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Estimating species distribution and abundance in river networks using environmental DNA

All organisms leave traces of DNA in their environment. This environmental DNA (eDNA) is often used to track occurrence patterns of target species. Applications are especially promising in rivers, where eDNA can integrate information about populations upstream. The dispersion of eDNA in rivers is mo...

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Autores principales: Carraro, Luca, Hartikainen, Hanna, Jokela, Jukka, Bertuzzo, Enrico, Rinaldo, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6243290/
https://www.ncbi.nlm.nih.gov/pubmed/30373831
http://dx.doi.org/10.1073/pnas.1813843115
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author Carraro, Luca
Hartikainen, Hanna
Jokela, Jukka
Bertuzzo, Enrico
Rinaldo, Andrea
author_facet Carraro, Luca
Hartikainen, Hanna
Jokela, Jukka
Bertuzzo, Enrico
Rinaldo, Andrea
author_sort Carraro, Luca
collection PubMed
description All organisms leave traces of DNA in their environment. This environmental DNA (eDNA) is often used to track occurrence patterns of target species. Applications are especially promising in rivers, where eDNA can integrate information about populations upstream. The dispersion of eDNA in rivers is modulated by complex processes of transport and decay through the dendritic river network, and we currently lack a method to extract quantitative information about the location and density of populations contributing to the eDNA signal. Here, we present a general framework to reconstruct the upstream distribution and abundance of a target species across a river network, based on observed eDNA concentrations and hydro-geomorphological features of the network. The model captures well the catchment-wide spatial biomass distribution of two target species: a sessile invertebrate (the bryozoan Fredericella sultana) and its parasite (the myxozoan Tetracapsuloides bryosalmonae). Our method is designed to easily integrate general biological and hydrological data and to enable spatially explicit estimates of the distribution of sessile and mobile species in fluvial ecosystems based on eDNA sampling.
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spelling pubmed-62432902018-11-27 Estimating species distribution and abundance in river networks using environmental DNA Carraro, Luca Hartikainen, Hanna Jokela, Jukka Bertuzzo, Enrico Rinaldo, Andrea Proc Natl Acad Sci U S A Physical Sciences All organisms leave traces of DNA in their environment. This environmental DNA (eDNA) is often used to track occurrence patterns of target species. Applications are especially promising in rivers, where eDNA can integrate information about populations upstream. The dispersion of eDNA in rivers is modulated by complex processes of transport and decay through the dendritic river network, and we currently lack a method to extract quantitative information about the location and density of populations contributing to the eDNA signal. Here, we present a general framework to reconstruct the upstream distribution and abundance of a target species across a river network, based on observed eDNA concentrations and hydro-geomorphological features of the network. The model captures well the catchment-wide spatial biomass distribution of two target species: a sessile invertebrate (the bryozoan Fredericella sultana) and its parasite (the myxozoan Tetracapsuloides bryosalmonae). Our method is designed to easily integrate general biological and hydrological data and to enable spatially explicit estimates of the distribution of sessile and mobile species in fluvial ecosystems based on eDNA sampling. National Academy of Sciences 2018-11-13 2018-10-29 /pmc/articles/PMC6243290/ /pubmed/30373831 http://dx.doi.org/10.1073/pnas.1813843115 Text en Copyright © 2018 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Physical Sciences
Carraro, Luca
Hartikainen, Hanna
Jokela, Jukka
Bertuzzo, Enrico
Rinaldo, Andrea
Estimating species distribution and abundance in river networks using environmental DNA
title Estimating species distribution and abundance in river networks using environmental DNA
title_full Estimating species distribution and abundance in river networks using environmental DNA
title_fullStr Estimating species distribution and abundance in river networks using environmental DNA
title_full_unstemmed Estimating species distribution and abundance in river networks using environmental DNA
title_short Estimating species distribution and abundance in river networks using environmental DNA
title_sort estimating species distribution and abundance in river networks using environmental dna
topic Physical Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6243290/
https://www.ncbi.nlm.nih.gov/pubmed/30373831
http://dx.doi.org/10.1073/pnas.1813843115
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