First report of Porcine Respirovirus 1 in South America
Under a Creative Commons license
open access
Keywords
Porcine respirovirus 1
porcine parainfluenza virus 1
Swine
South America
Chile
1. Introduction
Genus Respirovirus belongs to the family Paramyxoviridae, order Mononegavirales, and including 6 viral species: Bovine respirovirus 3, Caprine respirovirus 3, Human respirovirus 1, Human respirovirus 3, Murine respirovirus, and Porcine respirovirus 1 (PRV1) (Amarasinghe et al., 2018, 2019). Historically, these viruses have been related to respiratory infections in human and domestic animals (Li et al. 2016; Maclachlan et al. 2017; Park et al. 2019).
PRV1, also known as porcine parainfluenza virus 1 (PPIV-1), was first described in 2013 in nasopharyngeal and rectal swab samples of deceased pigs collected from a slaughterhouse in Hong Kong (Lau et al., 2013). Although its pathogenicity is uncertain, this emerging virus has been associated with respiratory disease in pigs, evidenced by clinical signs that may include coughing, minor sneezing, and serous nasal discharge (Palinski et al., 2016). PRV1 has also been found in co-infections with porcine reproductive and respiratory syndrome virus (PRRSV) and influenza A virus (IAV), suggesting that it may participate in the porcine respiratory disease complex (PRDC), increasing the severity of respiratory disease (Welch et al., 2017). Although PRV1 is genetically related to Human respirovirus 1 (Lau et al., 2013), its zoonotic potential is still unknown.
PRV1 has a single-stranded, negative-sense linear RNA genome of ∼15 kb in length, which encodes 6 major proteins: nucleocapsid (N), phosphoprotein (P), matrix (M), fusion (F), hemagglutinin-neuraminidase (HN), and large (L) protein (Palinski et al., 2016; Park et al., 2017, 2019). The F and HN are the major envelope glycoproteins on the viral surface, which are crucial for receptor binding, entry, and fusion between the viral envelope and the host cell membrane. They are responsible for inducing the production of neutralizing antibodies (Henrickson, 2003), so they are subject to humoral immune pressure with the consequent genetic variability. Therefore, phylogenetic analysis of the F and HN genes may be useful to carry out molecular epidemiological studies of this virus (Park et al., 2019).
PRV1 has been detected in several states of the United States of America (USA), widespread in commercial swine farms (Palinski et al. 2016; Park et al. 2019). To date, PRV1 has only been described in the USA and China, and only 9 whole or near-complete genomes are available in public repositories (Park et al., 2019). Little is known about the epidemiology and distribution of PRV1 in the rest of the world. In this study, we report the first detection of PRV1 in South America and its genetic comparison with other previously described porcine respiroviruses.
2. Materials and Methods
One hundred and sixty-four samples were obtained from 6 swine production companies, located in 5 administrative regions of Chile (Valparaiso, Metropolitan, O’Higgins, Maule, and Ñuble), where >80% of the Chilean intensive swine production is located. Samples were collected between 2015 and 2019 during a swine influenza surveillance program, including nasal swabs (121), oral fluids (8) and, lungs (35). In general, the samples were collected in grower pigs between 3 to 11-weeks of age, specifically from pens where clinical symptoms of respiratory disease including sneezing and coughing was observed. The details of the sample collection are provided in Table 1 and supplemental information Table 1.
