Monitoring freshwater fish communities in large rivers using environmental DNA metabarcoding and a long‐term electrofishing survey

2020 ◽  
Vol 97 (2) ◽  
pp. 444-452 ◽  
Author(s):  
Aurélie Goutte ◽  
Noëlie Molbert ◽  
Sabrina Guérin ◽  
Robin Richoux ◽  
Vincent Rocher
2016 ◽  
Vol 25 (13) ◽  
pp. 3101-3119 ◽  
Author(s):  
Bernd Hänfling ◽  
Lori Lawson Handley ◽  
Daniel S. Read ◽  
Christoph Hahn ◽  
Jianlong Li ◽  
...  

2021 ◽  
Vol 126 ◽  
pp. 107698
Author(s):  
Petr Blabolil ◽  
Lynsey R. Harper ◽  
Štěpánka Říčanová ◽  
Graham Sellers ◽  
Cristina Di Muri ◽  
...  

2021 ◽  
Vol 4 ◽  
Author(s):  
Tiina Laamanen ◽  
Veera Norros ◽  
Sanna Suikkanen ◽  
Mikko Tolkkinen ◽  
Kristiina Vuorio ◽  
...  

Environmental DNA (eDNA) and other molecular based approaches are revolutionizing the field of biomonitoring. These approaches undergo rapid modifications, and it is crucial to develop the best practices by sharing the newest information and knowledge. In our ongoing project we: assess the state-of-the-art of eDNA methods at Finnish Environment Institute SYKE; identify concrete next steps towards the long-term aim of implementing eDNA methods into environmental and biomonitoring; promote information exchange on eDNA methods and advance future research efforts both within SYKE and with our national and international partners. assess the state-of-the-art of eDNA methods at Finnish Environment Institute SYKE; identify concrete next steps towards the long-term aim of implementing eDNA methods into environmental and biomonitoring; promote information exchange on eDNA methods and advance future research efforts both within SYKE and with our national and international partners. Scientific background Well-functioning and intact natural ecosystems are essential for human well-being, provide a variety of ecosystem services and contain a high diversity of organisms. However, human activities such as eutrophication, pollution, land-use or invasive species, are threatening the state and functioning of ecosystems from local to global scale (e.g. Benateau et al. 2019; Reid et al. 2018; Vörösmarty et al. 2010). New molecular techniques in the field and in the laboratory have enabled sampling and identification of much of terrestrial, marine and freshwater biodiversity. These include environmental DNA (eDNA, e.g. Valentini et al. 2016) and bulk-sample DNA metabarcoding approaches (e.g. Elbrecht et al. 2017) and targeted RNA-based methods (e.g. Mäki and Tiirola 2018). The eDNA technique uses DNA that is released from organisms into their environment, from which a signal of organisms’ presence in the system can be obtained. For example, in aquatic ecosystems, eDNA is typically extracted from sediment or filtered water samples (e.g. Deiner et al. 2016), and this approach is distinguished from bulk DNA metabarcoding, where organisms are directly identified from e.g. complete biological monitoring samples (e.g. Elbrecht et al. 2017). Despite the demonstrated potential of environmental and bulk-sample DNA metabarcoding approaches in recent years, there are still significant bottlenecks to their routine use that need to be addressed (e.g. Pawlowski et al. 2020). Methods and implementati on The project is divided into three work packages: WP1 Gathering existing knowledge, identifying knowledge gaps and proposing best practices, WP2 Roadmap to implementation and WP3 eDNA monitoring pilot. Please see more details in the Fig. 1


2019 ◽  
Vol 2 (1) ◽  
pp. 24-41 ◽  
Author(s):  
Christopher J. Doble ◽  
Helen Hipperson ◽  
Walter Salzburger ◽  
Gavin J. Horsburgh ◽  
Chacha Mwita ◽  
...  

2021 ◽  
Author(s):  
Hideyuki Doi ◽  
Ryutei Inui ◽  
Shunsuke Matsuoka ◽  
Yoshihisa Akamatsu ◽  
Masuji Goto ◽  
...  

2021 ◽  
Author(s):  
Martin Laporte ◽  
Emilie Reny‐Nolin ◽  
Victoria Chouinard ◽  
Cécilia Hernandez ◽  
Eric Normandeau ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Giorgi Dal Pont ◽  
Camila Duarte Ritter ◽  
Andre Olivotto Agostinis ◽  
Paula Valeska Stica ◽  
Aline Horodesky ◽  
...  

AbstractThe Itaipu Hydroelectric Power Plant is the second largest in the world in power generation. The artificial barrier created by its dam imposes an obstacle for fish migration. Thus, in 2002, a fish pass system, named Piracema Channel, was built to allow fish to access areas upstream of the reservoir. We tested the potential of environmental DNA metabarcoding to monitor the impact of both the dam and associated fish pass system in the Paraná River fish communities and to compare it with traditional monitoring methods. Using a fragment of the 12S gene, we characterized richness and community composition based on amplicon sequence variants, operational taxonomic units, and zero-radius OTUs. We combined GenBank and in-house data for taxonomic assignment. We found that different bioinformatics approaches showed similar results. Also, we found a decrease in fish diversity from 2019 to 2020 probably due to the recent extreme drought experienced in southeastern Brazil. The highest alpha diversity was recorded in the mouth of the fish pass system, located in a protected valley with the highest environmental heterogeneity. Despite the clear indication that the reference databases need to be continuously improved, our results demonstrate the analytical efficiency of the metabarcoding to monitor fish species.


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