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Record W2920952933 · doi:10.11575/prism/25092

Bacteriocins of bovine non-aureus staphylococci

2017· dissertation· en· W2920952933 on OpenAlexaboutno aff
Domonique A. Carson

Bibliographic record

VenuePRISM (University of Calgary) · 2017
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicProbiotics and Fermented Foods
Canadian institutionsnot available
Fundersnot available
KeywordsBacteriocinStaphylococcus aureusMicrobiologyChemistryBiologyBacteriaAntimicrobialGenetics

Abstract

fetched live from OpenAlex

The non-aureus staphylococci (NAS) species are among the most prevalent isolated from bovine milk and have been reported to inhibit major mastitis pathogens, likely by producing bacteriocins. This thesis is comprised of two sections, focusing on in vitro inhibition assays and in silico identification of bacteriocin gene clusters and bacteriocin resistance genes in NAS and Staphylococcus aureus, using isolates obtained from the Canadian Bovine Mastitis and Milk Quality Research Network. The first part determined the inhibitory capability of 441 bovine NAS isolates (comprising 25 species) against bovine S. aureus and human methicillin-resistant S. aureus (MRSA) and determined the presence of bacteriocin biosynthetic gene clusters in NAS whole genomes. Overall, 40 isolates from 9 species (S. capitis, S. chromogenes, S. epidermidis, S. pasteuri, S. saprophyticus, S. sciuri, S. simulans, S. warneri, and S. xylosus) inhibited growth of S. aureus in vitro; of which, 23 isolates (from S. capitis, S. chromogenes, S. epidermidis, S. pasteuri, S. simulans, and S. xylosus) also inhibited MRSA. 105 putative bacteriocin gene clusters encompassing 6 different subclasses (lanthipeptides, sactipeptides, lasso peptides, class IIa, class IIc, and class IId) in 95 whole genomes from 16 species were identified. The second part of the thesis determined the susceptibility of 139 bovine S. aureus isolates to a bacteriocin producing S. chromogenes isolate and identified and described the distribution of genes potentially associated with susceptibility and resistance in S. aureus whole genomes. Overall, 90 S. aureus isolates (65%) were resistant to inhibition by the S. chromogenes isolate. We identified 77 genes that were associated with an isolate being resistant. We also identified 76 genes that were associated with an isolate being susceptible to the S. chromogenes. Bacteriocin susceptibility and resistance seems to be linked to a large number of genes, the majority of which are annotated as hypothetical proteins and will need further assessment to determine their role in S. aureus susceptibility. Overall, bacteriocins may be a potential source of novel antimicrobials and this thesis represents the foundation to explore novel NAS bacteriocins.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.009
GPT teacher head0.193
Teacher spread0.184 · 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 designObservational
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
Published2017
Admission routes1
Has abstractyes

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