Nick Vereecke1, Lise Kirstine Kvisgaard2, Guy Baele3, Carine Boone1, Marius Kunze4, Lars Erik Larsen2, Sebastiaan Theuns5, Hans Nauwynck1. 1. Laboratory of Virology, Faculty of Veterinary Medicine, Ghent University, Merelbeke 9280, Belgium. 2. Veterinary Clinical Microbiology, Department of Veterinary and Animal Sciences, University of Copenhagen, Copenhagen 1050, Denmark. 3. Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven 3000, Belgium. 4. Boehringer Ingelheim Vetmedica GmbH, Binger Str. 173, Ingelheim am Rhein 55216, Germany. 5. PathoSense BV, Lier 2500, Belgium.
Porcine Parvovirus Type 1 (PPV1) has been circulating in swine herds, resulting in reproductive losses in the swine industry since the 1960s. Since 1967, it has been associated with reproductive failure and is considered as one of the primary agents of stillbirth, mummification, embryonic death, and infertility (SMEDI) (Mayr and Mahnel 1964; Streck and Truyen 2020). During a PPV1 infection, embryos and fetuses of susceptible sows may become infected, which is not surprising as parvoviruses are known to replicate in dividing cells (S-phase) (Cotmore and Tattersall 2007). No treatment is available against PPV1 infection, thus strict biosecurity measures and vaccination have become general practice. The first commercial inactivated vaccines, based on the cell-culture-attenuated NADL-2 strain, became available in the 1980s (Suzuki and Fujisaki 1976; Joo and Johnson 1977; Mengeling et al. 1979; Streck et al. 2013). Since then, several other vaccines have been developed. Despite significant vaccination efforts and improved health management in the swine industry, the number of PPV1-positive SMEDI cases increased from 0.5 per cent in 2017 up to 9.2 per cent in 2019 in Belgium (Activiteitenrapport 2020 Veepeiler Varken; DGZ Vlaanderen). Similarly, in Denmark, less than 5 per cent of the submitted fetuses tested positive for PPV1 until 2015, but from 2015 to 2021 an average of 17.4 per cent of the submitted fetuses tested positive (figures kindly provided by the Danish Pig Research Center). As described by Zimmerman and colleagues in 2006, a new antigenic PPV1 variant, designated 27a, was detected in Germany in the early 2000s. With distinct capsid amino acids, a new phylogenetic cluster was identified (Zimmermann et al. 2006). Moreover, infections and vaccination with heterologous Genotype 2 strains (e.g. NADL-2 and 143a) did not result in cross-neutralizing antibodies against this 27a strain (Zeeuw et al. 2007). In Europe, a predominance of 27a-like PPV1 strains was observed, suggesting that the appearance of 27a-like strains is the result of viral adaptation that occurred over the last 10–30 years due to vaccination pressure in a partially immune swine population (Cadar et al. 2012; Streck and Truyen 2020).PPV1 is a virus belonging to the family Parvoviridae, showing the typical genomic characteristics of a small single-stranded non-enveloped DNA virus. Its genome (approximately 5 kb) is built up of two terminal hairpins and two major open reading frames (ORFs), including non-structural (NS1, NS2, and NS3) and structural proteins (VP1, VP2, and VP3), which originate from alternative splicing events (Bergeron, Hébert, and Tijssen 1996). Over the last decades, the genetic diversity of the PPV1 was studied extensively by looking at its (partial) VP1/2 or NS1 sequence, which allowed to establish genetic classification systems resulting in either two (Zimmermann et al. 2006), three (Ren et al. 2013), four (Oh et al. 2017), six (Cadar et al. 2012), or seven (Streck, Canal, and Truyen 2015) distinct PPV1 clades. The evolutionary rate of the capsid genes was estimated to be in the range of RNA viruses (10–4 nucleotide substitutions per site per year; (Streck et al. 2011; Cadar et al. 2012; Ren et al. 2013)). Increased sequencing efforts allowed a more accurate estimation of 3.3 × 10−5 nucleotide substitutions per site per