Region | Farm | Sample | Year | Total Samples | RT-PCR PRV1 positive | RT-PCR IAV positive | PRV1 & IAV positive |
---|---|---|---|---|---|---|---|
Maule | Farm 1 | Nasal Swab | 2018 | 5 | 3 (60%) | 1 (20%) | 1 (20%) |
Maule | Farm 1 | Oral Fluid | 2018 | 4 | 3 (75%) | 4 (100%) | 3 (75%) |
Maule | Farm 1 | Nasal Swab | 2015 | 66 | 9 (14%) | 52 (79%) | 8 (12%) |
Maule | Farm 1 | Oral Fluid | 2015 | 4 | 2 (50%) | 2 (50%) | 2 (50%) |
Ñuble | Farm 2 | Nasal Swab | 2019 | 23 | 6 (26%) | 4 (17%) | 2 (9%) |
O'Higgins | Farm 3 | Nasal Swab | 2019 | 8 | 2 (25%) | 6 (75%) | 2 (25%) |
O'Higgins | Farm 3 | Lung | 2019 | 4 | 1 (25%) | 3 (75%) | 1 (25%) |
Santiago | Farm 4 | Nasal Swab | 2019 | 4 | 0 (0%) | 3 (75%) | 0 (0%) |
Santiago | Farm 4 | Lung | 2019 | 31 | 2 (6%) | 17 (55%) | 1 (3%) |
Valparaiso | Farm 5 | Nasal Swab | 2019 | 5 | 2 (40%) | 2 (40%) | 1 (20%) |
O'Higgins | Farm 6 | Nasal Swab | 2019 | 10 | 1 (10%) | 4 (40%) | 0 (0%) |
Total | 164 | 31 (18,9%) | 98 (59,8%) | 21(12,8%) |
The PRV1 was detected by a conventional RT-PCR for specific amplification of PRV1, which was inspired by a RT-PCR with degenerated primers to amplify paramyxoviruses (van Boheemen et al., 2012; Neira et al., 2017). Thus, we designed the forward PRV1 F 5’-GAR GGT TAT TGT CAR AAA CTT TGG AC-3’ and reverse PRV1 F 5’-TCA CRG CAA TTG CTT GGT TRT CR CC-3’ primers, which amplified a 120 bp fragment (nt positions 10734 to 10854). Briefly, RNA was purified using Chomczynski-phenol solution (Winkler, BM-1755, Chile) and the RT-PCR was then carried out using the AgPath-ID™ One-Step RT-PCR Reagents kit (Life Technologies, 4387391, USA), following the manufacturer’s instructions. The RT-PCR master mix contained 12.5 µL of 2X RT-PCR Buffer, 1 µL of RT-PCR Enzyme Mix, 0.4 µM of each primer, and nuclease-free water until complete 20 µL. Five µL of template RNA (or nuclease free-water for a negative control) were added to complete a final reaction volume of 25 µL. RT-PCR was initiated at 45 °C for 10 min (reverse transcription), followed by 95 °C for 10 min (initial denaturation) and 40 cycles of 2-step cycling comprising denaturation at 95 °C for 15 s and annealing-extension at 60 °C for 45 s. The PCR products were run in 2% agarose gel at 120 V for 30 min.
Eleven positive RT-PCR samples were selected to attempt viral isolation in African green monkey kidney (Vero) cells (ATCC® CCL-81™, USA). This is a previously used cell line to grow other parainfluenza viruses, including respiroviruses (Henrickson, 2003; Eberle et al., 2016). Briefly, cells were grown in minimum essential medium (MEM) with Earle’s salts and L-glutamine (Corning, 10-010-CMR, USA) supplemented with 10% fetal bovine serum (GE Healthcare Life Sciences, SH30071.03, USA) and 1% antibiotic-antimycotic solution (Biological Industries, 03,033-1B, Israel). The inoculum was incubated for 1 h at 37 °C and 5% CO2. Then, the inoculum was removed, and MEM supplemented with 1% antibiotic-antimycotic solution and 1 μg/mL of trypsin treated with N-tosyl-L-phenylalanyl chloromethyl ketone (TPCK) was added. Cells were incubated at 37 °C and observed for cytopathic effect (CPE) daily for 5 days. Complementarily, the supernatant was tested by the previously described RT-PCR to confirm the presence of PRV1, after 2 passages.
