ArticleGenes2022
Identification of the Key Pathways and Genes Involved in the Wax Biosynthesis of the Chinese White Wax Scale Insect (
Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Spatiotemporal Multi-Omics and Compartment-Resolved Metabolomic Analyses Reveal the Mechanisms and Core Regulatory Networks of Cuticular Wax Formation in Blueberry Fruits.International journal of molecular sciences · 2026Article
- Identification of key genes associated with overwintering in Histia rhodope larva using gene co-expression network analysis.BMC genomics · 2025Article
- Analysis of the Bacterial Community and Fatty Acid Composition in the Bacteriome of the Lac InsectMicroorganisms · 2025Article
- mir-31 mediated control of bacteriome size in tsetse flies.Current research in insect science · 2025Article
- Proteome-metabolome profiling of wax gland complex reveals functional changes in honeybee,iScience · 2024Article
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- Transcriptome analysis unveils the mechanisms of lipid metabolism response to grayanotoxin I stress inPeerJ · 2023Article
- Candidate genes potentially involved in molting and body size reduction in the male of the horned gall aphid,Frontiers in physiology · 2023Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The white wax secreted by the male insects of the Chinese white wax scale (CWWS) is a natural high-molecular-weight compound with important economic value. However, its regulatory mechanism of wax biosynthesis is still unclear. In this study, a weighted gene coexpression network analysis (WGCNA) was used to analyze transcriptome data of first- and second-instar females, early and late female adults, and first- and second-instar males. A total of 19 partitioned modules with different topological overlaps were obtained, and three modules were identified as highly significant for wax secretion (p < 0.05). A total of 30 hub genes were obtained through screening, among which elongation of very-long-chain fatty acids protein (ELOVL) and fatty acyl-CoA reductase (FAR) are important catalytic enzymes of fatty acid metabolism. Furthermore, their metabolic catalytic products are involved in the synthesis of wax biosynthesis. The results demonstrate that WGCNA can be used for insect transcriptome analysis and effectively screen out the key genes related to wax biosynthesis.
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Registered trials
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