Literature DB >> 22590728

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

Donald J Baird1, Mehrdad Hajibabaei.   

Abstract

Biological monitoring has failed to develop from simple binary assessment outcomes of the impacted/unimpacted type, towards more diagnostic frameworks, despite significant scientific effort over the past fifty years. It is our assertion that this is largely because of the limited information content of biological samples processed by traditional morphology-based taxonomy, which is a slow, imprecise process, focused on restricted groups of organisms. We envision a new paradigm in ecosystem assessment, which we refer to as ‘Biomonitoring 2.0’. This new schema employs DNA-based identification of taxa, coupled with high-throughput DNA sequencing on next-generation sequencing platforms. We discuss the transformational nature of DNA-based approaches in biodiversity discovery and ecosystem assessment and outline a path forward for their future widespread application.

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Year:  2012        PMID: 22590728     DOI: 10.1111/j.1365-294x.2012.05519.x

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


  57 in total

1.  Simultaneous assessment of the macrobiome and microbiome in a bulk sample of tropical arthropods through DNA metasystematics.

Authors:  Joel Gibson; Shadi Shokralla; Teresita M Porter; Ian King; Steven van Konynenburg; Daniel H Janzen; Winnie Hallwachs; Mehrdad Hajibabaei
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-07       Impact factor: 11.205

Review 2.  Reintroducing Environmental Change Drivers in Biodiversity-Ecosystem Functioning Research.

Authors:  Frederik De Laender; Jason R Rohr; Roman Ashauer; Donald J Baird; Uta Berger; Nico Eisenhauer; Volker Grimm; Udo Hommen; Lorraine Maltby; Carlos J Meliàn; Francesco Pomati; Ivo Roessink; Viktoriia Radchuk; Paul J Van den Brink
Journal:  Trends Ecol Evol       Date:  2016-10-11       Impact factor: 17.712

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

Authors:  Estelle Lefrançois; Laure Apothéloz-Perret-Gentil; Philippe Blancher; Samuel Botreau; Cécile Chardon; Laura Crepin; Tristan Cordier; Arielle Cordonier; Isabelle Domaizon; Benoit J D Ferrari; Julie Guéguen; Jean-Christophe Hustache; Louis Jacas; Stephan Jacquet; Sonia Lacroix; Anne-Laurence Mazenq; Alina Pawlowska; Pascal Perney; Jan Pawlowski; Frédéric Rimet; Jean-François Rubin; Dominique Trevisan; Régis Vivien; Agnès Bouchez
Journal:  Environ Sci Pollut Res Int       Date:  2018-05-07       Impact factor: 4.223

4.  Evaluating the performance of DNA metabarcoding for assessment of zooplankton communities in Western Lake Superior using multiple markers.

Authors:  Christy Meredith; Joel Hoffman; Anett Trebitz; Erik Pilgrim; Sarah Okum; John Martinson; Ellen S Cameron
Journal:  Metabarcoding Metagenom       Date:  2021-07-24

5.  Comparison of traditional and DNA metabarcoding samples for monitoring tropical soil arthropods (Formicidae, Collembola and Isoptera).

Authors:  Yves Basset; Mehrdad Hajibabaei; Michael T G Wright; Anakena M Castillo; David A Donoso; Simon T Segar; Daniel Souto-Vilarós; Dina Y Soliman; Tomas Roslin; M Alex Smith; Greg P A Lamarre; Luis F De León; Thibaud Decaëns; José G Palacios-Vargas; Gabriela Castaño-Meneses; Rudolf H Scheffrahn; Marleny Rivera; Filonila Perez; Ricardo Bobadilla; Yacksecari Lopez; José Alejandro Ramirez Silva; Maira Montejo Cruz; Angela Arango Galván; Héctor Barrios
Journal:  Sci Rep       Date:  2022-06-24       Impact factor: 4.996

6.  From benchtop to desktop: important considerations when designing amplicon sequencing workflows.

Authors:  Dáithí C Murray; Megan L Coghlan; Michael Bunce
Journal:  PLoS One       Date:  2015-04-22       Impact factor: 3.240

7.  Environmental metabarcoding reveals heterogeneous drivers of microbial eukaryote diversity in contrasting estuarine ecosystems.

Authors:  Delphine Lallias; Jan G Hiddink; Vera G Fonseca; John M Gaspar; Way Sung; Simon P Neill; Natalie Barnes; Tim Ferrero; Neil Hall; P John D Lambshead; Margaret Packer; W Kelley Thomas; Simon Creer
Journal:  ISME J       Date:  2014-11-25       Impact factor: 10.302

8.  Grab what you can-an evaluation of spatial replication to decrease heterogeneity in sediment eDNA metabarcoding.

Authors:  Jon T Hestetun; Anders Lanzén; Thomas G Dahlgren
Journal:  PeerJ       Date:  2021-06-21       Impact factor: 2.984

9.  Assessing biodiversity of a freshwater benthic macroinvertebrate community through non-destructive environmental barcoding of DNA from preservative ethanol.

Authors:  Mehrdad Hajibabaei; Jennifer L Spall; Shadi Shokralla; Steven van Konynenburg
Journal:  BMC Ecol       Date:  2012-12-23       Impact factor: 2.964

10.  Ultra-deep sequencing enables high-fidelity recovery of biodiversity for bulk arthropod samples without PCR amplification.

Authors:  Xin Zhou; Yiyuan Li; Shanlin Liu; Qing Yang; Xu Su; Lili Zhou; Min Tang; Ribei Fu; Jiguang Li; Quanfei Huang
Journal:  Gigascience       Date:  2013-03-27       Impact factor: 6.524

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