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Development and validation of a multi-locus DNA metabarcoding method to identify endangered species in complex samples

DNA metabarcoding provides great potential for species identification in complex samples such as food supplements and traditional medicines. Such a method would aid Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) enforcement officers to combat wildlife crime b...

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Autores principales: Arulandhu, Alfred J., Staats, Martijn, Hagelaar, Rico, Voorhuijzen, Marleen M., Prins, Theo W., Scholtens, Ingrid, Costessi, Adalberto, Duijsings, Danny, Rechenmann, François, Gaspar, Frédéric B., Barreto Crespo, Maria Teresa, Holst-Jensen, Arne, Birck, Matthew, Burns, Malcolm, Haynes, Edward, Hochegger, Rupert, Klingl, Alexander, Lundberg, Lisa, Natale, Chiara, Niekamp, Hauke, Perri, Elena, Barbante, Alessandra, Rosec, Jean-Philippe, Seyfarth, Ralf, Sovová, Tereza, Van Moorleghem, Christoff, van Ruth, Saskia, Peelen, Tamara, Kok, Esther
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632295/
https://www.ncbi.nlm.nih.gov/pubmed/29020743
http://dx.doi.org/10.1093/gigascience/gix080
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author Arulandhu, Alfred J.
Staats, Martijn
Hagelaar, Rico
Voorhuijzen, Marleen M.
Prins, Theo W.
Scholtens, Ingrid
Costessi, Adalberto
Duijsings, Danny
Rechenmann, François
Gaspar, Frédéric B.
Barreto Crespo, Maria Teresa
Holst-Jensen, Arne
Birck, Matthew
Burns, Malcolm
Haynes, Edward
Hochegger, Rupert
Klingl, Alexander
Lundberg, Lisa
Natale, Chiara
Niekamp, Hauke
Perri, Elena
Barbante, Alessandra
Rosec, Jean-Philippe
Seyfarth, Ralf
Sovová, Tereza
Van Moorleghem, Christoff
van Ruth, Saskia
Peelen, Tamara
Kok, Esther
author_facet Arulandhu, Alfred J.
Staats, Martijn
Hagelaar, Rico
Voorhuijzen, Marleen M.
Prins, Theo W.
Scholtens, Ingrid
Costessi, Adalberto
Duijsings, Danny
Rechenmann, François
Gaspar, Frédéric B.
Barreto Crespo, Maria Teresa
Holst-Jensen, Arne
Birck, Matthew
Burns, Malcolm
Haynes, Edward
Hochegger, Rupert
Klingl, Alexander
Lundberg, Lisa
Natale, Chiara
Niekamp, Hauke
Perri, Elena
Barbante, Alessandra
Rosec, Jean-Philippe
Seyfarth, Ralf
Sovová, Tereza
Van Moorleghem, Christoff
van Ruth, Saskia
Peelen, Tamara
Kok, Esther
author_sort Arulandhu, Alfred J.
collection PubMed
description DNA metabarcoding provides great potential for species identification in complex samples such as food supplements and traditional medicines. Such a method would aid Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) enforcement officers to combat wildlife crime by preventing illegal trade of endangered plant and animal species. The objective of this research was to develop a multi-locus DNA metabarcoding method for forensic wildlife species identification and to evaluate the applicability and reproducibility of this approach across different laboratories. A DNA metabarcoding method was developed that makes use of 12 DNA barcode markers that have demonstrated universal applicability across a wide range of plant and animal taxa and that facilitate the identification of species in samples containing degraded DNA. The DNA metabarcoding method was developed based on Illumina MiSeq amplicon sequencing of well-defined experimental mixtures, for which a bioinformatics pipeline with user-friendly web-interface was developed. The performance of the DNA metabarcoding method was assessed in an international validation trial by 16 laboratories, in which the method was found to be highly reproducible and sensitive enough to identify species present in a mixture at 1% dry weight content. The advanced multi-locus DNA metabarcoding method assessed in this study provides reliable and detailed data on the composition of complex food products, including information on the presence of CITES-listed species. The method can provide improved resolution for species identification, while verifying species with multiple DNA barcodes contributes to an enhanced quality assurance.
