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Record W2051789838 · doi:10.4161/mge.1.2.16733

Potential origins and horizontal transfer of type III secretion systems and effectors

2011· article· en· W2051789838 on OpenAlexaff
Nat F. Brown, B. Brett Finlay

Bibliographic record

VenueMobile Genetic Elements · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVibrio bacteria research studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEffectorType three secretion systemVirulenceSecretionHorizontal gene transferBiologyLocus (genetics)Pathogenicity islandGeneGeneticsCytoplasmSalmonellaBacteriaComputational biologyCell biologyGenome

Abstract

fetched live from OpenAlex

A major virulence mechanism used by pathogenic Gram-negative bacteria is the delivery of effector proteins from the bacterial cytoplasm into host cells by type III secretion. Typically, genes encoding type III secretion systems (T3SS) and effectors have been horizontally acquired by the bacteria that employ them. In proteobacteria, and especially Salmonella, and attaching and effacing (A/E) pathogens, the genetic structure of these systems presents as a large locus encoding a T3SS with a small number of effectors, plus numerous small unlinked loci encoding additional individual effectors. We discuss the generation of novel effectors, and the evolution of G+C content following acquisition. We also consider the currently held view that each locus has been acquired individually, as well as propose an alternative where recombination may have redistributed and broken up clusters of effectors. It is clear that the evolution of this virulence strategy is highly complex and challenging to analyze.

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 score0.270
Threshold uncertainty score0.404

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 head0.009
GPT teacher head0.243
Teacher spread0.233 · 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

Citations39
Published2011
Admission routes1
Has abstractyes

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