Literature DB >> 29801222

The future of biotic indices in the ecogenomic era: Integrating (e)DNA metabarcoding in biological assessment of aquatic ecosystems.

Jan Pawlowski1, Mary Kelly-Quinn2, Florian Altermatt3, Laure Apothéloz-Perret-Gentil4, Pedro Beja5, Angela Boggero6, Angel Borja7, Agnès Bouchez8, Tristan Cordier4, Isabelle Domaizon8, Maria Joao Feio9, Ana Filipa Filipe5, Riccardo Fornaroli10, Wolfram Graf11, Jelger Herder12, Berry van der Hoorn13, J Iwan Jones14, Marketa Sagova-Mareckova15, Christian Moritz16, Jose Barquín17, Jeremy J Piggott18, Maurizio Pinna19, Frederic Rimet8, Buki Rinkevich20, Carla Sousa-Santos21, Valeria Specchia19, Rosa Trobajo22, Valentin Vasselon8, Simon Vitecek23, Jonas Zimmerman24, Alexander Weigand25, Florian Leese26, Maria Kahlert27.   

Abstract

The bioassessment of aquatic ecosystems is currently based on various biotic indices that use the occurrence and/or abundance of selected taxonomic groups to define ecological status. These conventional indices have some limitations, often related to difficulties in morphological identification of bioindicator taxa. Recent development of DNA barcoding and metabarcoding could potentially alleviate some of these limitations, by using DNA sequences instead of morphology to identify organisms and to characterize a given ecosystem. In this paper, we review the structure of conventional biotic indices, and we present the results of pilot metabarcoding studies using environmental DNA to infer biotic indices. We discuss the main advantages and pitfalls of metabarcoding approaches to assess parameters such as richness, abundance, taxonomic composition and species ecological values, to be used for calculation of biotic indices. We present some future developments to fully exploit the potential of metabarcoding data and improve the accuracy and precision of their analysis. We also propose some recommendations for the future integration of DNA metabarcoding to routine biomonitoring programs.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bioassessment; Biomonitoring; Environmental DNA; Freshwater; Marine; Metabarcording

Mesh:

Year:  2018        PMID: 29801222     DOI: 10.1016/j.scitotenv.2018.05.002

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  35 in total

1.  Bacteriome depiction and the trophic status of the largest Northern highland lake from Andes system: Lago de Tota, Boyacá, Colombia.

Authors:  Nicolás Forero-Pineda; Adriana Pedroza-Ramos; Johana Marin-Suarez; Nelson Aranguren-Riaño; Andrés Gómez-Palacio
Journal:  Arch Microbiol       Date:  2021-05-12       Impact factor: 2.552

2.  Accumulation curves of environmental DNA sequences predict coastal fish diversity in the coral triangle.

Authors:  Jean-Baptiste Juhel; Rizkie S Utama; Virginie Marques; Indra B Vimono; Hagi Yulia Sugeha; Laurent Pouyaud; Tony Dejean; David Mouillot; Régis Hocdé
Journal:  Proc Biol Sci       Date:  2020-07-08       Impact factor: 5.349

3.  Developing Indicators of Nutrient Pollution in Streams Using 16S rRNA Gene Metabarcoding of Periphyton-Associated Bacteria.

Authors:  Erik M Pilgrim; Nathan J Smucker; Huiyun Wu; John Martinson; Christopher T Nietch; Marirosa Molina; John A Darling; Brent R Johnson
Journal:  Water (Basel)       Date:  2022-07-30       Impact factor: 3.530

4.  Characterizing temporal variability in streams supports nutrient indicator development using diatom and bacterial DNA metabarcoding.

Authors:  Nathan J Smucker; Erik M Pilgrim; Huiyun Wu; Christopher T Nietch; John A Darling; Marirosa Molina; Brent R Johnson; Lester L Yuan
Journal:  Sci Total Environ       Date:  2022-04-01       Impact factor: 10.753

5.  met v1: expanding on old estimations of biodiversity from eDNA with a new database framework.

Authors:  David C Molik
Journal:  Database (Oxford)       Date:  2022-05-11       Impact factor: 4.462

6.  Environmental DNA allows upscaling spatial patterns of biodiversity in freshwater ecosystems.

Authors:  Luca Carraro; Elvira Mächler; Remo Wüthrich; Florian Altermatt
Journal:  Nat Commun       Date:  2020-07-17       Impact factor: 14.919

7.  Over 2.5 million COI sequences in GenBank and growing.

Authors:  Teresita M Porter; Mehrdad Hajibabaei
Journal:  PLoS One       Date:  2018-09-07       Impact factor: 3.240

8.  Building a transnational biodiversity geo-database of the protected areas in the Adriatic-Ionian Macro-Region: approaches and results from the IMPRECO Project.

Authors:  Francesco Zangaro; Gabriele Marini; Valeria Specchia; Matteo De Luca; Francesca Visintin; Giovanna Bullo; Jacopo Richard; Nataša Šalaja; Bia Rakar; Bojana Lipej; Jelena Kurtović Mrčelić; Gvido Piasevoli; Ante Žuljević; Nada Zaimi; Djana Bejko; Abdulla Diku; Aliki Karousou; Eleni Hatziyanni; Massimiliano Pinat; Maurizio Pinna
Journal:  Biodivers Data J       Date:  2021-05-27

9.  Environmental DNA metabarcoding primers for freshwater fish detection and quantification: In silico and in tanks.

Authors:  Lu Shu; Arne Ludwig; Zuogang Peng
Journal:  Ecol Evol       Date:  2021-05-16       Impact factor: 2.912

10.  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

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