The pelagic zone of Lake Baikal is an ecological niche where phytoplankton bloom causes increasing microbial abundance in spring which plays a key role in carbon turnover in the freshwater lake. Co-occurrence patterns revealed among different microbes can be applied to predict interactions between the microbes and environmental conditions in the ecosystem. We used 454 pyrosequencing of 16S rRNA and 18S rRNA genes to study bacterial and microbial eukaryotic communities and their co-occurrence patterns at the pelagic zone of Lake Baikal during a spring phytoplankton bloom. We found that microbes within one domain mostly correlated positively with each other and are highly interconnected. The highly connected taxa in co-occurrence networks were operational taxonomic units (OTUs) of Actinobacteria, Bacteroidetes, Alphaproteobacteria, and autotrophic and unclassified Eukaryota which might be analogous to microbial keystone taxa. Constrained correspondence analysis revealed the relationships of bacterial and microbial eukaryotic communities with geographical location.

The composition of bacterial communities in Lake Baikal in different hydrological periods and at different depths (down to 1515 m) has been analyzed using pyrosequencing of the 16S rRNA gene V3 variable region. Most of the resulting 34 562 reads of the Bacteria domain have clustered into 1693 operational taxonomic units (OTUs) classified with the phyla Proteobacteria, Actinobacteria, Chloroflexi, Bacteroidetes, Firmicutes, Acidobacteria and Cyanobacteria. It has been found that their composition at the family level and relative contributions to bacterial communities distributed over the water column vary depending on hydrological period. The number of OTUs and the parameters of taxonomic richness (ACE, Chao1 indices) and diversity (Shannon and inverse Simpson index) reach the highest values in water layers. The composition of bacterial communities in these layers remains relatively constant, whereas that in surface layers differs between hydrological seasons. The dynamics of physicochemical conditions over the water column and their relative constancy in deep layers are decisive factors in shaping the pattern of bacterial communities in Lake Baikal.

The first two mitochondrial genomes of marine diatoms were previously reported for the centric Thalassiosira pseudonana and the raphid pennate Phaeodactylum tricornutum. As part of a genomic project, we sequenced the complete mitochondrial genome of the freshwater araphid pennate diatom Synedra acus. This 46,657 bp mtDNA encodes 2 rRNAs, 24 tRNAs, and 33 proteins. The mtDNA of S. acus contains three group II introns, two inserted into the cox1 gene and containing ORFs, and one inserted into the rnl gene and lacking an ORF. The compact gene organization contrasts with the presence of a 4.9-kb-long intergenic region, which contains repeat sequences. Comparison of the three sequenced mtDNAs showed that these three genomes carry similar gene pools, but the positions of some genes are rearranged. Phylogenetic analysis performed with a fragment of the cox1 gene of diatoms and other heterokonts produced a tree that is similar to that derived from 18S RNA genes. The introns of mtDNA in the diatoms seem to be polyphyletic. This study demonstrates that pyrosequencing is an efficient method for complete sequencing of mitochondrial genomes from diatoms, and may soon give valuable information about the molecular phylogeny of this outstanding group of unicellular organisms.