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Record W2283637988 · doi:10.5353/th_b5387949

Evolution of porcine reproductive and respiratory syndrome virus

2014· dissertation· en· W2283637988 on OpenAlexaboutno aff
Manreetpal Singh Brar

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Virus Infections Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPorcine reproductive and respiratory syndrome virusRespiratory systemVirologyBiologyVirusAnatomy

Abstract

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Porcine reproductive and respiratory syndrome virus (PRRSV) is one of the leading swine pathogens causing tremendous economic loss to the global swine industry. Since its recognition in the late 1980s, PRRSV has continued to expand in genetic diversity which poses problems for management and eradication. As a result, tracing and tracking the evolving diversity of PRRSV is critical to all stakeholders. In 2010, a phylogenetic framework was proposed to classify all type 2 PRRSV ORF5 sequences (n ≈ 8,000). Since then a further build-up of sequences (n ≈ 5,000) prompted questions on the robustness of the 2010 system in typing new sequences and what new insights on PRRSV diversity could be gauged. \nPhylogenetic classification of new sequences did not lead to the discovery of new evolutionary lineages but enriched the diversity of existing lineages. Importantly, lineages 1 and 9 revealed widening divergence of PRRSV isolates over time with genetic distance peaking at ≥ 10% at present. The growing genetic disparity between viruses and commercial vaccines over time was equally evident. Seven out of the nine lineages had evolutionary origins in North America while the remaining two originated from East Asia. Lineages 1, 5, 8, and 9 viruses were the dominant circulating strains in the field, accounting for > 97% of the dataset. The USA was the country most impacted from the circulation of a diverse set of viruses with isolation of strains of almost every lineage. However, Canada exhibited the greatest heterogeneity in viral diversity despite having rarely experienced foreign introductions. Asian countries also displayed significant diversity but the burden of type 2 PRRSV in Europe was limited. While intra-country diversity levels were more or less comparable across the USA, the same was highly skewed among Canadian provinces. Overall, the inferred burden of vaccine-related viruses on circulating strains was approximately 5%. \nTo date, the majority of PRRSV diversity studies have focused on limited regions of the genome which incompletely characterize evolutionary mechanisms shaping the viral genome as a whole. A methodology of sequencing near complete-length PRRSV genomes was developed to obtain genomic sequences of a diverse set of 16 Hong Kong isolates. Genome assemblies and phylogenetic typing indicated the co-circulation of strains of both genotypes (type 1and type 2) with varying Nsp2 deletion patterns and distinct evolutionary lineages ("High Fever"-like and local endemic type). Recombination analyses revealed genomic breakpoints in structural and non-structural regions of genomes of both genotypes with evidence of many recombination events originating from common ancestors. Additionally, the high fold of coverage per nucleotide allowed the characterization of minor variants arising from the intra-strain heterogeneity. Overall, 0.56-2.83% of sites were polymorphic with respect to cognate consensus genomes. The distribution of minor variants across each genome was not uniform, indicating the influence of selective forces. The proportion of variants causing an amino acid change in their respective codons ranged between 25-67% with many predicted to be non-deleterious. Low frequency deletion variants were also detected, providing one possible mechanism for their sudden emergence as cited in previous reports.

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)0.001
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.019
GPT teacher head0.241
Teacher spread0.222 · 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".

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Citations0
Published2014
Admission routes1
Has abstractyes

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