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Shen YF, Arruda AG, Koscielny MP, Cheng TY. Contrasting PRRSV temporal lineage patterns at the individual farm, production system, and regional levels in Ohio and neighboring states from 2017 to 2021. Prev Vet Med 2024; 226:106186. [PMID: 38518657 DOI: 10.1016/j.prevetmed.2024.106186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 02/13/2024] [Accepted: 03/13/2024] [Indexed: 03/24/2024]
Abstract
Porcine reproductive and respiratory virus (PRRSV), one of the most significant viruses in the swine industry, has been challenging to control due to its high mutation and recombination rates and complexity. This retrospective study aimed to describe and compare the distribution of PRRSV lineages obtained at the individual farm, production system, and regional levels. PRRSV-2 (type 2) sequences (n = 482) identified between 2017 - 2021 were provided by a regional state laboratory (Ohio Department of Agriculture, Animal Disease Diagnostic Center (ODA-ADDL)) collected from swine farms in Ohio and neighboring states, including Indiana, Michigan, Pennsylvania, and West Virginia. Additional sequences (n = 138) were provided by one collaborating swine production system. The MUSCLE algorithm on Geneious Prime® was used to align the ORF5 region of PRRSV-2 sequences along with PRRSV live attenuated vaccine strains (n = 6) and lineage anchors (n = 169). Sequenced PRRSV-2 were assigned to the most identical lineage anchors/vaccine strains. Among all sequences (n = 620), 29.8% (185/620) were ≥ 98.0% identity with the vaccine strains, where 93.5% (173/185) and 6.5% (12/185) were identical with the L5 Ingelvac PRRS® MLV and L8 Fostera® PRRS vaccine strains, respectively, and excluded from the analysis. At the regional level across five years, the top five most identified lineages included L1A, L5, L1H, L1C, and L8. Among non-vaccine sequences with production system known, L1A sequences were mostly identified (64.3% - 100.0%) in five systems, followed by L1H (0.0% - 28.6%), L1C (0.0% - 10.5%), L5 (0.0% - 14.4%), L8 (0.0% - 1.3%), and L1F (0.0% - 0.5%). Furthermore, among non-vaccine sequences with the premise identification available (n = 262), the majority of sequences from five individual farms were either classified into L1A or L5. L1A and L5 sequences coexisted in three farms, while samples submitted by one farm contained L1A, L1H, and L5 sequences. Additionally, the lineage classification results of non-vaccine sequences were associated with their restriction fragment length polymorphism (RFLP) patterns (Fisher's exact test, p < 0.05). Overall, our results show that individual farm and production system-level PRRSV-2 lineage patterns do not necessarily correspond to regional-level patterns, highlighting the influence of individual farms and systems in shaping PRRSV occurrence within those levels, and highlighting the crucial goal of within-farm and system monitoring and early detection for accurate knowledge on PRRSV-2 lineage occurrence and emergence.
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Affiliation(s)
- Yi-Fan Shen
- Department of Veterinary Preventive Medicine, College of Veterinary Medicine, The Ohio State University, Columbus, OH, USA
| | - Andréia G Arruda
- Department of Veterinary Preventive Medicine, College of Veterinary Medicine, The Ohio State University, Columbus, OH, USA
| | | | - Ting-Yu Cheng
- Department of Veterinary Preventive Medicine, College of Veterinary Medicine, The Ohio State University, Columbus, OH, USA.
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2
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Li P, Silva APSP, Moraes DCDA, Yeske P, Osemeke OH, Magalhães ES, De Sousa E Silva G, Linhares DCL. Comparison of a novel rapid sampling method to serum and tonsil scraping to detect PRRSV in acutely infected sows. Prev Vet Med 2024; 223:106082. [PMID: 38176150 DOI: 10.1016/j.prevetmed.2023.106082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 11/22/2023] [Accepted: 11/26/2023] [Indexed: 01/06/2024]
Abstract
Few practical methods are available to monitor the PRRSV status of the sows. Common sampling methods for sows like serum sampling, and tonsil scraping involve restraining individual sows and are labor-intensive, time-consuming, relatively invasive, and therefore, have limited use in large-scale production settings. Thus, a practical and rapid method of sampling large numbers of sows is needed. This study aimed to develop a new sampling method, named tonsil-oral scraping (TOSc) and compare TOSc to serum and tonsil scraping in terms of PRRSV qPCR detection rate and Ct values in thirty matched sows, thirty days after PRRSV outbreak. TOSc recovered a mixture of oral fluids and tonsil exudates from the sow oral cavity within seconds without restraining the animals. Results showed that, numerically, the TOSc samples had higher PRRSV qPCR detection rate (100 %) compared to serum (16.8 %) and tonsil scraping (73.1 %). Moreover, TOSc samples had lower average Ct values (29.7) than tonsil scraping (30.7) and serum (35.2). There was no significant difference in the detection rate between TOSc and tonsil scraping (Tukey test, p = 0.992), while there was a significant difference between serum and tonsil scraping (Tukey test, p < 0.001), as well as between serum and TOSc (Tukey test, p < 0.001). In terms of Ct values, there was no statistically significant difference between TOSc and tonsil scrapings (Dunn Test, p > 0.05), while there was a significant difference between tonsil scraping with serum (Dunn Test, p < 0.01), and TOSc with serum (Dunn Test, p < 0.01). Our results suggest great potential of the TOSc as a novel, practical, and rapid tool for PRRSV RNA detection in sows to assess sow herd status.
