Evidence map›Paper›PMID 42387629›Full record

ReviewPest management science2026

Insect phototransduction: illuminating pathways to precision Pest management.

Shuxin Chai, Yuwen Chen, Xingrun Pan, Xuebo Song, Yali V Zhang, Chengwang Sheng

Abstract readReview
In one paragraph

Review in Pest management 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

6 authors.

Shuxin ChaiKey Laboratory of Agro-Products Quality and Biosafety (Ministry of Education); Department of Pesticide Science, Anhui Agricultural University, Hefei, China.
Yuwen ChenKey Laboratory of Agro-Products Quality and Biosafety (Ministry of Education); Department of Pesticide Science, Anhui Agricultural University, Hefei, China.
Xingrun PanKey Laboratory of Agro-Products Quality and Biosafety (Ministry of Education); Department of Pesticide Science, Anhui Agricultural University, Hefei, China.
Xuebo SongMonell Chemical Senses Center, Philadelphia, PA, USA.
Yali V ZhangMonell Chemical Senses Center, Philadelphia, PA, USA.
Chengwang ShengKey Laboratory of Agro-Products Quality and Biosafety (Ministry of Education); Department of Pesticide Science, Anhui Agricultural University, Hefei, China.ORCID https://orcid.org/0000-0002-0035-1690

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insects rely on their visual systems to perform critical behaviors such as host location and phototaxis, and phototransduction, the conversion of photons into electrical signals, constitutes the core mechanism underlying visual function. Most research focuses on model insects like fruit flies, while common agricultural pests remain underexplored. This review integrates current knowledge of insect visual phototransduction to identify molecular and neural targets for precision pest management. This review systematically outlines the complete phototransduction pathway in insect vision: compound eyes and visual lobes exhibit structural specialization adapted to different ecological niches; rhodopsin synthesis and opsin diversity form the molecular foundation; the 'opsin-phospholipase-transient receptor potential channels' pathway and histamine-acetylcholine dual-transmitter branching achieve signal cascading and functional differentiation. Current research has led to the development of three environmentally friendly pest control technologies, first, vision-based traps that capture pests by optimizing spectral, polarization, and color properties of materials; second, molecular tools such as CRISPR/Cas9, RNA interference, and anti-sense DNA to target visual genes; and third, multimodal devices that combine sensory synergy with smart optical technologies for physical interception. Existing vision-based pest control methods still face significant limitations in field applications and tend to be highly species-specific. Future efforts should integrate basic vision research with practical applications to drive the transition from chemical dependency to ecologically friendly and precision pest management. © 2026 Society of Chemical Industry.

Indexed as

InsectaInsect ControlLight Signal TransductionVision, OcularAnimalshistaminergic neuronopsinPest managementphototransductionvisual lobes

Identifiers

PMID42387629
PMCPMC13569135

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.