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J Gen Virol 89 (2008), 1643-1648; DOI 10.1099/vir.0.2008/000026-0

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Short Communication

Identification of two distinct bovine parainfluenza virus type 3 genotypes

Paul Francis Horwood, Jennifer Lillian Gravel and Timothy John Mahony

Department of Primary Industries and Fisheries, Ritchie Building 64A, Level 3, C Wing, Research Road, St Lucia, QLD 4072, Australia

Correspondence
Paul Francis Horwood
paul.horwood{at}dpi.qld.gov.au


   ABSTRACT
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The partial gene sequencing of the matrix (M) protein from seven clinical isolates of bovine parainfluenza virus type 3 (BPIV-3), and the complete sequencing of a representative isolate (Q5592) was completed in this study. Nucleotide sequence analysis was initiated because of the failure of in-house BPIV-3 RT-PCR methods to yield expected products for four of the isolates. Phylogenetic reconstructions based on the nucleotide sequences for the M-protein and the entire genome, using all of the available BPIV-3 nucleotide sequences, demonstrated that there were two distinct BPIV-3 genotypes (BPIV-3a and BPIV-3b). These newly identified genotypes have implications for the development of BPIV-3 molecular detection methods and may also impact on BPIV-3 vaccine formulations.

The GenBank/EMBL/DDBJ accession numbers for the sequences reported in this paper are EF108221–EF108225, EU266069 and EU277658.

Supplementary figures are available with the online version of this paper.


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Bovine parainfluenza virus type 3 (BPIV-3) is an enveloped, non-segmented, negative-sense RNA virus within the genus Respirovirus (Murphy et al., 1995Down). Other viruses in this group include human parainfluenza virus types 1 and 3 (HPIV-1 and HPIV-3) and Sendai virus. The clinical presentation of bovine infections with BPIV-3 can vary considerably, ranging from asymptomatic infections to severe respiratory illness. In the majority of cases where BPIV-3 is implicated in disease, mild clinical signs characterized by coughing, fever and nasal discharge are observed (Dinter & Morein, 1990Down). In some instances where animals are also subjected to high stress, infection with BPIV-3 can contribute to tissue damage and immunosuppression, resulting in severe bronchopneumonia from secondary bacterial infections (Haanes et al., 1997Down). The resulting disease is known as bovine respiratory disease complex (BRDC) and is considered the most significant illness associated with feedlot cattle in the USA (Snowder et al., 2006Down) and possibly worldwide. Other respiratory viruses such as bovine herpesvirus 1, bovine viral diarrhea virus (BVDV) and bovine respiratory syncytial virus (BRSV) have also been associated with BRDC development in feedlot cattle.

The complete nucleotide sequences for three isolates of BPIV-3 have previously been determined (Sakai et al., 1987Down; Bailly et al., 2000Down). The variation between these isolates is limited, with greater than 92 % nucleotide identity across the entire genome, and reflects similar levels of conservation displayed between HPIV-3 isolates. In this study, sequence analyses of the matrix (M) protein coding region for seven Australian isolates of BPIV-3 and the complete genome of a representative isolate, indicated that this viral species can be classified into two distinct genotypes, BPIV-3 genotype A (BPIV-3a) and BPIV-3 genotype B (BPIV-3b). Strains of BPIV-3 and HPIV-3 have previously been described with sequence polymorphisms (Coelingh & Winter, 1990Down; Swierkosz et al., 1995Down) and different characteristics in cell culture (Breker-Klassen et al., 1996Down; Shibuta et al., 1983Down). However, the low degree of nucleotide variation reported did not identify distinct groups of BPIV-3.

Seven BPIV-3 isolates (Table 1Down) from clinical samples and historical collections were grown in CRIB-1 cells (Flores & Donis, 1995Down) using standard methods. Viral nucleic acids were extracted from 200 µl of cell culture supernatant using the High Pure Viral Nucleic Acid Extraction kit (Roche) and stored at –80 °C until required. The failure of in-house BPIV-3 RT-PCR methods to yield expected products for four of the isolates (Q5592, BP4158, BP4169 and BP6128) prompted further investigations into the characteristics of these viruses.