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spelling pubmed-56322952017-10-12 Development and validation of a multi-locus DNA metabarcoding method to identify endangered species in complex samples Arulandhu, Alfred J. Staats, Martijn Hagelaar, Rico Voorhuijzen, Marleen M. Prins, Theo W. Scholtens, Ingrid Costessi, Adalberto Duijsings, Danny Rechenmann, François Gaspar, Frédéric B. Barreto Crespo, Maria Teresa Holst-Jensen, Arne Birck, Matthew Burns, Malcolm Haynes, Edward Hochegger, Rupert Klingl, Alexander Lundberg, Lisa Natale, Chiara Niekamp, Hauke Perri, Elena Barbante, Alessandra Rosec, Jean-Philippe Seyfarth, Ralf Sovová, Tereza Van Moorleghem, Christoff van Ruth, Saskia Peelen, Tamara Kok, Esther Gigascience Research DNA metabarcoding provides great potential for species identification in complex samples such as food supplements and traditional medicines. Such a method would aid Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) enforcement officers to combat wildlife crime by preventing illegal trade of endangered plant and animal species. The objective of this research was to develop a multi-locus DNA metabarcoding method for forensic wildlife species identification and to evaluate the applicability and reproducibility of this approach across different laboratories. A DNA metabarcoding method was developed that makes use of 12 DNA barcode markers that have demonstrated universal applicability across a wide range of plant and animal taxa and that facilitate the identification of species in samples containing degraded DNA. The DNA metabarcoding method was developed based on Illumina MiSeq amplicon sequencing of well-defined experimental mixtures, for which a bioinformatics pipeline with user-friendly web-interface was developed. The performance of the DNA metabarcoding method was assessed in an international validation trial by 16 laboratories, in which the method was found to be highly reproducible and sensitive enough to identify species present in a mixture at 1% dry weight content. The advanced multi-locus DNA metabarcoding method assessed in this study provides reliable and detailed data on the composition of complex food products, including information on the presence of CITES-listed species. The method can provide improved resolution for species identification, while verifying species with multiple DNA barcodes contributes to an enhanced quality assurance. Oxford University Press 2017-08-19 /pmc/articles/PMC5632295/ /pubmed/29020743 http://dx.doi.org/10.1093/gigascience/gix080 Text en © The Authors 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Arulandhu, Alfred J.
Staats, Martijn
Hagelaar, Rico
Voorhuijzen, Marleen M.
Prins, Theo W.
Scholtens, Ingrid
Costessi, Adalberto
Duijsings, Danny
Rechenmann, François
Gaspar, Frédéric B.
Barreto Crespo, Maria Teresa
Holst-Jensen, Arne
Birck, Matthew
Burns, Malcolm
Haynes, Edward
Hochegger, Rupert
Klingl, Alexander
Lundberg, Lisa
Natale, Chiara
Niekamp, Hauke
Perri, Elena
Barbante, Alessandra
Rosec, Jean-Philippe
Seyfarth, Ralf
Sovová, Tereza
Van Moorleghem, Christoff
van Ruth, Saskia
Peelen, Tamara
Kok, Esther
Development and validation of a multi-locus DNA metabarcoding method to identify endangered species in complex samples
title Development and validation of a multi-locus DNA metabarcoding method to identify endangered species in complex samples
title_full Development and validation of a multi-locus DNA metabarcoding method to identify endangered species in complex samples
title_fullStr Development and validation of a multi-locus DNA metabarcoding method to identify endangered species in complex samples
title_full_unstemmed Development and validation of a multi-locus DNA metabarcoding method to identify endangered species in complex samples
title_short Development and validation of a multi-locus DNA metabarcoding method to identify endangered species in complex samples
title_sort development and validation of a multi-locus dna metabarcoding method to identify endangered species in complex samples
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632295/
https://www.ncbi.nlm.nih.gov/pubmed/29020743
http://dx.doi.org/10.1093/gigascience/gix080
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