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A Method for the Analysis of African Swine Fever by Viral Metagenomic Sequencing

文献类型: 外文期刊

作者: Ji, ChiHai 1 ; Jiang, JingZhe 6 ; Wei, YingFang 1 ; Wang, ZhiYuan 1 ; Chen, YongJie 1 ; Mai, ZhanZhuo 1 ; Cai, MengKai 1 ; Qin, ChenXiao 1 ; Cai, Yu 1 ; Yi, HeYou 1 ; Liang, Guan 1 ; Lu, Gang 1 ; Gong, Lang 1 ; Zhang, GuiHong 1 ; Wang, Heng 1 ;

作者机构: 1.South China Agr Univ, Coll Vet Med, Guangdong Prov Key Lab Prevent & Control Severe C, Guangzhou, Peoples R China

2.Shenzhen Kingkey Smart Agr Times Co Ltd, Shenzhen, Peoples R China

3.Key Lab Zoonosis Prevent & Control Guangdong Prov, Guangzhou, Peoples R China

4.Guangdong Lab Lingnan Modern Agr, Guangzhou, Peoples R China

5.Natl Engn Res Ctr Breeding Swine Ind, Guangzhou, Peoples R China

6.Chinese Acad Fishery Sci, South China Sea Fisheries Res Inst, Minist Agr, Key Lab South China Sea Fishery Resources Exploit, Guangzhou, Peoples R China

7.Guangdong Meizhou Vocat & Tech Coll, Meizhou, Peoples R China

关键词: African swine fever virus (ASFV); genome; virome; virus-like particle; whole genome sequencing

期刊名称:FRONTIERS IN VETERINARY SCIENCE ( 2021影响因子:3.471; 五年影响因子:3.821 )

ISSN:

年卷期: 2021 年 8 卷

页码:

收录情况: SCI

摘要: In 2018, there was an outbreak of African swine fever (ASF) in China, which spread to other provinces in the following 3 years and severely damaged China's pig industry. ASF is caused by the African swine fever virus (ASFV). Given that the genome of the African swine fever virus is very complex and whole genome information is currently inadequate, it is important to efficiently obtain virus genome sequences for genomic and epidemiological studies. The prevalent ASFV strains have low genetic variability; therefore, whole genome sequencing analysis provides a basis for the study of ASFV. We provide a method for the efficient sequencing of whole genomes, which requires only a small number of tissues. The database construction method was selected according to the genomic types of ASFV, and the whole ASFV genome was obtained through data filtering, host sequence removal, virus classification, data assembly, virus sequence identification, statistical analysis, gene prediction, and functional analysis. Our proposed method will facilitate ASFV genome sequencing and novel virus discovery.

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