Evidence map›Paper›PMID 38048319›Full record

ArticlePLoS biology2023

Systematic and scalable genome-wide essentiality mapping to identify nonessential genes in phages.

Denish Piya, Nicholas Nolan, Madeline L Moore, Luis A Ramirez Hernandez, Brady F Cress, Ry Young, Adam P Arkin, Vivek K Mutalik

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 28 citations in OpenAlex.

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  11. Phage-based delivery of CRISPR-associated transposases for targeted bacterial editing.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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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 1 country.

Denish PiyaInnovative Genomics Institute, University of California-Berkeley, Berkeley, California, United States of America.
Nicholas NolanDepartment of Bioengineering, University of California-Berkeley, Berkeley, California, United States of America.
Madeline L MooreEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America.
Luis A Ramirez HernandezEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America.
Brady F CressInnovative Genomics Institute, University of California-Berkeley, Berkeley, California, United States of America.
Ry YoungDepartment of Biochemistry and Biophysics, Center for Phage Technology, Texas A&M University, College Station, Texas, United States of America.
Adam P ArkinInnovative Genomics Institute, University of California-Berkeley, Berkeley, California, United States of America.ORCID 0000-0002-4999-2931
Vivek K MutalikInnovative Genomics Institute, University of California-Berkeley, Berkeley, California, United States of America.ORCID 0000-0001-7934-0400
Lawrence Berkeley National Laboratory · USInnovative Genomics Institute · USTexas A&M University · USUniversity of California, Berkeley · US

Funding

Phage LysisR35GM136396 · NIGMS · TEXAS A&M AGRILIFE RESEARCH · PI YOUNG, RYLAND FLETCHER · 2020 to 2024
$1.9M
NIGMS NIH HHS R35 GM136396
6 · The paper itself

Abstract

Phages are one of the key ecological drivers of microbial community dynamics, function, and evolution. Despite their importance in bacterial ecology and evolutionary processes, phage genes are poorly characterized, hampering their usage in a variety of biotechnological applications. Methods to characterize such genes, even those critical to the phage life cycle, are labor intensive and are generally phage specific. Here, we develop a systematic gene essentiality mapping method scalable to new phage-host combinations that facilitate the identification of nonessential genes. As a proof of concept, we use an arrayed genome-wide CRISPR interference (CRISPRi) assay to map gene essentiality landscape in the canonical coliphages λ and P1. Results from a single panel of CRISPRi probes largely recapitulate the essential gene roster determined from decades of genetic analysis for lambda and provide new insights into essential and nonessential loci in P1. We present evidence of how CRISPRi polarity can lead to false positive gene essentiality assignments and recommend caution towards interpreting CRISPRi data on gene essentiality when applied to less studied phages. Finally, we show that we can engineer phages by inserting DNA barcodes into newly identified inessential regions, which will empower processes of identification, quantification, and tracking of phages in diverse applications.

Indexed as

BacteriophagesDNAGenes, EssentialDNA

Identifiers

PMID38048319
PMCPMC10695390
OpenAlexW4389303896

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.