Chapter Advancing and Integrating 'Biomonitoring 2.0' with New Molecular Tools for Marine Biodivesity and Ecosystem Assessments

• Main Author: Cheong Aden Ip, Yin (auth)
• Other Authors: Jin Marc Chang, Jia (auth), Huang, Danwei (auth)
• Format: Electronic Book Chapter
• Language: English
• Published: Boca Raton, Abingdon Taylor & Francis 2023
• Subjects: Ecological science, the Biosphere; Evolution; Biology, life sciences; Barcoding; Bioinformatics; Environmental DNA Metabarcoding; Environmental RNA
• Online Access: DOAB: download the publication; DOAB: description of the publication

Global declines in biodiversity have become increasingly severe. Traditional monitoring approaches for assessing marine species distributions and abundances are time consuming, costly, and manpower intensive. Fortunately, rapid progress of sequencing technologies from first-generation to high-throughput sequencing have resulted in improvements in experimental techniques. These advances have accelerated rates of species discovery and identification, enabling community-level biomonitoring - the 'Biomonitoring 2.0' framework. Simultaneous multispecies identifications in mixed-sample pools are now mainstream with DNA metabarcoding, upscaling monitoring from the individual specimen to the ecosystem scale. In this review, we examine the progress of DNA metabarcoding over the last decade in the characterisation of marine macrobiota to microbial communities. By melding molecular techniques and more traditional taxonomic tools, this integrative Biomonitoring 2.0 approach is tailored to improve the overall effectiveness of biomonitoring. As such, we here assess its accuracy, expertise requirement, general applicability, time, cost-effectiveness, and throughput for biomonitoring. We highlight various methodological challenges that must be considered during implementation, including completeness of reference databases, representativeness of sequencing read counts for quantitative estimates, and supplementation with environmental RNA for discerning live signals from legacy DNA. Finally, we conclude with an outlook of the enhanced Biomonitoring 2.0 framework for mass adoption by ecologists and managers, as well as the prospects of emerging rapid detection technologies for ecosystem surveillance.