Evidence map›Paper›PMID 40415470›Full record

ArticleInsect science2026

Understanding biological control function and trophic interaction dynamics of an artificially released predatory bug by DNA metabarcoding.

Weidong Huang, Suyi Chen, Zihua Zhao, Chunyan Yang, Anxian Shi, Hu Li, Yuange Duan, Fan Song, Hailin Yang, Wanzhi Cai

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Weidong Huang *State Key Laboratory of Agricultural and Forestry Biosecurity, MOA Key Lab of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University, Beijing, 100193, China.ORCID https://orcid.org/0000-0002-9189-7460
Suyi Chen *State Key Laboratory of Agricultural and Forestry Biosecurity, MOA Key Lab of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University, Beijing, 100193, China.
Zihua ZhaoState Key Laboratory of Agricultural and Forestry Biosecurity, MOA Key Lab of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University, Beijing, 100193, China.ORCID https://orcid.org/0000-0003-2353-2862
Chunyan YangGenome Center of Biodiversity, Kunming Institute of Zoology, Chinese Academy of Science, Kunming, 650201, China.
Anxian ShiGreen Food Development Center of Zhaotong City, Zhaotong, Yunnan Province, 657700, China.
Hu LiState Key Laboratory of Agricultural and Forestry Biosecurity, MOA Key Lab of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University, Beijing, 100193, China.
Yuange DuanState Key Laboratory of Agricultural and Forestry Biosecurity, MOA Key Lab of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University, Beijing, 100193, China.
Fan SongState Key Laboratory of Agricultural and Forestry Biosecurity, MOA Key Lab of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University, Beijing, 100193, China.
Hailin YangYunnan Tobacco Company, Yuxi Branch, Yuxi, Yunnan Province, 653100, China.
Wanzhi CaiState Key Laboratory of Agricultural and Forestry Biosecurity, MOA Key Lab of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University, Beijing, 100193, China.

Funding

2115 Talent Development Program of China Agricultural UniversityExpert Workstation in Zhaotong, YunnanKey Project of Science and Technology Plan of Yunnan Company of China National Tobacco CorporationPests and Diseases Green Prevention and Control Major Special Project
6 · The paper itself

Abstract

Understanding the dietary habits of generalist invertebrate predators in agroecosystems helps improve ecosystem programs, particularly for integrated pest management. Augmentation biological control, one of three widely accepted biological pest control methods, involves releasing a large number of natural enemies to quickly reduce damaging pest populations. However, the effectiveness of these natural enemies against target pests and their effects on nontarget pests in agricultural landscapes remain unknown. This study aimed to investigate the dietary composition of Sycanus bifidus, a generalist predator of the assassin bug that is artificially released into citrus orchards, and uncover its trophic structure across various pest species using metabarcoding-based molecular gut content analysis. We detected 30 different prey taxa from 8 orders and 19 families in 108 samples of S. bifidus recaptured over 22 d. Lepidoptera (9) made up 30% of their diet, followed by Coleoptera (5), Hemiptera (5), and Hymenoptera (5). Euproctis varians, a major lepidopteran citrus pest, was frequently found in the gut of S. bifidus with a high incidence and relative read abundance, suggesting its potential as an effective biological control agent for E. varians in citrus crops. Additionally, our findings showed that the choice of primer pair critically influenced the efficiency of diet detection, with the Fwh primer set being ideal for targeting highly degraded DNA in insect guts. This study demonstrated that metabarcoding is a valuable tool for studying predator diets, reconstructing trophic interactions in agricultural landscapes, optimizing pest management strategies, and identifying effective biological control agents.

Indexed as

Food ChainHeteropteraPest Control, BiologicalAnimalsCitrusColeopteraDietDNA Barcoding, TaxonomicHemipteraPredatory Behavioragroecosystemsbiological controlgeneralist invertebrate predatorsmetabarcodingpests

Identifiers

PMID40415470
PMCPMC13440990

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.