| Literature DB >> 35062271 |
Mohammad Enayet Hossain1, Ariful Islam2,3,4, Shariful Islam2,4, Md Kaisar Rahman2,4, Mojnu Miah1, Md Shaheen Alam1, Mohammed Ziaur Rahman1.
Abstract
Canine coronavirus (CCoV) is widespread among the dog population and causes gastrointestinal disorders, and even fatal cases. As the zoonotic transmission of viruses from animals to humans has become a worldwide concern nowadays, it is necessary to screen free-roaming dogs for their common pathogens due to their frequent interaction with humans. We conducted a cross-sectional study to detect and characterize the known and novel Corona, Filo, Flavi, and Paramyxoviruses in free-roaming dogs in Bangladesh. Between 2009-10 and 2016-17, we collected swab samples from 69 dogs from four districts of Bangladesh, tested using RT-PCR and sequenced. None of the samples were positive for Filo, Flavi, and Paramyxoviruses. Only three samples (4.3%; 95% CI: 0.9-12.2) tested positive for Canine Coronavirus (CCoV). The CCoV strains identified were branched with strains of genotype CCoV-II with distinct distances. They are closely related to CCoVs from the UK, China, and other CoVs isolated from different species, which suggests genetic recombination and interspecies transmission of CCoVs. These findings indicate that CCoV is circulating in dogs of Bangladesh. Hence, we recommend future studies on epidemiology and genetic characterization with full-genome sequencing of emerging coronaviruses in companion animals in Bangladesh.Entities:
Keywords: Bangladesh; canine; coronavirus; epidemiology; zoonotic
Mesh:
Substances:
Year: 2021 PMID: 35062271 PMCID: PMC8778797 DOI: 10.3390/v14010067
Source DB: PubMed Journal: Viruses ISSN: 1999-4915 Impact factor: 5.048
Figure 1Sampling sites and sample numbers from 4 study districts.
Distribution of canine coronavirus in Dogs, Bangladesh.
| Variables | Categories | N | CCoV Positive | 95% CI |
|---|---|---|---|---|
| District | Chattogram | 23 | - | - |
| Dhaka | 36 | 1 (2.8) | 0.07–14.5 | |
| Pabna | 2 | 2 (100) | 15.8–100 | |
| Rajshahi | 8 | - | - | |
| Sampling time | 2009–2010 | 53 | - | - |
| 2016–2017 | 16 | 3 (18.8) | 4.0–45.6 | |
| Sampling season | Dry | 16 | 3 (18.8) | 4.0–45.6 |
| Wet | 53 | - | - | |
| Sex | Male | 36 | 1 (2.8) | 0.07–14.5 |
| Female | 33 | 2 (6.1) | 0.7–20.2 | |
| Age | 1–1.5 years | 32 | - | - |
| 1.6–3 years | 24 | - | - | |
| >3 years | 13 | 3 (23.1) | 5.0–53.8 | |
| Type of | Stray dog | 58 | 2 (3.5) | 0.4–11.9 |
| Sheltered dog | 11 | 1 (9.1) | 0.2–41.2 | |
| Health condition | Sick | 13 | 1 (7.7) | 0.2–36.0 |
| Apparently healthy | 56 | 2 (3.6) | 0.4–12.3 | |
| BCS | Poor | 22 | 2 (9.1) | 1.1–29.1 |
| Fair | 29 | 1 (3.5) | 0.08–17.8 | |
| Good | 18 | - | - |
Figure 2Maximum Likelihood phylogenetic tree based on the partial RdRp sequence of Coronaviridae. CCoV strains in this study are indicated by rhombus (blue colored). The tree was calculated using the Maximum Likelihood method with the Kimura 2-parameter distance model. The percentages of replicate trees (>70%) in which the associated taxa clustered together in the bootstrap test (1000 replicates) are shown next to the branches. RdRp, RNA dependent RNA polymerase; CCoV, canine coronavirus; CCoV-I, canine coronavirus type I; CCoV-II, canine coronavirus type II; CCoV-IIa, canine corona-virus subtype IIa; CCoV-IIb, canine coronavirus subtype IIb; FCoV, feline coronavirus.
Figure 3Maximum Likelihood phylogenetic tree based on the partial nonstructural protein 14 (Nsp14) sequence of Coronaviridae. CCoV strains in this study are indicated by rhombus (blue colored). Canine CoV, feline CoV, Betacoronavirus, Gammacoronavirus, Deltacoronavirus sequences are shown in the phylogeny. The tree was calculated using the Maximum Likelihood method with the Kimura 2-parameter distance model. The percentages of replicate trees (>70%) in which the associated taxa clustered together in the bootstrap test (1000 replicates) are shown next to the branches.
Figure 4Median-joining phylogenetic network of Coronaviridae. The median-joining network was constructed from the partial RdRp sequences. Each unique sequence is represented by a circle sized relative to its frequency in the dataset. Isolates are colored according to the location. RdRp, RNA-dependent RNA polymerase.