Evidence map›Paper›PMID 32681306›Full record

ArticleCurrent genetics2020

Comparing the utility of in vivo transposon mutagenesis approaches in yeast species to infer gene essentiality.

Anton Levitan, Andrew N Gale, Emma K Dallon, Darby W Kozan, Kyle W Cunningham, Roded Sharan, Judith Berman

Open access · hybridAbstract read
In one paragraph

Article in Current genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

14 citing papers in PubMed, 22 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

7 authors at 2 institutions in 2 countries.

Anton LevitanSchool of Molecular Microbiology and Biotechnology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
Andrew N GaleDepartment of Biology, Johns Hopkins University, Baltimore, MD, USA.
Emma K DallonDepartment of Biology, Johns Hopkins University, Baltimore, MD, USA.
Darby W KozanDepartment of Biology, Johns Hopkins University, Baltimore, MD, USA.
Kyle W CunninghamDepartment of Biology, Johns Hopkins University, Baltimore, MD, USA.
Roded SharanBlavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel.
Judith BermanSchool of Molecular Microbiology and Biotechnology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel. jberman@tauex.tau.ac.il.ORCID http://orcid.org/0000-0002-8577-0084
Johns Hopkins University · USTel Aviv University · IL

Funding

CELLULAR AND MOLECULAR BIOLOGYT32GM007231 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI VAN DOREN, MARK B · 1985 to 2020
$18.4M
Mechanisms Promoting Cellular Tolerance to FungistatsR01AI153414 · NIAID · JOHNS HOPKINS UNIVERSITY · PI CUNNINGHAM, KYLE W · 2020 to 2023
$1.6M
Hermes Insertion Profiling of the Candida Glabrata GenomeR21AI130722 · NIAID · JOHNS HOPKINS UNIVERSITY · PI CUNNINGHAM, KYLE W · 2018 to 2019
$437k
European Research Council 340087 (RAPLODAPT)Israel Science foundation 997/18Israel Science Foundation (IL) 715/18Israel Science Foundation (IL) 757/12National Institute of Allergy and Infectious Diseases R21-AI130722NIAID NIH HHS R01 AI153414NIAID NIH HHS R21 AI130722NIGMS NIH HHS T32 GM007231NIH HHS T32- GM007231
6 · The paper itself

Abstract

In vivo transposon mutagenesis, coupled with deep sequencing, enables large-scale genome-wide mutant screens for genes essential in different growth conditions. We analyzed six large-scale studies performed on haploid strains of three yeast species (Saccharomyces cerevisiae, Schizosaccaromyces pombe, and Candida albicans), each mutagenized with two of three different heterologous transposons (AcDs, Hermes, and PiggyBac). Using a machine-learning approach, we evaluated the ability of the data to predict gene essentiality. Important data features included sufficient numbers and distribution of independent insertion events. All transposons showed some bias in insertion site preference because of jackpot events, and preferences for specific insertion sequences and short-distance vs long-distance insertions. For PiggyBac, a stringent target sequence limited the ability to predict essentiality in genes with few or no target sequences. The machine learning approach also robustly predicted gene function in less well-studied species by leveraging cross-species orthologs. Finally, comparisons of isogenic diploid versus haploid S. cerevisiae isolates identified several genes that are haplo-insufficient, while most essential genes, as expected, were recessive. We provide recommendations for the choice of transposons and the inference of gene essentiality in genome-wide studies of eukaryotic haploid microbes such as yeasts, including species that have been less amenable to classical genetic studies.

Indexed as

PhylogenyCandida albicansDNA Transposable ElementsGenes, EssentialGenome, FungalHaploidyHigh-Throughput Nucleotide SequencingMutagenesis, InsertionalSaccharomyces cerevisiaeDNA Transposable ElementsBioinformaticsGenomicsHigh-throughputMachine learningYeasts

Identifiers

PMID32681306
PMCPMC7599172
OpenAlexW3043679602

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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.