A selection of 8 samples with strong PCR amplification was submitted for RNA sequencing at Icahn School of Medicine at Mount Sinai, NY, USA, and Veterinary Diagnostic Lab, College of Veterinary Medicine, University of Minnesota. Library preparation was performed using the Illumina TruSeq kit, after depletion of ribosomal RNAs with the Ribo-Zero™ Magnetic Gold Kit Human/Mouse/Rat (Illumina). Following paired-end (2 × 100 nt) sequencing on the Illumina HiSeq platform, raw reads were trimmed for quality using Trimommatic (Bolger et al., 2014). A fasta file containing all complete or near-complete genomes (>14k bp long) of respiroviruses (n = 641) was obtained from GenBank and used as a reference to extract all reads mapped to these sequences using the Burrows-Wheeler Aligner (BWA-MEM) and Samtools (Li and Durbin, 2009). The mapped reads were then assembled into contigs using SPAdes (Nurk et al., 2013). The contigs were aligned to an annotated reference (JX857409) and visualized using Icarus (Mikheenko et al., 2016). The contigs were further queried in BLAST (https://blast.ncbi.nlm.nih.gov/Blast.cgi) to determine their identity. The closest reference sequence (accession number JX857409) was used to create a final reference assembly with BWA-MEM and to create the final consensus sequences using Samtools mpileup. The consensus sequences were annotated using GATU (Tcherepanov et al., 2006). Phylogenetic analyzes were performed using the complete concatenated genome and all genes independently, using both nucleotide and amino acid sequences. All PRV1 reference sequences available in NCBI GenBank were used to construct the phylogeny (https://www.ncbi.nlm.nih.gov/genbank/). An outgroup for each protein-coding region phylogeny was obtained by querying the study sequence in BLASTX, and the closest Human respirovirus 1 sequence was selected. The sequences were aligned using MUSCLE v3.8.3 (Edgar, 2004). The phylogenetic trees were constructed by the maximum likelihood method using IQ-TREE with substitution model selection (ModelFinder implemented in IQ-TREE) option and 1000 bootstrap (Nguyen et al., 2014). Also, phylogenetic analysis using Bayesian inference in mrBayes 3.2.7 was performed to support the ML analyzes (Ronquist et al., 2012).
This study was performed at Animal Virology Laboratory, Department of Animal Preventive Medicine, Faculty of Veterinary and Animal Sciences, University of Chile. The protocols for animal sampling were approved by the Ethical Scientific Committee for Animals and Environment Care from the University of Chile, certificate number 17077 VET-UCH.
3. Results and Discussion
Thirty-one of 164 total samples (18.9%) were RT-PCR positive for PRV1. The overall diagnostic results are included in Table 1 and supplemental information Table 1. From all the six evaluated farms at least one positive sample was obtained, and the within-farm percentage of positive samples ranged between 6 and 40%. These results suggest that PRV1 is disseminated in Chilean swine farms, similar to the results found in the USA (Palinski et al., 2016). However, more studies with a higher number of samples and farms are needed to confirm the widespread of PRV1 in Chile. The virus was detected in all types of samples analyzed in this study: oral fluids (5/8, 62.5%), nasal swabs (23/121, 19.0%), and lungs (3/35, 8.6%). This is consistent with a previous study that also detected a higher percentage of positive samples in oral fluids and nasal swabs than in the lungs (Park et al., 2019). Palinski et al. (2016) showed that PRV1 replicates in epithelial cells of the upper respiratory tract, resulting in nasal shedding (Palinski et al., 2016). Therefore, oral fluids and nasal swabs are likely to be the best samples for detecting the virus.
Twenty-one of 31 (67,7%) PRV1-positive samples were also positive for IAV, by RT-PCR. No clinical symptoms have been associated directly with PRV1 during pathogenesis studies, raising the possibility that PRV1 infection is asymptomatic in the absence of additional factors, such as coinfections (Palinski et al., 2016). PRV1 has been previously detected in coinfections with IAV and PRRSV (Welch et al., 2017), although its relevance in the PRDC has not yet been evaluated. Due to the high percentage of samples positive for both PRV1 and IAV in this study, the role of PRV1 as a secondary pathogen in respiratory disease warrants further evaluation.
