Examination of Australian <i>Streptococcus suis</i> Isolates From Clinically Affected Pigs in a Global Context and the Genomic Characterisation of ST1 as a Predictor of Virulence
Bibliographic record
Abstract
Abstract Streptococcus suis is a major zoonotic pathogen that causes severe disease in both humans and pigs. In this study, we investigated S. suis from 148 cases of clinical disease in pigs from 46 pig herds over a period of seven years. These isolates underwent whole genome sequencing, genome analysis and antimicrobial susceptibility testing. Genome sequence data of Australian isolates was compared at the core genome level to clinical isolates from overseas. Results demonstrated eight predominant multi-locus sequence types and two major cps gene types (cps2 and 3). At the core genome level Australian isolates clustered predominantly within one large clade consisting of isolates from the UK, Canada and North America. In particular, serotype 2 MLST25 strains were very closely associated with Canadian and North American strains. A very small proportion of Australian swine isolates (5%) were phylogenetically associated with south-east Asian and UK isolates, many of which were classified as causing systemic disease, and derived from cases of human and swine disease. In addition, we show that ST1 clones carry a constellation of putative virulence genes not present in other Australian STs, and that this is mirrored in overseas ST1 clones. Based on this dataset we provide a comprehensive outline of the current S. suis clones associated with disease in Australian pigs and their global context, and discuss the implications this has on antimicrobial therapy, potential vaccine candidates and public health. Importance In this study, we examine in detail, the genomic characteristics of 148 Streptococcus suis isolates from clinically diseased Australian pigs. We report the antimicrobial susceptibility profiles, virulence gene analysis and relationship to isolates from other regions of the world. We also demonstrate that ST1 clones, regardless of serotype, carry a large array of putative virulence genes while maintaining a small total gene content. This compilation of data has major ramifications for vaccine development, and refines the understanding of the distribution of various strains of this potentially-fatal zoonotic agent in the global pig industry
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".