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Record W4238018971 · doi:10.1128/9781555819286.ch14

Stress Responses, Adaptation, and Virulence of Bacterial Pathogens During Host Gastrointestinal Colonization

2016· book-chapter· en· W4238018971 on OpenAlexaff
Annika Flint, James Butcher, Alain Stintzi

Bibliographic record

VenueASM Press eBooks · 2016
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicSalmonella and Campylobacter epidemiology
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsVirulenceMicrobiologyBiologyShigellaGastrointestinal tractColonizationHost (biology)BacteriaAdaptation (eye)Listeria monocytogenesSalmonellaEcologyGeneticsGene

Abstract

fetched live from OpenAlex

Bacterial pathogens are exposed to a variety of stressful conditions while spreading to and colonizing new hosts to cause infection. Gastrointestinal pathogens such as Campylobacter, Escherichia, Helicobacter, Listeria, Salmonella, and Shigella species encounter numerous stresses during host colonization and infection. During transit through the gastrointestinal tract these pathogens are exposed to physical stresses (pH and osmotic stresses) as well as noxious substances (reactive oxygen and nitrosative species). Bacteria respond to these stresses by altering their transcriptome/proteome in an adaptive manner to either overcome the stress or resist the stress long enough to transition to more favorable conditions. The following sections will present the current state of knowledge for each stress response mentioned above and how these defenses contribute to bacterial virulence.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.040
GPT teacher head0.220
Teacher spread0.180 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations17
Published2016
Admission routes1
Has abstractyes

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