Project description:In this project, the transcriptomic data was obtained from the 6-day and 10-day submerged cultures of Cerrena unicolor sp. 87613 under PDA media, respectively. C.unicolor is reported to be an important medicinal fungus as well as an efficient laccase producer. Interestingly, C.unicolor sp.87613 presented a highest laccase production with ~420 U/mL at fermentation day 6, while the laccase production was reduced by ~27% at fermentation day 10. Therefore, these collected data were used to unveil the potential regulatory mechanism of laccase production. Besides, these transcriptomic data also provide essential data source for a better understanding of C.unicolor in various aspects.
Project description:Analyses of new genomic, transcriptomic or proteomic data commonly result in trashing many unidentified data escaping the ‘canonical’ DNA-RNA-protein scheme. Testing systematic exchanges of nucleotides over long stretches produces inversed RNA pieces (here named “swinger” RNA) differing from their template DNA. These may explain some trashed data. Here analyses of genomic, transcriptomic and proteomic data of the pathogenic Tropheryma whipplei according to canonical genomic, transcriptomic and translational 'rules' resulted in trashing 58.9% of DNA, 37.7% RNA and about 85% of mass spectra (corresponding to peptides). In the trash, we found numerous DNA/RNA fragments compatible with “swinger” polymerization. Genomic sequences covered by «swinger» DNA and RNA are 3X more frequent than expected by chance and explained 12.4 and 20.8% of the rejected DNA and RNA sequences, respectively. As for peptides, several match with “swinger” RNAs, including some chimera, translated from both regular, and «swinger» transcripts, notably for ribosomal RNAs. Congruence of DNA, RNA and peptides resulting from the same swinging process suggest that systematic nucleotide exchanges increase coding potential, and may add to evolutionary diversification of bacterial populations.