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Brazilian Journal of Microbiology logoLink to Brazilian Journal of Microbiology
. 2026 Feb 22;57(1):58. doi: 10.1007/s42770-026-01876-1

An alternative genomic target for proper phylogenetic classification of canine distemper virus (Morbillivirus canis)

Sarah Maria van Tol Amaral Guerra 1,2, Alice Silveira Becker 1,2,3, José Valter Joaquim Silva Júnior 1,4,5,6,10,✉, Otávio Valério de Carvalho 7,8, Claudio Canal 9, Raquel Silva Alves 9, Rudi Weiblen 1, Eduardo Furtado Flores 1,✉
PMCID: PMC12926271  PMID: 41724887

Abstract

The high variability of canine distemper virus (CDV) highlights the need for adequate genomic analyses to accurately classify viral variants, with whole-genome sequencing (WGS) being the most recommended strategy for this purpose. However, for practical/economic reasons, CDV variants have often been classified by genetic analysis of the hemagglutinin (H) gene, whose suitability for proper lineage identification has been discussed. Herein, we propose an alternative genomic target for genetic classification of CDV in scenarios in which WGS is not feasible. Initially, we designed high coverage primers to amplify an internal region of the gene previously suggested as a potential target for CDV classification (P/V/C gene). The primers were based on 113 WGS of different CDV lineages available (GenBank) and target a 568 bp amplicon. The putative amplicon was then evaluated in silico for its ability to reproduce the genetic classification by WGS. After this analysis, we optimized the RT-PCR and evaluated its performance by testing different biological samples previously identified as CDV positive. Amplicons generated from these samples were sequenced and phylogenetically analyzed. Our in silico analysis confirmed that the classification based on this amplicon fully reproduces the classification from the CDV WGS. Following this validation, we demonstrated that our primers were able to amplify CDV genetic material from different clinical samples. Finally, the amplicons were easily sequenced by the Sanger method, allowing proper CDV classification. In conclusion, we propose an alternative genomic target for proper phylogenetic classification of CDV, which may be an alternative when WGS is not possible.

Supplementary Information

The online version contains supplementary material available at 10.1007/s42770-026-01876-1.

Keywords: CDV, Phylogeny, Lineage, P/V/C gene

Introduction

Canine distemper virus (CDV) (Morbillivirus canis), family Paramyxoviridae and genus Morbillivirus [1], is distributed worldwide and produces a variety of clinical manifestations in dogs, ranging from subclinical to respiratory, dermatological or neurological disease, often with fatal course [2, 3].

The CDV virions are enveloped, contain a helical capsid and a single-stranded, linear, negative-sense RNA genome, 15,690 nucleotides (nt) in length, which encodes six gene products, organized as follows: 3' leader – N – P/V/C – M – F – H – L – 5' trailer [4]. CDV has a high nucleotide substitution rate, which, combined with recombination events, results in multiple viral lineages [2, 5–7]. More than 20 CDV lineages (also termed genotypes) have been described, named based on the geographic location of the first identified sequences. Whenever more than one lineage is identified in a region, they are differentiated by cardinal numbers; and when viruses of the same lineage are identified in more than one region, they are named according to both regions [8].

Classifying CDV lineages is crucial for understanding the distribution of viral strains, monitoring the emergence of new variants and improving diagnostic methods. Additionally, identifying genotypes may provide insights for more effective control and prevention strategies, taking into account the viral genetic diversity [9]. Overall, whole-genome sequencing (WGS) followed by its respective analysis is the most appropriate approach to genetically characterize/identify infectious agents [8]. However, for practical reasons, individual genes or genomic segments have often been analyzed for genetic classification of CDV [10].

Indeed, the identification of CDV variants has been performed by analyzing individual genes or specific genomic regions [11–13]. In particular, the hemagglutinin gene (H) is the most used target for CDV genetic classification, mainly due to its high variability and antigenic role, which would contribute to proper differentiation of CDV variants [14, 15]. In addition, partial sequences of the N and P/V/C genes have also been used for CDV phylogenetic studies [16–19].

