Evidence map›Paper›PMID 37292831›Full record

ArticlebioRxiv : the preprint server for biology2023

Convergent mutations in phage virion assembly proteins enable evasion of Type I CBASS immunity.

Desmond Richmond-Buccola, Samuel J Hobbs, Jasmine M Garcia, Hunter Toyoda, Jingjing Gao, Sichen Shao, Amy S Y Lee, Philip J Kranzusch

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Desmond Richmond-BuccolaORCID 0000-0001-5574-1891
Samuel J Hobbs
Jasmine M Garcia
Jingjing Gao
Amy S Y Lee
Philip J KranzuschORCID 0000-0002-4943-733X
Harvard University · US

Funding

Decoding ribosome-triggered quality control mechanismsDP2GM137415 · NIGMS · HARVARD MEDICAL SCHOOL · PI SHAO, SICHEN · 2019 to 2019
$2.5M
Discovery of cGAS-like signaling enzymes in innate immunity and diseaseDP2GM146250 · NIGMS · DANA-FARBER CANCER INST · PI KRANZUSCH, PHILIP J · 2021 to 2024
$2.5M
Notice of Special Interest - R35 (Undergraduate Summer Funding)R35GM142527 · NIGMS · DANA-FARBER CANCER INST · PI LEE, AMY SI-YING · 2021 to 2025
$2.2M
Quality control of mislocalized membrane proteinsR01AG073277 · NIA · HARVARD MEDICAL SCHOOL · PI Sichen Shao · 2022 to 2026
$1.7M
NIA NIH HHS R01 AG073277NIGMS NIH HHS DP2 GM137415NIGMS NIH HHS DP2 GM146250NIGMS NIH HHS R35 GM142527
6 · The paper itself

Abstract

CBASS is an anti-phage defense system that protects bacteria from phage infection and is evolutionarily related to human cGAS-STING immunity. cGAS-STING signaling is initiated by viral DNA but the stage of phage replication which activates bacterial CBASS remains unclear. Here we define the specificity of Type I CBASS immunity using a comprehensive analysis of 975 operon-phage pairings and show that Type I CBASS operons composed of distinct CD-NTases, and Cap effectors exhibit striking patterns of defense against dsDNA phages across five diverse viral families. We demonstrate that escaper phages evade CBASS immunity by acquiring mutations in structural genes encoding the prohead protease, capsid, and tail fiber proteins. Acquired CBASS resistance is highly operon-specific and typically does not affect overall fitness. However, we observe that some resistance mutations drastically alter phage infection kinetics. Our results define late-stage virus assembly as a critical determinant of CBASS immune activation and evasion by phages.

Identifiers

PMID37292831
PMCPMC10245843
OpenAlexW4377226591

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.