Novel approaches for Spatial and Molecular Surveillance of Porcine Reproductive and Respiratory Syndrome Virus (PRRSv) in the United States

Abstract The US swine industry has been impaired over the last 25 years by the far-reaching financial losses caused by the porcine reproductive and respiratory syndrome (PRRS). Here, we explored the relations between the spatial risk of PRRS outbreaks and its phylodynamic history in the U.S during 1...

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Autores principales:	Moh A. Alkhamis, Andreia G. Arruda, Robert B. Morrison, Andres M. Perez
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7424280740e2401e9305b0b61653d5b0
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spelling	oai:doaj.org-article:7424280740e2401e9305b0b61653d5b02021-12-02T16:07:43ZNovel approaches for Spatial and Molecular Surveillance of Porcine Reproductive and Respiratory Syndrome Virus (PRRSv) in the United States10.1038/s41598-017-04628-22045-2322https://doaj.org/article/7424280740e2401e9305b0b61653d5b02017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-04628-2https://doaj.org/toc/2045-2322Abstract The US swine industry has been impaired over the last 25 years by the far-reaching financial losses caused by the porcine reproductive and respiratory syndrome (PRRS). Here, we explored the relations between the spatial risk of PRRS outbreaks and its phylodynamic history in the U.S during 1998–2016 using ORF5 sequences collected from swine farms in the Midwest region. We used maximum entropy and Bayesian phylodynamic models to generate risk maps for PRRS outbreaks and reconstructed the evolutionary history of three selected phylogenetic clades (A, B and C). High-risk areas for PRRS were best-predicted by pig density and climate seasonality and included Minnesota, Iowa and South Dakota. Phylodynamic models demonstrated that the geographical spread of the three clades followed a heterogeneous spatial diffusion process. Furthermore, PRRS viruses were characterized by typical seasonality in their population size. However, endemic strains were characterized by a substantially slower population growth and evolutionary rates, as well as smaller spatial dispersal rates when compared to emerging strains. We demonstrated the prospects of combining inferences derived from two unique analytical methods to inform decisions related to risk-based interventions of an important pathogen affecting one of the largest food animal industries in the world.Moh A. AlkhamisAndreia G. ArrudaRobert B. MorrisonAndres M. PerezNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-14 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Moh A. Alkhamis Andreia G. Arruda Robert B. Morrison Andres M. Perez Novel approaches for Spatial and Molecular Surveillance of Porcine Reproductive and Respiratory Syndrome Virus (PRRSv) in the United States
description	Abstract The US swine industry has been impaired over the last 25 years by the far-reaching financial losses caused by the porcine reproductive and respiratory syndrome (PRRS). Here, we explored the relations between the spatial risk of PRRS outbreaks and its phylodynamic history in the U.S during 1998–2016 using ORF5 sequences collected from swine farms in the Midwest region. We used maximum entropy and Bayesian phylodynamic models to generate risk maps for PRRS outbreaks and reconstructed the evolutionary history of three selected phylogenetic clades (A, B and C). High-risk areas for PRRS were best-predicted by pig density and climate seasonality and included Minnesota, Iowa and South Dakota. Phylodynamic models demonstrated that the geographical spread of the three clades followed a heterogeneous spatial diffusion process. Furthermore, PRRS viruses were characterized by typical seasonality in their population size. However, endemic strains were characterized by a substantially slower population growth and evolutionary rates, as well as smaller spatial dispersal rates when compared to emerging strains. We demonstrated the prospects of combining inferences derived from two unique analytical methods to inform decisions related to risk-based interventions of an important pathogen affecting one of the largest food animal industries in the world.
format	article
author	Moh A. Alkhamis Andreia G. Arruda Robert B. Morrison Andres M. Perez
author_facet	Moh A. Alkhamis Andreia G. Arruda Robert B. Morrison Andres M. Perez
author_sort	Moh A. Alkhamis
title	Novel approaches for Spatial and Molecular Surveillance of Porcine Reproductive and Respiratory Syndrome Virus (PRRSv) in the United States
title_short	Novel approaches for Spatial and Molecular Surveillance of Porcine Reproductive and Respiratory Syndrome Virus (PRRSv) in the United States
title_full	Novel approaches for Spatial and Molecular Surveillance of Porcine Reproductive and Respiratory Syndrome Virus (PRRSv) in the United States
title_fullStr	Novel approaches for Spatial and Molecular Surveillance of Porcine Reproductive and Respiratory Syndrome Virus (PRRSv) in the United States
title_full_unstemmed	Novel approaches for Spatial and Molecular Surveillance of Porcine Reproductive and Respiratory Syndrome Virus (PRRSv) in the United States
title_sort	novel approaches for spatial and molecular surveillance of porcine reproductive and respiratory syndrome virus (prrsv) in the united states
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/7424280740e2401e9305b0b61653d5b0
work_keys_str_mv	AT mohaalkhamis novelapproachesforspatialandmolecularsurveillanceofporcinereproductiveandrespiratorysyndromevirusprrsvintheunitedstates AT andreiagarruda novelapproachesforspatialandmolecularsurveillanceofporcinereproductiveandrespiratorysyndromevirusprrsvintheunitedstates AT robertbmorrison novelapproachesforspatialandmolecularsurveillanceofporcinereproductiveandrespiratorysyndromevirusprrsvintheunitedstates AT andresmperez novelapproachesforspatialandmolecularsurveillanceofporcinereproductiveandrespiratorysyndromevirusprrsvintheunitedstates
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Novel approaches for Spatial and Molecular Surveillance of Porcine Reproductive and Respiratory Syndrome Virus (PRRSv) in the United States

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