Despite the suitability of H analysis for a number of purposes, it was observed that phylogenetic analysis based on this gene may not be equivalent to WGS classification, resulting in some discrepancies. In fact, the P/V/C region proved to be the most appropriate target to reproduce the WGS-based classification [20]. However, performing PCR amplification and sequencing of the entire P/V/C gene for genetic analysis may present challenges not only due to its length, but also because of the difficulty in identifying conserved regions for proper primer annealing.

Considering this, we identified a region within the P/V/C gene whose phylogenetic analysis would reproduce the classification obtained by WGS. We designed high-coverage primers for this target and demonstrated that it may be easily amplified, sequenced and used for CDV classification from different biological samples. Overall, we believe that the strategy described here represents a viable alternative for phylogenetic classification of CDV in scenarios where WGS is not possible.

Materials and methods

Study design

Initially, we collected WGS of CDV available in GenBank. These sequences were analyzed to identify conserved regions in the P/V/C gene for primer design, which should also generate an amplicon which would be easily sequenced by the Sanger method. The putative amplicon was phylogenetically analyzed for its ability to reproduce the CDV WGS classification. Subsequently, an RT-PCR assay using these primers was optimized. Finally, the standardized RT-PCR was used for amplification and phylogenetic classification of twenty-two CDV sequences present in clinical samples.

Data collection

All CDV WGSs available in GenBank (https://www.ncbi.nlm.nih.gov/genbank/) up to April 4, 2024, were collected using the search terms “Canine distemper virus” or “Canine morbillivirus” and filtered to 15,000 and 16,000 nt. After collection, only those identified as “complete genome” were included in our dataset. To avoid possible biases, sequences identified as “recombinant”, “rescue”, as well as those not identified as “isolate” or “strain” or that containing degenerate bases or gaps were excluded.

Design of primers for amplification-sequencing of genomic targets for CDV classification

The WGS collected were aligned by the Fast Fourier Transformation software (MAFFT, version 7.490) [21], visualized in the Molecular Evolutionary Genetics Analysis software (version 12.0.7) (MEGA 12) [22] and manually analyzed to identify conserved regions in the P/V/C gene for primer design. The sequence of the Snyder Hill vaccine strain (accession number JN896987-1, GenBank) was used as a reference for the location of the P/V/C (nt 1742–3396) gene, considering the coding sequence (CDS) and untranslated region (UTR) regions. The primers were then designed to generate an amplicon of up to 700 bp, which could be easily sequenced by the Sanger method, and to have similar melting temperatures (up to 5 °C difference). Possible nonspecific annealing was analyzed using the Basic Local Alignment Search Tool (BLAST) (National Center for Biotechnology Information, NCBI, https://blast.ncbi.nlm.nih.gov/Blast.cgi).

Concordance analysis between whole genome versus putative amplicon classification

To assess the suitability of the putative amplicon for CDV classification, two datasets were assembled: one containing CDV WGS and another with the sequence of the putative amplicon without the primer annealing sites. Each dataset was then analyzed phylogenetically according to the best model defined by the MEGA 12 (version 12.0.7) software. Phylogenetic analyses were performed in MEGA 12 (version 12.0.7), using the Maximum Likelihood (ML) method and bootstrap with 1000 replicates. Finally, the phylogenetic trees obtained from the two datasets (WGS and putative amplicon) were compared to each other to assess the classification agreement between the two analyses.

RT-PCR optimization

After phylogenetic analyses and confirmation of the suitability of the amplicon analysis for CDV classification, RT-PCR optimization was performed with the designed primers. The assay was standardized using viral RNA extracted from 100 μL of the supernatant of cell cultures inoculated with CDV 005/15 isolate, using the PureLink™ RNA Mini Kit (Invitrogen). Total RNA was eluted in 30 μL of nuclease-free ultrapure water and the nucleic acid quality was analyzed by spectrophotometry using the NanoDrop™ (Thermo Fisher Scientific). After RNA extraction, complementary DNA (cDNA) was synthesized using the GoScript™ Reverse Transcriptase Kit (Promega), according to the manufacturer's instructions. PCR was performed with Taq DNA Polymerase Recombinant enzyme (5 U/μL) (Invitrogen) for a final volume of 10 μL. The reaction was optimized with different DMSO volumes/concentrations [0.2 μL (2%), 0.4 μL (4%), and 0.8 μL (8%)], different annealing temperatures (50 °C to 60 °C, with 2 °C intervals), and different MgCl2 concentrations (1.5 mM, 2 mM, 2.5 mM and 3 mM). The PCR products were analyzed by agarose gel electrophoresis, using GelRed® (Biotium).

