Literature DB >> 32779312

Biases in bulk: DNA metabarcoding of marine communities and the methodology involved.

Luna M van der Loos1, Reindert Nijland1.   

Abstract

With the growing anthropogenic pressure on marine ecosystems, the need for efficient monitoring of biodiversity grows stronger. DNA metabarcoding of bulk samples is increasingly being implemented in ecosystem assessments and is more cost-efficient and less time-consuming than monitoring based on morphology. However, before raw sequences are obtained from bulk samples, a profound number of methodological choices must be made. Here, we critically review the recent methods used for metabarcoding of marine bulk samples (including benthic, plankton and diet samples) and indicate how potential biases can be introduced throughout sampling, preprocessing, DNA extraction, marker and primer selection, PCR amplification and sequencing. From a total of 64 studies evaluated, our recommendations for best practices include to (a) consider DESS as a fixative instead of ethanol, (b) use the DNeasy PowerSoil kit for any samples containing traces of sediment, (c) not limit the marker selection to COI only, but preferably include multiple markers for higher taxonomic resolution, (d) avoid touchdown PCR profiles, (e) use a fixed annealing temperature for each primer pair when comparing across studies or institutes, (f) use a minimum of three PCR replicates, and (g) include both negative and positive controls. Although the implementation of DNA metabarcoding still faces several technical complexities, we foresee wide-ranging advances in the near future, including improved bioinformatics for taxonomic assignment, sequencing of longer fragments and the use of whole-genome information. Despite the bulk of biases involved in metabarcoding of bulk samples, if appropriate controls are included along the data generation process, it is clear that DNA metabarcoding provides a valuable tool in ecosystem assessments.
© 2020 The Authors. Molecular Ecology published by John Wiley & Sons Ltd.

Entities:  

Keywords:  DNA metabarcoding; biodiversity; marine monitoring; technical biases

Year:  2020        PMID: 32779312     DOI: 10.1111/mec.15592

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  6 in total

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Journal:  Animals (Basel)       Date:  2022-04-07       Impact factor: 3.231

2.  To denoise or to cluster, that is not the question: optimizing pipelines for COI metabarcoding and metaphylogeography.

Authors:  Adrià Antich; Creu Palacin; Owen S Wangensteen; Xavier Turon
Journal:  BMC Bioinformatics       Date:  2021-04-05       Impact factor: 3.169

3.  eDNA metabarcoding of small plankton samples to detect fish larvae and their preys from Atlantic and Pacific waters.

Authors:  Eva Garcia-Vazquez; Oriane Georges; Sara Fernandez; Alba Ardura
Journal:  Sci Rep       Date:  2021-03-31       Impact factor: 4.379

4.  Phytoplankton settling quality has a subtle but significant effect on sediment microeukaryotic and bacterial communities.

Authors:  Séréna Albert; Per Hedberg; Nisha H Motwani; Sara Sjöling; Monika Winder; Francisco J A Nascimento
Journal:  Sci Rep       Date:  2021-12-15       Impact factor: 4.379

5.  Using metatranscriptomics to estimate the diversity and composition of zooplankton communities.

Authors:  Mark Louie D Lopez; Ya-Ying Lin; Mitsuhide Sato; Chih-Hao Hsieh; Fuh-Kwo Shiah; Ryuji J Machida
Journal:  Mol Ecol Resour       Date:  2021-10-03       Impact factor: 8.678

6.  Sensitive and accurate DNA metabarcoding of parasitic helminth mock communities using the mitochondrial rRNA genes.

Authors:  Abigail Hui En Chan; Naowarat Saralamba; Sompob Saralamba; Jiraporn Ruangsittichai; Kittipong Chaisiri; Yanin Limpanont; Vachirapong Charoennitiwat; Urusa Thaenkham
Journal:  Sci Rep       Date:  2022-06-15       Impact factor: 4.996

  6 in total

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