year, which is higher than the evolutionary rate of its non-structural genes and lower than that of prototypic RNA viruses (Oh et al. 2017). The surface proteins assemble into a compact icosahedral capsid consisting of sixty identical VP1/VP2 copies, represented in a 1:5 ratio (Fig. 1A–B) (Simpson et al. 2002). These twelve VP1 molecules play an important role in particle assembly, DNA packaging, and infectivity, mediated through a phospholipase 2 (PLA2) domain and linear nuclear localization motifs (Fig. 1D) (Tullis, Burger, and Pintel 1993; Cotmore and Tattersall 2007). Each of three VP1/2 copies assemble into a trimer, resulting in an extrusion at the three-fold axis and a two-fold dimple (Fig. 1). While the three-fold extrusions serve as the main protein receptors and neutralizing antibody binding sites, the two-fold dimple determines tissue specificity and oligosaccharide recognition (Fig. 1D). Specific VP1 amino acid changes (Thr214, Gly378, and Pro436) have been associated with host tropism in tissue cultures, immune response, and hemagglutination activity based on studies with the attenuated NADL-2 strain. However, no clear link with altered antigenicity has been observed so far (Bergeron, Hébert, and Tijssen 1996; Cotmore and Tattersall 2007; Streck, Canal, and Truyen 2015).
Figure 1.
Comprehensive overview of the PPV1 virion. (A) Overall PPV1 capsid structure showing five-fold axes (left) and three- and two-fold (black arrows) axes (right) when centered on the pore and VP2 trimer, respectively. Capsid extrusions, dimples, and five-fold pores are colored in shades of red, gray, and dark gray, respectively; (B) Intersection of pore and VP2-trimer-centered capsid structures, showing a hypothesized VP1 peptide representation (1:5 ratio) at pore interior. Black arrows represent the two-fold dimple between two adjacent VP2 trimers; (C) VP2 trimer representation from side (left) and front (right) orientation; (D) Single VP1/VP2 structure in surface (left) and cartoon (right) representation, highlighting the four major loops (shades of red) and hypothesized VP1 peptide at its 5ʹ end (green). This additional VP1 peptide harbors three linear nuclear localization motifs (LNCM; light green) and a unique PLA2 domain (PLA2; blue). All representations are based on the 1K3V VP2 structure (Tsao et al. 1991; Simpson et al. 2002).
Comprehensive overview of the PPV1 virion. (A) Overall PPV1 capsid structure showing five-fold axes (left) and three- and two-fold (black arrows) axes (right) when centered on the pore and VP2 trimer, respectively. Capsid extrusions, dimples, and five-fold pores are colored in shades of red, gray, and dark gray, respectively; (B) Intersection of pore and VP2-trimer-centered capsid structures, showing a hypothesized VP1 peptide representation (1:5 ratio) at pore interior. Black arrows represent the two-fold dimple between two adjacent VP2 trimers; (C) VP2 trimer representation from side (left) and front (right) orientation; (D) Single VP1/VP2 structure in surface (left) and cartoon (right) representation, highlighting the four major loops (shades of red) and hypothesized VP1 peptide at its 5ʹ end (green). This additional VP1 peptide harbors three linear nuclear localization motifs (LNCM; light green) and a unique PLA2 domain (PLA2; blue). All representations are based on the 1K3V VP2 structure (Tsao et al. 1991; Simpson et al. 2002).This work focuses on studying the molecular epidemiology of PPV1 strains that are available in genetic databases, supplemented with eighty-seven newly sequenced strains, including strains from Denmark (n = 64), France (n = 7), The Netherlands (n = 7), Germany (n = 4), Belgium (n = 2), the USA (n = 2), and Great Britain (n = 1). The reactivity analyses of antisera obtained from pigs after experimental vaccination with three commercially available vaccines against historical and current PPV1 strains from different clades were also completed.
