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Record W2767668961 · doi:10.1080/15476286.2017.1403001

Silent but deadly: IS200 promotes pathogenicity in <i>Salmonella</i> Typhimurium

2017· article· en· W2767668961 on OpenAlexafffund
Michael J. Ellis, Lindsey A. Carfrae, Craig R. MacNair, Ryan S. Trussler, Eric D. Brown, David B. Haniford

Bibliographic record

VenueRNA Biology · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSalmonella and Campylobacter epidemiology
Canadian institutionsMcMaster UniversityWestern University
FundersGovernment of Canada
KeywordsBiologyTransposable elementPathogenicity islandTransposaseGeneticsSalmonellaContext (archaeology)GeneInsertion sequenceTransposition (logic)Horizontal gene transferGenomeBacteria

Abstract

fetched live from OpenAlex

Bacterial transposons were long thought of as selfish mobile genetic elements that propagate at the expense of 'host' bacterium fitness. However, limited transposition can benefit the host organism by promoting DNA rearrangements and facilitating horizontal gene transfer. Here we discuss and provide context for our recently published work which reported the surprising finding that an otherwise dormant transposon, IS200, encodes a regulatory RNA in Salmonella Typhimurium. This previous work identified a trans-acting sRNA that is encoded in the 5'UTR of IS200 transposase mRNA (tnpA). This sRNA represses expression of genes encoded within Salmonella Pathogenicity Island 1 (SPI-1), and accordingly limits invasion into non-phagocytic cells in vitro. We present new data here that shows IS200 elements are important for colonization of the mouse gastrointestinal tract. We discuss our previous and current findings in the context of transposon biology and suggest that otherwise 'silent' transposons may in fact play an important role in controlling host gene expression.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.038
GPT teacher head0.270
Teacher spread0.232 · 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 source (direct Gemma or distilled Codex), 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

Citations10
Published2017
Admission routes2
Has abstractyes

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