Literature DB >> 23722004

Genetic characterization of VP1 gene of seven Sacbrood virus isolated from three provinces in northern China during the years 2008-2012.

Ma Mingxiao1, Yin Yanna, Xu Xiaoli, Zhang Lin, Li Yongfei, Luan Zhidong.   

Abstract

The genetic diversity of seven northern China isolated Sacbrood virus strains (SBV) has been analyzed, and hypervariable regions of the VP1 gene of 7 SBV were sequenced and characterized, in order to obtain epidemiological and immunological information, and to suggest typing criteria for SBV. Sequence analysis of hypervariable regions of the VP1 gene in the genome of these isolates revealed a sequence homology of 91.0-99.3% among all seven local SBV isolates from Apis cerana from China, with a similarity of 93.3-100.0% in deduced amino acid sequences. These local isolates shared 87.4-92.8% sequence homology with six SBV reference strains in GenBank (including two SBV reference strains from Apis cerana from China), which represents a 91.8-97.6% similarity in deduced amino acid sequences. Genetic analysis also showed that five SBV strains from Apis cerana from China had a 13-amino-acid deletion at amino acid positions 287-299, and two SBV strains infecting the Korean honeybee had a 17-amino-acid deletion at amino acid positions 284-300 in comparison with other SBV. Phylogenetic analysis revealed two major groups (AC genotype SBV infecting Apis cerana and AM genotype SBV infecting Apis mellifera). The AC genotype could be further divided into subgroups. Based on the results of phylogenetic analysis, a similarity scan of SBV nucleotide sequences was carried out by using Simplot software and results in similar results. Our results suggest possible typing criteria for SBV based on the phylogenetic tree and sequence homology, and also that the virus has host specificity and regional variations.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Molecular epidemiology; Sacbrood virus; Typing criteria; VP1 gene

Mesh:

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Year:  2013        PMID: 23722004     DOI: 10.1016/j.virusres.2013.04.018

Source DB:  PubMed          Journal:  Virus Res        ISSN: 0168-1702            Impact factor:   3.303


  7 in total

1.  New insights of Sacbrood virus.

Authors:  Mingxiao Ma
Journal:  Virol Sin       Date:  2014-12       Impact factor: 4.327

2.  Homology differences between complete Sacbrood virus genomes from infected Apis mellifera and Apis cerana honeybees in Korea.

Authors:  Kondreddy Eswar Reddy; Mi Sun Yoo; Young-Ha Kim; Nam-Hee Kim; Mummadireddy Ramya; Ha-Na Jung; Le Thi Bich Thao; Hee-Soo Lee; Seung-Won Kang
Journal:  Virus Genes       Date:  2016-01-25       Impact factor: 2.332

3.  A comparison of biological characteristics of three strains of Chinese sacbrood virus in Apis cerana.

Authors:  Ying Hu; Dongliang Fei; Lili Jiang; Dong Wei; Fangbing Li; Qingyun Diao; Mingxiao Ma
Journal:  Sci Rep       Date:  2016-11-17       Impact factor: 4.379

4.  Identification of the Novel Host Protein Interacting With the Structural Protein VP1 of Chinese Sacbrood Virus by Yeast Two-Hybrid Screening.

Authors:  Xiyan Zhang; Dongliang Fei; Li Sun; Ming Li; YueYu Ma; Chen Wang; Sichao Huang; Mingxiao Ma
Journal:  Front Microbiol       Date:  2019-09-26       Impact factor: 5.640

5.  Genomic Sequencing and Comparison of Sacbrood Viruses from Apis cerana and Apis mellifera in Taiwan.

Authors:  Ju-Chun Chang; Zih-Ting Chang; Chong-Yu Ko; Yue-Wen Chen; Yu-Shin Nai
Journal:  Pathogens       Date:  2020-12-28

6.  Comparative Genomic Analysis for Genetic Variation in Sacbrood Virus of Apis cerana and Apis mellifera Honeybees From Different Regions of Vietnam.

Authors:  Kondreddy Eswar Reddy; Ha Thi Thu; Mi Sun Yoo; Mummadireddy Ramya; Bheemireddy Anjana Reddy; Nguyen Thi Kim Lien; Nguyen Thi Phuong Trang; Bui Thi Thuy Duong; Hyun-Jeong Lee; Seung-Won Kang; Dong Van Quyen
Journal:  J Insect Sci       Date:  2017-09-01       Impact factor: 1.857

7.  Genetic and phylogenetic analysis of Chinese sacbrood virus isolates from Apis mellifera.

Authors:  Li Sun; Mingxiao Ma; Ming Li; Dongliang Fei
Journal:  PeerJ       Date:  2019-11-14       Impact factor: 2.984

  7 in total

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