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Affiliation(s)
- Peng Li
- Department of Veterinary Diagnostic and Production Animal Medicine, Ames, IA 50010, United States
| | | | | | - Paul Yeske
- Swine Vet Center, Saint Peter, MN 56082, United States
| | | | - Edison Souza Magalhães
- Department of Veterinary Diagnostic and Production Animal Medicine, Ames, IA 50010, United States
| | - Gustavo De Sousa E Silva
- Department of Veterinary Diagnostic and Production Animal Medicine, Ames, IA 50010, United States
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3
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Silva APSP, Almeida M, Michael A, Rahe MC, Siepker C, Magstadt DR, Piñeyro P, Arruda BL, Macedo NR, Sahin O, Gauger PC, Krueger KM, Mugabi R, Streauslin JS, Trevisan G, Linhares DCL, Silva GS, Fano E, Main RG, Schwartz KJ, Burrough ER, Derscheid RJ, Sitthicharoenchai P, Clavijo MJ. Detection and disease diagnosis trends (2017-2022) for Streptococcus suis, Glaesserella parasuis, Mycoplasma hyorhinis, Actinobacillus suis and Mycoplasma hyosynoviae at Iowa State University Veterinary Diagnostic Laboratory. BMC Vet Res 2023; 19:268. [PMID: 38087358 PMCID: PMC10714645 DOI: 10.1186/s12917-023-03807-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 11/07/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Accurate measurement of disease associated with endemic bacterial agents in pig populations is challenging due to their commensal ecology, the lack of disease-specific antemortem diagnostic tests, and the polymicrobial nature of swine diagnostic cases. The main objective of this retrospective study was to estimate temporal patterns of agent detection and disease diagnosis for five endemic bacteria that can cause systemic disease in porcine tissue specimens submitted to the Iowa State University Veterinary Diagnostic Laboratory (ISU VDL) from 2017 to 2022. The study also explored the diagnostic value of specific tissue specimens for disease diagnosis, estimated the frequency of polymicrobial diagnosis, and evaluated the association between phase of pig production and disease diagnosis. RESULTS S. suis and G. parasuis bronchopneumonia increased on average 6 and 4.3%, while S. suis endocarditis increased by 23% per year, respectively. M. hyorhinis and A. suis associated serositis increased yearly by 4.2 and 12.8%, respectively. A significant upward trend in M. hyorhinis arthritis cases was also observed. In contrast, M. hyosynoviae arthritis cases decreased by 33% average/year. Investigation into the diagnostic value of tissues showed that lungs were the most frequently submitted sample, However, the use of lung for systemic disease diagnosis requires caution due to the commensal nature of these agents in the respiratory system, compared to systemic sites that diagnosticians typically target. This study also explored associations between phase of production and specific diseases caused by each agent, showcasing the role of S. suis arthritis in suckling pigs, meningitis in early nursery and endocarditis in growing pigs, and the role of G. parasuis, A. suis, M. hyorhinis and M. hyosynoviae disease mainly in post-weaning phases. Finally, this study highlighted the high frequency of co-detection and -disease diagnosis with other infectious etiologies, such as PRRSV and IAV, demonstrating that to minimize the health impact of these endemic bacterial agents it is imperative to establish effective viral control programs. CONCLUSIONS Results from this retrospective study demonstrated significant increases in disease diagnosis for S. suis, G. parasuis, M. hyorhinis, and A. suis, and a significant decrease in detection and disease diagnosis of M. hyosynoviae. High frequencies of interactions between these endemic agents and with viral pathogens was also demonstrated. Consequently, improved control programs are needed to mitigate the adverse effect of these endemic bacterial agents on swine health and wellbeing. This includes improving diagnostic procedures, developing more effective vaccine products, fine-tuning antimicrobial approaches, and managing viral co-infections.
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Affiliation(s)
- Ana Paula Serafini Poeta Silva
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Marcelo Almeida
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Alyona Michael
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Michael C Rahe
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Christopher Siepker
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Drew R Magstadt
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Pablo Piñeyro
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Bailey L Arruda
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
- United States Department of Agriculture (USDA), Ames, IA, USA
| | - Nubia R Macedo
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Orhan Sahin
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Philip C Gauger
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Karen M Krueger
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Robert Mugabi
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Jessica S Streauslin
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Giovani Trevisan
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Daniel C L Linhares
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Gustavo S Silva
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Eduardo Fano
- Boehringer Ingelheim Animal Health USA Inc, Atlanta, GA, USA
| | - Rodger G Main
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Kent J Schwartz
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Eric R Burrough
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Rachel J Derscheid
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Panchan Sitthicharoenchai
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA
| | - Maria J Clavijo
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, USA.