Total DNA of Danish strains (n = 64; sampled between 2006 and 2021) was extracted manually from cell culture isolates or the primary material (e.g. 20 per cent w/v suspensions of mummified fetal organs) using the QIAamp DNA Mini Kit (QIAGEN, cat. no. 51304) following the manufacturer’s guidelines. The ORF2 encoding the VP1/2/3 genes was amplified by conventional polymerase chain reaction (PCR) using three overlapping primer sets: F2030/R3000; F2562/R3698; and F3570/R4498 (Cadar et al. 2012). The PCR amplification was performed with the AccuPrime Taq DNA High Fidelity (Invitrogen cat. no. 12346-086) as described by the manufacturer using 5 µl of DNA as template. The PCR was run under the following conditions: 2 min 95°C, [35 cycles. 95°C, 15 s; 58°C, 30 s; 72°C, 90 s], 72°C, 10 min; pause 4°C. The PCR products were analyzed by 0.8 per cent agarose gel electrophoresis, and the PCR products of the expected size were purified using Roche’s High Pure PCR product purification kit (cat. no. 11 732 676 001). The samples were prepared for Sanger sequencing at LGC Genomics GmbH, Berlin, with the PCR primers as sequencing primers. The raw sequencing data were assembled against a PPV1 reference sequence using the software CLC main workbench v20.0.4 (QIAGEN). An overview of these strains, their epidemiological relationship, and accompanying accession numbers is available in Supplementary Table S1.
Generation of PPV1 VP1 dataset and evaluation of temporal signal within the dataset
All new VP1/VP2/VP3 sequences (n = 87) were aligned against the available sequences on GenBank (accessed on 21 October 2015) using MAFFT (v.7.310; (Katoh and Standley 2013)). Sequences with incomplete VP1 (<2,190 nt) were removed from the alignment along with sequences showing traces of putative recombination events. The latter was assessed in a preliminary recombination screening using the recombination detection program (RDP) (v.4.99; (Martin et al. 2015)) including the GENECONV, Chimaera, MaxChi, 3Seq, BootScan, SiScan, and RDP approaches. All methods were run using the recommended settings. Sequences showing significant recombinations by three or more methods were removed from the alignment in an iterative way (n = 2; (Sabir et al. 2016)). To evaluate if the PPV1 sampling time window showed sufficient measurable evolution, a Bayesian Evaluation of Temporal Signal (BETS) analysis was performed (Duchene et al. 2020). The BETS analysis was performed for both a strict clock (SC) and a relaxed clock (RC) model with an underlying lognormal distribution, using generalized stepping-stone sampling to accurately estimate each log marginal likelihood (Baele, Lemey, and Suchard 2016). In addition, potential outliers that would render molecular clock estimation difficult were evaluated in TempEst (v.1.5.3; (Rambaut et al. 2016)) after generating a maximum likelihood (ML) phylogenetic tree with IQ-TREE (v.1.6.1; -m GTR + G; (Chernomor, Von Haeseler, and Minh 2016)). No sequences were considered as outliers.
Molecular phylodynamic analyses and generation of a maximum clade credibility tree
Since the BETS and TempEst analyses showed sufficient temporal signal to be present within our dataset, a Bayesian Evolutionary Analysis Sampling Trees (BEAST; v.1.10.4; (Suchard et al. 2018)) analysis was subsequently performed to estimate a time-calibrated phylogeny by employing a GTR + G + I nucleotide substitution model and uncorrelated RC model with an underlying lognormal distribution. A Bayesian Skygrid coalescent model with Hamiltonian Monte Carlo sampling was used to estimate past population dynamics with a cut-off date of 150 years and seventy-five population sizes, respectively (Gill et al. 2013; Baele et al. 2020). To ensure that convergence (Effective Sampling Size > 200) for all studied parameters was reached, log and maximum clade credibility (MCC) tree files of eight independent BEAST runs (500,000,000 iterations each chain and sampling every 50,000th iteration) were combined using LogCombiner (BEAST; v.1.10.4; (Suchard et al. 2018)) and further analyzed in Tracer using a 10 per cent burn-in (v.1.7.2; (Rambaut et al. 2018)), TreeAnnotator (BEAST; v.1.10.4; (Suchard et al. 2018)), and FigTree (v. 1.4.4; https://github.com/rambaut/figtree/). The estimated rates and ancestral dates are represented as mean with accompanying 95 per cent Highest Posterior Density (HPD) interval. To address biological relevance of PPV1 clusters, an ML tree (1,000 bootstraps; GTR + G + I) along with a pairwise amino acid diversity matrix was generated in MEGA (v.11; (Tamura, Stecher, and Kumar 2021)). The latter allowed to construct pairwise identity graphs to assess intra- and inter-cluster pairwise identity frequencies based on MCC tree clusters (Matthijnssens et al. 2008).
