Evidence map›Paper›PMID 42226773›Full record

ArticlePeerJ2026

Automated eDNA sampling for marine monitoring and biosecurity: optimising temporal resolution, remote deployments, and community engagement.

Michelle Scriver, Ulla von Ammon, Suz Te Tai, Melissa Tipene, Krushil Watene, Nick Bamford, Austen C Thomas, Anastasija Zaiko

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Michelle ScriverSequench Ltd., Nelson, New Zealand.
Ulla von AmmonBiosecurity Group, Cawthron Institute, Nelson, New Zealand.
Suz Te TaiNgati Manu/Nga Kaitiaki o te Ahi, Kāretu, New Zealand.
Melissa TipeneNgati Manu, Kāretu, New Zealand.
Krushil WateneNgati Manu, Kāretu, New Zealand.
Nick BamfordNorthland Regional Council, Whangarei, New Zealand.
Austen C ThomasSmith-Root, Vancouver, WA, United States of America.
Anastasija ZaikoSequench Ltd., Nelson, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental DNA (eDNA) offers unprecedented potential for monitoring high-risk coastal environments impacted by anthropogenic activities and is increasingly used for marine biosecurity applications. Yet, optimal temporal-spatial sampling strategies remain unresolved for dynamic coastal settings. Recent advances in automated eDNA sampling have allowed practitioners to improve temporal resolution, enabling simplified sampling methods and more adaptive sampling strategies. In this study, we evaluated whether higher temporal resolution improves biodiversity assessment and marine non-indigenous species (NIS) detection in a marina in Ōpua (Te Pēwhairangi (Bay of Islands), Aotearoa-New Zealand) using the recently introduced Smith-Root automated eDNA sampler. For this purpose, daily samples were collected over four weeks between 12:00-18:00 to assess eukaryotic and metazoan biodiversity using metabarcoding of the small ribosomal subunit RNA (18S rRNA) and mitochondrial

Indexed as

Aquatic OrganismsBiosecurityDNA, EnvironmentalEnvironmental MonitoringAnimalsBiodiversityDNA Barcoding, TaxonomicNew ZealandRNA, Ribosomal, 18SDNA, EnvironmentalRNA, Ribosomal, 18SAutomated samplerBiodiversity monitoringBiosecurityCommunity engagementeDNAInvasive speciesMarine surveillanceMetabarcodingRobotic samplerTemporal resolution

Identifiers

PMID42226773
PMCPMC13222548

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.