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The role of taxonomic expertise in interpretation of metabarcoding studies

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dc.contributor.author Pappalardo, Paula en
dc.contributor.author Collins, Allen G. en
dc.contributor.author Pagenkopp Lohan, Katrina M. en
dc.contributor.author Hanson, Kate M. en
dc.contributor.author Truskey, Sarit B. en
dc.contributor.author Jaeckle, William en
dc.contributor.author Ames, Cheryl Lewis en
dc.contributor.author Goodheart, Jessica A. en
dc.contributor.author Bush, Stephanie L. en
dc.contributor.author Biancani, Leann M. en
dc.contributor.author Strong, Ellen E. en
dc.contributor.author Vecchione, Michael en
dc.contributor.author Harasewych, M. G. en
dc.contributor.author Reed, Karen en
dc.contributor.author Lin, Chan en
dc.contributor.author Hartil, Elise C. en
dc.contributor.author Whelpley, Jessica en
dc.contributor.author Blumberg, Jamie en
dc.contributor.author Matterson, Kenan en
dc.contributor.author Redmond, Niamh E. en
dc.contributor.author Becker, Allison en
dc.contributor.author Boyle, Michael J. en
dc.contributor.author Osborn, Karen J. en
dc.date.accessioned 2021-05-25T02:04:16Z
dc.date.available 2021-05-25T02:04:16Z
dc.date.issued 2021
dc.identifier.citation Pappalardo, Paula, Collins, Allen G., Pagenkopp Lohan, Katrina M., Hanson, Kate M., Truskey, Sarit B., Jaeckle, William, Ames, Cheryl Lewis, Goodheart, Jessica A., Bush, Stephanie L., Biancani, Leann M., Strong, Ellen E., Vecchione, Michael, Harasewych, M. G., Reed, Karen, Lin, Chan, Hartil, Elise C., Whelpley, Jessica, Blumberg, Jamie, Matterson, Kenan, Redmond, Niamh E., Becker, Allison, Boyle, Michael J., and Osborn, Karen J. 2021. "<a href="https://repository.si.edu/handle/10088/110372">The role of taxonomic expertise in interpretation of metabarcoding studies</a>." <em>ICES Journal of Marine Science</em>, 3397–3410. 78, (9), Oxford, England: Oxford University Press. <a href="https://doi.org/10.1093/icesjms/fsab082">https://doi.org/10.1093/icesjms/fsab082</a>. en
dc.identifier.issn 1054-3139
dc.identifier.uri https://hdl.handle.net/10088/110372
dc.description.abstract Abstract The performance of DNA metabarcoding approaches for characterizing biodiversity can be influenced by multiple factors. Here, we used morphological assessment of taxa in zooplankton samples to develop a large barcode database and to assess the congruence of taxonomic identification with metabarcoding under different conditions. We analysed taxonomic assignment of metabarcoded samples using two genetic markers (COI, 18S V1–2), two types of clustering into molecular operational taxonomic units (OTUs, ZOTUs), and three methods for taxonomic assignment (RDP Classifier, BLASTn to GenBank, BLASTn to a local barcode database). The local database includes 1042 COI and 1108 18S (SSU) barcode sequences, and we added new high-quality sequences to GenBank for both markers, including 109 contributions at the species level. The number of phyla detected and the number of taxa identified to phylum varied between a genetic marker and among the three methods used for taxonomic assignments. Blasting the metabarcodes to the local database generated multiple unique contributions to identify OTUs and ZOTUs. We argue that a multi-marker approach combined with taxonomic expertise to develop a curated, vouchered, local barcode database increases taxon detection with metabarcoding, and its potential as a tool for zooplankton biodiversity surveys. en
dc.relation.ispartof ICES Journal of Marine Science en
dc.title The role of taxonomic expertise in interpretation of metabarcoding studies en
dc.type Journal Article en
dc.identifier.srbnumber 159477
dc.identifier.doi 10.1093/icesjms/fsab082
rft.jtitle ICES Journal of Marine Science
rft.volume 78
rft.issue 9
rft.spage 3397
rft.epage 3410
dc.description.SIUnit NMNH en
dc.description.SIUnit NH-Invertebrate Zoology en
dc.description.SIUnit SERC en
dc.description.SIUnit NH-SMS en
dc.description.SIUnit NH-Other en
dc.citation.spage 3397
dc.citation.epage 3410


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