中国媒介生物学及控制杂志 ›› 2019, Vol. 30 ›› Issue (2): 180-184.DOI: 10.11853/j.issn.1003.8280.2019.02.015

• 论著 • 上一篇    下一篇

基于DNA条形码技术的粉螨种类鉴定研究

郑凌霄1, 尹灿灿1, 王逸枭1, 李梦楠1, 邵黄芳1, 方惟希1, 杨曼1, 赵金红2, 孙恩涛1   

  1. 1. 皖南医学院检验学院卫生检验与检疫学教研室, 安徽 芜湖 241002;
    2. 皖南医学院寄生虫教研室, 安徽 芜湖 241002
  • 收稿日期:2018-11-19 出版日期:2019-04-20 发布日期:2019-04-20
  • 通讯作者: 孙恩涛,Email:asdentao@126.com
  • 作者简介:郑凌霄,男,在读硕士,主要从事病原生物学研究,Email:wyzhenglx@126.com
  • 基金资助:
    国家自然科学基金(31870352);安徽省高校优秀青年人才支持计划重点项目(gxyqZD2016174);安徽省高校自然科学研究重点项目(KJ2016A725)

Identification of acaroid mite species based on DNA barcoding

ZHENG Ling-xiao1, YIN Can-can1, WANG Yi-xiao1, LI Meng-nan1, SHAO Huang-fang1, FANG Wei-xi1, YANG Man1, ZHAO Jin-hong2, SUN En-tao1   

  1. 1. Department of Hygiene Inspection and Quarantine, School of Laboratory Medcine, Wannan Medical College, Wuhu 241002, China;
    2. Department of Medcine Parasitology, Wannan Medical College
  • Received:2018-11-19 Online:2019-04-20 Published:2019-04-20
  • Supported by:
    Supported by the National Natural Science Foundation of China (No. 31870352), Key Projects for Supporting Outstanding Young Talents in Universities in Anhui (No. gxyqZD2016174) and the Key Projects of Natural Science Research in Anhui Colleges and Universities (No. KJ2016A725)

摘要: 目的 建立常见粉螨DNA条形码鉴定方法。方法 对2017年3-12月采自安徽省部分地区的面粉、中药材、饲料等储藏物中的粉螨进行形态学鉴定,获得相应种类线粒体细胞色素C氧化酶亚基Ⅰ(COⅠ)基因序列作为标准片段。同时,通过美国国立生物技术信息中心检索已知粉螨COⅠ基因序列,应用DNAStar和MEGA 6.0软件进行序列分析,使用Neighbor-Joining (NJ)法构建系统发育树。结果 经形态学鉴定出7种粉螨,分别为粗脚粉螨、椭圆食粉螨、腐食酪螨、害嗜鳞螨、拱殖嗜渣螨、棕脊足螨和粉尘螨。DNA条形码技术鉴定结果与形态学鉴定结果一致,种间遗传距离为0.058~0.323,种内遗传距离为0.000~0.015。NJ系统进化树中,粉螨聚类分析结果与形态学鉴定的物种分类地位一致。结论 DNA条形码可作为形态学鉴定方法的补充,对粉螨种类进行准确快速鉴定。

关键词: DNA条形码, 粉螨, 分子鉴定

Abstract: Objective To establish a DNA barcoding method for identification of common species of acaroid mites. Methods From March to December, 2017, acaroid mites were collected from flour, Chinese medicinal materials, and normal diet in different parts of Anhui province, China, for morphological identification. Gene sequences of mitochondrial cytochrome C oxidase subunitⅠ(COⅠ) from corresponding species were used as standard fragments. The COⅠ gene sequences from known acaroid mites were collected from the National Center for Biotechnology Information and analyzed using DNAStar and MEGA 6.0. A phylogenetic tree was constructed using the neighbor-joining (NJ) algorithm. Results Morphological identification revealed 7 species of acaroid mites:Acarus siro, Aleuroglyphus ovatus, Tyrophagus putrescentiae, Lepidoglyphus destructor, Gohieria fusca, Chortoglyphus arcuatus, and Dermatophagoides farinae. The results of DNA barcoding identification were consistent with the morphological results. The interspecific genetic distance was 0.058-0.323, while the intraspecific genetic distance was 0.000-0.015. In the NJ phylogenetic tree, the cluster analysis results of acaroid mites were consistent with the taxonomic status by morphological identification. Conclusion DNA barcoding can be used as a supplement to morphological identification, which provides fast and accurate identification of the species of acaroid mites.

Key words: DNA barcoding, Acaroid mite, Molecular identification

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