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4
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Yim-im W, Anderson TK, Paploski IAD, VanderWaal K, Gauger P, Krueger K, Shi M, Main R, Zhang J. Refining PRRSV-2 genetic classification based on global ORF5 sequences and investigation of their geographic distributions and temporal changes. Microbiol Spectr 2023; 11:e0291623. [PMID: 37933982 PMCID: PMC10848785 DOI: 10.1128/spectrum.02916-23] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 10/01/2023] [Indexed: 11/08/2023] Open
Abstract
IMPORTANCE In this study, comprehensive analysis of 82,237 global porcine reproductive and respiratory syndrome virus type 2 (PRRSV-2) open reading frame 5 sequences spanning from 1989 to 2021 refined PRRSV-2 genetic classification system, which defines 11 lineages and 21 sublineages and provides flexibility for growth if additional lineages, sublineages, or more granular classifications are needed in the future. Geographic distribution and temporal changes of PRRSV-2 were investigated in detail. This is a thorough study describing the molecular epidemiology of global PRRSV-2. In addition, the reference sequences based on the refined genetic classification system are made available to the public for future epidemiological and diagnostic applications worldwide. The data from this study will facilitate global standardization and application of PRRSV-2 genetic classification.
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Affiliation(s)
- Wannarat Yim-im
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, Iowa, USA
| | - Tavis K. Anderson
- Virus and Prion Research Unit, National Animal Disease Center, USDA-ARS, Ames, Iowa, USA
| | - Igor A. D. Paploski
- Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, Minnesota, USA
| | - Kimberly VanderWaal
- Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, Minnesota, USA
| | - Phillip Gauger
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, Iowa, USA
| | - Karen Krueger
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, Iowa, USA
| | - Mang Shi
- School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Rodger Main
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, Iowa, USA
| | - Jianqiang Zhang
- Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, Iowa, USA
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5
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Zhu H, Wei L, Liu X, Liu S, Chen H, Chen P, Li X, Qian P. Pathogenicity Studies of NADC34-like Porcine Reproductive and Respiratory Syndrome Virus LNSY-GY and NADC30-like Porcine Reproductive and Respiratory Syndrome Virus GXGG-8011 in Piglets. Viruses 2023; 15:2247. [PMID: 38005924 PMCID: PMC10674415 DOI: 10.3390/v15112247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 11/08/2023] [Accepted: 11/09/2023] [Indexed: 11/26/2023] Open
Abstract
The porcine reproductive and respiratory syndrome virus (PRRSV) has caused significant economic losses to the swine industry. The U.S., China, and Peru have reported NADC30-like or NADC34-like PRRSV-infected piglets, which have been identified as the cause of a significant number of abortions in clinics. Although the pathogenicity of NADC30-like PRRSV and NADC34-like PRRSV in piglets exhibits significant variability globally, studies on their pathogenicity in China are limited. In this study, the animal experiments showed that within 8-14 days post-infection, both piglets infected with NADC30-like PRRSV GXGG-8011 and those infected with NADC34-like PRRSV LNSY-GY exhibited significant weight loss compared to the control piglets. Additionally, the viremia of the LNSY-GY persisted for 28 days, while the viremia of piglets infected with the GXGG-8011 lasted for 17 days. Similarly, the duration of viral shedding through the fecal-oral route after the LNSY-GY infection was longer than that observed after the GXGG-8011 infection. Furthermore, post-infection, both the LNSY-GY and GXGG-8011 led to pronounced histopathological lesions in the lungs of piglets, including interstitial pneumonia and notable viral colonization. However, the antibody production in the LNSY-GY-infected group occurred earlier than that in the GXGG-8011-infected group. Our research findings indicate that LNSY-GY is a mildly pathogenic strain in piglets, whereas we speculate that the GXGG-8011 might be a highly pathogenic strain.
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Affiliation(s)
- Hechao Zhu
- National Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; (H.Z.); (L.W.); (X.L.); (S.L.); (H.C.); (X.L.)
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China;
- The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Liuqing Wei
- National Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; (H.Z.); (L.W.); (X.L.); (S.L.); (H.C.); (X.L.)
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China;
- The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Xiangzu Liu
- National Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; (H.Z.); (L.W.); (X.L.); (S.L.); (H.C.); (X.L.)
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China;
- The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Shudan Liu
- National Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; (H.Z.); (L.W.); (X.L.); (S.L.); (H.C.); (X.L.)
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China;
- The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Huanchun Chen
- National Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; (H.Z.); (L.W.); (X.L.); (S.L.); (H.C.); (X.L.)
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China;
- The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Pin Chen
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China;
| | - Xiangmin Li
- National Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; (H.Z.); (L.W.); (X.L.); (S.L.); (H.C.); (X.L.)
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China;
- The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Ping Qian
- National Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; (H.Z.); (L.W.); (X.L.); (S.L.); (H.C.); (X.L.)
