Evidence map›Paper›PMID 41999171›Full record

ArticlePest management science2026

Deorphanization of the odorant receptor CsepOR1 identifies a biphasic behavioral modulator in Coccinella septempunctata (Coleoptera: Coccinellidae).

Qi Liang, Mengqing Tang, Jingxuan Wu, Yufeng Qi, Jingyue Chen, Jiali Yang, Yanfen Ma, Hao Guo

Abstract read
In one paragraph

Article 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.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Qi LiangCollege of Life Science, Institute of Life Science and Green Development, Hebei University, Baoding, People's Republic of China.
Mengqing TangCollege of Life Science, Institute of Life Science and Green Development, Hebei University, Baoding, People's Republic of China.
Jingxuan WuCollege of Life Science, Institute of Life Science and Green Development, Hebei University, Baoding, People's Republic of China.
Yufeng QiCollege of Life Science, Institute of Life Science and Green Development, Hebei University, Baoding, People's Republic of China.
Jingyue ChenCollege of Life Science, Institute of Life Science and Green Development, Hebei University, Baoding, People's Republic of China.
Jiali YangCollege of Life Science, Institute of Life Science and Green Development, Hebei University, Baoding, People's Republic of China.
Yanfen MaDepartment of Agronomy and Biological Science, Dehong Normal University, Yunnan, People's Republic of China.
Hao GuoCollege of Life Science, Institute of Life Science and Green Development, Hebei University, Baoding, People's Republic of China.

Funding

Applied Basic Research Joint Project of Yunnan Province of Science and Technology Department and Yunnan University of Chinese Medicine 202001AZ070001-075Department of Education of Hebei Province, China C20230501High-Level Talents Research Start-Up Project of Hebei University 521100223011National Key R&D Program of China 2025YFC2609100National Natural Science Foundation of China 32372627
6 · The paper itself

Abstract

backgroundThe seven-spot ladybird beetle, Coccinella septempunctata, is a key predatory natural enemy widely deployed for biological control of agricultural pests. Olfaction is crucial for prey location and searching, yet the molecular mechanisms of chemoreception in this species remain largely unknown.

resultsAntennal transcriptome analysis identified a repertoire of 24 odorant receptors (ORs), of which CsepOR1 exhibited the highest expression level in the antennae. Quantitative real-time polymerase chain reaction (qPCR) analysis confirmed that CsepOR1 is predominantly expressed in female antennae. Heterologous expression of CsepOR1 in Drosophila T1 neurons, combined with single sensillum recordings, revealed narrow tuning to butyl salicylate among 362 tested odorants. Y-tube olfactometer assays demonstrated that butyl salicylate acts as a strong attractant for female C. septempunctata at low doses (10 μg) but becomes repellent at higher doses (100 μg). Predation assays further showed that 10 μg of butyl salicylate significantly enhances predation efficiency in female ladybirds, whereas higher doses inhibit it.

conclusionThese results represent the first deorphanization of a key odorant receptor in C. septempunctata and identify butyl salicylate as a dose-dependent behavioral modulator with strong potential for applications in conservation biological control. © 2026 Society of Chemical Industry.

Indexed as

ColeopteraInsect ProteinsReceptors, OdorantAnimalsArthropod AntennaeFemalePredatory BehaviorSalicylatesInsect ProteinsReceptors, OdorantSalicylatesattractantsinsect pest managementnatural enemiespredatory insectssingle sensillum recording

Identifiers

PMID41999171
PMCPMC13352244

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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.