Amplification from and sequencing of the novel target in biological samples

To evaluate the performance of RT-PCR for amplification of CDV in different clinical samples, we tested our assay with twenty-two samples from dogs previously identified as positive for CDV at the Virology Section/UFSM (Universidade Federal de Santa Maria, Brazil), TECSA Laboratórios (Brazil) or UFRGS (Universidade Federal do Rio Grande do Sul, Brazil). Details about the samples, including animal data and collection information, are shown in Table 1.

Table 1.

Samples analyzed in the study

ID Biological sample Collection date City (Brazil) Clinic Vaccination
227/21 Nasal and ocular swabs 08/11/2021 Santa Maria Respiratory, neurological, gastrointestinal and dermatological signs No
31/22 Nasal and ocular swabs 12/13/2021 Santa Maria Respiratory and neurological signs No
128/21 Nasal and ocular swabs 08/21/2021 Pelotas Respiratory signs Yes
130/21 Nasal and ocular swabs 05/11/2021 Pelotas Respiratory and neurological signs Incomplete
134/21 Nasal and ocular swabs 06/14/2021 Pelotas Respiratory signs NA
122/21 Tissue NA* Porto Alegre NA NA
200/22 Tissue NA Porto Alegre NA NA
209/22 Tissue NA Porto Alegre NA NA
307/24 Rectal swab 10/14/2024 Porto Alegre No clinical signs NA
247/24 F Urine 08/29/2024 Porto Alegre No clinical signs NA
247/24 K Rectal swab 08/28/2024 Porto Alegre NA NA
216/24 Urine 08/01/2024 Porto Alegre NA Yes
121/24 Rectal swab 06/11/2024 Porto Alegre Respiratory signs No
122/24 Rectal swab 06/11/2024 Porto Alegre Respiratory and neurological signs No
123/24 Rectal swab 06/11/2024 Porto Alegre Respiratory and dermatological signs Incomplete
124/24 Rectal swab 06/11/2024 Porto Alegre Respiratory signs Incomplete
125/24 Rectal swab 06/11/2024 Porto Alegre Gastrointestinal signs Incomplete
127/24 Rectal swab 06/11/2024 Porto Alegre Gastrointestinal and neurological signs Incomplete
120/24 Rectal swab 06/11/2024 Porto Alegre Dermatological signs NA
006/676960 Whole blood 01/31/2024 Salvador NA NA
021/089389 Urine 01/28/2024 Belford Roxo NA NA
031/380473 Whole blood 03/02/2024 Belo Horizonte NA NA

*NA data not available

After amplification, PCR products were purified using the PureLink™ Quick Gel Extraction and PCR Purification Combo Kit (Invitrogen) and sequenced in duplicate, both strands, by the Sanger method, using the ACT Gene Molecular Analyses service (Brazil). With the sequencing results, the consensus sequence was obtained by the Staden Package [23] and then phylogenetically analyzed as described in Sect. "Concordance analysis between whole genome versus putative amplicon classification".

Results

Primer design

Initially, we collected 257 CDV sequences available in GenBank, of which 144 were discarded because they did not meet the analysis criteria previously described (see Sect. "Data collection"). The dataset with 113 sequences was then used to design the forward (CDV_Snyder Hill_1740_F: 5’- TTAGGACCCAGGTCCAAC - 3’, Tm 62.1ºC) and reverse (CDV_Snyder Hill_2307_R: 5’- TCCCCAGTTAGATGAAGCAT - 3’, Tm 62.4ºC) primers. In detail, primer F annealing sequence covers the last two nucleotides of the N-P/V/C intergenic region up to the first 16 nt of the P/V/C gene (nt 1740–1757 position, Snyder Hill vaccine strain, JN896987-1). Primer R anneals in the P/V/C gene sequence (nt 2288–2307 position, Snyder Hill vaccine strain, JN896987-1).

