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Implementing a user‐friendly format to analyze PRRSV next‐generation sequencing results and associating breeding herd production performance with number of PRRSV strains and recombination events
The open reading frames (ORF)5 represents approximately 4% of the porcine reproductive and respiratory syndrome virus (PRRSV)‐2 genome (whole‐PRRSV) and is often determined by the Sanger technique, which rarely detects >1 PRRSV strain if present in the sample. Next‐generation sequencing (NGS) may...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9790532/ https://www.ncbi.nlm.nih.gov/pubmed/35416426 http://dx.doi.org/10.1111/tbed.14560 |
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author | Trevisan, Giovani Zeller, Michael Li, Ganwu Zhang, Jianqiang Gauger, Phillip Linhares, Daniel C.L. |
author_facet | Trevisan, Giovani Zeller, Michael Li, Ganwu Zhang, Jianqiang Gauger, Phillip Linhares, Daniel C.L. |
author_sort | Trevisan, Giovani |
collection | PubMed |
description | The open reading frames (ORF)5 represents approximately 4% of the porcine reproductive and respiratory syndrome virus (PRRSV)‐2 genome (whole‐PRRSV) and is often determined by the Sanger technique, which rarely detects >1 PRRSV strain if present in the sample. Next‐generation sequencing (NGS) may provide a more appropriate method of detecting multiple PRRSV strains in one sample. This work assessed the effect of PRRSV genetic variability and recombination events, using NGS, on the time‐to‐low prevalence (TTLP) and total losses in breeding herds (n 20) that detected a PRRSV outbreak and adopted measures to eliminate PRRSV. Serum, lung or live virus inoculation material collected within 3‐weeks of outbreak, and subsequently, processing fluids (PFs) were tested for PRRSV by RT‐qPCR and NGS. Recovered whole‐PRRSV or partial sequences were used to characterize within and between herd PRRSV genetic variability. Whole‐PRRSV was recovered in five out of six (83.3%) lung, 16 out of 22 (72.73%) serum and in five out of 95 (5.26%) PF. Whole‐PRRSV recovered from serum or lung were used as farm referent strains in 16 out of 20 (80%) farms. In four farms, only partial genome sequences were recovered and used as farm referent strains. At least two wild‐type PRRSV strains (wt‐PRRSV) were circulating simultaneously in 18 out of 20 (90%) and at least one vaccine‐like strain co‐circulating in eight out of 20 (40%) farms. PRRSV recombination events were detected in 12 farms (59%), been 10 out of 12 between wt‐PRRSV and two out of 12 between wt‐PRRSV and vaccine‐like strains. Farms having ≥3 strains had a 12‐week increase TTLP versus herds ≤2 strains detected. Farms with ≤2 strains (n 10) had 1837 and farms with no recombination events detected (n 8) had 1827 fewer piglet losses per 1000 sows versus farms with ≥3 PRRSV strains (n 8) or detected recombination (n 10), respectively. NGS outcomes and novel visualization methods provided more thorough insight into PRRSV dynamics, genetic variability, detection of multiple strains co‐circulating in breeding herds and helped establish practical guidelines for using PRRSV NGS outputs. |
format | Online Article Text |
id | pubmed-9790532 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97905322022-12-28 Implementing a user‐friendly format to analyze PRRSV next‐generation sequencing results and associating breeding herd production performance with number of PRRSV strains and recombination events Trevisan, Giovani Zeller, Michael Li, Ganwu Zhang, Jianqiang Gauger, Phillip Linhares, Daniel C.L. Transbound Emerg Dis Original Articles The open reading frames (ORF)5 represents approximately 4% of the porcine reproductive and respiratory syndrome virus (PRRSV)‐2 genome (whole‐PRRSV) and is often determined by the Sanger technique, which rarely detects >1 PRRSV strain if present in the sample. Next‐generation sequencing (NGS) may provide a more appropriate method of detecting multiple PRRSV strains in one sample. This work assessed the effect of PRRSV genetic variability and recombination events, using NGS, on the time‐to‐low prevalence (TTLP) and total losses in breeding herds (n 20) that detected a PRRSV outbreak and adopted measures to eliminate PRRSV. Serum, lung or live virus inoculation material collected within 3‐weeks of outbreak, and subsequently, processing fluids (PFs) were tested for PRRSV by RT‐qPCR and NGS. Recovered whole‐PRRSV or partial sequences were used to characterize within and between herd PRRSV genetic variability. Whole‐PRRSV was recovered in five out of six (83.3%) lung, 16 out of 22 (72.73%) serum and in five out of 95 (5.26%) PF. Whole‐PRRSV recovered from serum or lung were used as farm referent strains in 16 out of 20 (80%) farms. In four farms, only partial genome sequences were recovered and used as farm referent strains. At least two wild‐type PRRSV strains (wt‐PRRSV) were circulating simultaneously in 18 out of 20 (90%) and at least one vaccine‐like strain co‐circulating in eight out of 20 (40%) farms. PRRSV recombination events were detected in 12 farms (59%), been 10 out of 12 between wt‐PRRSV and two out of 12 between wt‐PRRSV and vaccine‐like strains. Farms having ≥3 strains had a 12‐week increase TTLP versus herds ≤2 strains detected. Farms with ≤2 strains (n 10) had 1837 and farms with no recombination events detected (n 8) had 1827 fewer piglet losses per 1000 sows versus farms with ≥3 PRRSV strains (n 8) or detected recombination (n 10), respectively. NGS outcomes and novel visualization methods provided more thorough insight into PRRSV dynamics, genetic variability, detection of multiple strains co‐circulating in breeding herds and helped establish practical guidelines for using PRRSV NGS outputs. John Wiley and Sons Inc. 2022-04-28 2022-09 /pmc/articles/PMC9790532/ /pubmed/35416426 http://dx.doi.org/10.1111/tbed.14560 Text en © 2022 The Authors. Transboundary and Emerging Diseases published by Wiley‐VCH GmbH. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Trevisan, Giovani Zeller, Michael Li, Ganwu Zhang, Jianqiang Gauger, Phillip Linhares, Daniel C.L. Implementing a user‐friendly format to analyze PRRSV next‐generation sequencing results and associating breeding herd production performance with number of PRRSV strains and recombination events |
title | Implementing a user‐friendly format to analyze PRRSV next‐generation sequencing results and associating breeding herd production performance with number of PRRSV strains and recombination events |
title_full | Implementing a user‐friendly format to analyze PRRSV next‐generation sequencing results and associating breeding herd production performance with number of PRRSV strains and recombination events |
title_fullStr | Implementing a user‐friendly format to analyze PRRSV next‐generation sequencing results and associating breeding herd production performance with number of PRRSV strains and recombination events |
title_full_unstemmed | Implementing a user‐friendly format to analyze PRRSV next‐generation sequencing results and associating breeding herd production performance with number of PRRSV strains and recombination events |
title_short | Implementing a user‐friendly format to analyze PRRSV next‐generation sequencing results and associating breeding herd production performance with number of PRRSV strains and recombination events |
title_sort | implementing a user‐friendly format to analyze prrsv next‐generation sequencing results and associating breeding herd production performance with number of prrsv strains and recombination events |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9790532/ https://www.ncbi.nlm.nih.gov/pubmed/35416426 http://dx.doi.org/10.1111/tbed.14560 |
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