A comparison of visual and molecular methods for inferring biological communities in aquaculture enriched sediments - Impact assessment and cost-benefit analysis.

Autor: Coutts A; Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia. Electronic address: alexander.coutts@utas.edu.au., Zimmermann D; Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia., Davey A; Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia., Bowman JP; Tasmanian Institute for Agriculture, University of Tasmania, Hobart, Tasmania, Australia., Ross DJ; Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia., Strain EMA; Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia.
Jazyk: angličtina
Zdroj: Marine pollution bulletin [Mar Pollut Bull] 2024 Dec; Vol. 209 (Pt A), pp. 117172. Date of Electronic Publication: 2024 Oct 24.
DOI: 10.1016/j.marpolbul.2024.117172
Abstrakt: Nutrients introduced to the environment by finfish aquaculture pose environmental risks, which can be mitigated by robust environmental monitoring. Biological communities in soft sediments are good indicators of aquaculture derived environmental changes. Traditionally, monitoring programs have visually surveyed macrofauna communities. However, DNA metabarcoding is a potentially more efficient alternative. We compared alpha diversity, multivariate dispersion and taxonomic composition of macrofauna communities with metabarcoding derived bacterial and eukaryote communities along an organic enrichment gradient at a salmon farm in Tasmania, Australia. Additionally, we conducted a cost-benefit analysis comparing the approaches. All methods identified indicator taxa that changed in abundance over the enrichment gradient. Macrofauna analysis was the most sensitive method for detecting changes in alpha diversity, while metabarcoding was most sensitive for multivariate dispersion. Taxonomic composition of animal communities derived from the two methods differed drastically. Metabarcoding was cheaper than macrofauna for ≥93 samples and quicker for ≥14 samples.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 University of Tasmania. Published by Elsevier Ltd.. All rights reserved.)
Databáze: MEDLINE
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