Phylogenetic classification based on the novel genomic target is compatible with that of the CDV whole genome sequence

The CDV WGS from our dataset were classified into ten lineages: Asia 1, Europe 1/South America 1, Asia 4/Thailand, Africa/Africa 1/Africa 2, Africa/South Africa/Africa 1, Arctic Like, Asia 2, America 2, Caspian, Vaccine/America 1/Asia 3 (including group a and b). Variants that could not be adequately classified into previously identified CDV lineages were classified as “Undetermined”. The identification and naming of CDV lineages were performed following the criteria previously described [20]. Here, all classifications observed in the WGS-based tree were maintained in the phylogenetic analysis of the putative amplicon (Fig. 1).

Fig. 1.

Fig. 1

Phylogenetic trees based on nucleotide sequence analysis of the CDV complete genome (a) and the novel genomic target/putative amplicon (b). Phylogenetic analyses were performed with the Maximum Likelihood method and bootstrap of 1000 replicates, using MEGA 12 (version 12.0.7), showing bootstrap > 70%. Whole-genome and putative amplicon analyses were performed using the GTR + G + I and K2 + G models, respectively, which were defined by the MEGA 12 (version 12.0.7) software

RT-PCR assay

After confirming the suitability of the primer set for CDV phylogenetic classification, RT-PCR was optimized for the following mix conditions: 0.5 µL of MgCl2 (50 mM stock), 0.2 µL of dNTPs (10 mM stock), 0.5 µL of each primer (at 10 µM), 0.1 µL of recombinant Taq DNA polymerase (Thermo Fisher Science, MA, USA), 1 µL of 10X buffer, 0.8 µL of DMSO, 1 µL of cDNA and 5.4 µL of ultrapure water (final volume 10 µL). The following cycling conditions were used: initial denaturation at 94 °C for 3 min, followed by 40 cycles of 94 °C for 45 s (denaturation), 60 °C for 30 s (annealing) and 72 °C for 50 s (extension), and final extension at 72ºC for 10 min. The PCR products were electrophoresed in a 1% agarose gel and stained with GelRed (Biotium, CA, USA) (Fig. 2).

Fig. 2.

Fig. 2

Genomic target amplification for phylogenetic classification of canine distemper virus (CDV). M: Ladder 100 bp (Ludwig); 1: positive sample (568 bp); 2: negative sample; 3: RT-PCR performed with ultrapure water (nuclease-free). The difference in amplicon migration resulting in a band appearing larger than 600 bp is related to the influence of the GelRed dye (Biotium) on DNA electrophoresis

Amplification and phylogenetic analysis of CDV from biological samples

Sequences of CDV from 22 clinical samples were amplified in our RT-PCR assay, the amplicons were purified and sequenced with the same primers used for amplification. Among the samples analyzed, twenty clustered as Europe 1/South America 1 and two as Vaccine/America 1/Asia 3 (group b) (Fig. 3) (Supplementary file).

Fig. 3.

Fig. 3

Phylogenetic classification of samples sequenced during the study. Phylogenetic analyses were performed with the Maximum Likelihood method, K2 + G + I model (defined by the MEGA 12 software, version 12.0.7) and bootstrap of 1000 replicates, using MEGA 12software (version 12.0.7), showing bootstrap > 70%. Samples analyzed in the study are marked with a black circle

Discussion

An alternative genomic target is proposed for proper genetic classification of CDV lineages/genotypes, circumventing the classification difficulties based on analysis of WGS and the lack of precision encountered by classification based on single genes and/or specific genomic regions. High coverage primers were designed to amplify a region of 568 bp within the P/C/V gene whose amplicon is suitable for genetic analysis and reproduces the analysis of WGS. In addition, the RT-PCR using these primers was able to amplify the target sequences from a variety of clinical samples, allowing nucleotide sequencing by Sanger method and, thus, representing an adequate and viable alternative for many laboratories performing phylogenetic/epidemiological studies of CDV.