We were not able to isolate PRV1 in Vero cells. The supernatant was positive for PRV1 by RT-PCR in the first passage but became negative in the second passage. Previous studies described the difficulty of isolating PRV1 (Palinski et al., 2016). Recently, PRV1 was successfully isolated in LLC-MK2 cells (ATCC® CCL-7™) (Park et al., 2019). This cell line should be used in further studies to isolate Chilean PRV1 but is not yet available in the country.
We obtained next-generation sequencing reads of PRV1 in 7 of 8 samples. However, near-complete genomes were obtained only from 2 samples (Chile/VN140126763/2018 and Chile/VN14014564/2019) (Accession numbers pending), which were used for phylogeny. The final consensus sequences for both samples obtained by reference assembly represents ∼97% of the PRV1 genome. The Chile/VN140126763/2018 sample was obtained from 1,066 reads and assembled in 2 contigs with coverage of 7 × . On the other hand, the Chile/VN14014564/2019 sample was obtained from 843 reads and assembled in 5 contigs with coverage of 8 × . Even though some gaps were observed due to partial sequencing, the genomic organization is typical of viruses belonging to the family Paramyxoviridae containing all representative genes (N, P, M, F, HN, and L). For the Chile/VN14012673/2018 sample, the M, F, and HN genes were completely sequenced, and N (91,2%), P (97,2%), and L (99,8%) genes were partially sequenced. Nucleotide positions for the partial genes cover are detailed in supplemental information Table 2. For the Chile/VN14014564/2019 sample, the N, P, and M genes were completely sequences, and F (86,8%), HN (94,7%), and L (95%) were partially sequenced. The two near-complete genomes were obtained from samples belonged to 2 different farms with no geographical or epidemiological relationship. On the other hand, no other paramyxoviruses were obtained from the samples but reads related to Porcine Astrovirus, Porcine circovirus, and Suid Herpesvirus 2 were commonly found in all samples analyzed.
The Chilean PRV1s showed >95% nucleotide identity with PRV1 strains detected in China ( GenBank accession numbers: JX857409.1 - JX857411.1). Blastn results are included in supplemental information. We used all PRV1 available sequences for the phylogeny. For the genome, N, P, M, F and L genes the trees were constructed with 9 PRV1 reference sequences, while the phylogeny of the HN gene was constructed with 19 PRV1 reference sequences. An outgroup with a Human respirovirus 1 sequence was always included. The details of the substitution models used are described in Fig. 1 and supplemental information Figure 2. In general, the Chilean PRV1s were grouped into a sub-clade among Chinese PRV1 sequences, and the North American PRV1 sequences were grouped into another monophyletic cluster. The trees did not have high bootstrap values to determine a clear relationship of Chilean viruses to Asian or North American viruses (Fig. 1, Supplemental information Figure 2). However, the complete genome and the L gene trees had the highest bootstrap support, and the topology of the amino acid and nucleotide trees were more consistent and similar to the Bayesian analysis. The topology of these trees supports the close relationship between Chilean and Chinese PRV1 sequences and the presence of a North American monophyletic cluster. Overall, these results suggest that Chilean PRV1s are genetically related to strains from the USA and China, but, due to the limited information available, their origin cannot be determined.
4. Conclusion
This is the first report of PRV1 in the Southern Hemisphere. To date, PRV1 has only been reported in China and the USA. The results suggest that PRV1 is a ubiquitous virus in Chilean swine farms and that it is highly geographically distributed. It should be noted that the whole-genome sequencing was attempted in 8 samples and two PRV1 near to complete genome were obtained. Therefore, using only two sequenced strains, it was not possible to determine the genetic diversity of PRV1 in Chile. However, the results confirm the genetic relationship between Chilean and other PRV1s identified in China and the USA. Further studies are necessary to obtain the complete genome of Chilean PRV1 strains, determine the genetic diversity of this virus in the country, and its implication and importance in swine respiratory disease.
