Evidence map›Paper›PMID 32533119›Full record

ReviewNature reviews. Genetics2020

A decade of advances in transposon-insertion sequencing.

Amy K Cain, Lars Barquist, Andrew L Goodman, Ian T Paulsen, Julian Parkhill, Tim van Opijnen

Open access · hybridAbstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 245 papers.

0numbers the graph read from it
0cells of the map it votes in
245citing papers in PubMed
35.9field-weighted citation impact, top 1% 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

245 citing papers in PubMed, 409 citations in OpenAlex.

  1. Article
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  4. Review
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  10. Oligonucleotide genetics forbioRxiv : the preprint server for biology · 2026
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  15. mSystems · 2026
    Article
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  20. Article

185 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

6 authors at 5 institutions in 4 countries.

Amy K CainARC Centre of Excellence in Synthetic Biology, Department of Molecular Sciences, Macquarie University, Sydney, NSW, Australia. amy.cain@mq.edu.au.ORCID http://orcid.org/0000-0002-4230-6572
Lars BarquistHelmholtz Institute for RNA-based Infection Research, Helmholtz Centre for Infection Research, Würzburg, Germany.ORCID http://orcid.org/0000-0003-4732-2667
Andrew L GoodmanDepartment of Microbial Pathogenesis, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0001-7599-3471
Ian T PaulsenARC Centre of Excellence in Synthetic Biology, Department of Molecular Sciences, Macquarie University, Sydney, NSW, Australia.
Julian ParkhillDepartment of Veterinary Medicine, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-7069-5958
Tim van OpijnenDepartment of Biology, Boston College, Boston, MA, USA. vanopijn@bc.edu.ORCID http://orcid.org/0000-0001-6895-6795
ARC Centre of Excellence in Synthetic Biology · AUBoston College · USUniversity of Cambridge · GBUniversity of Würzburg · DEYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Predicting the emergence of antibiotic resistance through multi-omics approaches and Immune System-surveillanU01AI124302 · NIAID · BOSTON COLLEGE · PI BENTO, JOSE, COOPER, VAUGHN · 2016 to 2020
$10.2M
Causes and consequences of interpersonal microbial variationR35GM118159 · NIGMS · YALE UNIVERSITY · PI Andrew L Goodman · 2016 to 2026
$5.6M
The bacterial response to antibiotics and the evolution of antibiotic resistanceR01AI110724 · NIAID · BOSTON COLLEGE · PI VAN OPIJNEN, TIM · 2015 to 2019
$2.0M
Predicting species-wide virulence for a bacterial pathogen with a large pan-genomeR21AI117247 · NIAID · BOSTON COLLEGE · PI VAN OPIJNEN, TIM · 2016 to 2017
$430k
Medical Research Council G1100100Medical Research Council G1100100/1NCATS NIH HHS UL1 TR001863NIAID NIH HHS R01 AI110724NIAID NIH HHS R21 AI117247NIAID NIH HHS U01 AI124302NIGMS NIH HHS R35 GM118159
6 · The paper itself

Abstract

It has been 10 years since the introduction of modern transposon-insertion sequencing (TIS) methods, which combine genome-wide transposon mutagenesis with high-throughput sequencing to estimate the fitness contribution or essentiality of each genetic component in a bacterial genome. Four TIS variations were published in 2009: transposon sequencing (Tn-Seq), transposon-directed insertion site sequencing (TraDIS), insertion sequencing (INSeq) and high-throughput insertion tracking by deep sequencing (HITS). TIS has since become an important tool for molecular microbiologists, being one of the few genome-wide techniques that directly links phenotype to genotype and ultimately can assign gene function. In this Review, we discuss the recent applications of TIS to answer overarching biological questions. We explore emerging and multidisciplinary methods that build on TIS, with an eye towards future applications.

Indexed as

High-Throughput Nucleotide SequencingSequence Analysis, DNAAnimalsDNA Transposable ElementsHumansDNA Transposable Elements

Identifiers

PMID32533119
PMCPMC7291929
OpenAlexW3035131755

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.