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用于野生哺乳动物蠕虫群落鉴定的宏条形码方法中的机遇与挑战

Opportunities and challenges in metabarcoding approaches for helminth community identification in wild mammals.

作者信息

Aivelo Tuomas, Medlar Alan

机构信息

Department of Evolutionary Biology and Environmental Studies,University of Zürich,Winterthurerstrasse 190,8057 Zürich,Switzerland.

Institute of Biotechnology,University of Helsinki,Viikinkaari 5,PO Box 56,Finland.

出版信息

Parasitology. 2018 Apr;145(5):608-621. doi: 10.1017/S0031182017000610. Epub 2017 May 23.

Abstract

Despite metabarcoding being widely used to analyse bacterial community composition, its application in parasitological research remains limited. What interest there has been has focused on previously intractable research settings where traditional methods are inappropriate, for example, in longitudinal studies and studies involving endangered species. In settings such as these, non-invasive sampling combined with metabarcoding can provide a fast and accurate assessment of component communities. In this paper we review the use of metabarcoding in the study of helminth communities in wild mammals, outlining the necessary procedures from sample collection to statistical analysis. We highlight the limitations of the metabarcoding approach and speculate on what type of parasitological study would benefit from such methods in the future.

摘要

尽管元条形码技术被广泛用于分析细菌群落组成,但其在寄生虫学研究中的应用仍然有限。目前已有的相关研究兴趣主要集中在传统方法不适用的先前难以处理的研究场景中,例如纵向研究和涉及濒危物种的研究。在这些场景中,非侵入性采样与元条形码技术相结合可以快速、准确地评估组成群落。在本文中,我们综述了元条形码技术在野生哺乳动物蠕虫群落研究中的应用,概述了从样本采集到统计分析的必要程序。我们强调了元条形码方法的局限性,并推测未来哪种类型的寄生虫学研究将受益于此类方法。

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