Project description:Cyanobacteria are highly promising microorganisms in forthcoming biotechnologies. Besides the systematic development of molecular tools for genetic engineering, the design of chassis strains and novel reactor concepts are in focus. The latter includes capillary biofilm reactors (CBR), which offer a high surface area-to-volume ratio and very high cell densities. In this context, Tolypothrix sp. PCC 7712 was found to be highly suited for this reactor system due to maximal surface coverage, extraordinarily strong biofilm attachment, and high biomass formation. Here, we provide the genome sequence of Tolypothrix sp. PCC 7712 to potentially allow targeted strain engineering. Surprisingly, it was almost identical to an available incomplete genome draft of Tolypothrix sp. PCC 7601. Thus, we completely sequenced this strain as well and compared it in detail to strain PCC 7712. Comparative genome analysis revealed 257 and 80 unique protein-coding sequences for strains PCC 7601 and PCC 7712, respectively. Clustering genomes based on average nucleotide identity (ANI) and 16S rRNA homology showed 99.98% similarity and only minor distance, respectively, between the two strains in contrast to 21 other cyanobacterial genomes. Despite these high similarities, both strains differ in the ability to fix atmospheric nitrogen and show specific sequence variations, which are discussed in the paper.
Project description:Application of genome-scale 'omics approaches to dissect subcellular pathways and regulatory networks governing the fast-growing response of Synechococcus sp. PCC 7002 response to variable irradience levels. We employed controlled cultivation and next-generation sequencing technology to identify transcriptional responses of euryhaline unicellular cyanobacterium Synechococcus sp. PCC 7002 grown under steady state conditions at six irradiance levels ranging from 33 to 760 µmol photons m-2 sec-1.
Project description:Application of genome-scale 'omics approaches to dissect subcellular pathways and regulatory networks governing the fast-growing response of Synechococcus sp. PCC 7002 response to variable irradience levels.
Project description:Proteogenomics analysis was employed to refine the genome annotation and provide new insights into nitrogen metabolism of Nostoc sp. PCC 7120.