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通过18S rDNA的聚合酶链反应/限制性片段长度多态性分析确定的一些啮齿动物艾美耳球虫(顶复门:艾美耳科)物种的分类学和系统发育

Taxonomy and phylogeny of some Eimeria (Apicomplexa:Eimeriidae) species of rodents as determined by polymerase chain reaction/restriction-fragment-length polymorphism analysis of 18S rDNA.

作者信息

Hnida J A, Duszynski D W

机构信息

Division of Science and Technology, Peru State College, NE 68421, USA.

出版信息

Parasitol Res. 1999 Nov;85(11):887-94. doi: 10.1007/s004360050653.

Abstract

The 18S rDNA genes of 10 Eimeria species from rodents (E. albigulae, E. arizonensis, E. falciformis, E. langebarteli, E. nieschulzi, E. onychomysis, E. papillata, E. reedi, E. separata, E. sevilletensis) were polymerase-chain-reaction (PCR)-amplified, digested with 12 restriction endonucleases, and electophoresed in agarose gels. The resulting fragment patterns (riboprints) distinguished all species except E. sevilletensis from E. falciformis, and E. arizonensis from E. albigulae; the sporulated oocysts of the latter two species and of E. onychomysis are often indistinguishable morphologically. When the restriction fragment data were analyzed using distance and parsimony phylogenetic methods a clade was found consistently, which contained E. arizonensis, E. albigulae, E. onychomysis, E. reedi, and E. papillata. This finding and other results of the phylogenetic analyses agreed and supplemented previous phylogenetic work on the Eimeria of rodents. Riboprinting appears to provide useful data for taxonomic and phylogenetic studies on the genus Eimeria and may be especially practical when samples do not contain enough oocysts for other molecular-based methods.

摘要

对来自啮齿动物的10种艾美耳球虫(白色艾美耳球虫、亚利桑那艾美耳球虫、镰形艾美耳球虫、兰格巴特尔艾美耳球虫、尼氏艾美耳球虫、甲蚬艾美耳球虫、乳头艾美耳球虫、里氏艾美耳球虫、分离艾美耳球虫、塞维列艾美耳球虫)的18S rDNA基因进行聚合酶链反应(PCR)扩增,用12种限制性内切酶消化,并在琼脂糖凝胶中进行电泳。所得片段模式(核糖指纹)区分了除塞维列艾美耳球虫与镰形艾美耳球虫、亚利桑那艾美耳球虫与白色艾美耳球虫之外的所有物种;后两个物种以及甲蚬艾美耳球虫的孢子化卵囊在形态上通常难以区分。当使用距离和简约系统发育方法分析限制性片段数据时,始终发现一个分支,其中包含亚利桑那艾美耳球虫、白色艾美耳球虫、甲蚬艾美耳球虫、里氏艾美耳球虫和乳头艾美耳球虫。这一发现以及系统发育分析的其他结果与之前关于啮齿动物艾美耳球虫的系统发育研究一致并进行了补充。核糖指纹分析似乎为艾美耳球虫属的分类和系统发育研究提供了有用的数据,当样本中卵囊数量不足而无法采用其他基于分子的方法时,该方法可能特别实用。

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