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Trends in Parasitology
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Trends in Parasitology
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Trends in Parasitology
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Article . 2015 . Peer-reviewed
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Diverse Applications of Environmental DNA Methods in Parasitology

Authors: D.T.J. Littlewood; David Bass; David Bass; Hanna Hartikainen; Grant D. Stentiford;

Diverse Applications of Environmental DNA Methods in Parasitology

Abstract

Nucleic acid extraction and sequencing of genes from organisms within envi- ronmental samples encompasses a variety of techniques collectively referred to as environmental DNA or ‘eDNA’. The key advantages of eDNA analysis include the detection of cryptic or otherwise elusive organisms, large-scale sampling with fewer biases than specimen-based methods, and generation of data for molecular systematics. These are particularly relevant for parasitology because parasites can be difficult to locate and are morphologically intractable and genetically divergent. However, parasites have rarely been the focus of eDNA studies. Focusing on eukaryote parasites, we review the increasing diversity of the ‘eDNA toolbox’. Combining eDNA methods with complementary tools offers much potential to understand parasite communities, disease risk, and parasite roles in broader ecosystem processes such as food web structuring and com- munity assembly.

Trends in Parasitology, 31 (10)

Keywords

Infectious Diseases, Animals, Parasites, Parasitology, DNA, Ecosystem, Environmental Monitoring

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
196
Top 1%
Top 10%
Top 1%
Green
hybrid