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Table 1. BPIV-3 and HPIV-3 strains and GenBank sequences utilized in this study

 
Both morphology and anti-BPIV-3 antibody recognition confirmed that all isolates were BPIV-3. Incubation of infected CRIB-1 cells with anti-BPIV-3 polyclonal antibodies conjugated to fluorescein isothiocyanate (VMRD) demonstrated strong and specific binding of anti-BPIV-3 to all clinical isolates tested, when compared with uninfected cells (see Supplementary Fig. S1 available in JGV Online). No differences in the cellular distribution or intensity of fluorescence were observed between isolates. Additionally, the Q5592 isolate was examined by electron microscopy along with BPI3JCU for comparison. Both strains exhibited typical BPIV-3 morphology with spherical or pleomorphic particles of approximately 100 nm in diameter and large external spikes measuring approximately 10 nm in length (see Supplementary Fig. S2 available in JGV Online).

Primers specific to the M-protein gene of BPIV-3 were utilized to generate sequence data for phylogenetic analysis. The primers RspV1 (5'-GATCAGGAACTCTTAAAGGC-3') (Halpin, 2000Down) and MR2 (5'-TTTTCCCGACCCCTTCTAT-3') amplified a 739 bp product using the following RT-PCR conditions. Viral RNA was reverse transcribed in a 20 µl reaction mix, containing 5 µl nucleic acid sample, 1x StrataScript buffer (Stratagene), 20 U StrataScript RT (Stratagene), 5 U RNasin (Promega), 0.5 mM dNTPs (Promega), 1 µM each primer and sterile deionized water, at 42 °C for 60 min followed by 90 °C for 5 min. PCR amplification was carried out in a 50 µl reaction volume, containing 3 µl cDNA, 1 µM each primer, 25 µl HotStar Taq Mastermix (Qiagen), and sterile deionized water. The PCR cycling parameters were: 95 °C denaturing for 15 min, followed by 30 cycles of 95 °C for 1 min, 50 °C for 1 min and 72 °C for 1 min, and a final extension cycle at 72 °C for 10 min. The amplification products were resolved by 1 % (w/v) agarose gel electrophoresis.

RT-PCR with the RspV1 and MR2 primers produced an amplicon, consistent with the expected size of 739 bp, from all of the BPIV-3 isolates tested. Gel-purified amplification products were ligated into the pGEM-T Vector System (Promega) and subsequently cloned according to the manufacturer's instructions. The nucleotide sequences of plasmid inserts were determined by automated DNA sequencing using BigDye Terminator chemistry (ABI BigDye Terminator version 3.1). Contiguous nucleotide sequences were assembled using the computer software Sequencher (GeneCodes) and all nucleotide positions were confirmed by three or more independent sequencing reactions in both directions. Putative amino acid sequences were generated following BLASTX search routines (Altschul et al., 1990Down). BPIV-3 sequences were retrieved from GenBank (Table 1Up) for phylogenetic analyses. Nucleotide and amino acid alignments were generated using the computer program GeneDoc (Nicholas et al., 1997Down).

Sequence analyses of the region amplified by the RspV1 and MR2 primer pair revealed that three of the isolates, BPI3JCU, BP6121 and BP7393 displayed greater than 93 % nucleotide identity when compared to the BPIV-3 type strain Kanas/15626/84 (Ka). In contrast, the nucleotide identity between the remaining four isolates sequenced (Q5592, BP4158, BP4169 and BP6128) and the Ka type strain varied from 83.9 to 84.5 %. This group of four isolates displayed greater than 79 unique base changes from previously reported BPIV-3 isolates and the BPI3JCU, BP6121 and BP7393 isolates that were also sequenced as part of this study. The level of conservation within this group of four isolates was high, with greater than 98 % nucleotide identity between isolates. Alignment of the putative amino acid sequences demonstrated a much higher conservation than nucleotide sequences between all BPIV-3 isolates and also the HPIV-3 isolates that were included in the alignment. The identity between the putative amino acid sequences of the BPIV-3 isolates was greater than 95 %, and greater than 93 % when BPIV-3 isolates were compared to the HPIV-3 isolates.

