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Temporal variability and coherence of euphotic zone bacterial communities over a decade in the Southern California Bight

机译:在南加州湾地区十年来的富营养区细菌群落的时间变异性和连贯性

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摘要

Time-series are critical to understanding long-term natural variability in the oceans. Bacterial communities in the euphotic zone were investigated for over a decade at the San Pedro Ocean Time-series station (SPOT) off southern California. Community composition was assessed by Automated Ribosomal Intergenic Spacer Analysis (ARISA) and coupled with measurements of oceanographic parameters for the surface ocean (0–5 m) and deep chlorophyll maximum (DCM, average depth ∼30 m). SAR11 and cyanobacterial ecotypes comprised typically more than one-third of the measured community; diversity within both was temporally variable, although a few operational taxonomic units (OTUs) were consistently more abundant. Persistent OTUs, mostly Alphaproteobacteria (SAR11 clade), Actinobacteria and Flavobacteria, tended to be abundant, in contrast to many rarer yet intermittent and ephemeral OTUs. Association networks revealed potential niches for key OTUs from SAR11, cyanobacteria, SAR86 and other common clades on the basis of robust correlations. Resilience was evident by the average communities drifting only slightly as years passed. Average Bray-Curtis similarity between any pair of dates was ∼40%, with a slight decrease over the decade and obvious near-surface seasonality; communities 8–10 years apart were slightly more different than those 1–4 years apart with the highest rate of change at 0–5 m between communities <4 years apart. The surface exhibited more pronounced seasonality than the DCM. Inter-depth Bray-Curtis similarities repeatedly decreased as the water column stratified each summer. Environmental factors were better predictors of shifts in community composition than months or elapsed time alone; yet, the best predictor was community composition at the other depth (that is, 0–5 m versus DCM).
机译:时间序列对于了解海洋中的长期自然变化至关重要。在加利福尼亚州南部的圣佩德罗海洋时间序列站(SPOT),对富营养区的细菌群落进行了十多年的调查。群落组成通过自动核糖体基因间间隔分析(ARISA)进行评估,并结合表层海洋(0-5μm)和深叶绿素最大值(DCM,平均深度约30μm)的海洋学参数测量。 SAR11和蓝细菌生态型通常占被测群体的三分之一以上;尽管一些操作生物分类单位(OTU)始终更加丰富,但两者之间的多样性在时间上是可变的。与许多罕见的但间歇性的和短暂的OTU相比,持久性OTU(通常是Alphaproteobacteria(SAR11进化枝),放线菌和Flavobacteria)趋向于丰富。协会网络根据稳健的相关性揭示了来自SAR11,蓝细菌,SAR86和其他常见进化枝的关键OTU的潜在优势。随着时间的流逝,普通社区仅会出现轻微漂移,因此具有抵御能力。任何一对日期之间的平均Bray-Curtis相似度约为40%,十年间略有下降,近地表季节性也很明显。相隔8–10年的社区与相隔1–4年的社区稍有不同,相距小于4年的社区之间的变化率最高,为0–5μm。该表面显示出比DCM更明显的季节性。随着每年夏天的水柱分层,深度Bray-Curtis相似度反复下降。环境因素比单独的几个月或经过的时间更好地预测了社区构成的变化。然而,最好的预测指标是在另一个深度(即相对于DCM,0-5 µm)的群落组成。

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