Biodiversity estimates and ecological interpretations of meiofaunal communities are biased by the taxonomic approach

小型底栖动物群落的生物多样性估计和生态解释受到分类学方法的影响

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作者:Francesca Leasi, Joseph L Sevigny, Eric M Laflamme, Tom Artois, Marco Curini-Galletti, Alberto de Jesus Navarrete, Maikon Di Domenico, Freya Goetz, Jeffrey A Hall, Rick Hochberg, Katharina M Jörger, Ulf Jondelius, M Antonio Todaro, Herman H Wirshing, Jon L Norenburg, W Kelley Thomas

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.

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