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Abstract <p>This study is the first to identify patterns in the taxonomic composition of microbial communities across different ecosystems in the Alginsky hydro-mineral natural complex, located in the Barguzin Depression in the Baikal Rift Zone by using high-throughput sequencing of variable regions of the 16S rRNA gene. The phyla <i>Bacteroidota</i> (11.3–30.1%), <i>Desulfobacterota</i> (2.0–7.9%), and <i>Pseudomonadota</i> (19.0–45.6%) were dominant in the communities of bottom sediments. At the family level, representatives of <i>Comamonadaceae</i> (0.3–5.1%), <i>Desulfocapsaceae</i> (0.2–1.7%), and <i>Desulfosarcinaceae</i> (0.2–4.3%) were found in all four biotopes. These families appear to form the core of the Alginsky hydro-mineral natural complex. In addition, a correlation between the distribution of dominant families and their habitats was demonstrated with respect to the gradients of environmental factors.</p>

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Structure of the Prokaryotic Community in Bottom Sediments of the Alginsky Hydro-Mineral Natural Complex (Barguzin Depression, Russia)

  • 期刊论文

  • 发表日期：

    2025年4月1日

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  • E. V. Lavrentyeva,
  • E. P. Nikitina,
  • T. G. Banzaraktsaeva,
  • V. B. Dambaev,
  • A. Y. Merkel

摘要

Abstract

This study is the first to identify patterns in the taxonomic composition of microbial communities across different ecosystems in the Alginsky hydro-mineral natural complex, located in the Barguzin Depression in the Baikal Rift Zone by using high-throughput sequencing of variable regions of the 16S rRNA gene. The phyla Bacteroidota (11.3–30.1%), Desulfobacterota (2.0–7.9%), and Pseudomonadota (19.0–45.6%) were dominant in the communities of bottom sediments. At the family level, representatives of Comamonadaceae (0.3–5.1%), Desulfocapsaceae (0.2–1.7%), and Desulfosarcinaceae (0.2–4.3%) were found in all four biotopes. These families appear to form the core of the Alginsky hydro-mineral natural complex. In addition, a correlation between the distribution of dominant families and their habitats was demonstrated with respect to the gradients of environmental factors.