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Record W2966691953 · doi:10.14288/1.0378556

Understanding the role of iron in biofilm formation, characterization, and viable but non-culturable state induction and resuscitation in Salmonella spp.

2019· article· en· W2966691953 on OpenAlexaboutno aff
Deanna Marie Pasquale

Bibliographic record

VenuecIRcle (University of British Columbia) · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVibrio bacteria research studies
Canadian institutionsnot available
Fundersnot available
KeywordsSalmonellaBiofilmMicrobiologyResuscitationBiologyChemistryBacteriaMedicineGenetics

Abstract

fetched live from OpenAlex

Non-typhoidal strains of Salmonella spp. are one of the greatest bacterial contributors to food-borne illness in Canada. Until the 1990’s, reports of food-borne illness were mainly associated with contaminated meat products; however, raw or minimally cooked produce is now being identified as a major source of food-borne outbreaks. Salmonella are able to persist on crop plants through biofilm formation, and existing in a viable but non culturable (VBNC) state; currently, little is known about the effect of iron on these processes. Using wildtype and iron mutants of Salmonella Typhimurium and Salmonella Enteritidis, the effect of iron was investigated. The first objective was to determine the effect of iron on Salmonella biofilm formation in vitro. Crystal violet (CV) biofilm assays, cell surface hydrophobicity assays, aggregation assays, motility, Congo red (CR) and calcofluor plates were used to characterize and quantify biofilm formation. In vitro work showed that the S. Typhimurium ton B mutant had significantly (p<0.05) greater hydrophobicity, significantly (p<0.05) reduced motility and biomass measured in the CV assay compared to the wildtype strain. The CR plates showed S. Enteritidis ton B mutant lacked curli, a key component, in its biofilm. The second objective was to determine the effect of iron on Salmonella biofilm formation on spinach using scanning electron microscopy (SEM) and CV biofilm assays. The SEM images showed the wildtype strains had stronger biofilm formation when compared to the ton B mutants; however, only the S. Enteritidis ton B mutant had reduced biofilm formation compared to the wildtype in the CV assays. The third objective was to determine the effect of iron on VBNC state induction and resuscitation of S. Typhimurium in vitro. To assess induction and resuscitation, 7% salt solution and nutrient broth supplemented with Ferrioxamine E were used, respectively. S. Typhimurium wildtype induced within 26 days and resuscitated within 22 hours, whereas, the ton B mutant did not. The results of this study suggest that iron does influence Salmonella biofilm formation, and VBNC induction. This study has further increased our understanding of how Salmonella can exist in the environment on plants with the potential to cause food-borne illnesses.

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 score0.003
Threshold uncertainty score0.007

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.010
GPT teacher head0.181
Teacher spread0.171 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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