Data Availability statement
All the data that support this study are available upon request.
Funding
This study was partly funded by the Programa Fondecyt de Iniciación N° 11170877 to V.N; the Programa Beca Doctorado Nacional de CONICYT N° 3344/2016 to J.M; Programa de Investigación Asociativa from the Comisión Nacional de Investigación Científica y Tecnológica, project CONICYT-PIA Anillo ACT 1408 to R.A.M. and V.N. and the Center for Research in Influenza Pathogenesis (CRIP), a National Institute of Allergy and Infectious Diseases–funded Center of Excellence in Influenza Research and Surveillance (CEIRS), contract number HHSN272201400008C to H.V.B. and R.A.M.
Declaration of Competing Interest
The authors declare no conflict of interest.
Acknowledgments
We are grateful to the Chilean swine veterinarians for their support in sample collection. We also thank the staff of the Animal Virology Laboratory of University of Chile for its support processing samples.
Appendix A. Supplementary data
The following are Supplementary data to this article:
References
- Amarasinghe et al., 2018
- G.K. Amarasinghe, N.G. Aréchiga Ceballos, A.C. Banyard, C.F. Basler, S. Bavari, A.J. Bennett, K.R. Blasdell, T. Briese, A. Bukreyev, Y. Caì, C.H. Calisher, C. Campos Lawson, K. Chandran, C.A. Chapman, C.Y. Chiu, K.-S. Choi, P.L. Collins, R.G. Dietzgen, V.V. Dolja, O. Dolnik, L.L. Domier, R. Dürrwald, J.M. Dye, A.J. Easton, H. Ebihara, J.E. Echevarría, A.R. Fooks, P.B.H. Formenty, R.A.M. Fouchier, C.M. Freuling, E. Ghedin, T.L. Goldberg, R. Hewson, M. Horie, T.H. Hyndman, D. Jiāng, R. Kityo, G.P. Kobinger, H. Kondō, E.V. Koonin, M. Krupovic, G. Kurath, R.A. Lamb, B. Lee, E.M. Leroy, P. Maes, A. Maisner, D.A. Marston, S.K. Mor, T. Müller, E. Mühlberger, V.M.N. Ramírez, S.V. Netesov, T.F.F. Ng, N. Nowotny, G. Palacios, J.L. Patterson, J.T. Pawęska, S.L. Payne, K. Prieto, B.K. Rima, P. Rota, D. Rubbenstroth, M. Schwemmle, S. Siddell, S.J. Smither, Q. Song, T. Song, M.D. Stenglein, D.M. Stone, A. Takada, R.B. Tesh, L.M. Thomazelli, K. Tomonaga, N. Tordo, J.S. Towner, N. Vasilakis, S. Vázquez-Morón, C. Verdugo, V.E. Volchkov, V. Wahl, P.J. Walker, D. Wang, L.-F. Wang, J.F.X. Wellehan, M.R. Wiley, A.E. Whitfield, Y.I. Wolf, G. Yè, Y.-Z. Zhāng, J.H. KuhnTaxonomy of the order Mononegavirales: update 2018Arch. Virol. (2018), pp. 1-12, 10.1007/s00705-018-3814-x
- Amarasinghe et al., 2019
- G.K. Amarasinghe, M.A. Ayllón, Y. Bào, C.F. Basler, S. Bavari, K.R. Blasdell, T. Briese, P.A. Brown, A. Bukreyev, A. Balkema-Buschmann, U.J. Buchholz, C. Chabi-Jesus, K. Chandran, C. Chiapponi, I. Crozier, R.L. de