Evidence map›Paper›PMID 27197223›Full record

ArticleGenome research2016

Quantitative insertion-site sequencing (QIseq) for high throughput phenotyping of transposon mutants.

Iraad F Bronner, Thomas D Otto, Min Zhang, Kenneth Udenze, Chengqi Wang, Michael A Quail, Rays H Y Jiang, John H Adams, Julian C Rayner

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–field-weighted citation impact
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

36 citing papers in PubMed, 54 citations in OpenAlex.

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  20. Targeting Gametocytes of the Malaria ParasitePathogens (Basel, Switzerland) · 2021
    Review
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

9 authors at 2 institutions in 2 countries.

Iraad F BronnerMalaria Programme, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridgeshire CB10 1SA, United Kingdom;
Thomas D OttoMalaria Programme, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridgeshire CB10 1SA, United Kingdom;
Min ZhangCenter for Global Health and Infectious Diseases, Department of Global Health, University of South Florida, Tampa, Florida 33612, USA.
Kenneth UdenzeCenter for Global Health and Infectious Diseases, Department of Global Health, University of South Florida, Tampa, Florida 33612, USA.
Chengqi WangCenter for Global Health and Infectious Diseases, Department of Global Health, University of South Florida, Tampa, Florida 33612, USA.
Michael A QuailMalaria Programme, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridgeshire CB10 1SA, United Kingdom;
Rays H Y JiangCenter for Global Health and Infectious Diseases, Department of Global Health, University of South Florida, Tampa, Florida 33612, USA.
John H AdamsCenter for Global Health and Infectious Diseases, Department of Global Health, University of South Florida, Tampa, Florida 33612, USA.
Julian C RaynerMalaria Programme, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridgeshire CB10 1SA, United Kingdom;ORCID 0000-0002-9835-1014
University of South Florida · USWellcome Sanger Institute · GB

Funding

A large-scale transposon mutagenesis screen of Plasmodium falciparumR01AI094973 · NIAID · UNIVERSITY OF SOUTH FLORIDA · PI ADAMS, JOHN H · 2011 to 2015
$1.8M
NIAID NIH HHS R01 AI094973Wellcome Trust 098051
6 · The paper itself

Abstract

Genetic screening using random transposon insertions has been a powerful tool for uncovering biology in prokaryotes, where whole-genome saturating screens have been performed in multiple organisms. In eukaryotes, such screens have proven more problematic, in part because of the lack of a sensitive and robust system for identifying transposon insertion sites. We here describe quantitative insertion-site sequencing, or QIseq, which uses custom library preparation and Illumina sequencing technology and is able to identify insertion sites from both the 5' and 3' ends of the transposon, providing an inbuilt level of validation. The approach was developed using piggyBac mutants in the human malaria parasite Plasmodium falciparum but should be applicable to many other eukaryotic genomes. QIseq proved accurate, confirming known sites in >100 mutants, and sensitive, identifying and monitoring sites over a >10,000-fold dynamic range of sequence counts. Applying QIseq to uncloned parasites shortly after transfections revealed multiple insertions in mixed populations and suggests that >4000 independent mutants could be generated from relatively modest scales of transfection, providing a clear pathway to genome-scale screens in P. falciparum QIseq was also used to monitor the growth of pools of previously cloned mutants and reproducibly differentiated between deleterious and neutral mutations in competitive growth. Among the mutants with fitness defects was a mutant with a piggyBac insertion immediately upstream of the kelch protein K13 gene associated with artemisinin resistance, implying mutants in this gene may have competitive fitness costs. QIseq has the potential to enable the scale-up of piggyBac-mediated genetics across multiple eukaryotic systems.

Indexed as

DNA Transposable ElementsHigh-Throughput Nucleotide SequencingSequence Analysis, DNABase SequenceGene LibraryGene OntologyMutagenesis, InsertionalPhenotypePlasmodium falciparumDNA Transposable Elements

Identifiers

PMID27197223
PMCPMC4937560
OpenAlexW2371552538

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.