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Delineation of the recombination sites necessary for integration of pathogenicity islands II and III into the <i>Escherichia coli</i> 536 chromosome

2008· article· en· W2108587248 on OpenAlexaff
Caroline Wilde, Didier Mazel, Bianca Hochhut, Barbara Middendorf, Frédérique Le Roux, Élisabeth Carniel, Ulrich Dobrindt, Jörg Hacker

Bibliographic record

VenueMolecular Microbiology · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEscherichia coli research studies
Canadian institutionsSunnybrook Health Science Centre
FundersBayerische Forschungsstiftung
KeywordsIntegrasesBiologyRecombinationPathogenicity islandIntegraseEscherichia coliGeneticsVirulenceSite-specific recombinationMolecular biologyPlasmidDNARecombinaseGene

Abstract

fetched live from OpenAlex

In uropathogenic Escherichia coli strain 536, six pathogenicity islands (PAIs) encode key virulence factors. All PAIs except PAI IV(536) are flanked by direct repeats and four of them encode integrases responsible for their chromosomal excision. To study recombination sites used for the integration by PAI II(536) and III(536) integrases, we measured site-specific recombination between the chromosomal integration site attB, and the PAI-specific attachment site attP. We show that PAI III(536) IntB, but not IntA, mediates PAI III(536) integration. Studies of integrative recombination sites of both PAIs show that, when using a large cognate attP site (839 bp for PAI II(536) and 268 bp for PAI III(536)), PAI II(536) and III(536) attB sites could be reduced to 16 bp and 20 bp, respectively, without affecting recombination. Further reduction to 14 bp for PAI II(536) and 13 bp for PAI III(536) diminished recombination efficiency. Surprisingly, attP sites could also be reduced to 14 bp (PAI II(536)) and 20 bp (PAI III(536)). The integration host factor (IHF) and the DNA-bending HU protein do not influence PAI II(536) recombination, but IHF enhances PAI-III(536) excision and negatively affects its integration. These data suggest that PAI intasomes differ from those of lambda and P4 integrase paradigms.

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 score0.008
Threshold uncertainty score0.337

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 integrity0.0000.000
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 head0.011
GPT teacher head0.248
Teacher spread0.237 · 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

Citations23
Published2008
Admission routes1
Has abstractyes

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