Pyrosequencing reveals contrasting seasonal dynamics of taxa within Baltic Sea bacterioplankton communities
Pyrosequencing reveals contrasting seasonal dynamics of taxa within Baltic Sea bacterioplankton communities
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DOI：
10.1038/ismej.2009.108
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发表时间：
2010-02-01
期刊：
影响因子：
11
通讯作者：
Bertilsson, Stefan
中科院分区：
文献类型：
--
作者：
Andersson, Anders F.;Riemann, Lasse;Bertilsson, Stefan
性状的变化导致细菌种群以相反的方式对环境驱动因素作出反应。了解这一点将有助于我们理解复杂生态系统中单个种群的生态学。我们使用454焦磷酸测序的16 S rRNA基因的高变区V6研究波罗的海浮游细菌群落的季节性动态，并链接到生物和化学因素的社区和人口的变化。2003年5月至10月和2004年5月在波罗的海中部的Landsort Deep采集了表层样品。分析呈现，平均，20 200序列读取每个分析的8个样本，提供了波罗的海细菌群落的第一个详细描述。随着时间的推移，社区组成变化显着，支持强大的时间变化的浮游细菌组合的想法，并根据季节（包括两个5月的样品从连续几年），表明可重复的季节性演替集群。总体而言，群落变化与磷浓度和温度的变化相关性最高。还鉴定了与不同蓝细菌种群紧密共变的单个细菌种群。在不同的系统发育距离的操作分类单位的丰度配置文件比较显示，丰度配置文件的相似性和遗传距离之间的弱，但显着的负相关性，可能反映在所研究的浮游细菌的进化保守的功能特征的栖息地过滤。The ISME Journal（2010）4，171-181; doi：10.1038/ismej.2009.108; 2009年10月15日在线发表
Variation in traits causes bacterial populations to respond in contrasting ways to environmental drivers. Learning about this will help us understand the ecology of individual populations in complex ecosystems. We used 454 pyrosequencing of the hypervariable region V6 of the 16S rRNA gene to study seasonal dynamics in Baltic Sea bacterioplankton communities, and link community and population changes to biological and chemical factors. Surface samples were collected from May to October 2003 and in May 2004 at the Landsort Deep in the central Baltic Sea Proper. The analysis rendered, on average, 20 200 sequence reads for each of the eight samples analyzed, providing the first detailed description of Baltic Sea bacterial communities. Community composition varied dramatically over time, supporting the idea of strong temporal shifts in bacterioplankton assemblages, and clustered according to season (including two May samples from consecutive years), suggesting repeatable seasonal succession. Overall, community change was most highly correlated with change in phosphorus concentration and temperature. Individual bacterial populations were also identified that tightly co-varied with different Cyanobacteria populations. Comparing the abundance profiles of operational taxonomic units at different phylogenetic distances revealed a weak but significant negative correlation between abundance profile similarity and genetic distance, potentially reflecting habitat filtering of evolutionarily conserved functional traits in the studied bacterioplankton. The ISME Journal (2010) 4, 171-181; doi: 10.1038/ismej.2009.108; published online 15 October 2009