Department of Microbiology and Parasitology, Faculty of Pharmacy, University of Sevilla, Sevilla, 41012, Spain.
Biological Sciences Division, Pacific National Northwest Laboratory, Richland, WA, 99354, USA.
Sci Rep. 2019 Feb 11;9(1):1769. doi: 10.1038/s41598-018-38339-z.
Increasing salinization in wetland systems is a major threat to ecosystem services carried out by microbial communities. Thus, it is paramount to understand how salinity drives both microbial community structures and their diversity. Here we evaluated the structure and diversity of the prokaryotic communities from a range of highly saline soils (EC from 5.96 to 61.02 dS/m) from the Odiel Saltmarshes and determined their association with salinity and other soil physicochemical features by analyzing 16S rRNA gene amplicon data through minimum entropy decomposition (MED). We found that these soils harbored unique communities mainly composed of halophilic and halotolerant taxa from the phyla Euryarchaeota, Proteobacteria, Balneolaeota, Bacteroidetes and Rhodothermaeota. In the studied soils, several site-specific properties were correlated with community structure and individual abundances of particular sequence variants. Salinity had a secondary role in shaping prokaryotic communities in these highly saline samples since the dominant organisms residing in them were already well-adapted to a wide range of salinities. We also compared ESV-based results with OTU-clustering derived ones, showing that, in this dataset, no major differences in ecological outcomes were obtained by the employment of one or the other method.
湿地系统中盐分的增加是对微生物群落发挥的生态系统服务的主要威胁。因此,了解盐分如何驱动微生物群落结构及其多样性至关重要。在这里,我们评估了来自奥德耶尔盐沼(Odiel Saltmarshes)一系列高盐土壤(EC 从 5.96 到 61.02 dS/m)中的原核微生物群落的结构和多样性,并通过最小熵分解(MED)分析 16S rRNA 基因扩增子数据来确定其与盐分和其他土壤理化特性的关系。我们发现,这些土壤中存在独特的微生物群落,主要由古菌门(Euryarchaeota)、变形菌门(Proteobacteria)、泉古菌门(Balneolaeota)、拟杆菌门(Bacteroidetes)和红杆菌门(Rhodothermaeota)的嗜盐和耐盐类群组成。在所研究的土壤中,一些特定的属性与群落结构和特定序列变体的个体丰度相关。盐分在这些高盐样本中对原核微生物群落的塑造作用是次要的,因为其中存在的主要生物已经很好地适应了广泛的盐度范围。我们还将基于 ESV 的结果与基于 OTU 聚类的结果进行了比较,结果表明,在这个数据集,使用一种或另一种方法在生态结果方面没有显著差异。