Abstract High-throughput sequencing approach of the 16S rRNA gene was employed to evaluate the bacterial diversity inhabit in melted water, snow, soil, and rocks samples at the lower altitudes of the Laohugou glacial environment. Bioinformatics tools were used to process millions of Illumina reads for alpha and beta diversities of bacterial communities. The diversity indices such as Chao, Shannon, and Simpson were different in the collected samples and solid samples (soil and rocks) showed higher taxon richness and evenness. Taxonomic diversity was unexpectedly higher and the major portion of sequences was assigned to Proteobacteria, Actinobacteria, and Acidobacteria. Higher variation in community structure was reported at the class level and Alphaproteobacteria was dominant. The solid niches were occupied by a higher number of phyla compared with liquid. The physicochemical variables acted as spatial gradients and associated with the bacterial structural communities of the glacial ecosystem. Findings showed that both Proteobacteria and Actinobacteria in solid samples influenced the bacterial community structure in downstream liquid samples. Interestingly, the metagenomic biomarkers were higher in liquid samples. This study provides precious datasets to understand the bacterial community in a better way under the influence of spatial, physical and environmental factors.

中文翻译：

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老虎沟冰川环境下低海拔土著细菌群落的文化独立多样性

摘要 采用16S rRNA基因的高通量测序方法，评估了老虎沟冰川环境低海拔地区融化的水、雪、土壤和岩石样品中细菌的多样性。生物信息学工具用于处理细菌群落的 alpha 和 beta 多样性的数百万个 Illumina 读数。Chao、Shannon 和 Simpson 等多样性指数在采集的样品中不同，固体样品（土壤和岩石）表现出较高的分类群丰富度和均匀度。分类多样性出乎意料地更高，序列的主要部分被分配到变形杆菌、放线菌和酸杆菌。在类水平上报告了更高的群落结构变化，并且 Alphaproteobacteria 占主导地位。与液体相比，固体壁龛被更多的门占据。物理化学变量充当空间梯度，并与冰川生态系统的细菌结构群落相关。结果表明，固体样品中的变形菌和放线菌都影响了下游液体样品中的细菌群落结构。有趣的是，液体样品中的宏基因组生物标志物更高。这项研究提供了宝贵的数据集，可以在空间、物理和环境因素的影响下更好地了解细菌群落。结果表明，固体样品中的变形菌和放线菌都影响了下游液体样品中的细菌群落结构。有趣的是，液体样品中的宏基因组生物标志物更高。这项研究提供了宝贵的数据集，可以在空间、物理和环境因素的影响下更好地了解细菌群落。结果表明，固体样品中的变形菌和放线菌都影响了下游液体样品中的细菌群落结构。有趣的是，液体样品中的宏基因组生物标志物更高。这项研究提供了宝贵的数据集，可以在空间、物理和环境因素的影响下更好地了解细菌群落。