Evidence map›Paper›PMID 38273419›Full record

ArticlePorcine health management2024

A descriptive study on spatial and temporal distributions of genetic clusters of porcine reproductive and respiratory syndrome virus infecting pig sites in Quebec, Canada, between 2010 and 2019.

Marie-Ève Lambert, Julie Arsenault, Jean-Charles Côté, Sylvie D'Allaire

Abstract read
In one paragraph

Article in Porcine health management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Marie-Ève LambertLaboratoire d'épidémiologie et de médecine porcine, Faculty of Veterinary Medicine, Université de Montréal, St. Hyacinthe, QC, Canada. marie-eve.lambert@umontreal.ca.
Julie ArsenaultLaboratoire d'épidémiologie et de médecine porcine, Faculty of Veterinary Medicine, Université de Montréal, St. Hyacinthe, QC, Canada.
Jean-Charles CôtéLaboratoire d'épidémiologie et de médecine porcine, Faculty of Veterinary Medicine, Université de Montréal, St. Hyacinthe, QC, Canada.
Sylvie D'AllaireLaboratoire d'épidémiologie et de médecine porcine, Faculty of Veterinary Medicine, Université de Montréal, St. Hyacinthe, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe wide diversity of porcine reproductive and respiratory syndrome virus (PRRSV) strains combined with incomplete heterologous cross-protection complicates the management of the disease at both the herd and the regional levels. The objectives of this study were to describe the spatial and temporal distribution of various PRRSV genetic clusters infecting pig sites in Quebec, Canada, and to compare PRRSV regional diversity of wild-type sequences over the years. MATERIALS AND

methodsA retrospective surveillance-based study was conducted on all pig sites which had PRRSV ORF5 sequences from field submissions transferred into the Laboratoire d'épidémiologie et de médecine porcine database from January 1, 2010 to December 31, 2019. A maximum likelihood phylogenetic tree inferred from multiple sequence alignment was used to identify genetic clusters. For each wild-type cluster gathering ≥ 15 sequences, the number of pig sites in which the cluster was detected per administrative region and per year were displayed on bubble charts and the spatiotemporal distribution of pig sites was illustrated using pie chart maps. A molecular analysis of variance was performed to compare PRRSV wild-type sequence diversity according to the administrative region for each year.

resultsA total of 32 wild-type clusters gathering 1653 PRRSV2 sequences from 693 pig sites were described. Each cluster was detected on up to 132 pig sites and 7 administrative regions over the 10-year period. Annually, the mean (min-max) number of wild-type clusters detected in at least one pig site reached 24 (17-29). Some clusters remained localized on a few sites over time whereas others were widespread over the territory during a few or many years. For each year, regional differences were also observed in PRRSV diversity of wild-type sequences.

conclusionsThe differences observed in both the spatiotemporal distributions of PRRSV clusters and in the regional diversity of wild-type sequences highlight the importance of ongoing provincial surveillance to improve collective PRRS management strategies.

Indexed as

Genetic clustersMolecular epidemiologyOpen reading frame 5 (ORF5)Porcine reproductive and respiratory syndrome virus (PRRSV)Quebec

Identifiers

PMID38273419
PMCPMC10809575

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.