内蒙古首次采获白纹伊蚊的形态学与分子生物学鉴定
Morphological and molecular identification of Aedes albopictus first reported in Inner Mongolia Autonomous Region,China
南晓伟 1王珊珊 1陈继来 1司晓艳 1吕威 1郭之君 1乔丽红 1王大伟 1王文瑞1
作者信息
- 1. 内蒙古自治区综合疾病预防控制中心病媒生物防制科,内蒙古 呼和浩特 010031
- 折叠
摘要
目的 对2022年内蒙古自治区呼和浩特市土默特左旗采集到的伊蚊属蚊虫进行种类鉴定,确定是否白纹伊蚊.方法 2022年8月成蚊监测中捕获6只疑似白纹伊蚊蚊虫,通过形态学方法检索伊蚊属蚊虫的形态特征,并同时提取3只蚊虫基因组DNA,对线粒体细胞色素C氧化酶亚基Ⅰ(COⅠ)基因和内转录间隔区2(ITS2)片段进行PCR扩增和测序,测序结果在GenBank中进行比对,采用邻接法构建系统进化树.结果 采获的伊蚊属蚊虫体色、足特征与白纹伊蚊相符,其COⅠ基因序列和ITS2基因序列在GenBank中比对,与白纹伊蚊序列相似度分别>99.00%和>90.00%,基于COⅠ和ITS2序列的系统发育进化树显示,其均与已知白纹伊蚊聚为一支.结论 2022年在呼和浩特市捕获的伊蚊属蚊虫通过形态学和分子生物学的方法鉴定为白纹伊蚊,这是首次在内蒙古自治区监测到白纹伊蚊.
Abstract
Objective To identify whether the Aedes mosquitoes collected in Tumed Left Banner,Hohhot,the Inner Mongolia Autonomous Region,China in 2022 were Ae.albopictus.Methods Six suspected Ae.albopictus mosquitoes were captured in adult mosquito surveillance in August 2022.Their morphological features were characterized.Genomic DNA was extracted from three mosquitoes for amplification and sequencing of the mitochondrial cytochrome c oxidase subunitⅠ(COⅠ)gene and internal transcribed spacer 2(ITS2)gene fragments.The sequencing results were aligned with those in GenBank,and a phylogenetic tree was constructed using the neighbor-joining method.Results The body color and foot characteristics of the collected Aedes mosquitoes were consistent with those of Ae.albopictus.The COⅠand ITS2 alignment results showed the similarities to the sequences of Ae.albopictus were>99.00%and>90.00%,respectively.The phylogenetic tree based on the COⅠ and ITS2 sequences showed that they were all in the same branch as the known Ae.albopictus.Conclusions The Aedes mosquitoes captured in Hohhot in 2022 were morphologically and molecularly identified as Ae.albopictus,and this was the first time that Ae.albopictus was detected in the Inner Mongolia Autonomous Region.
关键词
蚊虫/白纹伊蚊/基因型/内蒙古自治区/系统发育Key words
Mosquito/Aedes albopictus/Genotype/Inner Mongolia Autonomous Region/Phylogeny引用本文复制引用
基金项目
内蒙古自治区自然科学基金(2020MS08162)
出版年
2024
NETL
NSTL
万方数据