scholarly journals Testing the performance of environmental DNA metabarcoding for surveying highly diverse tropical fish communities: A case study from Lake Tanganyika

2019 ◽  
Vol 2 (1) ◽  
pp. 24-41 ◽  
Author(s):  
Christopher J. Doble ◽  
Helen Hipperson ◽  
Walter Salzburger ◽  
Gavin J. Horsburgh ◽  
Chacha Mwita ◽  
...  
Keyword(s):  
Lake Tanganyika ◽  
Fish Communities ◽  
Environmental Dna ◽  
Tropical Fish ◽  
Dna Metabarcoding

scholarly journals Environmental DNA metabarcoding as an effective and rapid tool for fish monitoring in canals:

2018 ◽  
Author(s):  
Allan D McDevitt ◽  
Naiara Guimaraes Sales ◽  
Samuel S Browett ◽  
Abbie Sparnenn ◽  
Stefano Mariani ◽  
...  
Keyword(s):  
Fish Assemblages ◽  
Fish Communities ◽  
Environmental Dna ◽  
Cost Effective ◽  
Aquatic Habitats ◽  
Dna Metabarcoding ◽  
Canal Systems ◽  
Rapid Tool ◽  
Fish Monitoring

Environmental DNA (eDNA) metabarcoding has revolutionized biomonitoring of aquatic habitats. Man-made canal systems are among the least-studied environments in terms of biodiversity in Britain. Here we focus on a case study along an English canal comparing eDNA metabarcoding with two types of electrofishing techniques (wade-and-reach and boom-boat). In addition to corroborating data obtained by electrofishing, eDNA provided a wider snapshot of fish assemblages. Given the semi-lotic nature of canals, we encourage the use of eDNA as a fast and cost-effective tool to detect and monitor whole fish communities.

scholarly journals Environmental DNA metabarcoding uncovers environmental correlates of fish communities in spatially heterogeneous freshwater habitats

2021 ◽  
Vol 126 ◽  
pp. 107698
Author(s):  
Petr Blabolil ◽  
Lynsey R. Harper ◽  
Štěpánka Říčanová ◽  
Graham Sellers ◽  
Cristina Di Muri ◽  
...  
Keyword(s):  
Fish Communities ◽  
Environmental Dna ◽  
Environmental Correlates ◽  
Dna Metabarcoding ◽  
Freshwater Habitats

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
Keyword(s):  
Freshwater Fish ◽  
Fish Communities ◽  
Environmental Dna ◽  
Large Rivers ◽  
Dna Metabarcoding

Estimation of biodiversity metrics by environmental DNA metabarcoding compared with visual and capture surveys of river fish communities

2021 ◽  
Author(s):  
Hideyuki Doi ◽  
Ryutei Inui ◽  
Shunsuke Matsuoka ◽  
Yoshihisa Akamatsu ◽  
Masuji Goto ◽  
...  
Keyword(s):  
Fish Communities ◽  
Environmental Dna ◽  
Dna Metabarcoding ◽  
River Fish

scholarly journals Proper environmental DNA metabarcoding data transformation reveals temporal stability of fish communities in a dendritic river system

2021 ◽  
Author(s):  
Martin Laporte ◽  
Emilie Reny‐Nolin ◽  
Victoria Chouinard ◽  
Cécilia Hernandez ◽  
Eric Normandeau ◽  
...  
Keyword(s):  
Temporal Stability ◽  
Fish Communities ◽  
Environmental Dna ◽  
River System ◽  
Data Transformation ◽  
Dna Metabarcoding

scholarly journals Monitoring fish communities through environmental DNA metabarcoding in the fish pass system of the second largest hydropower plant in the world

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Giorgi Dal Pont ◽  
Camila Duarte Ritter ◽  
Andre Olivotto Agostinis ◽  
Paula Valeska Stica ◽  
Aline Horodesky ◽  
...  
Keyword(s):  
Fish Communities ◽  
Environmental Dna ◽  
Hydropower Plant ◽  
Southeastern Brazil ◽  
Fish Diversity ◽  
Pass System ◽  
Fish Pass ◽  
Dna Metabarcoding ◽  
The World ◽  
The Impact

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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