Evidence map›Paper›PMID 30832286›Full record

ReviewGenes2019

Beyond Biodiversity: Can Environmental DNA (eDNA) Cut It as a Population Genetics Tool?

Clare I M Adams, Michael Knapp, Neil J Gemmell, Gert-Jan Jeunen, Michael Bunce, Miles D Lamare, Helen R Taylor

Abstract readReview
In one paragraph

Review in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

61 citing papers in PubMed.

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1 more citing papers are in PubMed but not listed here.

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.

Clare I M AdamsDepartment of Anatomy, University of Otago, 270 Great King Street, Dunedin, Otago 9016, New Zealand. clare.adams@postgrad.otago.ac.nz.
Michael KnappDepartment of Anatomy, University of Otago, 270 Great King Street, Dunedin, Otago 9016, New Zealand. michael.knapp@otago.ac.nz.
Neil J GemmellDepartment of Anatomy, University of Otago, 270 Great King Street, Dunedin, Otago 9016, New Zealand. neil.gemmell@otago.ac.nz.
Gert-Jan JeunenDepartment of Anatomy, University of Otago, 270 Great King Street, Dunedin, Otago 9016, New Zealand. gjeunen@gmail.com.
Michael BunceTrace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Bentley, Perth, WA 6102, Australia. michael.bunce@curtin.edu.au.
Miles D LamareDepartment of Marine Science, University of Otago, 310 Castle Street, Dunedin, Otago 9016, New Zealand. miles.lamare@otago.ac.nz.
Helen R TaylorDepartment of Anatomy, University of Otago, 270 Great King Street, Dunedin, Otago 9016, New Zealand. helen.taylor@otago.ac.nz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population genetic data underpin many studies of behavioral, ecological, and evolutionary processes in wild populations and contribute to effective conservation management. However, collecting genetic samples can be challenging when working with endangered, invasive, or cryptic species. Environmental DNA (eDNA) offers a way to sample genetic material non-invasively without requiring visual observation. While eDNA has been trialed extensively as a biodiversity and biosecurity monitoring tool with a strong taxonomic focus, it has yet to be fully explored as a means for obtaining population genetic information. Here, we review current research that employs eDNA approaches for the study of populations. We outline challenges facing eDNA-based population genetic methodologies, and suggest avenues of research for future developments. We advocate that with further optimizations, this emergent field holds great potential as part of the population genetics toolkit.

Indexed as

BiodiversityDNA Barcoding, TaxonomicDNA, EnvironmentalEndangered SpeciesEnvironmental MonitoringGenetics, PopulationIntroduced SpeciesDNA, EnvironmentalbiodiversityconservationeDNAgeneticsmitochondrial DNAmtDNApopulationssampling methodology

Identifiers

PMID30832286
PMCPMC6470983

What OpenQuestion holds

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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.