Analysis of Predicted Amino Acid Sequences of Diatom Microtubule Center Components

Diatoms synthesize species-specific exoskeletons inside cells under the control of the cytoskeleton and microtubule center. Previous studies have been conducted with the visualization of the microtubule center; however, its composition has not been studied and reliably established. In the present study, several components of MTOC in diatoms, GCP (gamma complex proteins), Aurora A, and centrins have been identified. Analysis of the predicted amino acid sequences of these proteins revealed structural features typical for diatoms. We analyzed the conserved amino acids and the motives necessary for the functioning of proteins. Phylogenetic analysis of GCP showed that all major groups of diatoms are distributed over phylogenetic trees according to their systematic position. This work is a theoretical study; however, it allows drawing some conclusions about the functioning of the studied components and possible ways to regulate them

A family of silicon transporter structural genes in a pennate diatom Synedra ulna subsp. danica (Kütz.) Skabitsch.

Silicon transporters (SIT) are the proteins, which capture silicic acid in the aquatic environment and direct it across the plasmalemma to the cytoplasm of diatoms. Diatoms utilize silicic acid to build species-specific ornamented exoskeletons and make a significant contribution to the global silica cycle, estimated at 240 ±40 Tmol a year. Recently SaSIT genes of the freshwater araphid pennate diatom Synedra acus subsp. radians are found to be present in the genome as a cluster of two structural genes (SaSIT-TD and SaSIT-TRI) encoding several concatenated copies of a SIT protein each. These structural genes could potentially be transformed into "mature" SIT proteins by means of posttranslational proteolytic cleavage. In the present study, we discovered three similar structural SuSIT genes in the genome of a closely related freshwater diatom Synedra ulna subsp. danica. Structural gene SuSIT1 is identical to structural gene SuSIT2, and the two are connected by a non-coding nucleotide DNA sequence. All the putative "mature" SITs contain conserved amino acid motifs, which are believed to be important in silicon transport. The data obtained suggest that the predicted "mature" SIT proteins may be the minimal units necessary for the transport of silicon is S. ulna subsp. danica. The comparative analysis of all available multi-SITs has allowed us to detect two conservative motifs YQXDXVYL and DXDID, located between the "mature" proteins. Aspartic acid-rich DXDID motif can, in our opinion, serve as a proteolysis site during the multi-SIT cleavage. The narrow distribution of the distances between CMLD and DXDID motifs can serve as additional evidence to the conservation of their function

The structure of microbial community and degradation of diatoms in the deep near-bottom layer of Lake Baikal.

Insight into the role of bacteria in degradation of diatoms is important for understanding the factors and components of silica turnover in aquatic ecosystems. Using microscopic methods, it has been shown that the degree of diatom preservation and the numbers of diatom-associated bacteria in the surface layer of bottom sediments decrease with depth; in the near-bottom water layer, the majority of bacteria are associated with diatom cells, being located either on the cell surface or within the cell. The structure of microbial community in the near-bottom water layer has been characterized by pyrosequencing of the 16S rRNA gene, which has revealed 149 208 unique sequences. According to the results of metagenomic analysis, the community is dominated by representatives of Proteobacteria (41.9%), Actinobacteria (16%); then follow Acidobacteria (6.9%), Cyanobacteria (5%), Bacteroidetes (4.7%), Firmicutes (2.8%), Nitrospira (1.6%), and Verrucomicrobia (1%); other phylotypes account for less than 1% each. For 18.7% of the sequences, taxonomic identification has been possible only to the Bacteria domain level. Many bacteria identified to the genus level have close relatives occurring in other aquatic ecosystems and soils. The metagenome of the bacterial community from the near-bottom water layer also contains 16S rRNA gene sequences found in previously isolated bacterial strains possessing hydrolytic enzyme activity. These data show that potential degraders of diatoms occur among the vast variety of microorganisms in the near-bottom water of Lake Baikal

Candidate Genes and Proteomic Biomarkers of Serum and Urine in Medication-Overuse Headache

