Evidence map›Paper›PMID 39416107›Full record

ArticlebioRxiv : the preprint server for biology2024

Systematic, high-throughput characterization of bacteriophage gene essentiality on diverse hosts.

Jackie Chen, Erick D Nilsen, Chutikarn Chitboonthavisuk, Charlie Y Mo, Srivatsan Raman

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Jackie ChenDepartment of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID 0000-0001-6833-075X
Erick D NilsenDepartment of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA.
Chutikarn ChitboonthavisukDepartment of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID 0000-0002-9496-6046
Charlie Y MoDepartment of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0003-4378-8021
Srivatsan RamanDepartment of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID 0000-0002-5673-6944

Funding

Biotechnology Training ProgramT32GM135066 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI SCOTT M. COYLE, BRIAN G FOX · 2020 to 2026
$7.0M
Understanding molecular rules governing bacteriophage specificity and virulence by high-throughput mutational and metagenomic scanningR21AI156785 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI RAMAN, SRIVATSAN · 2021 to 2022
$427k
NIAID NIH HHS R21 AI156785NIGMS NIH HHS T32 GM135066
6 · The paper itself

Abstract

Understanding core and conditional gene essentiality is crucial for decoding genotype-phenotype relationships in organisms. We present PhageMaP, a high-throughput method to create genome-scale phage knockout libraries for systematically assessing gene essentiality in bacteriophages. Using PhageMaP, we generate gene essentiality maps across hundreds of genes in the model phage T7 and the non-model phage Bas63, on diverse hosts. These maps provide fundamental insights into genome organization, gene function, and host-specific conditional essentiality. By applying PhageMaP to a collection of anti-phage defense systems, we uncover phage genes that either inhibit or activate eight defenses and offer novel mechanistic hypotheses. Furthermore, we engineer synthetic phages with enhanced infectivity by modular transfer of a PhageMaP-discovered defense inhibitor from Bas63 to T7. PhageMaP is generalizable, as it leverages homologous recombination, a universal cellular process, for locus-specific barcoding. This versatile tool advances bacteriophage functional genomics and accelerates rational phage design for therapy.

Identifiers

PMID39416107
PMCPMC11482910

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.