Evidence map›Paper›PMID 40383784›Full record

ArticleBMC genomics2025

Transcriptome sequencing of Antheraea pernyi antennae for identification of olfactory-related genes.

Xueting Liu, Shuwei Ma, Xinxue Zhang, Xue Li, Lei Nie, Guobao Wang

Abstract read
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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.

Xueting LiuCollege of Biology and Oceanography, Weifang University, No.5147 Dongfeng East Street, Weifang, 261061, China.
Shuwei MaCollege of Biology and Oceanography, Weifang University, No.5147 Dongfeng East Street, Weifang, 261061, China.
Xinxue ZhangCollege of Biology and Oceanography, Weifang University, No.5147 Dongfeng East Street, Weifang, 261061, China.
Xue LiCollege of Biology and Oceanography, Weifang University, No.5147 Dongfeng East Street, Weifang, 261061, China.
Lei NieShandong Sericulture Research Institute, Shandong Academy of Agricultural Sciences, Yantai, 264002, China.
Guobao WangCollege of Biology and Oceanography, Weifang University, No.5147 Dongfeng East Street, Weifang, 261061, China. gbwang0216@163.com.

Funding

Agricultural Science and Technology Innovation Project of Shandong Academy of Agricultural Sciences CXGC2022B02Youth Innovation Team Project in Institutions of Higher Learning of Shandong Province 2022KJ259
6 · The paper itself

Abstract

backgroundIn insects, the olfactory system governs physiological and behavioral processes by detecting various odorous molecules. Despite its economic importance and adaptability, the olfactory mechanism of Antheraea pernyi remains insufficiently understood, limiting its potential for pest management and as a model organism. Hence, we aimed to conduct transcriptome sequencing to explore olfactory-related genes in the antennae, serving as the most important olfactory organ in adult A. pernyi.

resultsBased on the datasets, 1184 differently expressed genes (DEGs), including 484 upregulated and 700 downregulated genes, were identified by comparing the transcriptome profiles of the male and female antennae of A. pernyi. Moreover, 20, 7, 30, 11, and 2 candidate genes encoding odorant-binding proteins (OBPs), chemosensory proteins (CSPs), odorant receptors (ORs), ionotropic receptors (IRs), and sensory neuron membrane proteins (SNMPs), respectively, involved in pheromone perception, odor binding, pesticide resistance, and growth and development regulation were screened, and most of which were expressed in both male and female antennae while the expression levels of these candidate genes varied significantly between males and females. Multiple sequence alignment indicated that the six OBPs exhibited typical characteristics, containing six conserved Cys residues with the sequence of C1-X

conclusionThis study enriches the olfactory gene database of A. pernyi, providing insights into olfactory mechanisms crucial for mating and pest control, with implications for enhancing breeding strategies and ensuring the sustainability of the silk industry. These findings may serve as a theoretical foundation for a better understanding of the olfactory mechanisms of A. pernyi.

Indexed as

Arthropod AntennaeInsect ProteinsMothsSmellTranscriptomeAnimalsFemaleGene Expression ProfilingMaleReceptors, OdorantInsect Proteinsodorant-binding proteinReceptors, OdorantAntennaeAntheraea pernyiBioinformatics analysisOlfactory-related genesTranscriptome

Identifiers

PMID40383784
PMCPMC12087209

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LicenceCC BY-NC-ND
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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.