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China;
- The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
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6
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Rawal G, Almeida MN, Gauger PC, Zimmerman JJ, Ye F, Rademacher CJ, Armenta Leyva B, Munguia-Ramirez B, Tarasiuk G, Schumacher LL, Aljets EK, Thomas JT, Zhu JH, Trexel JB, Zhang J. In Vivo and In Vitro Characterization of the Recently Emergent PRRSV 1-4-4 L1C Variant (L1C.5) in Comparison with Other PRRSV-2 Lineage 1 Isolates. Viruses 2023; 15:2233. [PMID: 38005910 PMCID: PMC10674456 DOI: 10.3390/v15112233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 11/04/2023] [Accepted: 11/06/2023] [Indexed: 11/26/2023] Open
Abstract
The recently emerged PRRSV 1-4-4 L1C variant (L1C.5) was in vivo and in vitro characterized in this study in comparison with three other contemporary 1-4-4 isolates (L1C.1, L1A, and L1H) and one 1-7-4 L1A isolate. Seventy-two 3-week-old PRRSV-naive pigs were divided into six groups with twelve pigs/group. Forty-eight pigs (eight/group) were for inoculation, and 24 pigs (four/group) served as contact pigs. Pigs in pen A of each room were inoculated with the corresponding virus or negative media. At two days post inoculation (DPI), contact pigs were added to pen B adjacent to pen A in each room. Pigs were necropsied at 10 and 28 DPI. Compared to other virus-inoculated groups, the L1C.5-inoculated pigs exhibited more severe anorexia and lethargy, higher mortality, a higher fraction of pigs with fever (>40 °C), higher average temperature at several DPIs, and higher viremia levels at 2 DPI. A higher percentage of the contact pigs in the L1C.5 group became viremic at two days post contact, implying the higher transmissibility of this virus strain. It was also found that some PRRSV isolates caused brain infection in inoculation pigs and/or contact pigs. The complete genome sequences and growth characteristics in ZMAC cells of five PRRSV-2 isolates were further compared. Collectively, this study confirms that the PRRSV 1-4-4 L1C variant (L1C.5) is highly virulent with potential higher transmissibility, but the genetic determinants of virulence remain to be elucidated.
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Affiliation(s)
- Gaurav Rawal
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA; (G.R.); (M.N.A.); (P.C.G.); (J.J.Z.); (C.J.R.); (B.A.L.); (B.M.-R.); (G.T.); (L.L.S.); (E.K.A.); (J.T.T.); (J.-H.Z.); (J.B.T.)
| | - Marcelo N. Almeida
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA; (G.R.); (M.N.A.); (P.C.G.); (J.J.Z.); (C.J.R.); (B.A.L.); (B.M.-R.); (G.T.); (L.L.S.); (E.K.A.); (J.T.T.); (J.-H.Z.); (J.B.T.)
| | - Phillip C. Gauger
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA; (G.R.); (M.N.A.); (P.C.G.); (J.J.Z.); (C.J.R.); (B.A.L.); (B.M.-R.); (G.T.); (L.L.S.); (E.K.A.); (J.T.T.); (J.-H.Z.); (J.B.T.)
| | - Jeffrey J. Zimmerman
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA; (G.R.); (M.N.A.); (P.C.G.); (J.J.Z.); (C.J.R.); (B.A.L.); (B.M.-R.); (G.T.); (L.L.S.); (E.K.A.); (J.T.T.); (J.-H.Z.); (J.B.T.)
| | - Fangshu Ye
- Department of Statistics, Iowa State University, Ames, IA 50011, USA;
| | - Christopher J. Rademacher
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA; (G.R.); (M.N.A.); (P.C.G.); (J.J.Z.); (C.J.R.); (B.A.L.); (B.M.-R.); (G.T.); (L.L.S.); (E.K.A.); (J.T.T.); (J.-H.Z.); (J.B.T.)
| | - Betsy Armenta Leyva
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA; (G.R.); (M.N.A.); (P.C.G.); (J.J.Z.); (C.J.R.); (B.A.L.); (B.M.-R.); (G.T.); (L.L.S.); (E.K.A.); (J.T.T.); (J.-H.Z.); (J.B.T.)
| | - Berenice Munguia-Ramirez
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA; (G.R.); (M.N.A.); (P.C.G.); (J.J.Z.); (C.J.R.); (B.A.L.); (B.M.-R.); (G.T.); (L.L.S.); (E.K.A.); (J.T.T.); (J.-H.Z.); (J.B.T.)
| | - Grzegorz Tarasiuk
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA; (G.R.); (M.N.A.); (P.C.G.); (J.J.Z.); (C.J.R.); (B.A.L.); (B.M.-R.); (G.T.); (L.L.S.); (E.K.A.); (J.T.T.); (J.-H.Z.); (J.B.T.)
| | - Loni L. Schumacher
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA; (G.R.); (M.N.A.); (P.C.G.); (J.J.Z.); (C.J.R.); (B.A.L.); (B.M.-R.); (G.T.); (L.L.S.); (E.K.A.); (J.T.T.); (J.-H.Z.); (J.B.T.)
| | - Ethan K. Aljets
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA; (G.R.); (M.N.A.); (P.C.G.); (J.J.Z.); (C.J.R.); (B.A.L.); (B.M.-R.); (G.T.); (L.L.S.); (E.K.A.); (J.T.T.); (J.-H.Z.); (J.B.T.)
