eDNA metabarcoding of log hollow sediments and soils highlights the importance of substrate type, frequency of sampling and animal size, for vertebrate species detection

Abstract Fauna monitoring often relies on visual monitoring techniques such as camera trapping, which have biases leading to underestimates of vertebrate species diversity. Environmental DNA (eDNA) metabarcoding has emerged as a new source of biodiversity data that may improve biomonitoring; however...

Full description

Bibliographic Details
Main Authors: Ethan Ryan, Philip Bateman, Kristen Fernandes, Mieke van derHeyde, Paul Nevill
Format: Article
Language:English
Published: Wiley 2022-07-01
Series:Environmental DNA
Subjects:
Online Access:https://doi.org/10.1002/edn3.306
_version_ 1818180350751277056
author Ethan Ryan
Philip Bateman
Kristen Fernandes
Mieke van derHeyde
Paul Nevill
author_facet Ethan Ryan
Philip Bateman
Kristen Fernandes
Mieke van derHeyde
Paul Nevill
author_sort Ethan Ryan
collection DOAJ
description Abstract Fauna monitoring often relies on visual monitoring techniques such as camera trapping, which have biases leading to underestimates of vertebrate species diversity. Environmental DNA (eDNA) metabarcoding has emerged as a new source of biodiversity data that may improve biomonitoring; however, eDNA‐based assessments of species richness remain relatively untested in terrestrial environments. We investigated the suitability of fallen log hollow sediment as a source of vertebrate eDNA, across two sites in southwestern Australia—one with a Mediterranean climate and the other semi‐arid. We compared two different approaches (camera trapping and eDNA metabarcoding) for monitoring of vertebrate species, and investigated the effect of other factors (frequency of species, timing of visits, frequency of sampling, and body size) on vertebrate species detectability. Metabarcoding of hollow sediments resulted in the detection of higher species richness in comparison (29 taxa: six birds, three reptiles, and 20 mammals) to metabarcoding of soil at the entrance of the hollow (13 taxa: three birds, two reptiles, and eight mammals). We detected 31 taxa in total with eDNA metabarcoding and 47 with camera traps, with 14 taxa detected by both (12 mammals and two birds). By comparing camera trap data with eDNA read abundance, we were able to detect vertebrates through eDNA metabarcoding that had visited the area up to two months prior to sample collection. Larger animals were more likely to be detected, and so were vertebrates that were identified multiple times in the camera traps. These findings demonstrate the importance of substrate selection, frequency of sampling, and animal size, on eDNA‐based monitoring. Future eDNA experimental design should consider all these factors as they affect detection of target taxa.
first_indexed 2024-12-11T21:18:23Z
format Article
id doaj.art-95510fd22ab2428ea11709ac6ca18fdd
institution Directory Open Access Journal
issn 2637-4943
language English
last_indexed 2024-12-11T21:18:23Z
publishDate 2022-07-01
publisher Wiley
record_format Article
series Environmental DNA
spelling doaj.art-95510fd22ab2428ea11709ac6ca18fdd2022-12-22T00:50:33ZengWileyEnvironmental DNA2637-49432022-07-014494095310.1002/edn3.306eDNA metabarcoding of log hollow sediments and soils highlights the importance of substrate type, frequency of sampling and animal size, for vertebrate species detectionEthan Ryan0Philip Bateman1Kristen Fernandes2Mieke van derHeyde3Paul Nevill4ARC Centre for Mine Site Restoration, School of Molecular and Life Sciences Curtin University Perth Western Australia AustraliaBehavioural Ecology Lab, School of Molecular and Life Sciences Curtin University Perth Western Australia AustraliaTrace and Environmental DNA Laboratory, School of Life and Molecular Sciences Curtin University Perth Western Australia AustraliaARC Centre for Mine Site Restoration, School of Molecular and Life Sciences Curtin University Perth Western Australia AustraliaARC Centre for Mine Site Restoration, School of Molecular and Life Sciences Curtin University Perth Western Australia AustraliaAbstract Fauna monitoring often relies on visual monitoring techniques such as camera trapping, which have biases