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Topology‐dependent transcription in linear and circular plasmids of the segmented genome of <i>Borrelia burgdorferi</i>

2006· article· en· W1946384614 on OpenAlexafffund
Cécile Beaurepaire, George Chaconas

Bibliographic record

VenueMolecular Microbiology · 2006
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsUniversity of CalgaryWestern University
FundersCanadian Institutes of Health ResearchCanada Research Chairs
KeywordsPlasmidBiologyBorrelia burgdorferiGeneticsTranscription (linguistics)GeneGenomeOrigin of replicationMolecular biologyTopology (electrical circuits)

Abstract

fetched live from OpenAlex

The segmented genome of Borrelia burgdorferi, a causative agent of Lyme disease, contains a mixture of over 20 linear and circular plasmids. Genes encoding five paralogous families of plasmid replication proteins are located on both circular and linear DNA molecules. The effect of DNA topology on the transcription of replication proteins from two B. burgdorferi plasmids, cp9 and lp17, was examined using quantitative reverse transcription polymerase chain reaction. Circular to linear conversion of a cp9-derived plasmid resulted in a 160-fold decrease in transcript levels of bbc01, believed to encode the replication initiator. A 14.9-fold reduction in plasmid copy number was also observed, resulting in a net 10.7-fold lower transcription level per gene copy on a linear versus a circular plasmid. In contrast, expression of the bbd14 replication initiator for the linear plasmid lp17 was 7.2 times higher per gene copy on a linear versus a circular plasmid. Topology-dependent transcription of these genes may help to block topological interconversions during genome evolution, offers a new avenue for global gene regulation and also has important implications for the design of genetic complementation experiments in B. burgdorferi.

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 score0.029
Threshold uncertainty score0.711

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 studies0.0000.001
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 head0.004
GPT teacher head0.192
Teacher spread0.188 · 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

Citations27
Published2006
Admission routes2
Has abstractyes

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