Literature DB >> 27004417

Protist metabarcoding and environmental biomonitoring: Time for change.

J Pawlowski1, F Lejzerowicz2, L Apotheloz-Perret-Gentil2, J Visco3, P Esling4.   

Abstract

High-throughput amplicon sequencing of environmental DNA and/or RNA proved to be a powerful tool to describe protist diversity. This new approach called also the metabarcoding has totally transformed our view of protist diversity, revealing a large number of novel lineages and expanding the range of protist phylogenetic diversity at almost every taxonomic level. However, until now the objectives of the vast majority of metabarcoding studies were purely academic. Practical applications of protist metabarcoding are surprisingly scarce, despite the fact that several groups of protists are commonly used as bioindicators of environmental impacts in freshwater or marine ecosystems. Here, we are reviewing studies that examine the ecological applications of metabarcoding for two groups of well-known protist bioindicators: diatoms and foraminifera. The results of these studies show that despite some biological and technical biases, molecular data quite faithfully reflect the morphology-based biotic indices and provide a similar assessment of ecosystem status. In view of these results, protist metabarcoding appears as a rapid and accurate tool for the evaluation of the quality of aquatic ecosystems. Hence, we plead for integration of protist metabarcoding in future biomonitoring projects as a complement of traditional methods and a source of new biosensors for environmental impact assessment.
Copyright © 2016 Elsevier GmbH. All rights reserved.

Entities:  

Keywords:  Bioindicators; Diatoms; Environmental DNA; Foraminifera; Metabarcoding; Microbial eukaryotes

Mesh:

Year:  2016        PMID: 27004417     DOI: 10.1016/j.ejop.2016.02.003

Source DB:  PubMed          Journal:  Eur J Protistol        ISSN: 0932-4739            Impact factor:   3.020


  15 in total

1.  Spatial and temporal dynamics of a freshwater eukaryotic plankton community revealed via 18S rRNA gene metabarcoding.

Authors:  A Banerji; M Bagley; M Elk; E Pilgrim; J Marinson; J Santo Domingo
Journal:  Hydrobiologia       Date:  2018       Impact factor: 2.694

2.  Metagenomics versus total RNA sequencing: most accurate data-processing tools, microbial identification accuracy and perspectives for ecological assessments.

Authors:  Christopher A Hempel; Natalie Wright; Julia Harvie; Jose S Hleap; Sarah J Adamowicz; Dirk Steinke
Journal:  Nucleic Acids Res       Date:  2022-08-18       Impact factor: 19.160

3.  Spatio-temporal monitoring of deep-sea communities using metabarcoding of sediment DNA and RNA.

Authors:  Magdalena Guardiola; Owen S Wangensteen; Pierre Taberlet; Eric Coissac; María Jesús Uriz; Xavier Turon
Journal:  PeerJ       Date:  2016-12-21       Impact factor: 2.984

4.  Metabarcoding monitoring analysis: the pros and cons of using co-extracted environmental DNA and RNA data to assess offshore oil production impacts on benthic communities.

Authors:  Olivier Laroche; Susanna A Wood; Louis A Tremblay; Gavin Lear; Joanne I Ellis; Xavier Pochon
Journal:  PeerJ       Date:  2017-05-17       Impact factor: 2.984

5.  Validation of COI metabarcoding primers for terrestrial arthropods.

Authors:  Vasco Elbrecht; Thomas W A Braukmann; Natalia V Ivanova; Sean W J Prosser; Mehrdad Hajibabaei; Michael Wright; Evgeny V Zakharov; Paul D N Hebert; Dirk Steinke
Journal:  PeerJ       Date:  2019-10-07       Impact factor: 2.984

6.  A global metabarcoding analysis expands molecular diversity of Platyhelminthes and reveals novel early-branching clades.

Authors:  Konstantina Mitsi; Alicia S Arroyo; Iñaki Ruiz-Trillo
Journal:  Biol Lett       Date:  2019-09-11       Impact factor: 3.703

7.  Assessing the Diversity and Distribution of Apicomplexans in Host and Free-Living Environments Using High-Throughput Amplicon Data and a Phylogenetically Informed Reference Framework.

Authors:  Javier Del Campo; Thierry J Heger; Raquel Rodríguez-Martínez; Alexandra Z Worden; Thomas A Richards; Ramon Massana; Patrick J Keeling
Journal:  Front Microbiol       Date:  2019-10-23       Impact factor: 5.640

8.  Dumpster diving for diatom plastid 16S rRNA genes.

Authors:  Krista L Bonfantine; Stacey M Trevathan-Tackett; Ty G Matthews; Ana Neckovic; Han Ming Gan
Journal:  PeerJ       Date:  2021-07-01       Impact factor: 2.984

9.  Structural Comparison of Diplonemid Communities around the Izu Peninsula, Japan.

Authors:  Akinori Yabuki; Masaru Kawato; Yuriko Nagano; Shinji Tsuchida; Takao Yoshida; Yoshihiro Fujiwara
Journal:  Microbes Environ       Date:  2021       Impact factor: 2.912

10.  Combining morpho-taxonomy and metabarcoding enhances the detection of non-indigenous marine pests in biofouling communities.

Authors:  Ulla von Ammon; Susanna A Wood; Olivier Laroche; Anastasija Zaiko; Leigh Tait; Shane Lavery; Graeme J Inglis; Xavier Pochon
Journal:  Sci Rep       Date:  2018-11-02       Impact factor: 4.379

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