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

Biomonitoring of complex heterogeneous environments is highly challenging. Fish in deep water bodies occupy different habitats, so a combination of survey methods has traditionally been used. Environmental DNA (eDNA) metabarcoding is a novel monitoring tool that can overcome spatial heterogeneity in...

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Autores principales:	Petr Blabolil, Lynsey R. Harper, Štěpánka Říčanová, Graham Sellers, Cristina Di Muri, Tomáš Jůza, Mojmír Vašek, Zuzana Sajdlová, Pavel Rychtecký, Petr Znachor, Josef Hejzlar, Jiří Peterka, Bernd Hänfling
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Community ecology eDNA Environmental parameters Lentic Reservoir Species detection Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/b7dd0705b4674bcc9b0491654eab34dc
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spelling	oai:doaj.org-article:b7dd0705b4674bcc9b0491654eab34dc2021-12-01T04:51:37ZEnvironmental DNA metabarcoding uncovers environmental correlates of fish communities in spatially heterogeneous freshwater habitats1470-160X10.1016/j.ecolind.2021.107698https://doaj.org/article/b7dd0705b4674bcc9b0491654eab34dc2021-07-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21003630https://doaj.org/toc/1470-160XBiomonitoring of complex heterogeneous environments is highly challenging. Fish in deep water bodies occupy different habitats, so a combination of survey methods has traditionally been used. Environmental DNA (eDNA) metabarcoding is a novel monitoring tool that can overcome spatial heterogeneity in a highly sensitive and entirely non-invasive manner. However, taxon detection probability is dependent on environmental variables. In this study, three reservoirs were sampled in two seasons using a spatiotemporally distributed sampling design covering major environmental gradients. In all sampling campaigns, 31 fish taxa were detected. Data reliability was supported by tight positive correlations between individual taxon scores derived from gillnet sampling and eDNA site occupancy. Analyses confirmed anticipated trends, such as the highest number of taxa in the largest water body, and more taxa in inflows and littoral regions compared to open water. The most important factors for fish distribution were temperature, water age and trophic status (expressed as total Chlorophyll a concentration) of water bodies. Taxon detection reflected ecological niches of individual species, e.g. warm water wels catfish (Silurus glanis) and cold water salmonids. This study provides further evidence that eDNA metabarcoding is a suitable alternative or complement to conventional fish sampling in reservoirs.Petr BlabolilLynsey R. HarperŠtěpánka ŘíčanováGraham SellersCristina Di MuriTomáš JůzaMojmír VašekZuzana SajdlováPavel RychteckýPetr ZnachorJosef HejzlarJiří PeterkaBernd HänflingElsevierarticleCommunity ecologyeDNAEnvironmental parametersLenticReservoirSpecies detectionEcologyQH540-549.5ENEcological Indicators, Vol 126, Iss , Pp 107698- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Community ecology eDNA Environmental parameters Lentic Reservoir Species detection Ecology QH540-549.5
spellingShingle	Community ecology eDNA Environmental parameters Lentic Reservoir Species detection Ecology QH540-549.5 Petr Blabolil Lynsey R. Harper Štěpánka Říčanová Graham Sellers Cristina Di Muri Tomáš Jůza Mojmír Vašek Zuzana Sajdlová Pavel Rychtecký Petr Znachor Josef Hejzlar Jiří Peterka Bernd Hänfling Environmental DNA metabarcoding uncovers environmental correlates of fish communities in spatially heterogeneous freshwater habitats
description	Biomonitoring of complex heterogeneous environments is highly challenging. Fish in deep water bodies occupy different habitats, so a combination of survey methods has traditionally been used. Environmental DNA (eDNA) metabarcoding is a novel monitoring tool that can overcome spatial heterogeneity in a highly sensitive and entirely non-invasive manner. However, taxon detection probability is dependent on environmental variables. In this study, three reservoirs were sampled in two seasons using a spatiotemporally distributed sampling design covering major environmental gradients. In all sampling campaigns, 31 fish taxa were detected. Data reliability was supported by tight positive correlations between individual taxon scores derived from gillnet sampling and eDNA site occupancy. Analyses confirmed anticipated trends, such as the highest number of taxa in the largest water body, and more taxa in inflows and littoral regions compared to open water. The most important factors for fish distribution were temperature, water age and trophic status (expressed as total Chlorophyll a concentration) of water bodies. Taxon detection reflected ecological niches of individual species, e.g. warm water wels catfish (Silurus glanis) and cold water salmonids. This study provides further evidence that eDNA metabarcoding is a suitable alternative or complement to conventional fish sampling in reservoirs.
format	article
author	Petr Blabolil Lynsey R. Harper Štěpánka Říčanová Graham Sellers Cristina Di Muri Tomáš Jůza Mojmír Vašek Zuzana Sajdlová Pavel Rychtecký Petr Znachor Josef Hejzlar Jiří Peterka Bernd Hänfling
author_facet	Petr Blabolil Lynsey R. Harper Štěpánka Říčanová Graham Sellers Cristina Di Muri Tomáš Jůza Mojmír Vašek Zuzana Sajdlová Pavel Rychtecký Petr Znachor Josef Hejzlar Jiří Peterka Bernd Hänfling
author_sort	Petr Blabolil
title	Environmental DNA metabarcoding uncovers environmental correlates of fish communities in spatially heterogeneous freshwater habitats
title_short	Environmental DNA metabarcoding uncovers environmental correlates of fish communities in spatially heterogeneous freshwater habitats
title_full	Environmental DNA metabarcoding uncovers environmental correlates of fish communities in spatially heterogeneous freshwater habitats
title_fullStr	Environmental DNA metabarcoding uncovers environmental correlates of fish communities in spatially heterogeneous freshwater habitats
title_full_unstemmed	Environmental DNA metabarcoding uncovers environmental correlates of fish communities in spatially heterogeneous freshwater habitats
title_sort	environmental dna metabarcoding uncovers environmental correlates of fish communities in spatially heterogeneous freshwater habitats
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/b7dd0705b4674bcc9b0491654eab34dc
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Environmental DNA metabarcoding uncovers environmental correlates of fish communities in spatially heterogeneous freshwater habitats

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