The phylogenetic classification of CDV by WGS analysis is inaccessible to many laboratories and research groups; consequently, many CDV genetic classifications have been performed based on the sequencing of individual genes or gene fragments, mainly the H gene [11–15]. Classification based on H, however, may lead to discrepancies compared to WGS analysis. As an alternative, other viral genes have been suggested as potential targets for proper identification of CDV lineages, namely the P/V/C gene [20].

The challenges guiding this study revolve around the amplification of the P/V/C gene and the feasibility of designing high-coverage primers to amplify this region across various viral strains. Amplifying the full-length P/V/C gene can be difficult due to its size and the need to identify conserved regions for adequate primer design. These limitations hamper the amplification and sequencing of multiple samples. To address this issue, an alternative target was proposed: a fragment encompassing the last two nucleotides of the N-P/V/C intergenic region and a specific segment of the P/V/C gene. This fragment/region was selected as a suitable sequence for CDV classification, particularly in scenarios where WGS is not feasible.

Initially, all CDV WGS available in GenBank were collected (n = 257) and those that met the inclusion criteria of our study were analyzed (n = 113). In the dataset with 113 sequences, which covers the genome of different CDV lineages identified in different countries and regions, primers were designed for P/V/C. This gene was previously suggested as the best target for proper CDV identification, as its analysis reproduces the classification obtained by WGS analysis [20]. As mentioned above, the amplicon generated by the primer set encompasses the last two nucleotides of the N-P/V/C intergenic region and a specific portion of the P/V/C gene. In addition to prioritizing conserved genomic regions, the primers also generate an amplicon with a compatible size (568 bp) for Sanger sequencing.

After primer design, an evaluation was conducted to determine whether the amplicon would be suitable for CDV phylogenetic classification. For this, a comparison was made between the phylogenetic tree yielded by WGS analysis with that of the putative amplicon. Herein, the CDV classification based on the putative amplicon reproduced that of the WGS, confirming the suitability of this target for identification of CDV lineages.

Following the design of primers and confirmation of the suitability of their amplicon for differentiation of CDV lineages, the primers were tested in an RT-PCR assay. The assay was standardized to a final volume of 10 µL, adjusting mix and annealing temperature. The optimized RT-PCR was used for amplification of CDV genetic material from different biological samples (urine, tissues, nasal, ocular and rectal swabs). The assay evaluation of performance with different samples is essential considering the systemic distribution of CDV and the different samples that may be submitted to diagnosis [24, 25].

In addition, the amplicons were easily sequenced by the Sanger method and used for the identification of viral variants. Herein, twenty samples clustered as Europe 1/South America 1 and two as Vaccine/America 1/Asia 3 (group b). Importantly, the samples clustered as Vaccine/America 1/Asia 3 (group b) are from animals with no vaccination record and share 98.08% and 98.67% nucleotide identity with the Snyder Hill (JN896987.1) and Onderstepoort (NC_001921.1) strains, respectively. In general, these results are in line with those described in previous studies carried out in Brazil. The circulation of CDV belonging to the Europe 1/South America 1 lineage, for example, has been described by the analysis of different genomic targets (H and F genes and WGS), amplified from different biological samples (urine, ocular discharge, blood, brain, serum or rectal swab), collected at different times and different areas in the country [26–32].

In conclusion, we describe an alternative genomic target to proper identification of CDV lineages. The genomic target proposed here may be easily amplified from a variety of clinical samples and may be sequenced by the Sanger method, offering a viable alternative for laboratories where WGS is not possible. Finally, we believe it would be opportune to conduct further studies when more CDV genomes become available, in order to consolidate the suitability of our target for the phylogenetic classification of CDV.

Supplementary Information

Below is the link to the electronic supplementary material.