To ascertain if the observed nucleotide sequence variation was universal throughout the BPIV-3 genome, and not limited to the M-gene, the complete genome sequence was determined for the isolate Q5592. Twenty-two primer sets were designed to amplify overlapping regions of the complete BPIV-3 genome. Primers were designed manually using the complete genome alignments of BPIV-3 (AF178654 [GenBank] , AF178655 [GenBank] and D84095 [GenBank] ) and HPIV-3 (Z11575 [GenBank] and NC_001796 [GenBank] ) sequences from GenBank. Genomic leader and trailer sequences were derived using the 5'–3' RACE kit (Roche) according to the manufacturer's instructions. Contiguous nucleotide sequences were assembled using the computer software Sequencher and all nucleotide positions were confirmed by three or more independent sequencing reactions for both cDNA strands. The complete Q5592 genome sequence was compiled from overlapping sequences of the Q5592 amplicons. Comparative analysis with the BPIV-3 strain Ka genome sequence from GenBank was used to identify coding regions, and putative amino acid sequences were generated following BLASTX search routines (Altschul et al., 1990Down). Nucleotide and putative amino acid sequence alignments were generated manually using the computer program GeneDoc with BPIV-3 and HPIV-3 sequences retrieved from GenBank (Table 1Up).

The Q5592 isolate varied considerably from the previously characterized BPIV-3 strains in all of the coding and non-coding regions of the genome (Table 2Down). The range of nucleotide identities for the BPIV-3 coding regions between Q5592 and other BPIV-3 strains was 82.0–85.8 %, whereas the range of nucleotide identities between the type strain Ka and other BPIV-3 strains was 91.7–98.8 %. The nucleotide identities for the complete genome were 82.6–83.1 % between Q5592 and other BPIV-3 strains, and 92.3–98.2 % between Ka and other BPIV-3 strains.


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Table 2. The nucleotide and putative amino acid identities of Q5592 (BPIV-3b) and Ka (BPIV-3a) compared to two BPIV-3 isolates (SF and 910N) and an HPIV-3 isolate (JS)

 
The complete genome of the Q5592 isolate was 15498 nt in length, which was 18 bases longer than the longest previously reported parainfluenza virus type 3 (PIV-3) genome (BPIV-3 strain 910N – 15480 nt). The Q5592 genome length is consistent with the genome length of a multiple of six (the ‘rule of six’), which has been found with all of the previously sequenced PIV-3 isolates and certain other paramyxoviruses such as Sendai virus and measles virus (Durbin et al., 1997Down). The longer genome length of the Q5592 isolate was due to two unique inserts, totalling 30 nt, in the untranslated region (UTR) between the fusion (F) and haemagglutinin/neuraminidase (HN) glycoproteins, and another unique insert of 12 nt that was present in the UTR between the M and F proteins.

Nucleotide sequence alignments of the M-protein coding regions and complete genomes were used for phylogenetic analyses using the computer program MEGA 3.1 (Kumar et al., 2004Down). Phylogenetic trees were determined by bootstrap analysis (500 replicates) using the neighbour-joining program with the Kimura two-parameter method for nucleotide data analysis. Phylogenetic reconstructions based on the alignment of the M-gene nucleotide sequences demonstrated that four of the isolates, Q5592, BP4158, BP4169 and BP6128, clustered into a very distinct group. This group was readily identified from the other BPIV-3 isolates and also from HPIV-3. The clustering is clearly demonstrated in the radiation-style tree illustrated in Fig. 1Down, where BPIV-3b is distinct from the previously characterized members of BPIV-3 represented by genotype A. Phylogenetic reconstructions based on the nucleotide sequences of BPIV-3 and HPIV-3 complete genomes demonstrated that the Q5592 isolate, representing BPIV-3b, formed a distinct lineage separate from the previously identified BPIV-3 and HPIV-3 groups (Fig. 1Down). The phylogenetic tree produced from the complete genome nucleotide sequence was almost identical to the phylogenetic tree produced from the M-gene nucleotide data (Fig. 1Down). This finding supports the use of the M-gene of PIV-3 as an appropriate target for the generation of informative phylogenetic reconstructions.


