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Title: | Author Correction: Biodiversity estimates and ecological interpretations of meiofaunal communities are biased by the taxonomic approach | Authors: | Leasi, Francesca Sevigny, Joseph L. Laflamme, Eric M. ARTOIS, Tom Curini-Galletti, Marco de Jesus Navarrete, Alberto Di Domenico, Maikon Goetz, Freya Hall, Jeffrey A. Hochberg, Rick Joerger, Katharina M. Jondelius, Uif Todaro, M. Antonio Wirshing, Herman H. Norenburg, Jon L. Thomas, W. Kelley |
Issue Date: | 2018 | Publisher: | NATURE PUBLISHING GROUP | Source: | COMMUNICATIONS BIOLOGY, 1 (Art N° 237) | Abstract: | Accurate assessments of biodiversity are crucial to advising ecosystem-monitoring programs and understanding ecosystem function. Nevertheless, a standard operating procedure to assess biodiversity accurately and consistently has not been established. This is especially true for meiofauna, a diverse community (>20 phyla) of small benthic invertebrates that have fundamental ecological roles. Recent studies show that metabarcoding is a cost-effective and time-effective method to estimate meiofauna biodiversity, in contrast to morphological-based taxonomy. Here, we compare biodiversity assessments of a diverse meiofaunal community derived by applying multiple taxonomic methods based on comparative morphology, molecular phylogenetic analysis, DNA barcoding of individual specimens, and metabarcoding of environmental DNA. We show that biodiversity estimates are strongly biased across taxonomic methods and phyla. Such biases affect understanding of community structures and ecological interpretations. This study supports the urgency of improving aspects of environmental high-throughput sequencing and the value of taxonomists in correctly understanding biodiversity estimates. | Notes: | francesca-leasi@utc.edu Leasi, F (reprint author), Univ Tennessee, Dept Biol Geol & Environm Sci, 615 McCallie Ave, Chattanooga, TN 37403 USA.; Leasi, F (reprint author), Univ New Hampshire, Hubbard Ctr Genome Studies, Dept Mol Cellular & Biomed Sci, 35 Colovos Rd, Durham, NH 03824 USA. |
Keywords: | Diversity;Dna;Resolution;Alignment;Sample | Document URI: | http://hdl.handle.net/1942/29731 http://hdl.handle.net/1942/31404 |
e-ISSN: | 2399-3642 | DOI: | 10.1038/s42003-018-0249-6 | ISI #: | 000461126500236 | Rights: | The Author(s) 2018. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. | Category: | M | Type: | Journal Contribution |
Appears in Collections: | Research publications |
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s42003-018-0249-6.pdf | Published version | 254.21 kB | Adobe PDF | View/Open |
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