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通过高频采样解析季节性浮游细菌种群动态

Disentangling seasonal bacterioplankton population dynamics by high-frequency sampling.

作者信息

Lindh Markus V, Sjöstedt Johanna, Andersson Anders F, Baltar Federico, Hugerth Luisa W, Lundin Daniel, Muthusamy Saraladevi, Legrand Catherine, Pinhassi Jarone

机构信息

Centre for Ecology and Evolution in Microbial model Systems - EEMiS, Linnaeus University, Kalmar, SE-39182, Sweden.

Science for Life Laboratory, KTH Royal Institute of Technology, School of Biotechnology, Stockholm, SE-10691, Sweden.

出版信息

Environ Microbiol. 2015 Jul;17(7):2459-76. doi: 10.1111/1462-2920.12720. Epub 2015 Jan 27.

Abstract

Multiyear comparisons of bacterioplankton succession reveal that environmental conditions drive community shifts with repeatable patterns between years. However, corresponding insight into bacterioplankton dynamics at a temporal resolution relevant for detailed examination of variation and characteristics of specific populations within years is essentially lacking. During 1 year, we collected 46 samples in the Baltic Sea for assessing bacterial community composition by 16S rRNA gene pyrosequencing (nearly twice weekly during productive season). Beta-diversity analysis showed distinct clustering of samples, attributable to seemingly synchronous temporal transitions among populations (populations defined by 97% 16S rRNA gene sequence identity). A wide spectrum of bacterioplankton dynamics was evident, where divergent temporal patterns resulted both from pronounced differences in relative abundance and presence/absence of populations. Rates of change in relative abundance calculated for individual populations ranged from 0.23 to 1.79 day(-1) . Populations that were persistently dominant, transiently abundant or generally rare were found in several major bacterial groups, implying evolution has favoured a similar variety of life strategies within these groups. These findings suggest that high temporal resolution sampling allows constraining the timescales and frequencies at which distinct populations transition between being abundant or rare, thus potentially providing clues about physical, chemical or biological forcing on bacterioplankton community structure.

摘要

浮游细菌演替的多年比较表明,环境条件驱动群落变化,且年际间具有可重复的模式。然而,对于浮游细菌动态,在与详细研究年内特定种群的变化和特征相关的时间分辨率上,基本缺乏相应的见解。在一年中,我们在波罗的海采集了46个样本,通过16S rRNA基因焦磷酸测序评估细菌群落组成(在生产季节几乎每周两次)。β多样性分析显示样本有明显的聚类,这归因于种群间看似同步的时间转变(种群由97%的16S rRNA基因序列同一性定义)。明显存在广泛的浮游细菌动态,不同的时间模式既源于相对丰度的显著差异,也源于种群的存在与否。为各个种群计算的相对丰度变化率范围为0.23至1.79天-1。在几个主要细菌类群中都发现了持续占主导、短暂丰富或普遍稀少的种群,这意味着进化在这些类群中青睐了相似的多种生活策略。这些发现表明,高时间分辨率采样能够确定不同种群在丰富或稀少之间转变的时间尺度和频率,从而有可能为浮游细菌群落结构的物理、化学或生物驱动因素提供线索。

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