Literature DB >> 29732510

Development and implementation of eco-genomic tools for aquatic ecosystem biomonitoring: the SYNAQUA French-Swiss program.

Estelle Lefrançois1,2, Laure Apothéloz-Perret-Gentil3, Philippe Blancher4, Samuel Botreau5, Cécile Chardon6, Laura Crepin6, Tristan Cordier3, Arielle Cordonier7, Isabelle Domaizon6, Benoit J D Ferrari8, Julie Guéguen6, Jean-Christophe Hustache6, Louis Jacas6, Stephan Jacquet6, Sonia Lacroix6, Anne-Laurence Mazenq5, Alina Pawlowska9, Pascal Perney6, Jan Pawlowski3, Frédéric Rimet6, Jean-François Rubin10, Dominique Trevisan6, Régis Vivien8, Agnès Bouchez6.   

Abstract

The effectiveness of environmental protection measures is based on the early identification and diagnosis of anthropogenic pressures. Similarly, restoration actions require precise monitoring of changes in the ecological quality of ecosystems, in order to highlight their effectiveness. Monitoring the ecological quality relies on bioindicators, which are organisms revealing the pressures exerted on the environment through the composition of their communities. Their implementation, based on the morphological identification of species, is expensive because it requires time and experts in taxonomy. Recent genomic tools should provide access to reliable and high-throughput environmental monitoring by directly inferring the composition of bioindicators' communities from their DNA (metabarcoding). The French-Swiss program SYNAQUA (INTERREG France-Switzerland 2017-2019) proposes to use and validate the tools of environmental genomic for biomonitoring and aims ultimately at their implementation in the regulatory bio-surveillance. SYNAQUA will test the metabarcoding approach focusing on two bioindicators, diatoms, and aquatic oligochaetes, which are used in freshwater biomonitoring in France and Switzerland. To go towards the renewal of current biomonitoring practices, SYNAQUA will (1) bring together different actors: scientists, environmental managers, consulting firms, and biotechnological companies, (2) apply this approach on a large scale to demonstrate its relevance, (3) propose robust and reliable tools, and (4) raise public awareness and train the various actors likely to use these new tools. Biomonitoring approaches based on such environmental genomic tools should address the European need for reliable, higher-throughput monitoring to improve the protection of aquatic environments under multiple pressures, guide their restoration, and follow their evolution.

Keywords:  Aquatic oligochaetes; Bioindication; Diatoms; Metabarcoding; Water quality assessment

Mesh:

Substances:

Year:  2018        PMID: 29732510     DOI: 10.1007/s11356-018-2172-2

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  12 in total

1.  Second-generation sequencing derived insights into the temporal biodiversity dynamics of freshwater protists.

Authors:  Simon Creer
Journal:  Mol Ecol       Date:  2010-07       Impact factor: 6.185

2.  First evidence of the existence of semi-cryptic species and of a phylogeographic structure in the Gomphonema parvulum (Kützing) Kützing complex (Bacillariophyta).

Authors:  Lenaïg Kermarrec; Agnès Bouchez; Frédéric Rimet; Jean-François Humbert
Journal:  Protist       Date:  2013-08-28

3.  Biomonitoring 2.0: a new paradigm in ecosystem assessment made possible by next-generation DNA sequencing.

Authors:  Donald J Baird; Mehrdad Hajibabaei
Journal:  Mol Ecol       Date:  2012-04       Impact factor: 6.185

4.  Taxonomy-free molecular diatom index for high-throughput eDNA biomonitoring.

Authors:  Laure Apothéloz-Perret-Gentil; Arielle Cordonier; François Straub; Jennifer Iseli; Philippe Esling; Jan Pawlowski
Journal:  Mol Ecol Resour       Date:  2017-04-13       Impact factor: 7.090

5.  Predicting the Ecological Quality Status of Marine Environments from eDNA Metabarcoding Data Using Supervised Machine Learning.

Authors:  Tristan Cordier; Philippe Esling; Franck Lejzerowicz; Joana Visco; Amine Ouadahi; Catarina Martins; Tomas Cedhagen; Jan Pawlowski
Journal:  Environ Sci Technol       Date:  2017-07-25       Impact factor: 9.028

6.  Next-generation sequencing to inventory taxonomic diversity in eukaryotic communities: a test for freshwater diatoms.

Authors:  L Kermarrec; A Franc; F Rimet; P Chaumeil; J F Humbert; A Bouchez
Journal:  Mol Ecol Resour       Date:  2013-04-17       Impact factor: 7.090

7.  Global threats to human water security and river biodiversity.

Authors:  C J Vörösmarty; P B McIntyre; M O Gessner; D Dudgeon; A Prusevich; P Green; S Glidden; S E Bunn; C A Sullivan; C Reidy Liermann; P M Davies
Journal:  Nature       Date:  2010-09-30       Impact factor: 49.962

8.  Molecular barcoding of aquatic oligochaetes: implications for biomonitoring.

Authors:  Régis Vivien; Sofia Wyler; Michel Lafont; Jan Pawlowski
Journal:  PLoS One       Date:  2015-04-09       Impact factor: 3.240

9.  R-Syst::diatom: an open-access and curated barcode database for diatoms and freshwater monitoring.

Authors:  Frédéric Rimet; Philippe Chaumeil; François Keck; Lenaïg Kermarrec; Valentin Vasselon; Maria Kahlert; Alain Franc; Agnès Bouchez
Journal:  Database (Oxford)       Date:  2016-03-17       Impact factor: 3.451

10.  Cytochrome c oxidase barcodes for aquatic oligochaete identification: development of a Swiss reference database.

Authors:  Régis Vivien; Maria Holzmann; Inge Werner; Jan Pawlowski; Michel Lafont; Benoit J D Ferrari
Journal:  PeerJ       Date:  2017-12-06       Impact factor: 2.984

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  2 in total

1.  Diat.barcode, an open-access curated barcode library for diatoms.

Authors:  Frédéric Rimet; Evgenuy Gusev; Maria Kahlert; Martyn G Kelly; Maxim Kulikovskiy; Yevhen Maltsev; David G Mann; Martin Pfannkuchen; Rosa Trobajo; Valentin Vasselon; Jonas Zimmermann; Agnès Bouchez
Journal:  Sci Rep       Date:  2019-10-22       Impact factor: 4.379

2.  Freshwater diatom biomonitoring through benthic kick-net metabarcoding.

Authors:  Victoria Carley Maitland; Chloe Victoria Robinson; Teresita M Porter; Mehrdad Hajibabaei
Journal:  PLoS One       Date:  2020-11-18       Impact factor: 3.240

  2 in total

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