Literature DB >> 33078500

Environmental DNA effectively captures functional diversity of coastal fish communities.

Giorgio Aglieri1,2, Charles Baillie3, Stefano Mariani4, Carlo Cattano1,2,5, Antonio Calò1,6, Gabriele Turco1,2, Davide Spatafora1,2, Antonio Di Franco5,6, Manfredi Di Lorenzo7, Paolo Guidetti2,6,8, Marco Milazzo1,2.   

Abstract

Robust assessments of taxonomic and functional diversity are essential components of research programmes aimed at understanding current biodiversity patterns and forecasting trajectories of ecological changes. Yet, evaluating marine biodiversity along its dimensions is challenging and dependent on the power and accuracy of the available data collection methods. Here we combine three traditional survey methodologies (underwater visual census strip transects [UVCt], baited underwater videos [BUV] and small-scale fishery catches [SSFc]), and one novel molecular technique (environmental DNA metabarcoding [eDNA]-12S rRNA and cytochrome oxidase subunit 1 [COI]) to investigate their efficiency and complementarity in assessing fish diversity. We analysed 1,716 multimethod replicates at a basin scale to measure the taxonomic and functional diversity of Mediterranean fish assemblages. Taxonomic identities were investigated at species, genus and family levels. Functional identities were assessed using combinations of morphological, behavioural and trophic traits. We show that: (a) SSFc provided the higher taxonomic diversity estimates followed by eDNA, and then UVCt and BUV; (b) eDNA was the only method able to gather the whole spectrum of considered functional traits, showing the most functionally diversified and least redundant fish assemblages; and (c) the effectiveness of eDNA in describing functional structure reflected its lack of selectivity towards any considered functional trait. Our findings suggest that the reach of eDNA analysis stretches beyond taxon detection efficiency and provides new insights into the potential of metabarcoding in ecological studies.
© 2020 John Wiley & Sons Ltd.

Entities:  

Keywords:  biodiversity; eDNA; ecological trait; ecosystem functioning; marine fish; survey

Year:  2020        PMID: 33078500     DOI: 10.1111/mec.15661

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


  5 in total

1.  Comparing eDNA metabarcoding primers for assessing fish communities in a biodiverse estuary.

Authors:  Girish Kumar; Ashley M Reaume; Emily Farrell; Michelle R Gaither
Journal:  PLoS One       Date:  2022-06-17       Impact factor: 3.752

2.  eDNA metabarcoding as a promising conservation tool to monitor fish diversity in Beijing water systems compared with ground cages.

Authors:  Mei Shen; Nengwen Xiao; Ziyi Zhao; Ningning Guo; Zunlan Luo; Guang Sun; Junsheng Li
Journal:  Sci Rep       Date:  2022-06-30       Impact factor: 4.996

3.  Cross-ocean patterns and processes in fish biodiversity on coral reefs through the lens of eDNA metabarcoding.

Authors:  Laetitia Mathon; Virginie Marques; David Mouillot; Camille Albouy; Marco Andrello; Florian Baletaud; Giomar H Borrero-Pérez; Tony Dejean; Graham J Edgar; Jonathan Grondin; Pierre-Edouard Guerin; Régis Hocdé; Jean-Baptiste Juhel; Eva Maire; Gael Mariani; Matthew McLean; Andrea Polanco F; Laurent Pouyaud; Rick D Stuart-Smith; Hagi Yulia Sugeha; Alice Valentini; Laurent Vigliola; Indra B Vimono; Loïc Pellissier; Stéphanie Manel
Journal:  Proc Biol Sci       Date:  2022-04-20       Impact factor: 5.530

4.  Meta-analysis shows both congruence and complementarity of DNA and eDNA metabarcoding to traditional methods for biological community assessment.

Authors:  François Keck; Rosetta C Blackman; Raphael Bossart; Jeanine Brantschen; Marjorie Couton; Samuel Hürlemann; Dominik Kirschner; Nadine Locher; Heng Zhang; Florian Altermatt
Journal:  Mol Ecol       Date:  2022-02-02       Impact factor: 6.622

5.  Assessing a megadiverse but poorly known community of fishes in a tropical mangrove estuary through environmental DNA (eDNA) metabarcoding.

Authors:  Danial Hariz Zainal Abidin; Siti Azizah Mohd Nor; Sébastien Lavoué; Masazurah A Rahim; Noor Adelyna Mohammed Akib
Journal:  Sci Rep       Date:  2022-09-29       Impact factor: 4.996

  5 in total

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