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Record W4394785173 · doi:10.1101/2024.04.12.589305

Molecular basis of foreign DNA recognition by BREX anti-phage immunity system

2024· preprint· en· W4394785173 on OpenAlexaff
Alena Drobiazko, Myfanwy C. Adams, Mikhail Skutel, Kristina Potekhina, Mikhail E. Matlashov, Karen L. Maxwell, Tim R. Blower, Konstantin Severinov, Dmitry Ghilarov, Artem Isaev

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2024
Typepreprint
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsUniversity of Toronto
FundersBiotechnology and Biological Sciences Research CouncilSkolkovo Institute of Science and TechnologyRussian Science FoundationWellcome Trust
KeywordsDNABacteriophageBiologyDNA methyltransferaseDNA methylationEpigeneticsMethylationComputational biologyMethyltransferaseEscherichia coliGeneticsGeneGene expression

Abstract

fetched live from OpenAlex

ABSTRACT Anti-phage systems of the BREX (BacteRiophage EXclusion) superfamily rely on epigenetic DNA methylation to discriminate between the host and invading DNA, but their mechanism of protection remains enigmatic. We demonstrate that in Type I BREX systems, both defense and methylation are based on site-specific DNA recognition by the BrxX (PglX) methyltransferase and require the S-adenosyl methionine cofactor. We present a 2.2-Å cryoEM structure of Escherichia coli BrxX bound to target dsDNA, which reveals the molecular details of DNA recognition by BREX and paves the way for rational engineering of BREX specificity. We show that BrxX alone does not support methylation, and BREX activity requires an assembly of a supramolecular BrxBCXZ immune complex. Finally, we present a cryoEM structure of BrxX bound to a phage-encoded inhibitor Ocr that sequesters an inactive dimeric form of BrxX. Together, these results allow us to propose a model of BREX-mediated DNA sensing and anti-phage defense.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.202
Teacher spread0.193 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2024
Admission routes1
Has abstractyes

Explore more

Same venuebioRxiv (Cold Spring Harbor Laboratory)Same topicBacteriophages and microbial interactionsFrench-language works237,207