Evidence map›Paper›PMID 36405018›Full record

ArticlePeerJ2022

A manager's guide to using eDNA metabarcoding in marine ecosystems.

Zachary Gold, Adam R Wall, Teia M Schweizer, N Dean Pentcheff, Emily E Curd, Paul H Barber, Rachel S Meyer, Robert Wayne, Kevin Stolzenbach, Kat Prickett and 2 more

Abstract read
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

12 authors.

Zachary GoldDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA, United States of America.
Adam R WallDiversity Initiative for the Southern California Ocean (DISCO), Natural History Museum of Los Angeles County, Los Angeles, CA, United States of America.
Teia M SchweizerDepartment of Fish and Wildlife Conservation Biology, Colorado State University, Fort Collins, CO, United States of America.
N Dean PentcheffDiversity Initiative for the Southern California Ocean (DISCO), Natural History Museum of Los Angeles County, Los Angeles, CA, United States of America.
Emily E CurdDepartment of Natural Sciences, Landmark College, Putney, VT, United States of America.
Paul H BarberDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA, United States of America.
Rachel S MeyerDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA, United States of America.
Robert WayneDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA, United States of America.
Kevin StolzenbachWood Environment and Infrastructure, Inc., San Diego, CA, United States of America.
Kat PrickettPort of Los Angeles, Los Angeles, CA, United States of America.
Justin LuedyPort of Long Beach, Long Beach, CA, United States of America.
Regina WetzerDiversity Initiative for the Southern California Ocean (DISCO), Natural History Museum of Los Angeles County, Los Angeles, CA, United States of America.

Funding

Howard Hughes Medical Institute GT10483
6 · The paper itself

Abstract

Environmental DNA (eDNA) metabarcoding is a powerful tool that can enhance marine ecosystem/biodiversity monitoring programs. Here we outline five important steps managers and researchers should consider when developing eDNA monitoring program: (1) select genes and primers to target taxa; (2) assemble or develop comprehensive barcode reference databases; (3) apply rigorous site occupancy based decontamination pipelines; (4) conduct pilot studies to define spatial and temporal variance of eDNA; and (5) archive samples, extracts, and raw sequence data. We demonstrate the importance of each of these considerations using a case study of eDNA metabarcoding in the Ports of Los Angeles and Long Beach. eDNA metabarcoding approaches detected 94.1% (16/17) of species observed in paired trawl surveys while identifying an additional 55 native fishes, providing more comprehensive biodiversity inventories. Rigorous benchmarking of eDNA metabarcoding results improved ecological interpretation and confidence in species detections while providing archived genetic resources for future analyses. Well designed and validated eDNA metabarcoding approaches are ideally suited for biomonitoring applications that rely on the detection of species, including mapping invasive species fronts and endangered species habitats as well as tracking range shifts in response to climate change. Incorporating these considerations will enhance the utility and efficacy of eDNA metabarcoding for routine biomonitoring applications.

Indexed as

DNA, EnvironmentalEcosystemBiodiversityDNA Barcoding, TaxonomicEnvironmental MonitoringDNA, EnvironmentalAssessmentBiodiversityBiomonitoringeDNAManagementMarineMetabarcodingPrimer setProtocolSite occupancy

Identifiers

PMID36405018
PMCPMC9673773

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.