| | - Joseph T. Thomas
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA; (G.R.); (M.N.A.); (P.C.G.); (J.J.Z.); (C.J.R.); (B.A.L.); (B.M.-R.); (G.T.); (L.L.S.); (E.K.A.); (J.T.T.); (J.-H.Z.); (J.B.T.)
| | - Jin-Hui Zhu
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA; (G.R.); (M.N.A.); (P.C.G.); (J.J.Z.); (C.J.R.); (B.A.L.); (B.M.-R.); (G.T.); (L.L.S.); (E.K.A.); (J.T.T.); (J.-H.Z.); (J.B.T.)
| | - Jolie B. Trexel
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA; (G.R.); (M.N.A.); (P.C.G.); (J.J.Z.); (C.J.R.); (B.A.L.); (B.M.-R.); (G.T.); (L.L.S.); (E.K.A.); (J.T.T.); (J.-H.Z.); (J.B.T.)
| | - Jianqiang Zhang
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA; (G.R.); (M.N.A.); (P.C.G.); (J.J.Z.); (C.J.R.); (B.A.L.); (B.M.-R.); (G.T.); (L.L.S.); (E.K.A.); (J.T.T.); (J.-H.Z.); (J.B.T.)
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7
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Sanchez F, Galvis JA, Cardenas NC, Corzo C, Jones C, Machado G. Spatiotemporal relative risk distribution of porcine reproductive and respiratory syndrome virus in the United States. Front Vet Sci 2023; 10:1158306. [PMID: 37456959 PMCID: PMC10340085 DOI: 10.3389/fvets.2023.1158306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 06/12/2023] [Indexed: 07/18/2023] Open
Abstract
Porcine reproductive and respiratory syndrome virus (PRRSV) remains widely distributed across the U.S. swine industry. Between-farm movements of animals and transportation vehicles, along with local transmission are the primary routes by which PRRSV is spread. Given the farm-to-farm proximity in high pig production areas, local transmission is an important pathway in the spread of PRRSV; however, there is limited understanding of the role local transmission plays in the dissemination of PRRSV, specifically, the distance at which there is increased risk for transmission from infected to susceptible farms. We used a spatial and spatiotemporal kernel density approach to estimate PRRSV relative risk and utilized a Bayesian spatiotemporal hierarchical model to assess the effects of environmental variables, between-farm movement data and on-farm biosecurity features on PRRSV outbreaks. The maximum spatial distance calculated through the kernel density approach was 15.3 km in 2018, 17.6 km in 2019, and 18 km in 2020. Spatiotemporal analysis revealed greater variability throughout the study period, with significant differences between the different farm types. We found that downstream farms (i.e., finisher and nursery farms) were located in areas of significant-high relative risk of PRRSV. Factors associated with PRRSV outbreaks were farms with higher number of access points to barns, higher numbers of outgoing movements of pigs, and higher number of days where temperatures were between 4°C and 10°C. Results obtained from this study may be used to guide the reinforcement of biosecurity and surveillance strategies to farms and areas within the distance threshold of PRRSV positive farms.
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Affiliation(s)
- Felipe Sanchez
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, United States
- Center for Geospatial Analytics, North Carolina State University, Raleigh, NC, United States
| | - Jason A. Galvis
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, United States
| | - Nicolas C. Cardenas
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, United States
| | - Cesar Corzo
- Veterinary Population Medicine Department, College of Veterinary Medicine, University of Minnesota, Saint Paul, MN, United States
| | - Christopher Jones
- Center for Geospatial Analytics, North Carolina State University, Raleigh, NC, United States
| | - Gustavo Machado
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, United States
- Center for Geospatial Analytics, North Carolina State University, Raleigh, NC, United States
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8
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Caserta LC, Zhang J, Piñeyro P, Diel DG. Rapid genotyping of porcine reproductive and respiratory syndrome virus (PRRSV) using MinION nanopore sequencing. PLoS One 2023; 18:e0282767. [PMID: 37220122 DOI: 10.1371/journal.pone.0282767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 04/24/2023] [Indexed: 05/25/2023] Open
Abstract
The global distribution and constant evolution are challenges for the control of porcine reproductive and respiratory syndrome virus (PRRSV), one of the most important viruses affecting swine worldwide. Effective control of PRRSV benefits from genotyping, which currently relies on Sanger sequencing. Here we developed and optimized procedures for real-time genotyping and whole genome sequencing of PRRSV directly from clinical samples based on targeted amplicon- and long amplicon tiling sequencing using the MinION Oxford Nanopore platform. Procedures were developed and tested on 154 clinical samples (including lung, serum, oral fluid and processing fluid) with RT-PCR Ct values ranging from 15 to 35. The targeted amplicon sequencing (TAS) approach was developed to obtain sequences of the complete ORF5 (main target gene for PRRSV genotyping) and partial ORF4 and ORF6 sequences of both PRRSV-1 and PRRSV-2 species. After only 5 min of sequencing, PRRSV consensus sequences with identities to reference sequences above 99% were obtained, enabling rapid identification and genotyping of clinical PRRSV samples into lineages 1, 5 and 8. The long amplicon tiling sequencing (LATS) approach targets type 2 PRRSV, the most prevalent viral species in the U.S. and China. Complete PRRSV genomes were obtained within the first hour of sequencing for samples with Ct values below 24.9. Ninety-two whole genome sequences were obtained using the LATS procedure. Fifty out of 60 sera (83.3%) and 18 out of 20 lung samples (90%) had at least 80% of genome covered at a minimum of 20X sequence depth per position. The procedures developed and optimized in this study here are valuable tools with potential for field application during PRRSV elimination programs.