Figure 1
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Fig. 1. Nucleotide phylogenetic analysis of BPIV-3 and HPIV-3 complete genome sequences (a) and partial M-gene nucleotide sequences (b), displaying two distinct genotypes of BPIV-3. The trees were prepared by bootstrap analysis using the neighbour-joining method. The numbers over the branches indicate the percentage of 500 bootstrap replicates that support each phylogenetic branch. Strain information and GenBank accession numbers are presented in Table 1Up.

 
Only a small number of BPIV-3 genome sequences have been reported (Sakai et al., 1987Down; Bailly et al., 2000Down). To date, this study is the most comprehensive sequencing survey of clinical BPIV-3 isolates. Therefore, it is difficult to accurately assess whether the level of genetic variation identified here is typical of the BPIV-3 species as a whole, or if genotype B is an isolated variant lineage. However, it is interesting that genotype B has only been identified in Australia, which is geographically removed from other cattle breeding countries, and enforces strict quarantine measures. The recognition of a previously unidentified genotype of BPIV-3 is reliant upon sequence analysis of a greater number of BPIV-3 isolates from a wide geographical distribution. The validity of the two proposed genotypes for BPIV-3 may also require further immunological validation to determine their significance for vaccine development purposes, as has been recognized for the BRSV subgroups (Schrijver et al., 1997Down). However, even in the absence of significant immunological differences, variant genotypes from other viruses have been implicated in playing significant roles in disease. An example of this is BVDV, where there are seven recognized genotypes based on nucleotide sequence analyses (Mahony et al., 2005Down). Despite the large number of genotypes, there appears to be a correlation between particular genotypes and the development of BRDC in feedlot cattle (Fulton et al., 2005Down). The recognition of sequence variability, and hence two distinct BPIV-3 genotypes, is also significant because current RT-PCR methods have specifically been designed to detect BPIV-3 on the basis of existing sequence data and provides the basis for generating false-negative data.

The BPIV-3b genotype could hypothetically be a lineage from a strain that recently crossed from another host species into cattle. PIV-3 infections have been serologically demonstrated in a wide variety of mammals including cattle, humans, sheep (Lyon et al., 1997Down), goats (Yener et al., 2005Down), bison (Zarnke & Erickson, 1990Down), guinea pigs (Ohsawa et al., 1998Down), black and white rhinoceros (Fischer-Tenhagen et al., 2000Down), moose (Thorsen & Henderson, 1971Down), bighorn sheep (Parks et al., 1972Down) and camels (Eisa et al., 1979Down). Cross-species infections have been reported in numerous instances including HPIV-3 in guinea pigs (Ohsawa et al., 1998Down), BPIV-3 in a human (Ben-Ishai et al., 1980Down), BPIV-3 in sheep and ovine PIV-3 in cattle (Stevenson & Hore, 1970Down). Further sequence analysis of BPIV-3 isolates from a larger number of host species will be essential to fully elucidate the relationship between the various host strains of PIV-3. The relative divergence of the BPIV-3b genotype when compared with BPIV-3a and HPIV-3 suggests that viruses from this genotype may play an important role in further studies to elucidate host-specificity and viral gene function in the genus Respirovirus.


   ACKNOWLEDGEMENTS
 
The authors wish to thank Dr Bruce Corney and Dr Ibrahim Diallo of the Department of Primary Industries and Fisheries, Queensland and Dr Jan Smith of James Cook University for the provision of viral samples and clinical information. This work was supported by grant FLOT.224 from Meat and Livestock Australia.


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Received 1 January 2008; accepted 28 February 2008.



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