State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, China.
State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Beijing, 100083, China.
Sci China Life Sci. 2019 Oct;62(10):1320-1331. doi: 10.1007/s11427-018-9525-9. Epub 2019 Jun 3.
Despite recent interest in microbial diversity and community structure of lakes across various spatial scales, a global biogeographic distribution pattern and its controlling factors have not been fully disclosed. Here, we compiled and analyzed 88,334,735 environmental 16S rRNA sequences from 431 lakes across a wide range of geographical distance and environmental conditions (in particular, salinity, 0-373.3 g L). Our results showed that lake sediments inhabit significantly (ANOVA: P<0.001) more diverse microbial communities than lake waters. Non-metric dimensional scaling (NMDS) ordinations indicated that microbial community compositions differed distinctly among sample types (freshwater vs. saline, water vs. sediment) and geographic locations. Mantel and partial Mantel tests showed that microbial community composition in lake water was significantly (P=0.001) correlated with geographic distance, salinity, and pH. Statistical analyses based on neutral community and null models indicated that stochastic processes may play predominant roles in shaping the microbial biogeographic distribution patterns in the studied global lake waters. The dispersal-related stochasticity (e.g., homogenizing dispersal) exhibited a stronger influence on the distribution of microbial community in freshwater lakes than in saline lakes. Overall, this work expands our understanding of the impact of geographic distance, environmental conditions, and stochastic processes on microbial distribution in global lakes.
尽管最近人们对不同空间尺度的湖泊微生物多样性和群落结构产生了兴趣，但全球生物地理分布模式及其控制因素尚未完全揭示。在这里，我们编译并分析了来自全球范围内 431 个湖泊的 88,334,735 个环境 16S rRNA 序列，这些湖泊的地理距离和环境条件范围很广（特别是盐度，0-373.3 g/L）。我们的结果表明，湖泊沉积物中的微生物群落比湖泊水中的微生物群落更加多样化（ANOVA：P<0.001）。非度量多维尺度（NMDS）排序表明，微生物群落组成在样本类型（淡水与盐水、水与沉积物）和地理位置之间存在明显差异。Mantel 和偏 Mantel 检验表明，湖水的微生物群落组成与地理距离、盐度和 pH 值显著相关（P=0.001）。基于中性群落和零模型的统计分析表明，随机过程可能在塑造研究中全球湖泊的微生物生物地理分布模式方面发挥主导作用。与扩散相关的随机性（例如，均匀化扩散）对淡水湖泊中微生物群落的分布的影响大于盐水湖泊。总体而言，这项工作扩展了我们对地理距离、环境条件和随机过程对全球湖泊中微生物分布的影响的理解。
