MétaCan
Menu
Back to cohort
Record W4387600181 · doi:10.1128/spectrum.02807-23

Natural transformation and cell division delay in competent <i>Staphylococcus aureus</i>

2023· article· en· W4387600181 on OpenAlexfundno aff
Fedy Morgene, Célia Rizoug Zeghlache, Shi Yuan Feng, Yolande Hauck, Nicolas Mirouze

Bibliographic record

VenueMicrobiology Spectrum · 2023
Typearticle
Languageen
FieldMedicine
TopicAntimicrobial Resistance in Staphylococcus
Canadian institutionsnot available
FundersAgence Nationale de la RechercheChina Scholarship CouncilYork University
KeywordsStaphylococcus aureusTransformation (genetics)Division (mathematics)Natural (archaeology)Cell divisionBiologyMedicineCellGeneticsBacteriaMathematicsArithmeticGene

Abstract

fetched live from OpenAlex

ABSTRACT Genetic competence for natural transformation, considered one of the three main mechanisms leading to horizontal gene transfer in bacteria, is able to promote evolution, through genomic plasticity, and foster antibiotic resistance and virulence factors spreading. Conserved machinery and actors required to perform natural transformation have been shown to accumulate at different cellular localizations depending on the model organism considered. In this study, we investigate the transformation apparatus composition, localization, and dynamics in the human pathogen Staphylococcus aureus . We particularly show that most of the natural transformation actors co-localize in clusters. We also reveal that the localization of natural transformation proteins is dynamic, following the cell cycle. Ultimately, the natural transformation apparatus is preferentially established in the vicinity of the division septum. All these results demonstrate that DNA binding, uptake, and recombination are spatially and temporally coordinated to ensure S. aureus natural transformation. Finally, we hypothesize that S. aureus competent cells would initiate and then block cell division to ensure the success of natural transformation before the final constriction of the cytokinetic ring. IMPORTANCE Natural transformation, considered one of the three main mechanisms leading to horizontal gene transfer in bacteria, is able to promote genomic plasticity and foster antibiotic resistance spreading. Conserved machinery and actors required to perform natural transformation have been shown to accumulate at different cellular localizations depending on the model organism considered. Here, we show in the human pathogen Staphylococcus aureus that DNA binding, uptake, and recombination are spatially and temporally coordinated to ensure S. aureus natural transformation. We also reveal that localization of natural transformation proteins occurs in the vicinity of the division septum allowing S. aureus competent cells to block cell division to ensure the success of natural transformation before the final constriction of the cytokinetic ring.

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)0.000
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 score0.357
Threshold uncertainty score0.836

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.008
GPT teacher head0.238
Teacher spread0.230 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueMicrobiology SpectrumSame topicAntimicrobial Resistance in StaphylococcusFrench-language works237,207