leading to underestimates of vertebrate species diversity. Environmental DNA (eDNA) metabarcoding has emerged as a new source of biodiversity data that may improve biomonitoring; however, eDNA‐based assessments of species richness remain relatively untested in terrestrial environments. We investigated the suitability of fallen log hollow sediment as a source of vertebrate eDNA, across two sites in southwestern Australia—one with a Mediterranean climate and the other semi‐arid. We compared two different approaches (camera trapping and eDNA metabarcoding) for monitoring of vertebrate species, and investigated the effect of other factors (frequency of species, timing of visits, frequency of sampling, and body size) on vertebrate species detectability. Metabarcoding of hollow sediments resulted in the detection of higher species richness in comparison (29 taxa: six birds, three reptiles, and 20 mammals) to metabarcoding of soil at the entrance of the hollow (13 taxa: three birds, two reptiles, and eight mammals). We detected 31 taxa in total with eDNA metabarcoding and 47 with camera traps, with 14 taxa detected by both (12 mammals and two birds). By comparing camera trap data with eDNA read abundance, we were able to detect vertebrates through eDNA metabarcoding that had visited the area up to two months prior to sample collection. Larger animals were more likely to be detected, and so were vertebrates that were identified multiple times in the camera traps. These findings demonstrate the importance of substrate selection, frequency of sampling, and animal size, on eDNA‐based monitoring. Future eDNA experimental design should consider all these factors as they affect detection of target taxa.https://doi.org/10.1002/edn3.306biodiversitybiomonitoringcamera trapsenvironmental DNAfauna surveysmetabarcoding
spellingShingle Ethan Ryan
Philip Bateman
Kristen Fernandes
Mieke van derHeyde
Paul Nevill
eDNA metabarcoding of log hollow sediments and soils highlights the importance of substrate type, frequency of sampling and animal size, for vertebrate species detection
Environmental DNA
biodiversity
biomonitoring
camera traps
environmental DNA
fauna surveys
metabarcoding
title eDNA metabarcoding of log hollow sediments and soils highlights the importance of substrate type, frequency of sampling and animal size, for vertebrate species detection
title_full eDNA metabarcoding of log hollow sediments and soils highlights the importance of substrate type, frequency of sampling and animal size, for vertebrate species detection
title_fullStr eDNA metabarcoding of log hollow sediments and soils highlights the importance of substrate type, frequency of sampling and animal size, for vertebrate species detection
title_full_unstemmed eDNA metabarcoding of log hollow sediments and soils highlights the importance of substrate type, frequency of sampling and animal size, for vertebrate species detection
title_short eDNA metabarcoding of log hollow sediments and soils highlights the importance of substrate type, frequency of sampling and animal size, for vertebrate species detection
title_sort edna metabarcoding of log hollow sediments and soils highlights the importance of substrate type frequency of sampling and animal size for vertebrate species detection
topic biodiversity
biomonitoring
camera traps
environmental DNA
fauna surveys
metabarcoding
url https://doi.org/10.1002/edn3.306
work_keys_str_mv AT ethanryan ednametabarcodingofloghollowsedimentsandsoilshighlightstheimportanceofsubstratetypefrequencyofsamplingandanimalsizeforvertebratespeciesdetection
AT philipbateman ednametabarcodingofloghollowsedimentsandsoilshighlightstheimportanceofsubstratetypefrequencyofsamplingandanimalsizeforvertebratespeciesdetection
AT kristenfernandes ednametabarcodingofloghollowsedimentsandsoilshighlightstheimportanceofsubstratetypefrequencyofsamplingandanimalsizeforvertebratespeciesdetection
AT miekevanderheyde ednametabarcodingofloghollowsedimentsandsoilshighlightstheimportanceofsubstratetypefrequencyofsamplingandanimalsizeforvertebratespeciesdetection
AT paulnevill ednametabarcodingofloghollowsedimentsandsoilshighlightstheimportanceofsubstratetypefrequencyofsamplingandanimalsizeforvertebratespeciesdetection