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Record W2130426185 · doi:10.1111/mmi.12971

Nucleotide Second Messenger‐Mediated Regulation of a Muralytic Enzyme in <i>Streptomyces</i>

2015· article· en· W2130426185 on OpenAlexafffund
Renée St-Onge, Henry J. Haiser, Mary R. Yousef, Emma Sherwood, Natalia Tschowri, Mahmoud M. Al‐Bassam, Marie A. Elliot

Bibliographic record

VenueMolecular Microbiology · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial Genetics and Biotechnology
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsBiologyStreptomyces coelicolorPeptidoglycanEnzymeLytic cycleStreptomycesTranscription (linguistics)Transcription factorCell biologyTranscriptional regulationBiochemistryStringent responseBacteriaGeneticsGene

Abstract

fetched live from OpenAlex

Peptidoglycan degradative enzymes have important roles at many stages during the bacterial life cycle, and it is critical that these enzymes be stringently regulated to avoid compromising the integrity of the cell wall. How this regulation is exerted is of considerable interest: promoter-based control and protein-protein interactions are known to be employed; however, other regulatory mechanisms are almost certainly involved. In the actinobacteria, a class of muralytic enzymes - the 'resuscitation-promoting factors' (Rpfs) - orchestrates the resuscitation of dormant cells. In this study, we have taken a holistic approach to exploring the mechanisms governing RpfA function using the model bacterium Streptomyces coelicolor and have uncovered unprecedented multilevel regulation that is coordinated by three second messengers. Our studies show that RpfA is subject to transcriptional control by the cyclic AMP receptor protein, riboswitch-mediated transcription attenuation in response to cyclic di-AMP, and growth stage-dependent proteolysis in response to ppGpp accumulation. Furthermore, our results suggest that these control mechanisms are likely applicable to cell wall lytic enzymes in other bacteria.

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 score0.046
Threshold uncertainty score0.808

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 integrity0.0010.000
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 head0.208
Teacher spread0.201 · 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

Citations33
Published2015
Admission routes2
Has abstractyes

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