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Metabarcoding using multiplexed markers increases species detection in complex zooplankton communities

Metabarcoding combines DNA barcoding with high‐throughput sequencing, often using one genetic marker to understand complex and taxonomically diverse samples. However, species‐level identification depends heavily on the choice of marker and the selected primer pair, often with a trade‐off between suc...

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Autores principales: Zhang, Guang K., Chain, Frédéric J. J., Abbott, Cathryn L., Cristescu, Melania E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6231476/
https://www.ncbi.nlm.nih.gov/pubmed/30459837
http://dx.doi.org/10.1111/eva.12694
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author Zhang, Guang K.
Chain, Frédéric J. J.
Abbott, Cathryn L.
Cristescu, Melania E.
author_facet Zhang, Guang K.
Chain, Frédéric J. J.
Abbott, Cathryn L.
Cristescu, Melania E.
author_sort Zhang, Guang K.
collection PubMed
description Metabarcoding combines DNA barcoding with high‐throughput sequencing, often using one genetic marker to understand complex and taxonomically diverse samples. However, species‐level identification depends heavily on the choice of marker and the selected primer pair, often with a trade‐off between successful species amplification and taxonomic resolution. We present a versatile metabarcoding protocol for biomonitoring that involves the use of two barcode markers (COI and 18S) and four primer pairs in a single high‐throughput sequencing run, via sample multiplexing. We validate the protocol using a series of 24 mock zooplanktonic communities incorporating various levels of genetic variation. With the use of a single marker and single primer pair, the highest species recovery was 77%. With all three COI fragments, we detected 62%–83% of species across the mock communities, while the use of the 18S fragment alone resulted in the detection of 73%–75% of species. The species detection level was significantly improved to 89%–93% when both markers were used. Furthermore, multiplexing did not have a negative impact on the proportion of reads assigned to each species and the total number of species detected was similar to when markers were sequenced alone. Overall, our metabarcoding approach utilizing two barcode markers and multiple primer pairs per barcode improved species detection rates over a single marker/primer pair by 14% to 35%, making it an attractive and relatively cost‐effective method for biomonitoring natural zooplankton communities. We strongly recommend combining evolutionary independent markers and, when necessary, multiple primer pairs per marker to increase species detection (i.e., reduce false negatives) in metabarcoding studies.
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spelling pubmed-62314762018-11-20 Metabarcoding using multiplexed markers increases species detection in complex zooplankton communities Zhang, Guang K. Chain, Frédéric J. J. Abbott, Cathryn L. Cristescu, Melania E. Evol Appl Original Articles Metabarcoding combines DNA barcoding with high‐throughput sequencing, often using one genetic marker to understand complex and taxonomically diverse samples. However, species‐level identification depends heavily on the choice of marker and the selected primer pair, often with a trade‐off between successful species amplification and taxonomic resolution. We present a versatile metabarcoding protocol for biomonitoring that involves the use of two barcode markers (COI and 18S) and four primer pairs in a single high‐throughput sequencing run, via sample multiplexing. We validate the protocol using a series of 24 mock zooplanktonic communities incorporating various levels of genetic variation. With the use of a single marker and single primer pair, the highest species recovery was 77%. With all three COI fragments, we detected 62%–83% of species across the mock communities, while the use of the 18S fragment alone resulted in the detection of 73%–75% of species. The species detection level was significantly improved to 89%–93% when both markers were used. Furthermore, multiplexing did not have a negative impact on the proportion of reads assigned to each species and the total number of species detected was similar to when markers were sequenced alone. Overall, our metabarcoding approach utilizing two barcode markers and multiple primer pairs per barcode improved species detection rates over a single marker/primer pair by 14% to 35%, making it an attractive and relatively cost‐effective method for biomonitoring natural zooplankton communities. We strongly recommend combining evolutionary independent markers and, when necessary, multiple primer pairs per marker to increase species detection (i.e., reduce false negatives) in metabarcoding studies. John Wiley and Sons Inc. 2018-09-15 /pmc/articles/PMC6231476/ /pubmed/30459837 http://dx.doi.org/10.1111/eva.12694 Text en © 2018 McGill University. Evolutionary Applications published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Zhang, Guang K.
Chain, Frédéric J. J.
Abbott, Cathryn L.
Cristescu, Melania E.
Metabarcoding using multiplexed markers increases species detection in complex zooplankton communities
title Metabarcoding using multiplexed markers increases species detection in complex zooplankton communities
title_full Metabarcoding using multiplexed markers increases species detection in complex zooplankton communities
title_fullStr Metabarcoding using multiplexed markers increases species detection in complex zooplankton communities
title_full_unstemmed Metabarcoding using multiplexed markers increases species detection in complex zooplankton communities
title_short Metabarcoding using multiplexed markers increases species detection in complex zooplankton communities
title_sort metabarcoding using multiplexed markers increases species detection in complex zooplankton communities
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6231476/
https://www.ncbi.nlm.nih.gov/pubmed/30459837
http://dx.doi.org/10.1111/eva.12694
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