Literature DB >> 26450644

Is qualitative and quantitative metabarcoding of dung fauna biodiversity feasible?

Wolf U Blanckenhorn1, Patrick T Rohner1, Marco V Bernasconi1,2, Johannes Haugstetter3, Andres Buser3.   

Abstract

In biodiversity assessments, especially of small-bodied organisms for which taxonomic expertise is lacking, identification by genetic barcoding may be a cost-effective and efficient alternative to traditional identification of species by morphology, ecology, and behavior. The authors tested the feasibility and accuracy of such an approach using dung insects of practical relevance in ecotoxicological assessments of veterinary pharmaceutical residues in the environment. They produced 8 known mixtures that varied in absolute and relative composition of small-bodied and large-bodied species to see whether mitochondrial cytochrome c oxidase subunit 1 barcoding picks up all species qualitatively and quantitatively. As demonstrated before in other contexts, such metabarcoding of large numbers of dung insect specimens is principally possible using next-generation sequencing. The authors recovered most species in a sample (low type I error), at minimum permitting analysis of species richness. They obtained even quantitative responses reflecting the body size of the species, although the number of specimens was not well detected. The latter is problematic when calculating diversity indices. Nevertheless, the method yielded too many closely related false positives (type II error), thus generally overestimating species diversity and richness. These errors can be reduced by refining methods and data filtering, although this requires bioinformatics expertise often unavailable where such research is carried out. Identification by barcoding foremost hinges on a good reference database, which does not yet exist for dung organisms but would be worth developing for practical applications. Environ Toxicol Chem 2016;35:1970-1977.
© 2015 SETAC. © 2015 SETAC.

Entities:  

Keywords:  Barcode; Biodiversity assessment; Species detection; Survival; Taxonomic resolution

Mesh:

Year:  2016        PMID: 26450644     DOI: 10.1002/etc.3275

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   3.742


  6 in total

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Authors:  Christopher J Barnes; Caitlin A Burns; Christopher J van der Gast; Niall P McNamara; Gary D Bending
Journal:  Front Microbiol       Date:  2016-08-22       Impact factor: 5.640

2.  DNA in a bottle-Rapid metabarcoding survey for early alerts of invasive species in ports.

Authors:  Yaisel J Borrell; Laura Miralles; Hoang Do Huu; Khaled Mohammed-Geba; Eva Garcia-Vazquez
Journal:  PLoS One       Date:  2017-09-05       Impact factor: 3.240

3.  DNA metabarcoding for high-throughput monitoring of estuarine macrobenthic communities.

Authors:  Jorge Lobo; Shadi Shokralla; Maria Helena Costa; Mehrdad Hajibabaei; Filipe Oliveira Costa
Journal:  Sci Rep       Date:  2017-11-15       Impact factor: 4.379

4.  Proposal for a Monitoring Concept for Veterinary Medicinal Products with PBT Properties, Using Parasiticides as a Case Study.

Authors:  Jörg Römbke; Karen Duis
Journal:  Toxics       Date:  2018-02-09

5.  Full-Length Multi-Barcoding: DNA Barcoding from Single Ingredient to Complex Mixtures.

Authors:  Peng Zhang; Chunsheng Liu; Xiasheng Zheng; Lan Wu; Zhixiang Liu; Baosheng Liao; Yuhua Shi; Xiwen Li; Jiang Xu; Shilin Chen
Journal:  Genes (Basel)       Date:  2019-05-07       Impact factor: 4.096

6.  The Intestinal Eukaryotic and Bacterial Biome of Spotted Hyenas: The Impact of Social Status and Age on Diversity and Composition.

Authors:  Emanuel Heitlinger; Susana C M Ferreira; Dagmar Thierer; Heribert Hofer; Marion L East
Journal:  Front Cell Infect Microbiol       Date:  2017-06-16       Impact factor: 5.293

  6 in total

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