Acknowledgements

SMvTAG thank the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) (Brazil) for the scholarship. EFF (process 301414/2010-6) and RW (process 303981/2022-9) were supported by CNPq research fellowships. The research was also supported partially by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) (Brazil) – Finance code 001, Fundação de Apoio à Pesquisa do Estado do Rio Grande do Sul (FAPERGS) and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq). The authors also thank Dr Mariana Soares da Silva (Feevale) and Dr Fernando Rosado Spilki (Feevale) for providing positive clinical samples during the study.

Author contributions

Sarah Maria van Tol Amaral Guerra: Conceptualization, Methodology, Investigation, Writing – original draft. Alice Becker: Conceptualization, Visualization, Writing-review & editing. José Valter Joaquim Silva Junior: Conceptualization, Methodology, Investigation, Visualization, Writing-review & editing. Otávio Valério de Carvalho: providing clinical samples; revision of the manuscript. Cláudio Canal: providing clinical samples; revision of the manuscript. Raquel Silva Alves: providing clinical samples; revision of the manuscript. Rudi Weiblen: Conceptualization, Visualization, Writing-review & editing. Eduardo Furtado Flores: Conceptualization, Methodology Visualization, Writing-review & editing, Supervision.

Funding

The Article Processing Charge (APC) for the publication of this research was funded by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) (ROR identifier: 00x0ma614). This research was supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) – Finance code 001. The Article Processing Fee for the publication of this research was funded by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES (identifier ROR: 00x0ma614). For open access purposes, the authors have assigned the Creative Commons CC BY license to any accepted version of the article.

Declarations

Ethics approval

Not applicable. The study did not involve animal experimentation. The samples used in the study came from the diagnostic services offered by Virology Section (UFSM), TECSA Laboratórios and Laboratório de Virologia Veterinária (UFRGS).

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

José Valter Joaquim Silva Júnior, Email: josevalterjsilvajr@gmail.com.

Eduardo Furtado Flores, Email: eduardofurtadoflores@gmail.com.

