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Record W2164126847 · doi:10.1093/nar/gkv071

Transfer activation of SXT/R391 integrative and conjugative elements: unraveling the SetCD regulon

2015· article· en· W2164126847 on OpenAlexafffund
Dominic Poulin‐Laprade, Dominick Matteau, Pierre‐Étienne Jacques, Sébastien Rodrigue, Vincent Burrus

Bibliographic record

VenueNucleic Acids Research · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA Repair Mechanisms
Canadian institutionsUniversité de Sherbrooke
FundersFonds de Recherche du Québec - Santé
KeywordsBiologyRegulonComputational biologyGeneticsEvolutionary biologyBacterial proteinGene

Abstract

fetched live from OpenAlex

Integrative and conjugative elements (ICEs) of the SXT/R391 family have been recognized as key drivers of antibiotic resistance dissemination in the seventh-pandemic lineage of Vibrio cholerae. SXT/R391 ICEs propagate by conjugation and integrate site-specifically into the chromosome of a wide range of environmental and clinical Gammaproteobacteria. SXT/R391 ICEs bear setC and setD, two conserved genes coding for a transcriptional activator complex that is essential for activation of conjugative transfer. We used chromatin immunoprecipitation coupled with exonuclease digestion (ChIP-exo) and RNA sequencing (RNA-seq) to characterize the SetCD regulon of three representative members of the SXT/R391 family. We also identified the DNA sequences bound by SetCD in MGIVflInd1, a mobilizable genomic island phylogenetically unrelated to SXT/R391 ICEs that hijacks the conjugative machinery of these ICEs to drive its own transfer. SetCD was found to bind a 19-bp sequence that is consistently located near the promoter -35 element of SetCD-activated genes, a position typical of class II transcriptional activators. Furthermore, we refined our understanding of the regulation of excision from and integration into the chromosome for SXT/R391 ICEs and demonstrated that de novo expression of SetCD is crucial to allow integration of the incoming ICE DNA into a naive host following conjugative transfer.

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 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)0.001
metaresearch head score (Gemma)0.001
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 score0.007
Threshold uncertainty score0.305

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.051
GPT teacher head0.343
Teacher spread0.292 · 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 teacher head, 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

Citations50
Published2015
Admission routes2
Has abstractyes

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