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

Published online by Cambridge University Press:  23 May 2017

TUOMAS AIVELO Open the ORCID record for TUOMAS AIVELO [Opens in a new window]  and
ALAN MEDLAR
TUOMAS AIVELO*
Affiliation:
Department of Evolutionary Biology and Environmental Studies, University of Zürich, Winterthurerstrasse 190, 8057 Zürich, Switzerland
ALAN MEDLAR
Affiliation:
Institute of Biotechnology, University of Helsinki, Viikinkaari 5, PO Box 56, Finland
*
*Corresponding author: Department of Evolutionary Biology and Environmental Studies, University of Zürich, Winterthurerstrasse 190, 8057 Zürich, Switzerland. E-mail: tuomas.aivelo@ieu.uzh.ch
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Summary

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.

Keywords

mammalsgenetic identificationhigh-throughtput sequencingcestodesnematodescommunity ecology

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Type
Special Issue Review
Information
Parasitology , Volume 145 , Special Issue 5: Advances and challenges in barcoding of microbes, parasites, and their vectors and reservoirs , April 2018 , pp. 608 - 621
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Copyright © Cambridge University Press 2017 

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