Swart, R.G. Dietzgen, O. Dolnik, J.F. Drexler, R. Dürrwald, W.G. Dundon, W.P. Duprex, J.M. Dye, A.J. Easton, A.R. Fooks, P.B.H. Formenty, R.A.M. Fouchier, J. Freitas-Astúa, A. Griffiths, R. Hewson, M. Horie, T.H. Hyndman, D. Jiāng, E.W. Kitajima, G.P. Kobinger, H. Kondō, G. Kurath, I.V. Kuzmin, R.A. Lamb, A. Lavazza, B. Lee, D. Lelli, E.M. Leroy, J. Lǐ, P. Maes, S.Y.L. Marzano, A. Moreno, E. Mühlberger, S.V. Netesov, N. Nowotny, A. Nylund, A.L. Økland, G. Palacios, B. Pályi, J.T. Pawęska, S.L. Payne, A. Prosperi, P.L. Ramos-González, B.K. Rima, P. Rota, D. Rubbenstroth, M. Shī, P. Simmonds, S.J. Smither, E. Sozzi, K. Spann, M.D. Stenglein, D.M. Stone, A. Takada, R.B. Tesh, K. Tomonaga, N. Tordo, J.S. Towner, B. van den Hoogen, N. Vasilakis, V. Wahl, P.J. Walker, L.F. Wang, A.E. Whitfield, J.V. Williams, F.M. Zerbini, T. Zhāng, Y.Z. Zhang, J.H. KuhnTaxonomy of the order Mononegavirales: update 2019Arch. Virol., 164 (2019), pp. 1967-1980, 10.1007/s00705-019-04247-4
- Bolger et al., 2014
- A.M. Bolger, M. Lohse, B. UsadelTrimmomatic: a flexible trimmer for Illumina sequence dataBioinformatics, 30 (2014), pp. 2114-2120, 10.1093/bioinformatics/btu170
- Eberle et al., 2016
- K.C. Eberle, J.L. McGill, T.A. Reinhardt, R.E. SaccoParainfluenza Virus 3 Blocks Antiviral Mediators Downstream of the Interferon Lambda Receptor by Modulating Stat1 PhosphorylationJ. Virol., 90 (2016), pp. 2948-2958, 10.1128/jvi.02502-15
- Edgar, 2004
- R.C. EdgarMUSCLE: Multiple sequence alignment with high accuracy and high throughputNucleic Acids Res., 32 (2004), pp. 1792-1797, 10.1093/nar/gkh340
- Henrickson, 2003
- K.J. HenricksonParainfluenza virusesClin. Microbiol. Rev., 16 (2003), pp. 242-264, 10.1128/cmr.16.2.242-264.2003
- Lau et al., 2013
- S.K.P. Lau, P.C.Y. Woo, Y. Wu, A.Y.P. Wong, B.H.L. Wong, C.C.Y. Lau, R.Y.Y. Fan, J.P. Cai, H.W. Tsoi, K.H. Chan, K.Y. YuenIdentification and characterization of a novel paramyxovirus, porcine parainfluenza virus 1, from deceased pigsJ. Gen. Virol., 94 (2013), pp. 2184-2190, 10.1099/vir.0.052985-0
- Li and Durbin, 2009
- H. Li, R. DurbinFast and accurate short read alignment with Burrows-Wheeler transformBioinformatics, 25 (2009), pp. 1754-1760, 10.1093/bioinformatics/btp324
- Li et al., 2016
- W. Li, F. Hao, L. Mao, Z. Wang, T. Zhou, J. Deng, J. Li, W. Zhang, L. Yang, Y. Lv, J. JiangPathogenicity and horizontal transmission studies of caprine parainfluenza virus type 3 JS2013 strain in goatsVirus Res., 223 (2016), pp. 80-87, 10.1016/j.virusres.2016.06.021
- Maclachlan et al., 2017
- N. Maclachlan, E. Dubovi, S. Barthold, D. Swayne, J. WintonFenner’s Veterinary VirologyFenner’s Veterinary Virology (2017), pp. 327-356, 10.1016/B978-0-12-800946-8.00017-9
- Mikheenko et al., 2016
- A. Mikheenko, G. Valin, A. Prjibelski, V. Saveliev, A. GurevichIcarus: visualizer for de novo assembly evaluationBioinformatics, 32 (2016), pp. 3321-3323, 10.1093/bioinformatics/btw379
- Neira et al., 2017
