Omics · study · 2026
Transcriptomic analyses of labial glands and gut tissue from two wax moths, Achroia grisella and Galleria mellonella
Listed in NCBI GEO
Plastics are highly stable materials with widespread applications, but their resistance to degradation poses a significant environmental challenge, often resulting in accumulation in landfills or pollution in the form of microplastics.
Description
Biodegradation using insect larvae has recently emerged as a promising strategy to address this issue, though the molecular basis of plastic degradation in these organisms remains poorly understood due to limited genomic resources.
In this study, we present a complete genome of the lesser wax moth, Achroia grisella, and tissue-specific RNA-Seq data of both the lesser and the greater wax moth, Galleria mellonella, two species known to consume various plastics. Our analyses reveal several highly expressed secretory enzymes in gut and labial tissues. Orthologous comparisons of differentially expressed genes also identified five enzymes (three hexamerins and two monooxygenases) from the lesser wax moth that have been shown or are predicted to have plastic-degrading potential in the greater wax moth.
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We also identified enzymes that may potentially be involved in polyethylene and polystyrene degradation based on their identities with known bacterial enzymes that have been experimentally validated and are involved in plastic degradation pathways. Together, these genomic and transcriptomic resources provide a foundation for understanding plastic degradation in wax moths and highlight candidate genes for future functional validation.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE322nnn/GSE322731 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE322731 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA995347 ncbi.nlm.nih.gov/bioproject/PRJNA995347 ↗
project · from NCBI GEO
- PubMed 42033756 pubmed.ncbi.nlm.nih.gov/42033756 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- RNA sequencing 65%
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE322731 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |