Evidence map›Paper›PMID 42360122›Full record

ArticleMolecular ecology resources2026

Comparison of Environmental DNA and Bulk DNA Metabarcoding for Assessing Terrestrial Arthropod Diversity Across Three Habitat Types on Guam.

Pritam Banerjee, Samantha Al-Bayer, Jerilyn Calaor, Sven Weber, Natalie R Graham, Jeremy C Andersen, Evan P Economo, Susan Kennedy, Henrik Krehenwinkel, Rosemary G Gillespie and 3 more

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Molecular ecology resources, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Pritam BanerjeeDepartment of Environmental Science, Policy, and Management, University of California, Berkeley, California, USA.ORCID https://orcid.org/0000-0002-1818-5096
Samantha Al-BayerDepartment of Biology, University of Hawaii at Hilo, Hilo, Hawaii, USA.ORCID https://orcid.org/0009-0003-1141-6589
Jerilyn CalaorDepartment of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, Iowa, USA.ORCID https://orcid.org/0009-0009-9104-9582
Sven WeberDepartment of Environmental Science, Policy, and Management, University of California, Berkeley, California, USA.ORCID https://orcid.org/0000-0002-6876-132X
Natalie R GrahamDepartment of Biology, University of Hawaii at Hilo, Hilo, Hawaii, USA.ORCID https://orcid.org/0000-0001-7704-1132
Jeremy C AndersenDepartment of Environmental Conservation, University of Massachusetts, Amherst, Massachusetts, USA.ORCID https://orcid.org/0000-0002-9273-6490
Evan P EconomoBiodiversity and Biocomplexity Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan.ORCID https://orcid.org/0000-0001-7402-0432
Susan KennedyDepartment of Biogeography, Universität Trier, Trier, Germany.ORCID https://orcid.org/0000-0002-1616-3985
Henrik KrehenwinkelDepartment of Biogeography, Universität Trier, Trier, Germany.ORCID https://orcid.org/0000-0001-5069-8601
Rosemary G GillespieDepartment of Environmental Science, Policy, and Management, University of California, Berkeley, California, USA.ORCID https://orcid.org/0000-0003-0086-7424
George K RoderickDepartment of Environmental Science, Policy, and Management, University of California, Berkeley, California, USA.ORCID https://orcid.org/0000-0001-7557-2415
Haldre S RogersDepartment of Fish and Wildlife Conservation, Virginia Tech, Blacksburg, Virginia, USA.ORCID https://orcid.org/0000-0003-4763-5006
Kenneth P PuliaficoCenter for Environmental Management of Military Lands, Colorado State University, Asan, Guam.ORCID https://orcid.org/0009-0001-5686-4137

Funding

Strategic Environmental Research and Development Program RC21-1034
6 · The paper itself

Abstract

DNA-based methods offer a rapid and cost-effective way for detecting species occurrence and monitoring biodiversity; among them, bulk DNA metabarcoding is well-established, and recently developed environmental DNA (eDNA)-based methods offer a non-lethal alternative. With a goal to develop suitable methods for assessing insect biodiversity for understudied island ecosystems where DNA reference libraries are incomplete, we compared established bulk DNA metabarcoding methods with eDNA across three replicated terrestrial ecosystem types (degraded forest, limestone forest, and grassland) on the island of Guam. Using two mitochondrial COI primer pairs, we performed bulk DNA metabarcoding of standard entomological collection methods (Malaise traps, pan traps, and vegetation beating), and compared the assessment of biodiversity with that from different eDNA sources (flowers, leaves, tree trunks, and spider webs). In our samples, eDNA and bulk DNA metabarcoding both detected a large proportion of overall taxa (OTUs, 86.6% and 60.3%, respectively). Although bulk DNA metabarcoding detected significantly more taxa, eDNA proved to be a reasonable non-lethal alternative. As expected, because of limitations in existing reference databases for understudied systems, species-level identification was achieved for only a few OTUs. Overall, the sampling approach was the dominant driver of arthropod diversity, explaining ~17% of the observed variation, while habitat type accounted for ~4%. Thus, each sampling approach captured some unique diversity and contributed to the complementary effect of maximizing detection. For rapid biodiversity surveys of terrestrial arthropods, we recommend integrating metabarcoding approaches, and in sensitive ecosystems where specimen capture is undesirable, eDNA offers a powerful non-lethal alternative to monitor diversity and community change.

Indexed as

ArthropodsBiodiversityDNA Barcoding, TaxonomicDNA, EnvironmentalEcosystemMetagenomicsAnimalsElectron Transport Complex IVDNA, EnvironmentalElectron Transport Complex IV

Identifiers

PMID42360122
PMCPMC13307638

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.