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Affiliation(s)
- Leonardo Cardia Caserta
- Department of Population Medicine and Diagnostic Sciences, Animal Health Diagnostic Center, College of Veterinary Medicine, Cornell University, Ithaca, NY, United States of America
| | - Jianqiang Zhang
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, Iowa, United States of America
| | - Pablo Piñeyro
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, Iowa, United States of America
| | - Diego G Diel
- Department of Population Medicine and Diagnostic Sciences, Animal Health Diagnostic Center, College of Veterinary Medicine, Cornell University, Ithaca, NY, United States of America
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Pamornchainavakul N, Paploski IAD, Makau DN, Kikuti M, Rovira A, Lycett S, Corzo CA, VanderWaal K. Mapping the Dynamics of Contemporary PRRSV-2 Evolution and Its Emergence and Spreading Hotspots in the U.S. Using Phylogeography. Pathogens 2023; 12:740. [PMID: 37242410 PMCID: PMC10222675 DOI: 10.3390/pathogens12050740] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 05/16/2023] [Accepted: 05/19/2023] [Indexed: 05/28/2023] Open
Abstract
The repeated emergence of new genetic variants of PRRSV-2, the virus that causes porcine reproductive and respiratory syndrome (PRRS), reflects its rapid evolution and the failure of previous control efforts. Understanding spatiotemporal heterogeneity in variant emergence and spread is critical for future outbreak prevention. Here, we investigate how the pace of evolution varies across time and space, identify the origins of sub-lineage emergence, and map the patterns of the inter-regional spread of PRRSV-2 Lineage 1 (L1)-the current dominant lineage in the U.S. We performed comparative phylogeographic analyses on subsets of 19,395 viral ORF5 sequences collected across the U.S. and Canada between 1991 and 2021. The discrete trait analysis of multiple spatiotemporally stratified sampled sets (n = 500 each) was used to infer the ancestral geographic region and dispersion of each sub-lineage. The robustness of the results was compared to that of other modeling methods and subsampling strategies. Generally, the spatial spread and population dynamics varied across sub-lineages, time, and space. The Upper Midwest was a main spreading hotspot for multiple sub-lineages, e.g., L1C and L1F, though one of the most recent emergence events (L1A(2)) spread outwards from the east. An understanding of historical patterns of emergence and spread can be used to strategize disease control and the containment of emerging variants.
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Affiliation(s)
- Nakarin Pamornchainavakul
- Department of Veterinary Population Medicine, University of Minnesota, St. Paul, MN 55108, USA; (N.P.); (I.A.D.P.); (D.N.M.); (M.K.); (A.R.); (C.A.C.)
| | - Igor A. D. Paploski
- Department of Veterinary Population Medicine, University of Minnesota, St. Paul, MN 55108, USA; (N.P.); (I.A.D.P.); (D.N.M.); (M.K.); (A.R.); (C.A.C.)
| | - Dennis N. Makau
- Department of Veterinary Population Medicine, University of Minnesota, St. Paul, MN 55108, USA; (N.P.); (I.A.D.P.); (D.N.M.); (M.K.); (A.R.); (C.A.C.)
| | - Mariana Kikuti
- Department of Veterinary Population Medicine, University of Minnesota, St. Paul, MN 55108, USA; (N.P.); (I.A.D.P.); (D.N.M.); (M.K.); (A.R.); (C.A.C.)
| | - Albert Rovira
- Department of Veterinary Population Medicine, University of Minnesota, St. Paul, MN 55108, USA; (N.P.); (I.A.D.P.); (D.N.M.); (M.K.); (A.R.); (C.A.C.)
- Veterinary Diagnostic Laboratory, University of Minnesota, St. Paul, MN 55108, USA
| | - Samantha Lycett
- Roslin Institute, University of Edinburgh, Edinburgh EH25 9RG, UK;
| | - Cesar A. Corzo
- Department of Veterinary Population Medicine, University of Minnesota, St. Paul, MN 55108, USA; (N.P.); (I.A.D.P.); (D.N.M.); (M.K.); (A.R.); (C.A.C.)
| | - Kimberly VanderWaal
- Department of Veterinary Population Medicine, University of Minnesota, St. Paul, MN 55108, USA; (N.P.); (I.A.D.P.); (D.N.M.); (M.K.); (A.R.); (C.A.C.)