Chronic headache is a topical problem of neurology, psychiatry and general practice. The medication-overuse headache (MOH) is one of the leading pathologies in the structure of chronic headache. However, early diagnosis of the MOH is challenging. We analyzed potential proteomic biomarkers of serum and urine in patients with MOH. Methods: We searched PubMed, Springer, Scopus, Web of Science, ClinicalKey, and Google Scholar databases for English publications over the past 10 years using keywords and their combinations. Results: We found and analyzed seven studies that met the search criteria for the purpose of the review, including 24 serum proteomic biomarkers and 25 urine proteomic biomarkers of MOH. Moreover, the candidate genes and locus of the studied serum (vitamin D-binding protein, lipocalin-type prostaglandin D2 synthase, apolipoprotein E, etc.) and urine proteomic biomarkers (uromodulin, alpha-1-microglobulin, zinc-alpha-2-glycoprotein, etc.) of MOH are presented in this review. Conclusions: The serum and urine proteomic biomarkers of MOH can potentially help with the identification of patients with MOH development. Due to the relevance of the problem, the authors believe that further investigation of the MOH proteomic biomarkers in different ethnic and racial groups of patients with primary headache is necessary. In addition, it is important to investigate whether medications of different drug classes influence the levels of serum and urine proteomic biomarkers

Diversity of <i>Archaea</i> in Bottom Sediments of the Discharge Areas With Oil- and Gas-Bearing Fluids in Lake Baikal

<p>Using massively parallel sequencing (the Roche 454 platform) we have studied the diversity of archaeal 16S rRNA gene sequences in oxic and anoxic sediments at six sites in Lake Baikal with oil- and gas-bearing fluids discharge. Archaeal communities appeared to be represented mainly by five phyla: <i>Euryarchaeota, Crenarchaeota, Thaumarchaeota, Bathyarchaeota</i> (miscellaneous Crenarchaeotic group), and <i>Woesearchaeota</i> (deep sea hydrothermal vent group 6). Among them we detected sequences of methanogens of the orders <i>Methanomicrobiales, Methanosarsinales, Methanococcales</i>, as well as representatives of the following uncultured archaeal lineages: Group C3, Marine Benthic Group D, and Terrestrial Miscellaneous Group. We have also identified sequences of ammonia-oxidizing archaea of the phyla <i>Crenarchaeota</i> and <i>Thaumarchaeota</i>. Phylogenetic analysis showed the presence ANME-2d-related sequences. However, the analysis of <i>mcr</i>A genes libraries has not revealed typical representatives of ANME groups. Comparison of amplicon libraries 16S rRNA gene fragments from different samples proved the widespread presence of previously detected Baikal archaeal lineages, which are members of the phylum <i>Crenarchaeota</i> and <i>Thaumarchaeota</i> (formerly Group C3 of <i>Crenarchaeota</i>).</p

Changes in the degree of preservation of diatom frustules in different layers of Lake Baikal bottom sediments.

<p>(A, B) 0–1 cm. (C, D) 2–3 cm. (E, F) 6–7 cm. Scale bars: (A, C, E) 100 µm; (B, D, F) 10 µm.</p

Bacterial isolates associated with the laboratory culture of <i>S. acus.</i>

<p><i> A. johnsonii</i> BW65UT1570 (A, F), <i>M. adhaesivum</i> BW66UT1570 (B), <i>A. tumefaciens</i> BW62UT1570 (D). The degradated siliceous frustules of diatom <i>S. acus</i> in cocultures with <i>B. simplex</i> BW64UT1570 (C), <i>A. johnsonii</i> BW65UT1570 (E). Axenic culture <i>S. acus</i> (G). Epifluorescent microscopy, DAPI staining (A, B); scanning electron microscopy (D, E, F, G). Scale bar: A, B and G, 50 µm; C, 40 µm; D, 10 µm; E, F, 5 µm.</p

Sample coverage, species richness and species diversity indices.

<p>Sample coverage, species richness and species diversity indices.</p

Vertical distribution of microorganisms in bottom sediments of Lake Baikal.

<p>(1) Number of diatom-associated bacteria, (2) total number of microorganisms.</p