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Performance of DNA metabarcoding, standard barcoding, and morphological approach in the identification of host–parasitoid interactions

Understanding interactions between herbivores and parasitoids is essential for successful biodiversity protection and monitoring and for biological pest control. Morphological identifications employ insect rearing and are complicated by insects’ high diversity and crypsis. DNA barcoding has been suc...

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Detalles Bibliográficos
Autores principales: Šigut, Martin, Kostovčík, Martin, Šigutová, Hana, Hulcr, Jiří, Drozd, Pavel, Hrček, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5728528/
https://www.ncbi.nlm.nih.gov/pubmed/29236697
http://dx.doi.org/10.1371/journal.pone.0187803
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author Šigut, Martin
Kostovčík, Martin
Šigutová, Hana
Hulcr, Jiří
Drozd, Pavel
Hrček, Jan
author_facet Šigut, Martin
Kostovčík, Martin
Šigutová, Hana
Hulcr, Jiří
Drozd, Pavel
Hrček, Jan
author_sort Šigut, Martin
collection PubMed
description Understanding interactions between herbivores and parasitoids is essential for successful biodiversity protection and monitoring and for biological pest control. Morphological identifications employ insect rearing and are complicated by insects’ high diversity and crypsis. DNA barcoding has been successfully used in studies of host–parasitoid interactions as it can substantially increase the recovered real host–parasitoid diversity distorted by overlooked species complexes, or by species with slight morphological differences. However, this approach does not allow the simultaneous detection and identification of host(s) and parasitoid(s). Recently, high-throughput sequencing has shown high potential for surveying ecological communities and trophic interactions. Using mock samples comprising insect larvae and their parasitoids, we tested the potential of DNA metabarcoding for identifying individuals involved in host–parasitoid interactions to different taxonomic levels, and compared it to standard DNA barcoding and morphological approaches. For DNA metabarcoding, we targeted the standard barcoding marker cytochrome oxidase subunit I using highly degenerate primers, 2*300 bp sequencing on a MiSeq platform, and RTAX classification using paired-end reads. Additionally, using a large host–parasitoid dataset from a Central European floodplain forest, we assess the completeness and usability of a local reference library by confronting the number of Barcoding Index Numbers obtained by standard barcoding with the number of morphotypes. Overall, metabarcoding recovery was high, identifying 92.8% of the taxa present in mock samples, and identification success within individual taxonomic levels did not significantly differ among metabarcoding, standard barcoding, and morphology. Based on the current local reference library, 39.4% parasitoid and 90.7% host taxa were identified to the species level. DNA barcoding estimated higher parasitoid diversity than morphotyping, especially in groups with high level of crypsis. This study suggests the potential of metabarcoding for effectively recovering host–parasitoid diversity, together with more accurate identifications obtained from building reliable and comprehensive reference libraries, especially for parasitoids.
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spelling pubmed-57285282017-12-22 Performance of DNA metabarcoding, standard barcoding, and morphological approach in the identification of host–parasitoid interactions Šigut, Martin Kostovčík, Martin Šigutová, Hana Hulcr, Jiří Drozd, Pavel Hrček, Jan PLoS One Research Article Understanding interactions between herbivores and parasitoids is essential for successful biodiversity protection and monitoring and for biological pest control. Morphological identifications employ insect rearing and are complicated by insects’ high diversity and crypsis. DNA barcoding has been successfully used in studies of host–parasitoid interactions as it can substantially increase the recovered real host–parasitoid diversity distorted by overlooked species complexes, or by species with slight morphological differences. However, this approach does not allow the simultaneous detection and identification of host(s) and parasitoid(s). Recently, high-throughput sequencing has shown high potential for surveying ecological communities and trophic interactions. Using mock samples comprising insect larvae and their parasitoids, we tested the potential of DNA metabarcoding for identifying individuals involved in host–parasitoid interactions to different taxonomic levels, and compared it to standard DNA barcoding and morphological approaches. For DNA metabarcoding, we targeted the standard barcoding marker cytochrome oxidase subunit I using highly degenerate primers, 2*300 bp sequencing on a MiSeq platform, and RTAX classification using paired-end reads. Additionally, using a large host–parasitoid dataset from a Central European floodplain forest, we assess the completeness and usability of a local reference library by confronting the number of Barcoding Index Numbers obtained by standard barcoding with the number of morphotypes. Overall, metabarcoding recovery was high, identifying 92.8% of the taxa present in mock samples, and identification success within individual taxonomic levels did not significantly differ among metabarcoding, standard barcoding, and morphology. Based on the current local reference library, 39.4% parasitoid and 90.7% host taxa were identified to the species level. DNA barcoding estimated higher parasitoid diversity than morphotyping, especially in groups with high level of crypsis. This study suggests the potential of metabarcoding for effectively recovering host–parasitoid diversity, together with more accurate identifications obtained from building reliable and comprehensive reference libraries, especially for parasitoids. Public Library of Science 2017-12-13 /pmc/articles/PMC5728528/ /pubmed/29236697 http://dx.doi.org/10.1371/journal.pone.0187803 Text en © 2017 Šigut et al 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 use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Šigut, Martin
Kostovčík, Martin
Šigutová, Hana
Hulcr, Jiří
Drozd, Pavel
Hrček, Jan
Performance of DNA metabarcoding, standard barcoding, and morphological approach in the identification of host–parasitoid interactions
title Performance of DNA metabarcoding, standard barcoding, and morphological approach in the identification of host–parasitoid interactions
title_full Performance of DNA metabarcoding, standard barcoding, and morphological approach in the identification of host–parasitoid interactions
title_fullStr Performance of DNA metabarcoding, standard barcoding, and morphological approach in the identification of host–parasitoid interactions
title_full_unstemmed Performance of DNA metabarcoding, standard barcoding, and morphological approach in the identification of host–parasitoid interactions
title_short Performance of DNA metabarcoding, standard barcoding, and morphological approach in the identification of host–parasitoid interactions
title_sort performance of dna metabarcoding, standard barcoding, and morphological approach in the identification of host–parasitoid interactions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5728528/
https://www.ncbi.nlm.nih.gov/pubmed/29236697
http://dx.doi.org/10.1371/journal.pone.0187803
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