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10
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Kikuti M, Vilalta C, Sanhueza J, Melini CM, Corzo CA. Porcine reproductive and respiratory syndrome prevalence and processing fluids use for diagnosis in United States breeding herds. Front Vet Sci 2022; 9:953918. [PMID: 36504858 PMCID: PMC9730796 DOI: 10.3389/fvets.2022.953918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 09/05/2022] [Indexed: 11/25/2022] Open
Abstract
Introduction Processing fluids have been recently adopted by the U.S. swine industry as a breeding herd PRRS monitoring tool due to their increased representativeness of animals within the herd. Here, we use the Morrison Swine Health Monitoring Project (MSHMP) database, representative of ~50% of the U.S. swine breeding herd, to describe processing fluids submissions for PRRS diagnosis and their relation to PRRS prevalence and time to stability over time between 2009 and 2020. Methods An ecological time series Poisson regression modeling the number of status 1 farms and weekly percentage of processing fluids submissions for PRRS diagnosis was done. Time to stability was calculated for sites that detected a PRRS outbreak within the study period and modeled through a proportional hazards mixed effect survival model using production system as a random-effect factor and epiweek as a panel variable. Results Processing fluids diagnosis submissions increased starting in 2017. The difference between each year's highest and lowest weekly prevalence averaged 10.9% between 2009 and 2017, whereas it averaged 5.0% in 2018-2020 period. Each year's lowest weekly prevalence ranged from 11.3 to 19.5% in 2009-2017 and from 22.4 to 29.2% in 2018-2020. We also detected an increasing proportion of breeding sites that did not reach stability within 1 year of reporting an outbreak (chi-square for trend p < 0.0001). The total time to stability was not associated with the region of the country in which the site was located, the site's air filtration status, its PRRS status before the outbreak, or the different statuses a site achieved to be classified as stable, when accounting for the production system in the multivariate model. However, a higher proportion of system-wide processing fluids use was associated with increased time to stability. Discussion Altogether, the temporal concurrence of processing fluids used for PRRS virus monitoring suggests that the adoption of this sampling strategy may help explain the changes observed in PRRS status 1 prevalence since 2018, although further studies are still needed.
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Affiliation(s)
- Mariana Kikuti
- Department of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN, United States
| | - Carles Vilalta
- Department of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN, United States,Unitat mixta d'Investigació IRTA-UAB en Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), Barcelona, Spain,Instituto de Investigación y Tecnología Agroalimentaria (IRTA), Programa de Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Juan Sanhueza
- Department of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN, United States,Departamento de Ciencias Veterinarias y Salud Pública, Facultad de Recursos Naturales, Universidad Católica de Temuco, Temuco, Chile
| | - Claudio Marcello Melini
- Department of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN, United States
| | - Cesar A. Corzo
- Department of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN, United States,*Correspondence: Cesar A. Corzo
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Trevisan G, Zeller M, Li G, Zhang J, Gauger P, Linhares DC. 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. Transbound Emerg Dis 2022; 69:e2214-e2229. [PMID: 35416426 PMCID: PMC9790532 DOI: 10.1111/tbed.14560] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 03/27/2022] [Accepted: 04/11/2022] [Indexed: 12/30/2022]
Abstract
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.
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Affiliation(s)
- Giovani Trevisan
- Veterinary Diagnostic and Production Animal MedicineIowa State UniversityAmesIowaUSA
| | - Michael Zeller
- Veterinary Diagnostic and Production Animal MedicineIowa State UniversityAmesIowaUSA,Programme in Emerging Infectious DiseasesDuke‐NUS Medical SchoolSingaporeSingapore
| | - Ganwu Li
- Veterinary Diagnostic and Production Animal MedicineIowa State UniversityAmesIowaUSA
| | - Jianqiang Zhang
- Veterinary Diagnostic and Production Animal MedicineIowa State UniversityAmesIowaUSA
| | - Phillip Gauger
- Veterinary Diagnostic and Production Animal MedicineIowa State UniversityAmesIowaUSA
| | - Daniel C.L. Linhares
- Veterinary Diagnostic and Production Animal MedicineIowa State UniversityAmesIowaUSA
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12
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Zhao HZ, Wang FX, Han XY, Guo H, Liu CY, Hou LN, Wang YX, Zheng H, Wang L, Wen YJ. Recent advances in the study of NADC34-like porcine reproductive and respiratory syndrome virus in China. Front Microbiol 2022; 13:950402. [PMID: 35935186 PMCID: PMC9354828 DOI: 10.3389/fmicb.2022.950402] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Accepted: 06/30/2022] [Indexed: 11/13/2022] Open
Abstract
Since porcine reproductive and respiratory syndrome virus (PRRSV) was first described in China in 1996, several genetically distinct strains of PRRSV have emerged with varying pathogenicity and severity, thereby making the prevention and control of PRRS more difficult in China and worldwide. Between 2017 and 2021, the detection rate of NADC34-like strain in China increased. To date, NADC34-like strains have spread to 10 Chinese provinces and have thus developed different degrees of pathogenicity and mortality. In this review, we summarize the history of NADC34-like strains in China and clarify the prevalence, genomic characteristics, restriction fragment length polymorphisms, recombination, pathogenicity, and vaccine status of this strain in China. In so doing, this study aims to provide a basis for the further development of prevention and control measures targeting the NADC34-like strain.
