Guggenheim Carole, Freimann Remo, Mayr Magdalena J, Beck Karin, Wehrli Bernhard, Bürgmann Helmut
Department of Environmental Systems Science, Institute of Biogeochemistry and Pollutant Dynamics, ETH Zurich - Swiss Federal Institute of Technology, Zurich, Switzerland.
Department of Surface Waters - Research and Management, Eawag - Swiss Federal Institute of Aquatic Science and Technology, Kastanienbaum, Switzerland.
Front Microbiol. 2020 Oct 15;11:579427. doi: 10.3389/fmicb.2020.579427. eCollection 2020.
In stratified lakes, methane-oxidizing bacteria (MOB) are strongly mitigating methane fluxes to the atmosphere by consuming methane entering the water column from the sediments. MOB communities in lakes are diverse and vertically structured, but their spatio-temporal dynamics along the water column as well as physico-chemical parameters and interactions with other bacterial species that drive the community assembly have so far not been explored in depth. Here, we present a detailed investigation of the MOB and bacterial community composition and a large set of physico-chemical parameters in a shallow, seasonally stratified, and sub-alpine lake. Four highly resolved vertical profiles were sampled in three different years and during various stages of development of the stratified water column. Non-randomly assembled MOB communities were detected in all compartments. We could identify methane and oxygen gradients and physico-chemical parameters like pH, light, available copper and iron, and total dissolved nitrogen as important drivers of the MOB community structure. In addition, MOB were well-integrated into a bacterial-environmental network. Partial redundancy analysis of the relevance network of physico-chemical variables and bacteria explained up to 84% of the MOB abundances. Spatio-temporal MOB community changes were 51% congruent with shifts in the total bacterial community and 22% of variance in MOB abundances could be explained exclusively by the bacterial community composition. Our results show that microbial interactions may play an important role in structuring the MOB community along the depth gradient of stratified lakes.
在分层湖泊中,甲烷氧化细菌(MOB)通过消耗从沉积物进入水柱的甲烷,极大地减少了甲烷向大气的排放通量。湖泊中的MOB群落具有多样性且呈垂直结构,但迄今为止,尚未深入探究它们沿水柱的时空动态以及驱动群落组装的物理化学参数和与其他细菌物种的相互作用。在此,我们对一个浅的、季节性分层的亚高山湖泊中的MOB和细菌群落组成以及大量物理化学参数进行了详细调查。在三个不同年份以及分层水柱发育的不同阶段,采集了四个高分辨率的垂直剖面样本。在所有隔室中都检测到了非随机组装的MOB群落。我们能够确定甲烷和氧气梯度以及诸如pH值、光照、可利用的铜和铁以及总溶解氮等物理化学参数是MOB群落结构的重要驱动因素。此外,MOB很好地融入了细菌 - 环境网络。对物理化学变量与细菌相关性网络的偏冗余分析解释了高达84%的MOB丰度。MOB群落的时空变化与总细菌群落的变化有51%的一致性,并且MOB丰度22%的变异仅可由细菌群落组成来解释。我们的结果表明,微生物相互作用可能在沿分层湖泊深度梯度构建MOB群落中发挥重要作用。