Assessing the immunogenicity of commercial PPV1 vaccines
Evaluation of the temporal signal within the PPV1 VP1 dataset
First, the PPV1 VP1 dataset was assessed on potential recombination events using RDP4. Only two sequences (16WS CHN 2013; KM268633 and N2 KOR 2018; MH817779) were removed, showing a recombination signal in three or more used methods. Next, the BETS and TempEst analyses allowed to address the question if sufficient temporal signal was present within the sampling time window of the studied sequences. This analysis strongly supported the presence of a temporal signal within the dataset and opted in favor of an uncorrelated RC model (log Marginal Likelihood Estimation: −7435.86 vs. log MLE: −7455.80 without dates) above a SC model (log MLE: −7461.46 vs. log MLE: −7486.18 without dates). Also, the preliminary TempEst analysis showed a proper root-to-tip plot of the sequences with an estimated evolutionary rate of 2.61 × 10−5 nucleotide substitutions per site per year and estimated time to most recent common ancestor around 1668.
Estimation of PPV1 population dynamics using molecular phylodynamics
Since the preliminary BETS and TempEst analyses showed sufficient support for molecular clock estimation to perform time-calibrated phylogenetic inference, an in-depth BEAST analysis was performed. The phylodynamic analysis with an uncorrelated RC model estimated the evolutionary rate and root age to be around 4.71 × 10−5 nucleotide substitutions per site per year [2.1 × 10−5, 7.6 × 10−5] and 1855 [1737, 1933], respectively. The Bayesian Skygrid coalescent model allowed to assess and visualize the PPV1 population dynamics across years based on the genetic diversity of the PPV1 dataset. As shown in Fig. 2, gradual PPV1 population growth is shown from its founder up to the 1980s, followed by a significant increase in the PPV1 population up to the late 1990s. From then on, a steep decline was observed up to mid-2010s, resulting in a more stabilized population size up to date (2021). Interestingly, the increase in PPV1 population coincided with an increase in the swine population in both Belgium and Denmark.
Figure 2.
Bayesian Skygrid reconstruction of the PPV1 population in relation to Belgian and Danish swine population. On the left y-axis, the estimated PPV1 population size is shown over a time range of 1921 up to 2021, indicating the mean estimated PPV1 population size as a solid blue line and 95 per cent HPD intervals as blue shade. The right y-axis represents the actual swine population size of Belgium (red) and Denmark (orange) as available from Eurostat (February 2022). At the bottom, the first introductions of PPV1 vaccines in Belgium are shown along with the vaccination degree.
Time-scaled MCC tree of the PPV1 VP1 gene. All PPV1 VP1 sequences are shown indicating the suggested node origins (x-axis). Clusters were determined based on Oh et al. (2017) (colors), Zimmerman et al. (2006) (Genotypes), and Cadar et al. (2012) (Letters). New Clusters G and H are colored in green and magenta, respectively. Relevant vaccine strains and field strains using in IPMA, HI, and SN assays are indicated in bold.