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13
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Yan X, Shang P, Yim-im W, Sun Y, Zhang J, Firth AE, Lowe J, Fang Y. Molecular characterization of emerging variants of PRRSV in the United States: new features of the -2/-1 programmed ribosomal frameshifting signal in the nsp2 region. Virology 2022; 573:39-49. [DOI: 10.1016/j.virol.2022.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 05/31/2022] [Accepted: 06/01/2022] [Indexed: 10/18/2022]
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14
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Zhang Z, Qu X, Wang X, Li Z, Yang S, Sun L, Zhou B. Production Performance of Four Pig Herds Infected With Porcine Reproductive and Respiratory Syndrome Using the “Load-Close-Exposure” Approach in China. Front Vet Sci 2022; 9:882971. [PMID: 35647104 PMCID: PMC9132538 DOI: 10.3389/fvets.2022.882971] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 03/29/2022] [Indexed: 11/13/2022] Open
Abstract
Porcine reproductive and respiratory syndrome (PRRS) is one of the most important swine diseases causing enormous losses to pig producers all over the world. The intervention measure of “load-close-exposure” [interrupting the introduction of replacement pigs combined with whole-herd exposure to live PRRS virus (PRRSV)] has been widely used in North America and has shown wonderful outcomes in controlling PRRS in the field. In the present study, we performed analyses of the production performance of four herds acutely infected with PRRSV by adopting this measure for the first time in China. Our results showed that the development rate of gilts decreased by a mean of 8.56%, the farrowing rate of breeding sows decreased from 86.18 to 77.61%, the number of piglets born alive per sow decreased by a mean of 0.73 pigs, and the pre-weaning and post-weaning mortality of piglets increased by a mean of 2.74–4.97% compared to the parameters of 6 months before an outbreak. The time to PRRSV stability (TTS), defined as the time in weeks it took to produce PRRSV-negative pigs at weaning, is an important indicator of successful control of PRRSV. The median TTS among herds A, C, and D was 21.8 weeks (21.6 22.1 weeks). In herd B, TTS was 42.3 weeks, which could be explained by the double introduction of gilts. Our study suggests that the “load-close-exposure” strategy may be a good alternative for Chinese producers and veterinaries to control PRRS in the field.
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Affiliation(s)
- Zhendong Zhang
- School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, China
| | - Xiangyang Qu
- Nanjing Dr. Vet Health Management CO., LTD, Nanjing, China
- *Correspondence: Xiangyang Qu
| | - Xiaoquan Wang
- School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, China
| | - Zhi Li
- Nanjing Dr. Vet Health Management CO., LTD, Nanjing, China
| | - Shuqing Yang
- Nanjing Dr. Vet Health Management CO., LTD, Nanjing, China
| | - Liumei Sun
- School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, China
| | - Bin Zhou
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China
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Pamornchainavakul N, Kikuti M, Paploski IAD, Makau DN, Rovira A, Corzo CA, VanderWaal K. Measuring How Recombination Re-shapes the Evolutionary History of PRRSV-2: A Genome-Based Phylodynamic Analysis of the Emergence of a Novel PRRSV-2 Variant. Front Vet Sci 2022; 9:846904. [PMID: 35400102 PMCID: PMC8990846 DOI: 10.3389/fvets.2022.846904] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 02/25/2022] [Indexed: 12/29/2022] Open
Abstract
While the widespread and endemic circulation of porcine reproductive and respiratory syndrome virus type 2 (PRRSV-2) causes persistent economic losses to the U.S. swine industry, unusual increases of severe cases associated with the emergence of new genetic variants are a major source of concern for pork producers. Between 2020 and 2021, such an event occurred across pig production sites in the Midwestern U.S. The emerging viral clade is referred to as the novel sub-lineage 1C (L1C) 1-4-4 variant. This genetic classification is based on the open reading frame 5 (ORF5) gene. However, although whole genome sequence (WGS) suggested that this variant represented the emergence of a new strain, the true evolutionary history of this variant remains unclear. To better elucidate the variant's evolutionary history, we conducted a recombination detection analysis, time-scaled phylogenetic estimation, and discrete trait analysis on a set of L1C-1-4-4 WGSs (n = 19) alongside other publicly published WGSs (n = 232) collected over a 26-year period (1995–2021). Results from various methodologies consistently suggest that the novel L1C variant was a descendant of a recombinant ancestor characterized by recombination at the ORF1a gene between two segments that would be otherwise classified as L1C and L1A in the ORF5 gene. Based on analysis of different WGS fragments, the L1C-1-4-4 variant descended from an ancestor that existed around late 2018 to early 2019, with relatively high substitution rates in the proximal ORF1a as well as ORF5 regions. Two viruses from 2018 were found to be the closest relatives to the 2020-21 outbreak strain but had different recombination profiles, suggesting that these viruses were not direct ancestors. We also assessed the overall frequency of putative recombination amongst ORF5 and other parts of the genome and found that recombination events which leave detectable numbers of descendants are not common. However, the rapid spread and high virulence of the L1C-1-4-4 recombinant variant demonstrates that inter-sub-lineage recombination occasionally found amongst the U.S. PRRSV-2 might be an evolutionary mechanisms that contributed to this emergence. More generally, recombination amongst PRRSV-2 accelerates genetic change and increases the chance of the emergence of high fitness variants.
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