Evidence map›Paper›PMID 40415509›Full record

ArticleInsect science2026

Early detection and tracking of wood borers using improved environmental DNA aggregation and TaqMan quantitative PCR approaches in forests.

Jingyu Qi, Xiaomeng Gao, Junke Nan, Agbessenou Ayaovi, Mengqin Zhao, Jiangbin Fan, Hong He

Abstract read
In one paragraph

Article in Insect science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Jingyu QiKey Laboratory of National Forestry and Grassland Administration for Control of Forest Biological Disasters in Western China, College of Forestry, Northwest A&F University, Yangling, Shaanxi Province, China.ORCID https://orcid.org/0009-0000-2642-247X
Xiaomeng GaoKey Laboratory of National Forestry and Grassland Administration for Control of Forest Biological Disasters in Western China, College of Forestry, Northwest A&F University, Yangling, Shaanxi Province, China.
Junke NanKey Laboratory of Plant Protection Resources and Pest Management of Ministry of Education, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi Province, China.
Agbessenou AyaoviJulius Kühn Institute (JKI) - Federal Research Center for Cultivated Plants, Institute for Biological Control, Dossenheim, Germany.
Mengqin ZhaoKey Laboratory of National Forestry and Grassland Administration for Control of Forest Biological Disasters in Western China, College of Forestry, Northwest A&F University, Yangling, Shaanxi Province, China.
Jiangbin FanKey Laboratory of National Forestry and Grassland Administration for Control of Forest Biological Disasters in Western China, College of Forestry, Northwest A&F University, Yangling, Shaanxi Province, China.
Hong HeKey Laboratory of National Forestry and Grassland Administration for Control of Forest Biological Disasters in Western China, College of Forestry, Northwest A&F University, Yangling, Shaanxi Province, China.ORCID https://orcid.org/0000-0001-8267-3855

Funding

China Postdoctoral Science Foundation funded Project 2022M712602The Forestry Science and Technology Innovation Project of Shaanxi Province SXLK2021-0101The Special Fund of Shaanxi Provincial Forest Pest Control and Quarantine Station 20191217000008The Special Fund of Shaanxi Provincial Forest Pest Control and Quarantine Station 20191217000009
6 · The paper itself

Abstract

The increased number of invasive harmful organisms has exacerbated ecosystem damage. Early monitoring and timely control measures are urgently needed. Although environmental DNA (eDNA) application for monitoring aquatic organisms is well-established, its use in terrestrial monitoring remains limited, particularly for cryptic wood-borer pests like Monochamus alternatus, the primary vector of pine wilt disease. We developed and validated quantitative real-time polymerase chain reaction detection assays using TaqMan probes, targeting conserved regions of the ribosomal DNA (rDNA) internal transcribed spacer 1 and D2-D3 expansion segments of the 28S rDNA. eDNA surveys were conducted using the optimization of sample collection methods, effectively tracking M. alternatus in both laboratory and field environments. Laboratory tests revealed M. alternatus presence could be detected in emergence holes over 35 d, as well as in fresh oviposition scars from 1 to 7 d. The concentration of eDNA significantly decreased with the prolongation of sample storage time. Additionally, 3 novel eDNA aggregation approaches were developed to enhance detection sensitivity of wood-borer pests in forests: (i) rinsing aggregation, which gathers eDNA from the vicinity of emergence holes; (ii) wet cotton ball dipping, mainly used to collect residual eDNA in the oviposition scars and emergence holes; and (iii) natural predators, where M. alternatus can be identified by collecting ants on the surface of pine trunks. The results demonstrate the effectiveness and high sensitivity of the eDNA approach for M. alternatus monitoring. These findings provide valuable insights for early detection efforts and can serve as a reference for similar eDNA surveys targeting other wood-boring pests.

Indexed as

ColeopteraDNA, EnvironmentalEnvironmental MonitoringReal-Time Polymerase Chain ReactionAnimalsForestsDNA, Environmentalenvironmental DNAinvasive pestsmonitoring strategyMonochamus alternatusTaqMan qPCRwood‐borer pests

Identifiers

PMID40415509
PMCPMC13441024

What OpenQuestion holds

Textmetadata
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.