Evidence map›Paper›PMID 41649713›Full record

ReviewCrop health2025

Harnessing semiochemicals for parasitoid-based biological control: from laboratory identification to field applications.

Hao Guo, Chen-Zhu Wang

Abstract readReview
In one paragraph

Review in Crop health, 2025. 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. Review
  2. Review
  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

2 authors.

Hao GuoCollege of Life Science, Institute of Life Science and Green Development, Hebei University, Baoding, China.
Chen-Zhu WangShanxi Key Laboratory of Nucleic Acid Biopesticides, School of Synthetic Biology, School of Life Science, Shanxi University, Taiyuan, China. czwang@ioz.ac.cn.ORCID http://orcid.org/0000-0003-0418-8621

Funding

National Natural Science Foundation of China 32130090National Natural Science Foundation of China 32372541National Natural Science Foundation of China 32372627
6 · The paper itself

Abstract

Parasitoids are vital biological control agents in agricultural pest management, with mating and parasitism as their core behaviors essential for reproduction and survival. In recent decades, advanced analytical techniques, such as gas chromatography-electroantennographic detection (GC-EAD), have enabled the identification of key semiochemicals that regulate parasitoid behavior. Notably, studies on Campoletis chlorideae (Hymenoptera: Ichneumonidae) have elucidated the mechanisms of sex pheromone communication, advancing our understanding of pheromonal signaling in parasitoids. Moreover, plant-derived synomones and host-derived kairomones serve as pivotal chemical cues for host location, underpinning tritrophic (plant-pest-parasitoid) interactions. The functional characterization of olfactory receptors tuned to herbivore-induced plant volatiles and kairomones, achieved through ectopic expression systems, has further clarified the molecular mechanism underlying semiochemical-mediated behaviors. Synthetic biology offers promising avenues for manipulating parasitoid behavior by leveraging genetic and metabolic engineering of plants and yeast to release critical synomones and kairomones, thereby improving parasitoid recruitment. This review synthesizes the role of semiochemicals in mediating parasitoid behaviors, evaluates methodologies for behavioral manipulation, and explores the potential and limitations of integrating synthetic biology with semiochemicals to advance sustainable pest management.

Indexed as

Biological controlParasitoidsSemiochemicalsSynthetic biologyTritrophic interactions

Identifiers

PMID41649713
PMCPMC12825999

What OpenQuestion holds

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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.