Time-scaled MCC tree of the PPV1 VP1 gene. All PPV1 VP1 sequences are shown indicating the suggested node origins (x-axis). Clusters were determined based on Oh et al. (2017) (colors), Zimmerman et al. (2006) (Genotypes), and Cadar et al. (2012) (Letters). New Clusters G and H are colored in green and magenta, respectively. Relevant vaccine strains and field strains using in IPMA, HI, and SN assays are indicated in bold.Next, the eight MCC tree-based phylogenetic clusters (A–H) were subjected to an intra- and inter-strain diversity analysis to determine their biological relevance. While amino acid intra-diversity of Cluster A and B strains was higher as compared to inter-diversity values for all other clusters, no overall differences of intra- and inter-cluster diversity for all other clusters were observed (Supplementary Fig. S1 and Supplementary Tables S2 and S3). Interestingly, this analysis highlighted the distinct genetic profile of some strains that were differently classified into one of the MCC tree-based clusters (D: TJ CHN 2012; F: HNAY CHN 2009; and H: VRI-1 KOR 2003). Upon removal of the HNAY CHN 2009 strain from Cluster F, its intra-cluster diversity showed significant differences from all other inter-cluster diversities (Supplementary Fig. S1). Thus, overall, four distinct PPV1 clusters were shown which are thought to be biologically relevant and were renamed as PPV1a, PPV1b, PPV1c, and PPV1d strains, respectively (Fig. 4A, B). It is noteworthy that only for strains 18KWB13 KOR 2018, WB-754 ROM 2011, PS950 FRA 2021, 2003-6 DNK 2021, and 1491-1 DNK 2016 the exact classification to either PPV1b/c could not be determined as they showed ‘mixed/transient’ AA hallmarks, highlighting potential evolutionary traces between PPV1 Clusters b and c.
Figure 4.
Evaluation of cluster divergence based on intra- and inter-cluster amino acid diversities. (A) ML tree (1,000 bootstraps; GTR + G + I) of all PPV1 VP1 sequences highlighting the four biological relevant PPV1 clusters, including PPV1a (G1; orange), PPV1b (G2; blue), PPV1c (G2; green), and PPV1d (G2; pink) strains. Strains used in further analyses are shown in bold; (B–D) Trimer (left) and monomer (right) of the VP2 structure (1K3V) highlighting cluster-specific hallmarks as compared to the PPV1c NADL-8 (USA 1976) strain. Cluster- and subpopulation-specific amino acid changes are shown with solid and dotted lines, respectively. Red and blue circles highlight mutations associated with NADL-2 phenotypic attenuation (Bergeron, Hébert, and Tijssen 1996) and tissue tropism (Simpson et al. 2002), respectively; (E) Overview of new simplified PPV1-VP1-based classification system.
Evaluation of cluster divergence based on intra- and inter-cluster amino acid diversities. (A) ML tree (1,000 bootstraps; GTR + G + I) of all PPV1 VP1 sequences highlighting the four biological relevant PPV1 clusters, including PPV1a (G1; orange), PPV1b (G2; blue), PPV1c (G2; green), and PPV1d (G2; pink) strains. Strains used in further analyses are shown in bold; (B–D) Trimer (left) and monomer (right) of the VP2 structure (1K3V) highlighting cluster-specific hallmarks as compared to the PPV1c NADL-8 (USA 1976) strain. Cluster- and subpopulation-specific amino acid changes are shown with solid and dotted lines, respectively. Red and blue circles highlight mutations associated with NADL-2 phenotypic attenuation (Bergeron, Hébert, and Tijssen 1996) and tissue tropism (Simpson et al. 2002), respectively; (E) Overview of new simplified PPV1-VP1-based classification system.
