AI Article Synopsis

  • The study focuses on the growing field of metabarcoding using DNA from whole organism community samples (wocDNA) to analyze diverse metazoan communities across various environments.
  • It highlights the significant developments in sampling and laboratory protocols but points out the lack of consistency in bioinformatic methods being used, reviewing over 600 papers and identifying 111 that utilized COI metabarcoding of wocDNA.
  • The authors found high variability in methodologies, limited adaptation of bioinformatic procedures, and underreporting of details, and they suggest recommendations to improve the comparability and effectiveness of these bioinformatic methods for biodiversity research.

Article Abstract

Metabarcoding of DNA extracted from community samples of whole organisms (whole organism community DNA, wocDNA) is increasingly being applied to terrestrial, marine and freshwater metazoan communities to provide rapid, accurate and high resolution data for novel molecular ecology research. The growth of this field has been accompanied by considerable development that builds on microbial metabarcoding methods to develop appropriate and efficient sampling and laboratory protocols for whole organism metazoan communities. However, considerably less attention has focused on ensuring bioinformatic methods are adapted and applied comprehensively in wocDNA metabarcoding. In this study we examined over 600 papers and identified 111 studies that performed COI metabarcoding of wocDNA. We then systematically reviewed the bioinformatic methods employed by these papers to identify the state-of-the-art. Our results show that the increasing use of wocDNA COI metabarcoding for metazoan diversity is characterised by a clear absence of bioinformatic harmonisation, and the temporal trends show little change in this situation. The reviewed literature showed (i) high heterogeneity across pipelines, tasks and tools used, (ii) limited or no adaptation of bioinformatic procedures to the nature of the COI fragment, and (iii) a worrying underreporting of tasks, software and parameters. Based upon these findings we propose a set of recommendations that we think the metabarcoding community should consider to ensure that bioinformatic methods are appropriate, comprehensive and comparable. We believe that adhering to these recommendations will improve the long-term integrative potential of wocDNA COI metabarcoding for biodiversity science.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9292290PMC
http://dx.doi.org/10.1111/1755-0998.13502DOI Listing

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