References

  • 1.International Committee on Taxonomy of Viruses ICTV (2024) Taxonomy history: canine morbillivirus. Int Comm Taxon Viruses. May 15, 2025. https://ictv.global/taxonomy/taxondetails?taxnode_id=202201613 [Google Scholar]
  • 2.Rendon-Marin S, Budaszewski RF, Canal CW, Ruiz-Saenz J (2019) Tropism and molecular pathogenesis of canine distemper virus. Virol J 16:30. 10.1186/s12985-019-1136-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Van TM, Le TQ, Tran BN (2023) Phylogenetic characterization of the canine distemper virus isolated from veterinary clinics in the Mekong Delta, Vietnam. Vet World 16(5):1092–1097. 10.14202/vetworld.2023.1092-1097 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Sidhu MS, Husar W, Cook SD, Dowling PC, Udem SA (1993) Canine distemper terminal and intergenic non-protein coding nucleotide sequences: completion of the entire cdv genome sequence. Virology 193:66–72. 10.1006/viro.1993.1103 [DOI] [PubMed] [Google Scholar]
  • 5.Han GZ, Liu XP, Li SS (2008) Cross-species recombination in the haemagglutinin gene of canine distemper virus. Virus Res 136:198–201. 10.1016/j.virusres.2008.04.022 [DOI] [PubMed] [Google Scholar]
  • 6.Jo WK, Peters M, Kydyrmanov A, Bildt MWG, Kuiken T, Osterhaus A, Ludlow M (2019) The canine morbillivirus strain associated with an epizootic in Caspian seals provides new insights into the evolutionary history of this virus. Viruses 11:894. 10.3390/v11100894 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Piewbang C, Radtanakatikanon A, Puenpa J, Poovorawan Y, Techangamsuwan S (2019) Genetic and evolutionary analysis of a new Asia-4 lineage and naturally recombinant canine distemper virus strains from Thailand. Sci Rep 9:1. 10.1038/s41598-019-39413-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Duque-Valencia J, Diaz FJ, Ruiz-Saenz J (2020) Phylogenomic analysis of two co- circulating canine distemper virus lineages in Colombia. Pathogens 9(1):26. 10.3390/pathogens9010026 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Wang H, Guo H, Hein VG, Xu Y, Yu S, Wang X (2023) The evolutionary dynamics history of canine distemper virus through analysis of the hemagglutinin gene during 1930–2020. Eur J Wildl Res 69:56. 10.1007/s10344-023-01685-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Khosravi M, Gharib FZ, Bakhshi A (2025) Phylogenetic and molecular analysis of hemagglutinin gene and Fsp-coding region of canine distemper virus: insight into novel vaccine development. Comp Immunol Microbiol Infect Dis 117:102292. 10.1016/j.cimid.2024.102292 [DOI] [PubMed] [Google Scholar]
  • 11.Panzera Y, Calderon MG, Sarute N, Guasco S, Cardeillac A, Bonilla B, Hernandez M, Francia L, Bedo G, Torre J, Perez R (2012) Evidence of two co-circulating genetic lineages of canine distemper virus in South America. Virus Res 163:401–404. 10.1016/j.virusres.2011.10.008 [DOI] [PubMed] [Google Scholar]
  • 12.Romanutti C, Calderan MG, Keller L, Mattion N, Torre J (2016) RT-PCR and sequence analysis of the full-length fusion protein of canine distemper virus from domestic dogs. J Virol Methods 228:79–83. 10.1016/j.jviromet.2015.11.011 [DOI] [PubMed] [Google Scholar]
  • 13.Sarute N, Calderon MG, Perez R, Torre J, Hernandez M, Francia L, Panzera Y (2013) The fusion protein signal-peptide-coding region of canine distemper virus: a useful tool for phylogenetic reconstruction and lineage identification. PLoS One 8:5. 10.1371/journal.pone.0063595 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Piewbang C, Chansaenroj J, Kongmakee P, Banlunara W, Poovorawan Y, Techangamsuwan S (2020) Genetic adaptations, biases, and evolutionary analysis of canine distemper virus Asia-4 lineage in a fatal outbreak of wild-caught civets in Thailand. Viruses. 10.3390/v12040361 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Romanutti C, Keller L, Torre J, Panzera Y, Fuques E, Perez R, Calderon MG (2020) Virus isolation and full-length genome sequencing of a representative canine distemper virus wild type strain of the South America 2 clade. J Virol Methods 279. 10.1016/j.jviromet.2020.113857 [DOI] [PubMed]
  • 16.Castilho JG, Brandão PE, Carnieri P Jr, Oliveira RN, Macedo CI, Peixoto ZMP, Carrieri ML, Kotait I (2007) Molecular analysis of the N gene of canine distemper virus in dogs in Brazil. Arq Bras Med Vet Zootec 59:654–659. 10.1590/S0102-09352007000300016 [Google Scholar]
  • 17.Headley SA, Santos TR, Bodnar L, Saut JPE, Silva AP, Alfieri AF, Medeiros AA, Soares NP, Alfieri AA (2015) Molecular detection and phylogenetic relationship of wild-type strains of canine distemper virus in symptomatic dogs from Uberlândia, Minas Gerais. Arq Bras Med Vet Zootec 67:1510–1518. 10.1590/1678-4162-7052 [Google Scholar]
