Evidence map›Paper›PMID 37207328›Full record

ArticleNucleic acids research2023

Pest Alert Tool-a web-based application for flagging species of concern in metabarcoding datasets.

Anastasija Zaiko, Maximilian Scheel, Jessica Schattschneider, Ulla von Ammon, Michelle Scriver, Xavier Pochon, John K Pearman

Abstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
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

7 authors.

Anastasija ZaikoCawthron Institute, Private Bag 2, Nelson 7042, New Zealand.ORCID 0000-0003-4037-1861
Maximilian ScheelCawthron Institute, Private Bag 2, Nelson 7042, New Zealand.
Jessica SchattschneiderCawthron Institute, Private Bag 2, Nelson 7042, New Zealand.
Ulla von AmmonCawthron Institute, Private Bag 2, Nelson 7042, New Zealand.
Michelle ScriverCawthron Institute, Private Bag 2, Nelson 7042, New Zealand.
Xavier PochonCawthron Institute, Private Bag 2, Nelson 7042, New Zealand.
John K PearmanCawthron Institute, Private Bag 2, Nelson 7042, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in high-throughput sequencing (HTS) technologies and their increasing affordability have fueled environmental DNA (eDNA) metabarcoding data generation from freshwater, marine and terrestrial ecosystems. Research institutions worldwide progressively employ HTS for biodiversity assessments, new species discovery and ecological trend monitoring. Moreover, even non-scientists can now collect an eDNA sample, send it to a specialized laboratory for analysis and receive in-depth biodiversity record from a sampling site. This offers unprecedented opportunities for biodiversity assessments across wide temporal and spatial scales. The large volume of data produced by metabarcoding also enables incidental detection of species of concern, including non-indigenous and pathogenic organisms. We introduce an online app-Pest Alert Tool-for screening nuclear small subunit 18S ribosomal RNA and mitochondrial cytochrome oxidase subunit I datasets for marine non-indigenous species as well as unwanted and notifiable marine organisms in New Zealand. The output can be filtered by minimum length of the query sequence and identity match. For putative matches, a phylogenetic tree can be generated through the National Center for Biotechnology Information's BLAST Tree View tool, allowing for additional verification of the species of concern detection. The Pest Alert Tool is publicly available at https://pest-alert-tool-prod.azurewebsites.net/.

Indexed as

DNA Barcoding, TaxonomicDNA, EnvironmentalEcosystemIntroduced SpeciesBiodiversityHigh-Throughput Screening AssaysInternetMobile ApplicationsPhylogenyDNA, Environmental

Identifiers

PMID37207328
PMCPMC10320087

What OpenQuestion 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 OpenQuestion graph.