Characterization of coastal urban watershed bacterial communities leads to alternative community-based indicators.
Characterization of coastal urban watershed bacterial communities leads to alternative community-based indicators.
复制标题
DOI：
10.1371/journal.pone.0011285
复制
发表时间：
2010-06-23
期刊：
影响因子：
3.7
通讯作者：
Andersen GL
中科院分区：
文献类型：
--
作者：
Wu CH;Sercu B;Van de Werfhorst LC;Wong J;DeSantis TZ;Brodie EL;Hazen TC;Holden PA;Andersen GL
由于环境波动和外部输入源的变化，水环境中的微生物群落具有时空动态性。在美国，很大比例的城市流域受到粪便污染的影响，包括人类病原体，从而阻碍了全面的监测。使用高密度微阵列（PhyloChip），我们研究了从两个相连的城市流域提取的水柱细菌群落DNA，阐明了3天内可变和稳定的细菌亚群和粪便和非粪便来源不同的群落组成概况。两种方法用于指示粪便影响。第一种方法利用503个操作分类单位（OTU）共同的粪便样本在这项研究中分析的流域样本作为粪便污染的指数的相似性。503个OTU中的大多数在厚壁菌门、变形菌门、拟杆菌门和放线菌门中发现。第二种方法结合了4种细菌类别（芽孢杆菌、拟杆菌、梭菌和α-变形菌）的相对丰富度，发现这些细菌在粪便和非粪便样本中具有最高的方差。来自流域样品的这4类细菌的比例（BBC∶A）表明，肠道和污水来源的细菌群落的比例高于不受粪便影响的来源。在来自先前发表和未发表的测序或PhyloChip分析的研究的124个细菌群落中也观察到这种趋势。这项研究提供了一个详细的表征细菌群落变异性在干燥的天气在两个城市流域的3天期间。对流域社区组成的比较分析得出了可用于评估生态系统健康的替代性社区指标。
Microbial communities in aquatic environments are spatially and temporally dynamic due to environmental fluctuations and varied external input sources. A large percentage of the urban watersheds in the United States are affected by fecal pollution, including human pathogens, thus warranting comprehensive monitoring. Using a high-density microarray (PhyloChip), we examined water column bacterial community DNA extracted from two connecting urban watersheds, elucidating variable and stable bacterial subpopulations over a 3-day period and community composition profiles that were distinct to fecal and non-fecal sources. Two approaches were used for indication of fecal influence. The first approach utilized similarity of 503 operational taxonomic units (OTUs) common to all fecal samples analyzed in this study with the watershed samples as an index of fecal pollution. A majority of the 503 OTUs were found in the phyla Firmicutes, Proteobacteria, Bacteroidetes, and Actinobacteria. The second approach incorporated relative richness of 4 bacterial classes (Bacilli, Bacteroidetes, Clostridia and α-proteobacteria) found to have the highest variance in fecal and non-fecal samples. The ratio of these 4 classes (BBC∶A) from the watershed samples demonstrated a trend where bacterial communities from gut and sewage sources had higher ratios than from sources not impacted by fecal material. This trend was also observed in the 124 bacterial communities from previously published and unpublished sequencing or PhyloChip- analyzed studies. This study provided a detailed characterization of bacterial community variability during dry weather across a 3-day period in two urban watersheds. The comparative analysis of watershed community composition resulted in alternative community-based indicators that could be useful for assessing ecosystem health.
登录
查看更多内容
DOI：
10.1073/pnas.0608255104
发表时间：
2007-01-02
影响因子：
11.1
作者：
Brodie, Eoin L.;DeSantis, Todd Z.;Andersen, Gary L.
通讯作者：
Andersen, Gary L.
影响因子：
3
作者：
Field, KG;Bernhard, AE;Brodeur, TJ
通讯作者：
Brodeur, TJ
影响因子：
9.4
作者：
Flanagan, J. L.;Brodie, E. L.;Bristow, J.
通讯作者：
Bristow, J.
影响因子：
4.4
作者：
Crump, BC;Hopkinson, CS;Hobbie, JE
通讯作者：
Hobbie, JE
影响因子：
4.4
作者：
Fogarty, LR;Voytek, MA
通讯作者：
Voytek, MA