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与水化学有关的阿韦尔诺湖浮游细菌的垂直分布。

Vertical distribution of bacterioplankton in Lake Averno in relation to water chemistry.

机构信息

ENEA C. R. Casaccia, Technical Unit for Sustainable Development and Innovation of Agroindustrial System, Rome, Italy.

出版信息

FEMS Microbiol Ecol. 2013 Apr;84(1):176-88. doi: 10.1111/1574-6941.12048. Epub 2012 Dec 31.

Abstract

The effects of environmental factors on bacterioplankton distribution along the water column of Lake Averno (Naples, Italy) have been investigated by means of denaturing gradient gel electrophoresis (DGGE) of polymerase chain reaction (PCR)-amplified 16S rRNA gene fragments, and multivariate analysis applied to molecular data and physico-chemical parameters. Bacterial richness, estimated from DGGE profiles, remains constant throughout the water column, whereas archaeal richness increases with depth. Moreover, archaeal richness was significantly correlated to most of the measured abiotic variables, whereas bacterial richness did not. Analysis of sequences from DGGE bands revealed that the dominant bacterial populations belong to Alphaproteobacteria, Betaproteobacteria, Deltaproteobacteria, Bacteroidetes and Firmicutes, whereas sequences of the archaeal DGGE bands are affiliated to Methanomicrobiales and Methanosarcinales orders. Moreover, bacterial sequences affiliated to Proteobacteria and Bacteroidetes do not group closely to typical freshwater lineages/clades/tribes within these phyla. Bacterioplankton distribution along the water column was apparently correlated with the vertical gradient of physico-chemical parameters as a statistically significant relationship between most of them with grouping of specific taxonomic units was observed.

摘要

采用聚合酶链反应(PCR)扩增 16S rRNA 基因片段的变性梯度凝胶电泳(DGGE),并结合多元统计分析方法对分子数据和理化参数进行分析,研究了环境因素对埃特纳火山口湖(意大利那不勒斯)水柱中细菌浮游生物分布的影响。DGGE 图谱估计的细菌丰富度在水柱中保持不变,而古菌丰富度随深度增加。此外,古菌丰富度与大多数测量的非生物变量显著相关,而细菌丰富度则不然。DGGE 条带序列分析表明,优势细菌种群属于α变形菌纲、β变形菌纲、δ变形菌纲、拟杆菌门和厚壁菌门,而古菌 DGGE 条带的序列与甲烷微菌目和甲烷杆菌目有关。此外,与变形菌门和拟杆菌门有关的细菌序列与这些门内的典型淡水谱系/群/部落没有密切的聚类关系。细菌浮游生物沿水柱的分布显然与理化参数的垂直梯度有关,因为观察到它们中的大多数与特定分类单元的分组之间存在统计学上的显著关系。

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