摘要
番茄黄化曲叶病毒病(tomato yellow leaf curl virus disease,TYLCD)是番茄生产上最严重的病害之一。为了更有效地分析其致病机理,本研究根据已知的番茄黄化曲叶病毒(tomato yellow leaf curl virus,TYLCV)基因组序列设计引物,通过PCR扩增技术,分离浙江省TYLCV的全长序列,分析其结构特征,序列同源性及系统发育关系。结果表明:病毒基因全长为2781个核苷酸,共编码6个开放阅读框(AV1,AV2,AC3,AC2,AC1,AC4),即TYLCV的典型结构;核苷酸序列比对分析发现该病毒分离物与美国的TYLCV同源性最高(99.6%);6个编码区分析显示除云南外,AV2与国内其他地区同源性均高达100%;系统发育关系分析表明病毒分离物与江苏、北京、美国和墨西哥的TYLCV划分为一类,亲缘关系最近。这些结果为今后揭示TYLCV的致病机理奠定基础,并为番茄黄化曲叶病毒病的诊断和防治提供科学依据。
Tomato Yellow Leaf Curl Virus Disease （TYLCD） is one of the most serious diseases in tomato production. To analyze the pathogenic mechanism, a full-length sequence of virus isolate was cloned by PCR amplification based on a pair of specific primers designed according to known genome ：sequence of TYLCV. Then, structure feature, homology comparison and phylogenetic analysis of this virus isolate were conducted. The results !indicated that total length of the virus isolate was 2 781 nucleotides in length encoding six open reading frames （ORFs）, i.e. A V2, A V1, A C3, A C2, A C1, A C4, that are the typical structure of TYLCV. Nucleotide sequence analysis showed that the virus isolates in Zhejiang province of East China had the highest homology （99.6%） with that of TYLCV in USA. ORFs analysis suggested that A V2 should be 100% homology with other province in China except Yunnan province of Southwest China. Phylogenetic analysis exhibited that the virus isolate was assigned to the group of Jiangsu, Beijing, USA, and Mexico, indicating the closest genetic relationship. The above results not only contributed to reveal the pathogenic mechanisms of TYLCV, but also laid the scientific foundationfor the diagnosis and prevention of TYLCD.
出处
《分子植物育种》
CAS
CSCD
北大核心
2013年第2期185-192,共8页
Molecular Plant Breeding
基金
浙江省公益技术研究农业项目(2011C22007)
公益性行业(农业)科研专项经费(201003065)
浙江省农业新品种选育重大科技专项(2012C12903)
国家高技术发展计划-863计划(2012AA100100)
国家自然科学基金(31071800)
浙江省自然科学基金(LQ12C15004)
浙江省蔬菜产业创新团队(2009R50026)
浙江省蔬菜产业创新团队(2009R50026)
浙江省重大科技攻关项目(2009C2006)共同资助
关键词
番茄黄化曲叶病毒
分子鉴定
序列分析
Tomato yellow leaf curl virus （TYLCV）, Molecular identification, Sequence analysis
