Evidence map›Paper›PMID 42261747›Full record

ArticleMolecular ecology resources2026

Using Metabarcoding Techniques to Map Multiple Dung Beetle-Vertebrate iDNA Networks in a Southeast Asian Forest.

Xin Rui Ong, Rosie Drinkwater, Samuel K S Cheong, Rebecca Ker Loh, Hie Lim Kim, Adriana Lopes Dos Santos, Nalini Puniamoorthy, Eleanor M Slade

Abstract read
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Xin Rui OngAsian School of the Environment, Nanyang Technological University, Singapore.ORCID https://orcid.org/0000-0002-9501-2033
Rosie DrinkwaterFaculty of Veterinary Medicine, Ludwig Maximilian University, Munich, Germany.ORCID https://orcid.org/0000-0001-6892-1664
Samuel K S CheongAsian School of the Environment, Nanyang Technological University, Singapore.
Rebecca Ker LohDepartment of Biological Sciences, National University of Singapore, Singapore.ORCID https://orcid.org/0000-0001-9522-6843
Hie Lim KimAsian School of the Environment, Nanyang Technological University, Singapore.ORCID https://orcid.org/0000-0003-3080-9524
Adriana Lopes Dos SantosSection for Aquatic Biology and Toxicology, Department of Biosciences, University of Oslo, Oslo, Norway.ORCID https://orcid.org/0000-0002-0736-4937
Nalini PuniamoorthyDepartment of Biological Sciences, National University of Singapore, Singapore.ORCID https://orcid.org/0000-0003-0651-8356
Eleanor M SladeAsian School of the Environment, Nanyang Technological University, Singapore.ORCID https://orcid.org/0000-0002-6108-1196

Funding

Nanyang Technological UniversityNational University of SingaporeSingapore Ministry of Education (MOE) Academic Research Fund (AcRF) Tier MOE-T2EP30221-0020Wildlife Reserves Singapore Conservation Fund from Mandai Nature
6 · The paper itself

Abstract

Given the high levels of endemism, diversity, and increasing anthropogenic impacts in tropical regions, studies on species interactions and ecological networks are urgently needed to understand community responses to environmental change. Increasingly, molecular methods are used to monitor biodiversity and identify species interactions. In this study, we developed an optimised DNA metabarcoding protocol to construct quantitative dung beetle-vertebrate trophic networks in a heterogenous tropical forest. We show that while the highest probability of detection is within 3 h of feeding, vertebrate DNA can still be detected in most beetles after 24 h, including around 50% of beetles with visually empty guts. Using the vertebrate taxa detected from DNA in the gut contents, we constructed dung beetle-vertebrate networks across 50 forest sites. Our networks displayed high trophic generalism and nestedness. By using group-specific primers, we documented interactions between dung beetles and multiple vertebrate species, including amphibians, birds, and rare mammals, such as the Sunda slow loris and Sunda pangolin. Our optimised molecular techniques contribute towards the development of new methods for comprehensive biodiversity assessments and ecological network studies that are urgently needed to monitor biodiversity in the hyper-diverse tropics.

Indexed as

ColeopteraDNA Barcoding, TaxonomicAnimalsAsia, SoutheasternBiodiversityForestsTropical Climateconservationecological networksinvertebrate‐derived DNAmetabarcodingScarabaeinaeSoutheast Asiaspecies interactionstropical biodiversity

Identifiers

PMID42261747
PMCPMC13248005

What Socratic 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 Socratic graph.