Literature DB >> 32194003

Detection and molecular epidemiology of ferlaviruses in farmed snakes with respiratory disease in Guangxi Province, China.

Jie-Yu Su1,2,3, Jun Li1,2,3, Teng-Cheng Que1,2,3, Hai-Lan Chen1,2,3, Yun Zeng1,2,3.   

Abstract

We screened 104 snakes with respiratory disease, collected from 52 snake farms in Guangxi Province, China, for pathogens. Ferlaviruses were detected in 70 of 104 lung samples by reverse-transcription PCR; 34 of 52 of the snake farms were positive for ferlaviruses. No reovirus, adenovirus, sunshine virus, or nidovirus was detected in any of the snakes. We obtained 96 bacterial isolates from snake organs, of which the most commonly isolated species were Salmonella (18) and Proteus (16). Sequence analysis, based on 27 partial RNA-dependent RNA polymerase gene (L) sequences, revealed that ferlaviruses from Guangxi and the known GenBank strains clustered together and formed 3 genogroups. The nucleotide and deduced amino acid homologies of ferlaviruses were 84.3-100% and 95.0-100% within groups, respectively, and 77.0-81.6% and 90.4-95.2% between groups, respectively. Ferlaviruses from Guangxi had close genetic relationships with the known GenBank strains. Our results indicate that ferlaviruses are common in snakes with respiratory disease on the farms of Guangxi that we sampled, and that ferlavirus molecular epidemiology is both diverse and complex.

Entities:  

Keywords:  detection; farmed snakes; ferlavirus; molecular epidemiology; respiratory disease

Mesh:

Year:  2020        PMID: 32194003      PMCID: PMC7377605          DOI: 10.1177/1040638720911023

Source DB:  PubMed          Journal:  J Vet Diagn Invest        ISSN: 1040-6387            Impact factor:   1.279


  18 in total

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8.  Complete genome sequence of Fer-de-Lance virus reveals a novel gene in reptilian paramyxoviruses.

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10.  Comparison of three different PCR protocols for the detection of ferlaviruses.

Authors:  Ekaterina Kolesnik; Timothy H Hyndman; Elisabeth Müller; Michael Pees; Rachel E Marschang
Journal:  BMC Vet Res       Date:  2019-08-06       Impact factor: 2.741

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