Factors controlling the activity of the microbial community of the alkaline Lake Beloe (Transbaikal Region)

• Published in: Microbiology (New York) Vol. 81; no. 4; pp. 468 - 476
• Main Authors: Zaitseva, S. V., Abidueva, E. Yu, Buryukhaev, S. P., Namsaraev, B. B.
• Format: Journal Article
• Language: English
• Published: Dordrecht SP MAIK Nauka/Interperiodica 01-07-2012
• Subjects: Biomedical and Life Sciences; Experimental Articles; Life Sciences; Medical Microbiology; Microbiology; microbial community; soda lake; multivariate analysis; Principal Component Analysis
• ISSN: 0026-2617; 1608-3237
• DOI: 10.1134/S0026261712040170

In this work, the main environmental factors determining the functioning of the microbial community of the alkaline low-mineralized Lake Beloe during the annual cycle were studied. High numbers of phototrophic and heterotrophic microorganisms (up to 10
7
cells/mL) and high rates of bacterial processes of organic matter (OM) production and destruction were observed. The highest rate of dark CO
2
assimilation (up to 0.43 mg C dm
−3
day
−1
), as well as the peak intensities of the terminal processes of sulfate reduction and methanogenesis (up to 1.81 mg S dm
−3
day
−1
and 0.96 μL CH
4
dm
−3
day
−1
, respectively), detected at the end of summer, were comparable to the rates of these processes detected in the bottom sediments of most soda lakes of the Transbaikal Region. Principal Component Analysis (PCA) allowed us to estimate the effect of environmental factors on the functioning of the microbial community of the alkaline Lake Beloe. Four main components, explaining 98% of variations, were detected. The first one (PC1) explained 63.5% of the seasonal variations and represented the temperature factor consisting of the temperatures of air, water, and bottom sediments. Water temperature and pH were the main contributors to the second component (PC2) and determine 26.2% of the seasonal variations. The PC3 (silt temperature and the concentration of organic matter) and PC4 (salt concentration) components were less important and explained only 6.5 and 2.2% of the variations, respectively.