VP1 Loop 4 mutations mark the divergence of 27a-like strains
To evaluate the potential impact of VP1-specific mutations on vaccination efficacy, an in-depth analysis of the VP1 protein sequences was performed as compared to the virulent NADL-8 sequence (PPV1d). As shown in Fig. 1D, the VP2 protein is a splicing variant of the VP1 protein, which can be further divided into an internal moiety (white) and four external loops (shades of red). When looking at cluster-specific mutations, a 150-nt sequence unique to VP1 was conserved among all studied strains, only showing a Genotype-1-specific Thr102Ser mutation. All (non-)linear nuclear localization motif sites and the PLA2 catalytic site were also conserved (Supplementary Fig. S2A). While PPV1a (Genotype 1)-specific mutations within the VP2 protein were dispersed over the entire protein, only one mutation (Lys557Asn) was observed in Loop 4 as compared to three unique mutations (Ala564Ser/Glu569Gln/Pro586Thr) for the 27a-like PPV1b group (Figs 1, 4C, D, respectively). Interestingly, when looking at the overall capsid structure, amino acids specific to the PPV1a cluster (Genotype 1; Cluster A) appeared to be present on the lower shoulders of the three-fold axis trimer extrusion or two-fold dimple (Figs 1, 4C; orange). This is in contrast with PPV1b (27a-like Genotype 2; Cluster B) mutations, which are present on top or on the higher shoulders of the three-fold axis trimers (Figs 1, 4D; blue). For PPV1c (Genotype 2; Cluster F) strains only one specific mutation (Thr365Ile) was identified, together with diverse other unique mutations in its subpopulations (Fig. 4E; light green dotted lines). Among these, NADL-2-phenotypic-attenuation-associated mutations were identified, which were mostly located in the two-fold dimple of the virion capsid (Figs 1, 4E; light green and red circles). In agreement with the intra- and inter-strain diversity analyses and the fact that the NADL-8 strain (USA 1976) was used as the reference strain, only some PPV1d strain subsets showed unique hallmarks. For Cluster C and D strains a single unique mutation (Pro586Ala) could be identified (Supplementary Fig. S2C; purple). Also, two unique mutations (Ile295Leu/Ser342Gly) were identified for the new Cluster G, which were located at the inside of the capsid structure (Figs 1, 4E; dark green). No unique markers were identified for Cluster E, except for a Pro586 presented in all but two (Pro586Ala in 18BKWB29 KOR 2018 and Pro586Thr in 18KWB13 KOR 2018) strains. This is the same amino acid as conserved in most of the Genotype 1 strains (Supplementary Fig. S2B).
Immunogenicity of three commercial vaccines. (A) Pairwise AA identity (%) measures of all PPV1 VP1 sequences used in the serological tests are shown in a matrix, highlighting the homo- and heterologous nature of tested field strains in relation to the used commercial vaccines. Antibody titers in the antisera were determined showing (B) PPV1 specific antibodies in the IPMA (left), SN (middle), and HI (right) assays. (C) Multiple comparison plots for pairwise vaccine comparison, showing the mean antibody titer differences and 95 per cent CIs from (B); negative and positive values represent higher antibody titers in Vaccine 1 (left on y-axis) versus Vaccine 2 (right on y-axis), respectively. A value of 0 indicates that no difference in antibody titer was observed. Significance is shown as adjusted P-values based on two-way ANOVA and Tukey testing (0.05–0.01 (*), 0.01–0.001 (**), 0.001–0.0001 (***), and <0.0001 (****)). (D) ML tree of used PPV1 vaccine (bold) and field strains in relation to their VP1-Loop-4-specific mutations.
Immunogenicity of three commercial vaccines. (A) Pairwise AA identity (%) measures of all PPV1 VP1 sequences used in the serological tests are shown in a matrix, highlighting the homo- and heterologous nature of tested field strains in relation to the used commercial vaccines. Antibody titers in the antisera were determined showing (B) PPV1 specific antibodies in the IPMA (left), SN (middle), and HI (right) assays. (C) Multiple comparison plots for pairwise vaccine comparison, showing the mean antibody titer differences and 95 per cent CIs from (B); negative and positive values represent higher antibody titers in Vaccine 1 (left on y-axis) versus Vaccine 2 (right on y-axis), respectively. A value of 0 indicates that no difference in antibody titer was observed. Significance is shown as adjusted P-values based on two-way ANOVA and Tukey testing (0.05–0.01 (*), 0.01–0.001 (**), 0.001–0.0001 (***), and <0.0001 (****)). (D) ML tree of used PPV1 vaccine (bold) and field strains in relation to their VP1-Loop-4-specific mutations.
Authors: Alan A Simpson; Benoît Hébert; Gail M Sullivan; Colin R Parrish; Zoltán Zádori; Peter Tijssen; Michael G Rossmann Journal: J Mol Biol Date: 2002-02-01 Impact factor: 5.469
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