MétaCan
Menu
Back to cohort
Record W2099968189 · doi:10.1128/mbio.00896-14

A New Group of Phage Anti-CRISPR Genes Inhibits the Type I-E CRISPR-Cas System of Pseudomonas aeruginosa

2014· article· en· W2099968189 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuemBio · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsCRISPRGeneBiologyPseudomonas aeruginosaGeneticsGenomeMobile genetic elementsCRISPR interferenceBacteriophageComputational biologyEscherichia coliGenome editingBacteria

Abstract

fetched live from OpenAlex

CRISPR-Cas systems are one of the most widespread phage resistance mechanisms in prokaryotes. Our lab recently identified the first examples of phage-borne anti-CRISPR genes that encode protein inhibitors of the type I-F CRISPR-Cas system of Pseudomonas aeruginosa. A key question arising from this work was whether there are other types of anti-CRISPR genes. In the current work, we address this question by demonstrating that some of the same phages carrying type I-F anti-CRISPR genes also possess genes that mediate inhibition of the type I-E CRISPR-Cas system of P. aeruginosa. We have discovered four distinct families of these type I-E anti-CRISPR genes. These genes do not inhibit the type I-F CRISPR-Cas system of P. aeruginosa or the type I-E system of Escherichia coli. Type I-E and I-F anti-CRISPR genes are located at the same position in the genomes of a large group of related P. aeruginosa phages, yet they are found in a variety of combinations and arrangements. We have also identified functional anti-CRISPR genes within nonprophage Pseudomonas genomic regions that are likely mobile genetic elements. This work emphasizes the potential importance of anti-CRISPR genes in phage evolution and lateral gene transfer and supports the hypothesis that more undiscovered families of anti-CRISPR genes exist. Finally, we provide the first demonstration that the type I-E CRISPR-Cas system of P. aeruginosa is naturally active without genetic manipulation, which contrasts with E. coli and other previously characterized I-E systems. IMPORTANCE The CRISPR-Cas system is an adaptive immune system possessed by the majority of prokaryotic organisms to combat potentially harmful foreign genetic elements. This study reports the discovery of bacteriophage-encoded anti-CRISPR genes that mediate inhibition of a well-studied subtype of CRISPR-Cas system. The four families of anti-CRISPR genes described here, which comprise only the second group of anti-CRISPR genes to be identified, encode small proteins that bear no sequence similarity to previously studied phage or bacterial proteins. Anti-CRISPR genes represent a newly discovered and intriguing facet of the ongoing evolutionary competition between phages and their bacterial hosts.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.058
Threshold uncertainty score0.455

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.007
GPT teacher head0.259
Teacher spread0.253 · 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