Spatio-temporal monitoring of lake fish spawning activity using environmental DNA metabarcoding

Di Muri, C., Lawson Handley, L., Bean, C. W. , Benucci, M., Harper, L. R., James, B., Li, J., Winfield, I. J. and Hänfling, B. (2023) Spatio-temporal monitoring of lake fish spawning activity using environmental DNA metabarcoding. Environmental DNA, 5(5), pp. 849-860. (doi: 10.1002/edn3.343)

Abstract

Determining the timing and location of fish reproductive events is crucial for the implementation of correct management and conservation schemes. Conventional methods used to monitor these events are often unable to assess the spawning activity directly or can be invasive and therefore problematic. This is especially the case when threatened fish populations are the study subject, such as the Arctic charr (Salvelinus alpinus L.) populations in Windermere (Cumbria, UK). Arctic charr populations have been studied in this lake since the 1940s, and the locations and characteristics of spawning grounds have been described in detail using techniques such as hydroacoustics, as well as physical and visual surveys of the lake bottom. Here, in conjunction with established netting surveys, we added an environmental DNA (eDNA) metabarcoding approach to assess the spatial distribution of Arctic charr in the lake throughout the year to test whether this tool could allow us to identify spawning locations and activity. Sampling was carried out between October 2017 and July 2018 at three locations in the lake, covering putative and known spawning sites. eDNA metabarcoding provided accurate spatial and temporal characterization of Arctic charr spawning events. Peaks of Arctic charr relative read counts from eDNA metabarcoding were observed during the spawning season and at specific locations of both putative and known spawning sites. Net catches of mature Arctic charr individuals confirmed the association between the Arctic charr spawning activity and the peaks of eDNA metabarcoding relative read counts. This study demonstrates the ability of eDNA metabarcoding to effectively and efficiently characterize the spatial and temporal nature of fish spawning in lentic systems.

• Item Type: Articles
• Additional Information: Special Issue: Beyond Species Detection.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Bean, Professor Colin
• Authors: Di Muri, C., Lawson Handley, L., Bean, C. W., Benucci, M., Harper, L. R., James, B., Li, J., Winfield, I. J., and Hänfling, B.
• College/School: College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine
• Journal Name: Environmental DNA
• Publisher: Wiley
• ISSN: 2637-4943
• ISSN (Online): 2637-4943
• Published Online: 26 July 2022
• Copyright Holders: Copyright © 2022 The Authors
• First Published: First published in Environmental DNA 5(5):849-860
• Publisher Policy: Reproduced under a Creative Commons License