harvard Medical School and HHMI, Boston, Massachusetts, USA.
Brigid M DavisDivision of Infectious Diseases, Brigham and Women's Hospital, and Department of Microbiology and Immunobiology, Harvard Medical School and HHMI, Boston, Massachusetts, USA.
Matthew K WaldorDivision of Infectious Diseases, Brigham and Women's Hospital, and Department of Microbiology and Immunobiology, Harvard Medical School and HHMI, Boston, Massachusetts, USA mwaldor@research.bwh.harvard.edu.
Harvard University · USBrigham and Women's Hospital · US

Funding

Molecular Biology and Virulence of CTX PhageR37AI042347 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI WALDOR, MATTHEW K · 2008 to 2017
$3.8M
Genetic Analysis of Vibrio parahaemolyticus PathogenicityF31AI120665 · NIAID · HARVARD MEDICAL SCHOOL · PI HUBBARD, TROY PATRICK · 2015 to 2017
$96k
Howard Hughes Medical InstituteNIAID NIH HHS F31 AI120665NIAID NIH HHS R37 AI042347
6 · The paper itself

Abstract

unlabelledTransposon insertion sequencing (TIS; also known as TnSeq) is a potent approach commonly used to comprehensively define the genetic loci that contribute to bacterial fitness in diverse environments. A key presumption underlying analyses of TIS datasets is that loci with a low frequency of transposon insertions contribute to fitness. However, it is not known whether factors such as nucleoid binding proteins can alter the frequency of transposon insertion and thus whether TIS output may systematically reflect factors that are independent of the role of the loci in fitness. Here, we investigated whether the histone-like nucleoid structuring (H-NS) protein, which preferentially associates with AT-rich sequences, modulates the frequency of Mariner transposon insertion in the Vibrio cholerae genome, using comparative analysis of TIS results from wild-type (wt) and Δhns V. cholerae strains. These analyses were overlaid on gene classification based on GC content as well as on extant genome-wide identification of H-NS binding loci. Our analyses revealed a significant dearth of insertions within AT-rich loci in wt V. cholerae that was not apparent in the Δhns insertion library. Additionally, we observed a striking correlation between genetic loci that are overrepresented in the Δhns insertion library relative to their insertion frequency in wt V. cholerae and loci previously found to physically interact with H-NS. Collectively, our findings reveal that factors other than genetic fitness can systematically modulate the frequency of transposon insertions in TIS studies and add a cautionary note to interpretation of TIS data, particularly for AT-rich sequences. IMPORTANCE: Transposon insertion sequencing (TIS) is often used to assess the relative frequency with which genetic loci can be disrupted, which is taken as an indicator of their importance for bacterial fitness. Here, we report that biological factors other than the relative levels of fitness of insertion mutants can influence TIS output. We found that the presence of the DNA binding protein H-NS, which preferentially recognizes AT-rich sequences, is linked to significant underrepresentation of mutations within AT-rich loci in transposon insertion libraries. Furthermore, there is a marked correspondence between loci bound by H-NS and loci with an increased frequency of disruption in a Δhns insertion library relative to a wt library. Our data suggest that factors other than genetic fitness (e.g., DNA binding proteins such as H-NS) can systematically modulate the frequency of transposon insertions in TIS studies and add a note of caution for interpretation of TIS data.

Indexed as

DNA Transposable ElementsRecombination, GeneticBacterial ProteinsBase CompositionDNA-Binding ProteinsGene DeletionVibrio choleraeBacterial ProteinsDNA-Binding ProteinsDNA Transposable ElementsH-NS protein, bacteria

Identifiers

PMID27578758
PMCPMC4999555
OpenAlexW2513730104

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.