Project description:we used high-throughput Illumina Genome Analyzer IIx (GAIIx) technology to sequence the small RNA transcriptomes of the mangrove species, Avicennia marina. Based on sequence similarity or the secondary structure of precursors, we have identified 193 conserved miRNAs and 26 novel miRNAs in the small RNA transcriptome of Avicennia marina.
Project description:In this study, we investigated the metabolic potential of N. marina based on its complete genome sequence and performed physiological experiments to test genome-derived hypotheses. Our data confirm that N. marina benefits from additions of undefined organic carbon substrates, has adaptations to resist oxidative, osmotic and UV light-induced stress and low dissolved pCO2. Additionally, N. marina is able to grow chemoorganotrophically on formate, and is thus not an obligate chemolithoautotroph. We further investigated the metabolic response of N. marina to low (5.6 µM) O2 concentrations. In response to O2-limited conditions, the abundance of a potentially more efficient CO2-fixing pyruvate:ferredoxin oxidoreductase (POR) complex and a high-affinity cbb3-type terminal oxidase increased, suggesting a role in sustaining nitrite oxidation-driven autotrophy under O2 limitation.
Project description:we used high-throughput Illumina Genome Analyzer IIx (GAIIx) technology to sequence the small RNA transcriptomes of the mangrove species, Avicennia marina. Based on sequence similarity or the secondary structure of precursors, we have identified 193 conserved miRNAs and 26 novel miRNAs in the small RNA transcriptome of Avicennia marina. 1 sample
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.
