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Author Correction: Biodiversity estimates and ecological interpretations of meiofaunal communities are biased by the taxonomic approach
- Source :
- Communications Biology, Communications Biology, Vol 1, Iss 1, Pp 1-1 (2018)
- Publication Year :
- 2018
- Publisher :
- Springer Science and Business Media LLC, 2018.
-
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.
- Subjects :
- 0106 biological sciences
QH301-705.5
business.industry
Statement (logic)
010604 marine biology & hydrobiology
Environmental resource management
Biodiversity
Medicine (miscellaneous)
15. Life on land
Research initiative
010603 evolutionary biology
01 natural sciences
GeneralLiterature_MISCELLANEOUS
General Biochemistry, Genetics and Molecular Biology
Data availability
Geography
Biology (General)
Author Correction
General Agricultural and Biological Sciences
business
Subjects
Details
- ISSN :
- 23993642
- Volume :
- 1
- Database :
- OpenAIRE
- Journal :
- Communications Biology
- Accession number :
- edsair.doi.dedup.....ec1a5d2519e35e13198056977fce04d2