Beyond fish eDNA metabarcoding: Field replicates disproportionately improve the detection of stream associated vertebrate species

Fast, reliable, and comprehensive biodiversity monitoring data are needed for environmental decision making and management. Recent work on fish environmental DNA (eDNA) metabarcoding shows that aquatic diversity can be captured fast, reliably, and non-invasively at moderate costs. Because water in a...

Full description

Bibliographic Details
Main Authors: Till-Hendrik Macher, Robin Schütz, Jens Arle, Arne J. Beermann, Jan Koschorreck, Florian Leese
Format: Article
Language:English
Published: Pensoft Publishers 2021-07-01
Series:Metabarcoding and Metagenomics
Online Access:https://mbmg.pensoft.net/article/66557/download/pdf/
_version_ 1818340064359350272
author Till-Hendrik Macher
Robin Schütz
Jens Arle
Arne J. Beermann
Jan Koschorreck
Florian Leese
author_facet Till-Hendrik Macher
Robin Schütz
Jens Arle
Arne J. Beermann
Jan Koschorreck
Florian Leese
author_sort Till-Hendrik Macher
collection DOAJ
description Fast, reliable, and comprehensive biodiversity monitoring data are needed for environmental decision making and management. Recent work on fish environmental DNA (eDNA) metabarcoding shows that aquatic diversity can be captured fast, reliably, and non-invasively at moderate costs. Because water in a catchment flows to the lowest point in the landscape, often a stream, it can collect traces of terrestrial species via surface or subsurface runoff along its way or when specimens come into direct contact with water (e.g., when drinking). Thus, fish eDNA metabarcoding data can provide information on fish but also on other vertebrate species that live in riparian habitats. This additional data may offer a much more comprehensive approach for assessing vertebrate diversity at no additional costs. Studies on how the sampling strategy affects species detection especially of stream-associated communities, however, are scarce. We therefore performed an analysis on the effects of biological replication on both fish as well as (semi-)terrestrial species detection. Along a 2 km stretch of the river Mulde (Germany), we collected 18 1-L water samples and analyzed the relation of detected species richness and quantity of biological replicates taken. We detected 58 vertebrate species, of which 25 were fish and lamprey, 18 mammals, and 15 birds, which account for 50%, 22.2%, and 7.4% of all native species to the German federal state of Saxony-Anhalt. However, while increasing the number of biological replicates resulted in only 24.8% more detected fish and lamprey species, mammal, and bird species richness increased disproportionately by 68.9% and 77.3%, respectively. Contrary, PCR replicates showed little stochasticity. We thus emphasize to increase the number of biological replicates when the aim is to improve general species detections. This holds especially true when the focus is on rare aquatic taxa or on (semi-)terrestrial species, the so-called ‘bycatch’. As a clear advantage, this information can be obtained without any additional sampling or laboratory effort when the sampling strategy is chosen carefully. With the increased use of eDNA metabarcoding as part of national fish bioassessment and monitoring programs, the complimentary information provided on bycatch can be used for biodiversity monitoring and conservation on a much broader scale.
first_indexed 2024-12-13T15:36:57Z
format Article
id doaj.art-73e3aee73b1149c986f90e310e89c303
institution Directory Open Access Journal
issn 2534-9708
language English
last_indexed 2024-12-13T15:36:57Z
publishDate 2021-07-01
publisher Pensoft Publishers
record_format Article
series Metabarcoding and Metagenomics
