[Dynamics of Purple Sulfur Bacteria in a Meromictic Saline Lake Shunet (Khakassia, Siberia) in 2007-2013].

Mikrobiologiia Pub Date : 2016-01-01
D Yu Rogozin, V V Zykova, M O Tarnovskii
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Abstract

According to the results of seasonal monitoring, in 2007-2013 purple sulfur bacteria morphologically similar to Thiocapsa sp. Shira_1 (AJ633676 in EMBL/GenBank) predominated in the anoxygenic phototrophic community of the water column of the meromictic Lake Shira (Khakassia, Siberia). No pronounced seasonal periodicity in the total cell number in the water column was revealed during the period of observation. In some years cell number during the period when the lake was covered with ice was reliably higher than in summer. The absence ofseasonal periodicity was probably due to the low amplitude of seasonal variations in temperature and illumination in the redox zone, resulting from its relatively deep location (12-16 m). The year-to-year dynamics was characterized by a reliable decrease of the total cell number in 2009-2010 and maxima in 2007 and 2011-2012. Canonical correlation analysis revealed that water temperature in the redox zone was the best predictor of the PSB abundance in Lake Shira. Water temperature, in turn, depended on the depth of mixing of the water column. Intense mixing in 2009-2011 was probably responsible for decreased PSB abundance in the lake. On the other hand, the absence of deep winter mixing, resulting in stable conditions in the chemocline, favored the preservation of relatively high PSB biomass. Prediction of circulation depth, which.depends mainly on the weather conditions and dynamics of the water level, is required for prediction of PSB abundance in Lake Shira. These results may be useful for paleolimnological reconstructions of the history of the lake based on the remnants of purple sulfur bacteria in bottom sediments.

[2007-2013年西伯利亚Khakassia分生盐湖Shunet中紫色硫细菌的动态]。
根据季节监测结果,2007-2013年,与Thiocapsa sp. Shira_1 (EMBL/GenBank中的AJ633676)形态相似的紫色硫细菌在分生湖Shira (Khakassia, Siberia)水体缺氧光营养群落中占主导地位。在观察期间,水柱中细胞总数没有明显的季节周期性。在某些年份,湖泊被冰覆盖期间的细胞数确实高于夏季。由于氧化还原区的位置相对较深(12 ~ 16 m),温度和光照的季节性变化幅度较小,因此没有季节性的周期性。年动态特征为2009 ~ 2010年总胞数减少,2007年和2011 ~ 2012年达到最大值。典型相关分析表明,氧化还原区水温是示拉湖PSB丰度的最佳预测因子。水温反过来又取决于水柱混合的深度。2009-2011年的强烈混合可能是导致湖中PSB丰度下降的原因。另一方面,由于没有深冬混合,使得趋化层条件稳定,有利于保持较高的PSB生物量。对设拉湖PSB丰度的预测需要对环流深度进行预测,而环流深度主要取决于天气条件和水位动态。这些结果可能有助于根据底部沉积物中紫色硫细菌的残留物重建湖泊历史的古湖泊学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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