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Record W6968933257 · doi:10.5281/zenodo.6646715

Competition and coevolution drive the evolution and the diversification of CRISPR immunity

2022· article· en· W6968933257 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsGenomeCRISPRBacteriophageGeneLocus (genetics)Sanger sequencingPoint mutationMutation

Abstract

fetched live from OpenAlex

Data for the paper : "Competition and coevolution drive the evolution and the diversification of CRISPR immunity" Does NOT contain sequencing data (they are available on NCBI, BioProject PRJNA843584) Bacteria_density.csv Density of bacteria (cfu/ml) in all replicates at all times. B: Treatment A ; Pw: Treatment B ; PR: Treatment C Phages_density.csv Density of phages (pfu/ml) in all replicates at all times. B: Treatment A ; Pw: Treatment B ; PR: Treatment C NC_007019.1.fasta Genome of bacteriophage 2972 downloaded from https://www-ncbi-nlm-nih-gov.inee.bib.cnrs.fr/nuccore/66391759 NC_007019.1_T0.fasta Genome of bacteriophage 2972, updated to include the mutations observed in the mix of phages at T0 in treatment B. Mutations.xlsx This file shows the mutations in the genome of the 16 starting resistant bacteria compared to the sensitive ancestor DGCC 7710. All mutations were confirmed via Sanger sequencing of PCR products amplified from the chromosome of the BIMs. The sheet ‘BIM mutation details’ shows for each resistant bacteria details on the mutations detected, as well as the annotation of the protein produced by the mutated gene or the name of the gene when possible. As some mutations are observed in several bacteria, the sheet ‘Simplified combined mutations’ synthetically shows the presence/absence of mutations to the locus tag/gene level precision in each bacterial genotype. The effect of the mutation is shown with a color code, described below the table. Processed data: The following files are here as starting point to analyze data without having to process of raw data. Bacteria_data.csv Sequencing of bacteria populations: This file contains the frequency of each host genotype through time in all replicates. For the Genotypes, ‘start-end’ corresponds to the susceptible DGCC 7710. Any ‘PAM\_XXX’ between ‘start’ and ‘end’ indicates the presence of spacer XXX in this genotype. This pattern can be present several times for multi-resistant genotypes. Spacers are named according to the middle position of the corresponding protospacer in the phage. Phage_data.csv Sequencing of phage populations: This file contains the frequency of each phage mutation through time in all replicates. It contains the type, the position on the genome, the reference allele, the mutated allele and the frequency of each mutations. The column with time 0 do not show replicate number next to the treatment as the sequencing was done for the phage mix used at the beginning of all replicates for each treatment. Matching_data.csv Dynamics of phage mutations that escape CRISPR immunity: This file contains the host spacer frequency and the corresponding phage mutation frequency through time in all replicates. Spacers are named according to the middle position of the corresponding protospacer in the phage. Many lines contain frequencies of 0 as they were not filtered for computation purposes.

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)0.002
metaresearch head score (Gemma)0.010
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.192
Threshold uncertainty score0.644

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.004
Science and technology studies0.0020.001
Scholarly communication0.0030.003
Open science0.0020.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1920.079

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 head0.011
GPT teacher head0.236
Teacher spread0.226 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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