Project description:We present a study combining gene expression analyses and bioinformatic assessment. 1120 sequences annotated as sulfatase encoding from eight Rhodopirellula strains were clustered into 173 groups of orthologous and paralogous genes. A selection of 709 sulfatase gene strains were aligned to 66 sulfatase genes of known function to check for their respective substrate specificity. Thereby, 22 major phylogenetic clusters were observed with just five being mixed clusters between Rhodopirellula and reference sequences. This indicates a huge diversity on the substrate recognition level, unexpected from conventional annotations in public databases. Exemplarily, Rhodopirellula baltica SH1T was grown on different sulfated polysaccharides. Subsequent gene expression analyses using whole genome microarrays revealed distinct sulfatase expression profiles based on substrates tested. Expression profiles strongly point towards a functional link between sulfated polysaccharides and sulfatases. Moreover, further potential functions can be deduced from the expression profiles. In silico assessment backed up in vivo findings and raised the question, whether related strains and species are even more adapted to utilizing sulfated polysaccharides present in marine environments.
Project description:Investigation of whole genome gene expression level changes in Lactococcus lactis KCTC 3769T,L. raffinolactis DSM 20443T, L. plantarum DSM 20686T, L. fujiensis JSM 16395T, L. garvieae KCTC 3772T, L. piscium DSM 6634T and L. chungangensis CAU 28T . This proves that transcriptional profiling can facilitate in elucidating the genetic distance between closely related strains.
Project description:Investigation of whole genome gene expression level changes in Lactococcus lactis KCTC 3769T,L. raffinolactis DSM 20443T, L. plantarum DSM 20686T, L. fujiensis JSM 16395T, L. garvieae KCTC 3772T, L. piscium DSM 6634T and L. chungangensis CAU 28T . This proves that transcriptional profiling can facilitate in elucidating the genetic distance between closely related strains. A one chip study using total RNA recovered from of L. raffinolactis DSM 20443T, L. plantarum DSM 20686T, L. fujiensis JSM 16395T, L. garvieae KCTC 3772T, L. piscium DSM 6634T and L. chungangensis CAU 28T . For the the transcriptome of of L. raffinolactis DSM 20443T, L. plantarum DSM 20686T, L. fujiensis JSM 16395T, L. garvieae KCTC 3772T, L. piscium DSM 6634T and L. chungangensis CAU 28T was analyzed using the Lactococcus lactis KCTC 3769T microarray platform
Project description:The expression profile of C. autoethanogenum DSM 10061 grown autotrophically with H2:CO:CO2 under visible light at an intensity of 4200 lux versus the expression profile of C. autoethanogenum DSM 10061 grown autotrophically in the dark
