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Record W7108214922 · doi:10.5525/gla.thesis.85631

Laboratory approaches for expanding the understanding of an emerging strain of Erysipelothrix rhusiopathiae in the Arctic

2025· article· en· W7108214922 on OpenAlexaboutno aff

Bibliographic record

VenueEnlighten: Theses (The University of Glasgow) · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAquaculture disease management and microbiota
Canadian institutionsnot available
Fundersnot available
KeywordsErysipelothrix rhusiopathiaeGalleria mellonellaVirulenceStrain (injury)LarvaArchipelagoImmune systemPathogenicity

Abstract

fetched live from OpenAlex

Recent investigations into mass mortality events in the Canadian Arctic Archipelago have discovered that one singular ‘Arctic clone’ (Ac) of Erysipelothrix rhusiopathiae has been causing a large number of muskox dieoffs. There is limited understanding of how this strain of the bacterium is maintained and transmitted, or why it is causing such high mortality in this wildlife population. Evidence suggests that this strain could be more virulent than other strains of E. rhusiopathiae. The aim of this project was to contribute to the further understanding of the Ac in the Canadian Arctic. Advances in animal welfare have redefined the ethics behind the use of mammalian models for scientific research. An emerging invertebrate disease model, using Galleria mellonella larvae as a host, has gained increasing recognition. The immune system of the larvae is similar to the mammalian innate immune system. Several successful examples using this model in studies of bacterial virulence suggest that this could be a useful tool to test the virulence of the Ac compared to nonArctic clones (Nac) of E. rhusiopathiae. Since there were no prior investigations conducted on E. rhusiopathiae using this model, my first data chapter serves as an initial evaluation of its use. The experiments included the measurement of the growth kinetics and the inoculation of G. mellonella larvae in biological triplicate. Kaplan-Meier survival curves were generated to illustrate the larvae mortality over the course of the experiment. Up to 2.08 × 106 colony forming units of either Ac or Nac were injected into each larva but did not cause significant mortality during the 9-day observation period. The only experimental group that showed a significant difference was the undiluted Nac group (p-value of 0.049). The limited mortality observed across the majority of the test groups, and limited statistically significant differences in mortality in the treatment versus control groups (as shown using a Cox proportional hazards model) suggests that the G. mellonella is not a suitable model for studying the virulence of E. rhusiopathiae or the Ac. My results suggest that future studies to assess virulence of E. rhusiopathiae would best utilise other in vivo models. The outbreak investigation of E. rhusiopathiae in muskoxen in the Canadian Arctic Archipelago has raised the need for a rapid and sensitive detection assay, particularly for identifying strains belonging to the Ac. I evaluated the design and implementation of a triplex qPCR for simultaneous identification of three strains of interest. Signal leakage and limit of detection testing was conducted. An investigation was conducted to determine the cause of apparent false amplification of the Ac target in four outlier isolates. These ‘imposter’ isolates had cycle threshold (Ct) higher than other Ac isolates on the yellow channel; this observation was used to establish a trend between amplification of the E. rhusiopathiae and Ac targets to help spot future false positives or co-infections. Digital PCR established that true Ac isolates had around 500-600 copies/µL of the Ac target while the imposters had around 0.3 copies/µL and sequencing results from whole genome sequencing of the ‘imposter’ isolates were used to confirm the findings (i.e., that these isolates lacked the Ac-specific sequence) and concluded that the imposters were likely showing late amplification due to earlier contamination of the DNA extracts. The triplex qPCR I developed was further used for strain identification in DNA extracted directly from 367 samples collected from animal carcasses and carcass sites on Ellesmere Island and Axel Heiberg, where recent muskox die-offs occurred. Nearly 90% (n=329) of the samples tested were positive for Ac. Further optimisation is necessary for validation of the assay in different sample types and target concentrations, especially for samples with lower concentrations of the pathogen’s DNA. Overall, my Masters work has demonstrated that the G. mellonella larvae model is not suitable for E. rhusiopathiae infections at the studied conditions, helping redirect future virulence studies of the Ac towards other models. The development of the new triplex qPCR assay has provided a rapid, sensitive and cost-effective alternative to identify Erysipelothrix species and distinguish between Ac and non-Ac strains in infections in the Canadian Arctic.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.808
Threshold uncertainty score0.309

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.033
GPT teacher head0.243
Teacher spread0.210 · 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 designQualitative
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
Published2025
Admission routes1
Has abstractyes

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