spelling doaj.art-73e3aee73b1149c986f90e310e89c3032022-12-21T23:39:59ZengPensoft PublishersMetabarcoding and Metagenomics2534-97082021-07-015597110.3897/mbmg.5.6655766557Beyond fish eDNA metabarcoding: Field replicates disproportionately improve the detection of stream associated vertebrate speciesTill-Hendrik Macher0Robin Schütz1Jens Arle2Arne J. Beermann3Jan Koschorreck4Florian Leese5University of Duisburg-EssenUniversity of Duisburg-EssenGerman Environment AgencyUniversity of Duisburg-EssenGerman Environment AgencyUniversity of Duisburg-EssenFast, reliable, and comprehensive biodiversity monitoring data are needed for environmental decision making and management. Recent work on fish environmental DNA (eDNA) metabarcoding shows that aquatic diversity can be captured fast, reliably, and non-invasively at moderate costs. Because water in a catchment flows to the lowest point in the landscape, often a stream, it can collect traces of terrestrial species via surface or subsurface runoff along its way or when specimens come into direct contact with water (e.g., when drinking). Thus, fish eDNA metabarcoding data can provide information on fish but also on other vertebrate species that live in riparian habitats. This additional data may offer a much more comprehensive approach for assessing vertebrate diversity at no additional costs. Studies on how the sampling strategy affects species detection especially of stream-associated communities, however, are scarce. We therefore performed an analysis on the effects of biological replication on both fish as well as (semi-)terrestrial species detection. Along a 2 km stretch of the river Mulde (Germany), we collected 18 1-L water samples and analyzed the relation of detected species richness and quantity of biological replicates taken. We detected 58 vertebrate species, of which 25 were fish and lamprey, 18 mammals, and 15 birds, which account for 50%, 22.2%, and 7.4% of all native species to the German federal state of Saxony-Anhalt. However, while increasing the number of biological replicates resulted in only 24.8% more detected fish and lamprey species, mammal, and bird species richness increased disproportionately by 68.9% and 77.3%, respectively. Contrary, PCR replicates showed little stochasticity. We thus emphasize to increase the number of biological replicates when the aim is to improve general species detections. This holds especially true when the focus is on rare aquatic taxa or on (semi-)terrestrial species, the so-called ‘bycatch’. As a clear advantage, this information can be obtained without any additional sampling or laboratory effort when the sampling strategy is chosen carefully. With the increased use of eDNA metabarcoding as part of national fish bioassessment and monitoring programs, the complimentary information provided on bycatch can be used for biodiversity monitoring and conservation on a much broader scale.https://mbmg.pensoft.net/article/66557/download/pdf/
spellingShingle Till-Hendrik Macher
Robin Schütz
Jens Arle
Arne J. Beermann
Jan Koschorreck
Florian Leese
Beyond fish eDNA metabarcoding: Field replicates disproportionately improve the detection of stream associated vertebrate species
Metabarcoding and Metagenomics
title Beyond fish eDNA metabarcoding: Field replicates disproportionately improve the detection of stream associated vertebrate species
title_full Beyond fish eDNA metabarcoding: Field replicates disproportionately improve the detection of stream associated vertebrate species
title_fullStr Beyond fish eDNA metabarcoding: Field replicates disproportionately improve the detection of stream associated vertebrate species
title_full_unstemmed Beyond fish eDNA metabarcoding: Field replicates disproportionately improve the detection of stream associated vertebrate species
title_short Beyond fish eDNA metabarcoding: Field replicates disproportionately improve the detection of stream associated vertebrate species
title_sort beyond fish edna metabarcoding field replicates disproportionately improve the detection of stream associated vertebrate species
url https://mbmg.pensoft.net/article/66557/download/pdf/
work_keys_str_mv AT tillhendrikmacher beyondfishednametabarcodingfieldreplicatesdisproportionatelyimprovethedetectionofstreamassociatedvertebratespecies
AT robinschutz beyondfishednametabarcodingfieldreplicatesdisproportionatelyimprovethedetectionofstreamassociatedvertebratespecies
AT jensarle beyondfishednametabarcodingfieldreplicatesdisproportionatelyimprovethedetectionofstreamassociatedvertebratespecies
AT arnejbeermann beyondfishednametabarcodingfieldreplicatesdisproportionatelyimprovethedetectionofstreamassociatedvertebratespecies
AT jankoschorreck beyondfishednametabarcodingfieldreplicatesdisproportionatelyimprovethedetectionofstreamassociatedvertebratespecies
AT florianleese beyondfishednametabarcodingfieldreplicatesdisproportionatelyimprovethedetectionofstreamassociatedvertebratespecies