TY  - JOUR
AU  - Pont, Didier
AU  - Meulenbroek, Paul
AU  - Bammer, Vincenz
AU  - Dejean, Tony
AU  - Erős, Tibor
AU  - Jean, Pauline
AU  - Lenhardt, Mirjana
AU  - Nagel, Christoffer
AU  - Pekarik, Ladislav
AU  - Schabuss, Michael
AU  - Stoeckle, Bernhard C
AU  - Stoica, Elena
AU  - Zornig, Horst
AU  - Weigand, Alexander
AU  - Valentini, Alice
PY  - 2022
UR  - http://radar.ibiss.bg.ac.rs/handle/123456789/5163
AB  - Environmental DNA (eDNA) metabarcoding is an effective method for studying fish communities but allows only an estimation of relative species abundance (density/biomass). Here, we combine metabarcoding with an estimation of the total abundance of eDNA amplified by our universal marker (teleo) using a quantitative (q)PCR approach to infer the absolute abundance of fish species. We carried out a 2850-km eDNA survey within the Danube catchment using a spatial integrative sampling protocol coupled with traditional electrofishing for fish biomass and density estimation. Total fish eDNA concentrations and total fish abundance were highly correlated. The correlation between eDNA concentrations per taxon and absolute specific abundance was of comparable strength when all sites were pooled and remained significant when the sites were considered separately. Furthermore, a nonlinear mixed model showed that species richness was underestimated when the amount of teleo-DNA extracted from a sample was below a threshold of 0.65 × 106 copies of eDNA. This result, combined with the decrease in teleo-DNA concentration by several orders of magnitude with river size, highlights the need to increase sampling effort in large rivers. Our results provide a comprehensive description of longitudinal changes in fish communities and underline our combined metabarcoding/qPCR approach for biomonitoring and bioassessment surveys when a rough estimate of absolute species abundance is sufficient.
PB  - Hoboken: Wiley
T2  - Molecular Ecology Resources
T1  - Quantitative monitoring of diverse fish communities on a large scale combining eDNA metabarcoding and qPCR.
DO  - 10.1111/1755-0998.13715
ER  - 

@article{
author = "Pont, Didier and Meulenbroek, Paul and Bammer, Vincenz and Dejean, Tony and Erős, Tibor and Jean, Pauline and Lenhardt, Mirjana and Nagel, Christoffer and Pekarik, Ladislav and Schabuss, Michael and Stoeckle, Bernhard C and Stoica, Elena and Zornig, Horst and Weigand, Alexander and Valentini, Alice",
year = "2022",
abstract = "Environmental DNA (eDNA) metabarcoding is an effective method for studying fish communities but allows only an estimation of relative species abundance (density/biomass). Here, we combine metabarcoding with an estimation of the total abundance of eDNA amplified by our universal marker (teleo) using a quantitative (q)PCR approach to infer the absolute abundance of fish species. We carried out a 2850-km eDNA survey within the Danube catchment using a spatial integrative sampling protocol coupled with traditional electrofishing for fish biomass and density estimation. Total fish eDNA concentrations and total fish abundance were highly correlated. The correlation between eDNA concentrations per taxon and absolute specific abundance was of comparable strength when all sites were pooled and remained significant when the sites were considered separately. Furthermore, a nonlinear mixed model showed that species richness was underestimated when the amount of teleo-DNA extracted from a sample was below a threshold of 0.65 × 106 copies of eDNA. This result, combined with the decrease in teleo-DNA concentration by several orders of magnitude with river size, highlights the need to increase sampling effort in large rivers. Our results provide a comprehensive description of longitudinal changes in fish communities and underline our combined metabarcoding/qPCR approach for biomonitoring and bioassessment surveys when a rough estimate of absolute species abundance is sufficient.",
publisher = "Hoboken: Wiley",
journal = "Molecular Ecology Resources",
title = "Quantitative monitoring of diverse fish communities on a large scale combining eDNA metabarcoding and qPCR.",
doi = "10.1111/1755-0998.13715"
}

Pont, D., Meulenbroek, P., Bammer, V., Dejean, T., Erős, T., Jean, P., Lenhardt, M., Nagel, C., Pekarik, L., Schabuss, M., Stoeckle, B. C., Stoica, E., Zornig, H., Weigand, A.,& Valentini, A.. (2022). Quantitative monitoring of diverse fish communities on a large scale combining eDNA metabarcoding and qPCR.. in Molecular Ecology Resources
Hoboken: Wiley..
https://doi.org/10.1111/1755-0998.13715

Pont D, Meulenbroek P, Bammer V, Dejean T, Erős T, Jean P, Lenhardt M, Nagel C, Pekarik L, Schabuss M, Stoeckle BC, Stoica E, Zornig H, Weigand A, Valentini A. Quantitative monitoring of diverse fish communities on a large scale combining eDNA metabarcoding and qPCR.. in Molecular Ecology Resources. 2022;.
doi:10.1111/1755-0998.13715 .

Pont, Didier, Meulenbroek, Paul, Bammer, Vincenz, Dejean, Tony, Erős, Tibor, Jean, Pauline, Lenhardt, Mirjana, Nagel, Christoffer, Pekarik, Ladislav, Schabuss, Michael, Stoeckle, Bernhard C, Stoica, Elena, Zornig, Horst, Weigand, Alexander, Valentini, Alice, "Quantitative monitoring of diverse fish communities on a large scale combining eDNA metabarcoding and qPCR." in Molecular Ecology Resources (2022),
https://doi.org/10.1111/1755-0998.13715 . .