Project description:We analyzed the transcriptome of A. acutangulus roots by deep RNA sequencing to dig TAs biosynthetic genes. KOG (Eukaryotic Orthologous Groups) and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway enrichment analyses identified 48 unigenes referring to the tropane, piperidine and pyridine alkaloid biosynthesis, 145 unigenes presumably involved in distribution of arginine to TAs biosynthesis, and 86 unigenes referring to the terpenoid backbone biosynthesis. Furthermore, 82 unigenes annotated as cytochrome P450 family members seemed to be involved in secondary metabolism pathways. Previously unknown TAs biosynthetic genes in A. acutangulus, which encode littorine mutase/monooxygenase (CYP80F1) and diamine oxidase (DAO), were identified by this study.
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.