Panagiota Fragkou, Ioannis Martakos, Georgia Rouni, Demetrios Vasilakos, Evangelos Koutsoukos, Alesssio Saviane, Silvia Cappellozza, Nikolaos S Thomaidis, Marios G Kostakis, Martina Samiotaki, Sotiris Kotsiantis, Mariana Barcenas, Skarlatos G Dedos
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In this study we combined phenomics, proteomics, metabolomics and lipidomics analyses of historical and contemporary Bombyx mori cocoon shells to case-study the human-driven introduction and diversification of this species in Europe. Prompted by recent findings on the genomic variability that underlies the ancestry and cocoon shell colour of this species, we carried out optical and fluorescence imaging analysis of 148 cocoons shells to identify overt and covert phenotypic traits and employed LC-MS/MS analyses protocols for 80 cocoon shell samples to identify that the cocoon shell of this species contains on average 98 ± 13 (Mean ± SD) proteins, while we identified 141 metabolites and 981 lipids. We validated these generated datasets through multiple validation protocols, through a series of dimensionality reduction methods and clustering algorithms and through narratives from historical archives and manuscripts. Our multiomics datasets provide a valuable foundation for advancing further exploitations of silkworm cocoon shells in multiple scientific perspectives.
期刊介绍:
Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data.
The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.