Evidence map›Paper›PMID 37113520›Full record

ArticleEcology and evolution2023

Detection of vertebrates from natural and artificial inland water bodies in a semi-arid habitat using eDNA from filtered, swept, and sediment samples.

Rupert McDonald, Philip W Bateman, Christine Cooper, Mieke van der Heyde, Mahsa Mousavi-Derazmahalleh, Brock A Hedges, Michelle T Guzik, Paul Nevill

Abstract read
In one paragraph

Article in Ecology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Rupert McDonaldTrace and Environmental DNA Laboratory, School of Life and Molecular Sciences Curtin University Perth Australia.
Philip W BatemanTrace and Environmental DNA Laboratory, School of Life and Molecular Sciences Curtin University Perth Australia.
Christine CooperSchool of Molecular and Life Sciences Curtin University Perth Australia.
Mieke van der HeydeTrace and Environmental DNA Laboratory, School of Life and Molecular Sciences Curtin University Perth Australia.
Mahsa Mousavi-DerazmahallehTrace and Environmental DNA Laboratory, School of Life and Molecular Sciences Curtin University Perth Australia.
Brock A HedgesSchool of Biological Sciences The University of Adelaide Adelaide Australia.
Michelle T GuzikSchool of Biological Sciences The University of Adelaide Adelaide Australia.
Paul NevillTrace and Environmental DNA Laboratory, School of Life and Molecular Sciences Curtin University Perth Australia.ORCID https://orcid.org/0000-0001-8238-0534

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomonitoring is vital for establishing baseline data that is needed to identify and quantify ecological change and to inform management and conservation activities. However, biomonitoring and biodiversity assessment in arid environments, which are predicted to cover 56% of the Earth's land surface by 2100, can be prohibitively time consuming, expensive, and logistically challenging due to their often remote and inhospitable nature. Sampling of environmental DNA (eDNA) coupled with high-throughput sequencing is an emerging biodiversity assessment method. Here we explore the application of eDNA metabarcoding and various sampling approaches to estimate vertebrate richness and assemblage at human-constructed and natural water sources in a semi-arid region of Western Australia. Three sampling methods: sediment samples, filtering through a membrane with a pump, and membrane sweeping in the water body, were compared using two eDNA metabarcoding assays, 12S-V5 and 16smam, for 120 eDNA samples collected from four gnammas (

Indexed as

arid landsbiodiversitybiomonitoringenvironmental DNAFauna surveysmetabarcodingvertebrates

Identifiers

PMID37113520
PMCPMC10126312

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.