Soil environmental DNA metabarcoding in low-biomass regions requires protocol optimization: a case study in Antarctica

Environmental DNA is a powerful tool for monitoring biodiversity. Although environmental DNA surveys have successfully been implemented in various environments, protocol choice has been shown to affect results and inferences. Thus far, few method comparison studies for soil have been undertaken. Her...

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Published in:Antarctic Science
Main Authors: Olmedo-Rojas, Pamela, Jeunen, Gert Jan, Lamare, Miles, Turnbull, Johanna, Terauds, Aleks, Gemmell, Neil, Fraser, Ceridwen I.
Format: Text
Language:unknown
Published: Research Online 2023
Subjects:
18S
Online Access:https://ro.uow.edu.au/test2021/8009
https://doi.org/10.1017/S0954102022000384
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spelling ftunivwollongong:oai:ro.uow.edu.au:test2021-13556 2023-06-11T04:04:42+02:00 Soil environmental DNA metabarcoding in low-biomass regions requires protocol optimization: a case study in Antarctica Olmedo-Rojas, Pamela Jeunen, Gert Jan Lamare, Miles Turnbull, Johanna Terauds, Aleks Gemmell, Neil Fraser, Ceridwen I. 2023-02-06T08:00:00Z https://ro.uow.edu.au/test2021/8009 https://doi.org/10.1017/S0954102022000384 unknown Research Online https://ro.uow.edu.au/test2021/8009 doi:10.1017/S0954102022000384 https://doi.org/10.1017/S0954102022000384 Scopus Harvesting Series 18S biodiversity biogeography desert eDNA operational taxonomic unit remote environments text 2023 ftunivwollongong https://doi.org/10.1017/S0954102022000384 2023-05-15T22:24:53Z Environmental DNA is a powerful tool for monitoring biodiversity. Although environmental DNA surveys have successfully been implemented in various environments, protocol choice has been shown to affect results and inferences. Thus far, few method comparison studies for soil have been undertaken. Here, we optimized the workflow for soil metabarcoding through a comparative study encompassing variation in sampling strategy (individual and combined samples), DNA extraction (PowerSoil®, NucleoSpin® Soil, PowerSoil® + phosphate buffer and NucleoSpin® Soil + phosphate buffer) and library preparation (one-step and two-step quantitative polymerase chain reaction methods). Using a partial 18S rRNA marker, a total of 309 eukaryotic taxa across 21 phyla were identified from Antarctic soil from one site in the Larsemann Hills. Our optimized workflow was effective with no notable reduction in data quality for a considerable increase in time and cost efficiency. The NucleoSpin® Soil + phosphate buffer was the best-performing extraction method. Compared to similar studies in other regions, we obtained low taxonomic coverage, perhaps because of the paucity of Antarctic terrestrial organisms in genetic reference databases. Our findings provide useful methodological insights for maximizing efficiency in soil metabarcoding studies in Antarctica and other low-biomass environments. Text Antarc* Antarctic Antarctica University of Wollongong, Australia: Research Online Antarctic Larsemann Hills ENVELOPE(76.217,76.217,-69.400,-69.400) Antarctic Science 35 1 15 30
institution Open Polar
collection University of Wollongong, Australia: Research Online
op_collection_id ftunivwollongong
language unknown
topic 18S
biodiversity
biogeography
desert
eDNA
operational taxonomic unit
remote environments
spellingShingle 18S
biodiversity
biogeography
desert
eDNA
operational taxonomic unit
remote environments
Olmedo-Rojas, Pamela
Jeunen, Gert Jan
Lamare, Miles
Turnbull, Johanna
Terauds, Aleks
Gemmell, Neil
Fraser, Ceridwen I.
Soil environmental DNA metabarcoding in low-biomass regions requires protocol optimization: a case study in Antarctica
topic_facet 18S
biodiversity
biogeography
desert
eDNA
operational taxonomic unit
remote environments
description Environmental DNA is a powerful tool for monitoring biodiversity. Although environmental DNA surveys have successfully been implemented in various environments, protocol choice has been shown to affect results and inferences. Thus far, few method comparison studies for soil have been undertaken. Here, we optimized the workflow for soil metabarcoding through a comparative study encompassing variation in sampling strategy (individual and combined samples), DNA extraction (PowerSoil®, NucleoSpin® Soil, PowerSoil® + phosphate buffer and NucleoSpin® Soil + phosphate buffer) and library preparation (one-step and two-step quantitative polymerase chain reaction methods). Using a partial 18S rRNA marker, a total of 309 eukaryotic taxa across 21 phyla were identified from Antarctic soil from one site in the Larsemann Hills. Our optimized workflow was effective with no notable reduction in data quality for a considerable increase in time and cost efficiency. The NucleoSpin® Soil + phosphate buffer was the best-performing extraction method. Compared to similar studies in other regions, we obtained low taxonomic coverage, perhaps because of the paucity of Antarctic terrestrial organisms in genetic reference databases. Our findings provide useful methodological insights for maximizing efficiency in soil metabarcoding studies in Antarctica and other low-biomass environments.
format Text
author Olmedo-Rojas, Pamela
Jeunen, Gert Jan
Lamare, Miles
Turnbull, Johanna
Terauds, Aleks
Gemmell, Neil
Fraser, Ceridwen I.
author_facet Olmedo-Rojas, Pamela
Jeunen, Gert Jan
Lamare, Miles
Turnbull, Johanna
Terauds, Aleks
Gemmell, Neil
Fraser, Ceridwen I.
author_sort Olmedo-Rojas, Pamela
title Soil environmental DNA metabarcoding in low-biomass regions requires protocol optimization: a case study in Antarctica
title_short Soil environmental DNA metabarcoding in low-biomass regions requires protocol optimization: a case study in Antarctica
title_full Soil environmental DNA metabarcoding in low-biomass regions requires protocol optimization: a case study in Antarctica
title_fullStr Soil environmental DNA metabarcoding in low-biomass regions requires protocol optimization: a case study in Antarctica
title_full_unstemmed Soil environmental DNA metabarcoding in low-biomass regions requires protocol optimization: a case study in Antarctica
title_sort soil environmental dna metabarcoding in low-biomass regions requires protocol optimization: a case study in antarctica
publisher Research Online
publishDate 2023
url https://ro.uow.edu.au/test2021/8009
https://doi.org/10.1017/S0954102022000384
long_lat ENVELOPE(76.217,76.217,-69.400,-69.400)
geographic Antarctic
Larsemann Hills
geographic_facet Antarctic
Larsemann Hills
genre Antarc*
Antarctic
Antarctica
genre_facet Antarc*
Antarctic
Antarctica
op_source Scopus Harvesting Series
op_relation https://ro.uow.edu.au/test2021/8009
doi:10.1017/S0954102022000384
https://doi.org/10.1017/S0954102022000384
op_doi https://doi.org/10.1017/S0954102022000384
container_title Antarctic Science
container_volume 35
container_issue 1
container_start_page 15
op_container_end_page 30
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