  • 18.Lan NT, Yamaguchi R, Kawabata A, Uchida K, Sugano S, Tateyama S (2007) Comparison of molecular and growth properties for two different canine distemper virus clusters, Asia 1 and 2, in Japan. J Med Vet Sci 69:739–744. 10.1292/jvms.69.739 [DOI] [PubMed] [Google Scholar]
  • 19.Lednicky JA, Dubach J, Kinsel MJ, Meehan TP, Bocchetta M, Hungerford LL, Sarich NA, Witecki KE, Braid MD, Pedrak C, Houde CM (2004) Genetically distant American canine distemper virus lineages have recently caused epizootics with somewhat different characteristics in raccoons living around a large suburban zoo in the USA. Virol J 1(1):2. 10.1186/1743-422X-1-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Becker AS, de Oliveira P, Silva Junior JVJ, Weiblen R, Flores EF (2023) An appraisal of gene targets for phylogenetic classification of canine distemper virus: is the hemagglutinin the best candidate? Virus Res 325:108333. 10.1016/j.virusres.2023.199043 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Katoh K, Rozewicki J, Yamada KD (2019) MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization. Brief Bioinform 20:1160–1166. 10.1093/bib/bbx108 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Kumar S, Stecher G, Suleski M, Sanderford M, Sharma S, Tamura K (2024) MEGA12: molecular evolutionary genetic analysis version 12 for adaptive and green computing. Mol Biol Evol 41:12. 10.1093/molbev/msae263 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Staden R (1996) The staden sequence analysis package. Mol Biotechnol 5:233–241. 10.1007/BF02900361 [DOI] [PubMed] [Google Scholar]
  • 24.Karki M, Rajak KK, Singh P, Fayaz A, Kiran KA, Bhatt M, Rai V, Einstein C, Yadav AK, Singh RP (2023) Optimization of lateral flow assay for canine morbillivirus detection and the application of the strip as sample substitute. J Immunol Methods 514:113438. 10.1016/j.jim.2023.113438 [DOI] [PubMed] [Google Scholar]
  • 25.Laksono BM, Roelofs D, Comvalius AD, Schmitz KS, Rijsbergen LC, Geers D, Nambulli S, Run P, Duprex WP, Brand JMA, Vries RD, de Swart RL (2023) Infection of ferrets with wild type-based recombinant canine distemper virus overwhelms the immune system and causes fatal systemic disease. mSphere 8(4):e0008223. 10.1128/msphere.00082-23 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Budaszewski RF, Pinto LD, Weber MN, Caldart ET, Alves CD, Martella V, Ikuta N, Lunge VR, Canal CW (2014) Genotyping of canine distemper virus strains circulating in Brazil from 2008 to 2012. Virus Res 180:76–83. 10.1016/j.virusres.2013.12.024 [DOI] [PubMed] [Google Scholar]
  • 27.da Costa VG, Saivish MV, de Oliveira PG, Silva-Junior A, Moreli ML, Krüger RH (2021) First complete genome sequence and molecular characterization of canine morbillivirus isolated in Central Brazil. Sci Rep 11(1):13039. 10.1038/s41598-021-92183-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Duque-Valencia J, Forero-Muñoz NR, Diaz ME, Barato P, Ruiz-Saenz J (2019) Phylogenetic evidence of the intercontinental circulation of a canine distemper virus lineage in the Americas. Sci Rep 9(1):15747. 10.1038/s41598-019-52345-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Espinal MA, Diaz FJ, Ruiz-Saenz J (2014) Phylogenetic evidence of a new canine distemper virus lineage among domestic dogs in Colombia, South America. Vet Microbiol 172:168–176. 10.1016/j.vetmic.2014.05.019 [DOI] [PubMed] [Google Scholar]
  • 30.Fischer CDB, Gräf T, Ikuta N, Lehmann FKM, Passos DT, Makiejczuk A, Silveira MAT, Fonseca ASK, Canal CW, Lunge VR (2016) Phylogenetic analysis of canine distemper virus in South America clade 1 reveals unique molecular signatures of the local epidemic. Infect Genet Evol 41:135–141. 10.1016/j.meegid.2016.03.029 [DOI] [PubMed] [Google Scholar]
  • 31.Freitas LA, Leme RA, Saporiti V, Alfieri AA, Alfieri AF (2019) Molecular analysis of the full-length F gene of Brazilian strains of canine distemper virus shows lineage co- circulation and variability between field and vaccine strains. Virus Res 264:8–15. 10.1016/j.virusres.2019.02.009 [DOI] [PubMed] [Google Scholar]
  • 32.Portela V, Guarines K, Farias C, Carvalho O, Oliveira-Filho E, Silva A, Pena L, Maia R (2022) Hemagglutinin gene diversity of canine distemper virus from clinical samples in Brazil. J Appl Vet Sci 7:1–11. 10.21608/javs.2022.126513.1137 [Google Scholar]

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