Faculty of Geology, University of Warsaw, Warsaw, Poland.
Faculty of Medicine, The John Paul II Catholic University of Lublin, Lublin, Poland.
Environ Microbiol Rep. 2024 Oct;16(5):e70030. doi: 10.1111/1758-2229.70030.
Extreme environments, such as highly saline ecosystems, are characterised by a limited presence of microbial communities capable of tolerating and thriving under these conditions. To better understand the limits of life and its chemical and microbiological drivers, highly saline and brine groundwaters of Na-Cl and Na-Ca-Cl types with notably diverse SO contents were sampled in water intakes and springs from sedimentary aquifers located in the Outer Carpathians and the Carpathian Foredeep basin and its basement in Poland. Chemical and microbiological methods were used to identify the composition of groundwaters, determine microbial diversity, and indicate processes controlling their distribution using multivariate statistical analyses. DNA sequencing targeting V3-V4 and V4-V5 gene regions revealed a predominance of Proteobacteriota, Methanobacteria, Methanomicrobia, and Nanoarchaea in most of the water samples, irrespective of their geological context. Despite the sample-size constraint, redundancy analysis employing a compositional approach to hydrochemical predictors identified Cl/SO and Cl/HCO ratios, and specific electrical conductivity, as key gradients shaping microbial communities, depending on the analysed gene regions. Analysis of functional groups revealed that methanogenesis, sulphate oxidation and reduction, and the nitrogen cycle define and distinguish the halotolerant communities in the samples. These communities are characterised by an inverse relationship between methanogens and sulphur-cycling microorganisms.
极端环境,如高盐生态系统,其微生物群落的存在受到限制,这些微生物能够在这些条件下耐受和繁荣。为了更好地了解生命的极限及其化学和微生物驱动因素,本研究在波兰外喀尔巴阡山脉和喀尔巴阡山前盆地及其基底的沉积含水层中的水入口和泉水处采集了具有显著不同 SO 含量的 Na-Cl 和 Na-Ca-Cl 型高盐和卤水地下水。采用化学和微生物方法来确定地下水的组成,确定微生物多样性,并使用多元统计分析指示控制其分布的过程。针对 V3-V4 和 V4-V5 基因区域的 DNA 测序表明,大多数水样中都以 Proteobacteriota、Methanobacteria、Methanomicrobia 和 Nanoarchaea 为主,无论其地质背景如何。尽管受到样本量的限制,但使用基于组成的方法对水化学预测因子进行冗余分析,确定了 Cl/SO 和 Cl/HCO 比值以及特定电导率是根据分析的基因区域塑造微生物群落的关键梯度。功能群分析表明,产甲烷作用、硫酸盐氧化和还原以及氮循环定义和区分了样品中的耐盐微生物群落。这些群落的特征是产甲烷菌和硫循环微生物之间呈反比关系。