Genomic characterization of covert mortality nodavirus from farming shrimp: Evidence for a new species within the family Nodaviridae.


Journal

Virus research
ISSN: 1872-7492
Titre abrégé: Virus Res
Pays: Netherlands
ID NLM: 8410979

Informations de publication

Date de publication:
09 2020
Historique:
received: 25 04 2020
revised: 08 07 2020
accepted: 08 07 2020
pubmed: 14 7 2020
medline: 17 7 2021
entrez: 14 7 2020
Statut: ppublish

Résumé

The prevalence of covert mortality nodavirus (CMNV) has become one of the major threats to the shrimp farming industry in Asia and South America recently. Here, the genomic RNA1 and RNA2 of CMNV were characterized by using transcriptome sequencing and RT-PCR. Our study revealed that RNA1 is 3228 bp in length, and contains two putative Open Reading Frames (ORFs), one encoding the RNA dependent RNA polymerase (RdRp) of length 1043 amino acids and another encoding the protein B2 with a length of 132 amino acids. RNA2 is 1448 bp in length and encodes a capsid protein of 437 amino acids. CMNV shared the highest similarity of 51.78 % for RdRp with the other known nodaviruses. Phylogenetic analyses on the basis of RdRp, B2 and capsid proteins indicated that CMNV might represent a novel viral species in the family Nodaviridae. This study reported the first genome sequence of CMNV and it would be helpful for further studies of CMNV in relation to its evolution, diagnostic technique and control strategy.

Identifiants

pubmed: 32659308
pii: S0168-1702(20)30468-8
doi: 10.1016/j.virusres.2020.198092
pii:
doi:

Substances chimiques

RNA, Viral 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

198092

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Tingting Xu (T)

Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Key Laboratory of Marine Aquaculture Disease Control, Ministry of Agriculture, Key Laboratory of Marine Aquaculture Epidemiology and Biosecurity, Qingdao, 266071, China.

Shuang Liu (S)

Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Key Laboratory of Marine Aquaculture Disease Control, Ministry of Agriculture, Key Laboratory of Marine Aquaculture Epidemiology and Biosecurity, Qingdao, 266071, China.

Xiaoping Li (X)

Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Key Laboratory of Marine Aquaculture Disease Control, Ministry of Agriculture, Key Laboratory of Marine Aquaculture Epidemiology and Biosecurity, Qingdao, 266071, China.

Qingli Zhang (Q)

Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Key Laboratory of Marine Aquaculture Disease Control, Ministry of Agriculture, Key Laboratory of Marine Aquaculture Epidemiology and Biosecurity, Qingdao, 266071, China; Marine Fisheries Science and Food Production Process Function Laboratory, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266071, China. Electronic address: zhangql@ysfri.ac.cn.

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Classifications MeSH