Aleksei A. Korzhenkov

The phylum Armatimonadota represents one of the least characterized bacterial lineages, with only three formally described species despite its widespread distribution in various environments. Deep subsurface thermal environments harbor significant microbial diversity and represent promising sources for novel enzyme discovery through metagenomic approaches. This study reports the identification, cloning, and biochemical characterization of Cel7465, a novel endoglucanase from an uncultured GBS-DC family within the order Fimbriimonadales. The enzyme was identified through metagenomic analysis of microbial mats from the Biragzang deep thermal well (North Ossetia, Russia, 48 °C) and successfully expressed in cells of Escherichia coli strain ArcticExpress (DE3). Phylogenetic analysis assigned Cel7465 to glycoside hydrolase family 5 subfamily 36. The purified recombinant enzyme exhibited optimal activity at 55 °C and pH 8.0, with high specific activity of 4347 U/mg. The enzyme demonstrated broad pH tolerance (50% activity retained from pH 4.0 to 10.0) and notable thermal stability, retaining 60% activity after one hour at 80 °C and 20% after four hours. Remarkably, the presence of Mn²⁺ ions enhanced enzyme activity more than 7-fold, while Mg²⁺ and Ca²⁺ ions provided moderate activation. Cel7465 represents the first biochemically characterized glycoside hydrolase from the order Fimbriimonadales, expanding our understanding of enzymatic capabilities within the understudied phylum Armatimonadota and demonstrating the continued potential of extreme environments as sources of novel industrial biocatalysts.

The Greater Caucasus is a part of seismically active Alpine–Himalayan orogenic belt and has been a center of significant volcanic activity during the Quaternary period. That led to the formation of the number of hydrothermal habitats, including subterranean thermal aquifers and surface hot springs. However, there are only a limited number of scientific works reporting on the microbial communities of these habitats. Moreover, all these reports concern only studies of specific microbial taxa, carried out using classical cultivation approaches. In this work, we present first culture-independent study of hydrotherms in the Republic of North Ossetia-Alania, located in the southern part of the North Caucasus. Using 16S metabarcoding, we analyzed the composition of the microbial communities of two subterranean thermal aquifers and terrestrial hot springs of the Karmadon valley. Analysis of correlations between the chemical composition of water and the representation of key taxa allowed us to identify the key factors determining the formation of microbial communities. In addition, we were able to identify a significant number of highly abundant deep phylogenetic lineages. Our study represents a first glance on the thermophilic microbial communities of the North Caucasus and may serve as a basis for further microbiological studies of the extreme habitats of this region.