- V. Neira, R. Tapia, C. Verdugo, G. Barriga, S. Mor, T.F.F. Ng, V. García, Río J. Del, P. Rodrigues, C. Briceño, R.A. Medina, D. González-AcuñaNovel Avulaviruses in PenguinsAntarctica. Emerg. Infect. Dis. J., 23 (2017), 10.3201/eid2307.170054
- Nguyen et al., 2014
- L.-T. Nguyen, H.A. Schmidt, A. von Haeseler, B.Q. MinhIQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood PhylogeniesMol. Biol. Evol., 32 (2014), pp. 268-274, 10.1093/molbev/msu300
- Nurk et al., 2013
- S. Nurk, A. Bankevich, D. Antipov, A. Gurevich, A. Korobeynikov, A. Lapidus, A. Prjibelsky, A. Pyshkin, A. Sirotkin, Y. Sirotkin, R. Stepanauskas, J. McLean, R. Lasken, S.R. Clingenpeel, T. Woyke, G. Tesler, M.A. Alekseyev, P.A. PevznerAssembling genomes and mini-metagenomes from highly chimeric readsLecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2013), pp. 158-170, 10.1007/978-3-642-37195-0_13
- Palinski et al., 2016
- R.M. Palinski, Z. Chen, J.N. Henningson, Y. Lang, R.R.R. Rowland, Y. Fang, J. Prickett, P.C. Gauger, B.M. HauseWidespread detection and characterization of porcine parainfluenza virus 1 in pigs in the USAJ. Gen. Virol., 97 (2016), pp. 281-286, 10.1099/jgv.0.000343
- Park et al., 2017
- J.Y. Park, M. Welch, K.M. Harmon, J. Zhang, P.E. Piñeyro, G. Li, P.C. GaugerComplete genome sequence of Porcine respirovirus 1 strain USA/MN25890NS/2016, isolated in the United StatesGenome Announc., 5 (2017), 10.1128/genomeA.01139-17
- Park et al., 2019
- J.Y. Park, M.W. Welch, K.M. Harmon, J. Zhang, P.E. Piñeyro, G. Li, B.M. Hause, P.C. GaugerDetection, isolation, and in vitro characterization of porcine parainfluenza virus type 1 isolated from respiratory diagnostic specimens in swineVet. Microbiol., 228 (2019), pp. 219-225, 10.1016/j.vetmic.2018.12.002
- Ronquist et al., 2012
- F. Ronquist, M. Teslenko, P. Van Der Mark, D.L. Ayres, A. Darling, S. Höhna, B. Larget, L. Liu, M.A. Suchard, J.P. HuelsenbeckMrbayes 3.2: Efficient bayesian phylogenetic inference and model choice across a large model spaceSyst. Biol., 61 (2012), pp. 539-542, 10.1093/sysbio/sys029
- Tcherepanov et al., 2006
- V. Tcherepanov, A. Ehlers, C. UptonGenome Annotation Transfer Utility (GATU): rapid annotation of viral genomes using a closely related reference genomeBMC Genomics, 7 (2006), p. 150, 10.1186/1471-2164-7-150
- van Boheemen et al., 2012
- S. van Boheemen, T.M. Bestebroer, J.H. Verhagen, A.D.M.E. Osterhaus, S.D. Pas, S. Herfst, R.A.M. FouchierA family-wide rt-pcr assay for detection of paramyxoviruses and application to a large-scale surveillance studyPLoS One, 7 (2012), 10.1371/journal.pone.0034961
- Welch et al., 2017
- M. Welch, J. Park, P. Gauger, K. Harmon, K. LinAnimal Industry Report Animal Industry Report Animal Industry Report Summary of Veterinary Diagnostic Laboratory Data Summary of Veterinary Diagnostic Laboratory Data Recommended Citation Recommended Citation(2017), 10.31274/ans_air-180814-389