In this work, we compare the resolution of V2-V3 and V3-V4 16S rRNA regions for the purposes of estimating microbial community diversity using paired-end Illumina MiSeq reads, and show that the fragment, including V2 and V3 regions, has higher resolution for lower-rank taxa (genera and species). It allows for a more precise distance-based clustering of reads into species-level OTUs. Statistically convergent estimates of the diversity of major species (defined as those that together are covered by 95% of reads) can be achieved at the sample sizes of 10000 to 15000 reads. The relative error of the Shannon index estimate for this condition is lower than 4%.

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.

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BackgroundUral genetic family is a part of the Euro-American lineage of Mycobacterium tuberculosis and is endemic in Northern Eurasia (former Soviet Union [FSU]). These strains were long described as drug susceptible and of low virulence, but recent studies reported an increasing circulation of the multidrug-resistant (MDR) and extensively drug-resistant (XDR) Ural strains. Here, we analyzed all publicly available whole genome sequence data of Ural genotype isolates, in order to elucidate their phylogenomic diversity with a special focus on MDR and potentially epidemic clones.ResultsA total of 149 M. tuberculosis genomes of Ural isolates from FSU countries were mined from the GMTV database and TB-ARC project. We identified 6002 variable amino acid positions that were assessed for functional significance and used to build ML, NJ trees and for Bayesian TMRCA estimation. Three robust monophyletic clades were identified: Clade A (31 isolates from Russia, Belarus, Moldova), Clade B (52 isolates from Russia), and Clade C (37 isolates from Moldova, 2 from Belarus). Clade C was significantly associated with XDR or pre-XDR status compared to the pooled Clades A and B (33/39 versus 5/83, P < 0.0001). Time of origin was estimated for Clade A at 77.7–137 years ago and for Clade B at 56.3–99.2 years ago compared to the significantly more recent origin for Clade C. in silico spoligotyping identified signatures specific of the Clade A (spoligotype SIT35), and Clades B and C (both SIT262).ConclusionsA genetically compact and evolutionarily young Ural Clade C, likely originated after collapse of the Soviet Union, and reached epidemic proportions in Moldova in the last 20 years. This epidemic pre-XDR clone (mostly rifampin, isoniazid and kanamycin resistant) is characterized by a specific combination of mutations: KatG Ser315Thr, fabG1 -15C > T, RpoB Ser450Leu, RpsL Lys88Arg, eis -12G > A and EmbB Ser297Ala/T > G. Its further dissemination may occur towards both Russia and European Union and should be taken into consideration by health authorities. The identified spoligotyping signatures can serve for rapid preliminary detection and surveillance of the more hazardous pre-XDR associated strains of the Ural family, both in populations from countries of their endemic circulation and migrant communities.Electronic supplementary materialThe online version of this article (10.1186/s12864-018-5162-3) contains supplementary material, which is available to authorized users.

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Lake Baikal is a unique oligotrophic freshwater lake with unusually cold conditions and amazing biological diversity. Studies of the lake’s viral communities have begun recently, and their full diversity is not elucidated yet. Here, we performed DNA viral metagenomic analysis on integral samples from four different deep-water and shallow stations of the southern and central basins of the lake. There was a strict distinction of viral communities in areas with different environmental conditions. Comparative analysis with other freshwater lakes revealed the highest similarity of Baikal viromes with those of the Asian lakes Soyang and Biwa. Analysis of new data, together with previously published data allowed us to get a deeper insight into the diversity and functional potential of Baikal viruses; however, the true diversity of Baikal viruses in the lake ecosystem remains still unknown. The new metaviromic data will be useful for future studies of viral composition, distribution, and the dynamics associated with global climatic and anthropogenic impacts on this ecosystem.

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