Salter Ian, Galand Pierre E, Fagervold Sonja K, Lebaron Philippe, Obernosterer Ingrid, Oliver Matthew J, Suzuki Marcelino T, Tricoire Cyrielle
1] Alfred-Wegener-Institute for Polar and Marine Research, Bremerhaven, Germany [2] Sorbonne Universités, UPMC Univ Paris 06, Observatoire Océanologique, Banyuls-Sur-Mer, France [3] CNRS, UMR 7621, LOMIC, Observatoire Océanologique, Banyuls-Sur-Mer, France.
1] Sorbonne Universités, UPMC Univ Paris 06, Observatoire Océanologique, Banyuls-Sur-Mer, France [2] CNRS, UMR 8222, LECOB, Observatoire Océanologique, Banyuls-Sur-Mer, France.
ISME J. 2015 Feb;9(2):347-60. doi: 10.1038/ismej.2014.129. Epub 2014 Sep 19.
A seven-year oceanographic time series in NW Mediterranean surface waters was combined with pyrosequencing of ribosomal RNA (16S rRNA) and ribosomal RNA gene copies (16S rDNA) to examine the environmental controls on SAR11 ecotype dynamics and potential activity. SAR11 diversity exhibited pronounced seasonal cycles remarkably similar to total bacterial diversity. The timing of diversity maxima was similar across narrow and broad phylogenetic clades and strongly associated with deep winter mixing. Diversity minima were associated with periods of stratification that were low in nutrients and phytoplankton biomass and characterised by intense phosphate limitation (turnover time<5 h). We propose a conceptual framework in which physical mixing of the water column periodically resets SAR11 communities to a high diversity state and the seasonal evolution of phosphate limitation competitively excludes deeper-dwelling ecotypes to promote low diversity states dominated (>80%) by SAR11 Ia. A partial least squares (PLS) regression model was developed that could reliably predict sequence abundances of SAR11 ecotypes (Q(2)=0.70) from measured environmental variables, of which mixed layer depth was quantitatively the most important. Comparison of clade-level SAR11 rRNA:rDNA signals with leucine incorporation enabled us to partially validate the use of these ratios as an in-situ activity measure. However, temporal trends in the activity of SAR11 ecotypes and their relationship to environmental variables were unclear. The strong and predictable temporal patterns observed in SAR11 sequence abundance was not linked to metabolic activity of different ecotypes at the phylogenetic and temporal resolution of our study.
将地中海西北部表层水的七年海洋学时间序列与核糖体RNA(16S rRNA)和核糖体RNA基因拷贝(16S rDNA)的焦磷酸测序相结合,以研究环境对SAR11生态型动态和潜在活性的控制。SAR11多样性呈现出明显的季节性周期,与总细菌多样性非常相似。在狭窄和广泛的系统发育分支中,多样性最大值出现的时间相似,并且与深冬混合密切相关。多样性最小值与分层期相关,分层期营养物质和浮游植物生物量较低,其特征是强烈的磷酸盐限制(周转时间<5小时)。我们提出了一个概念框架,其中水柱的物理混合将SAR11群落周期性地重置为高多样性状态,而磷酸盐限制的季节性演变竞争性地排除了更深层的生态型,以促进由SAR11 Ia主导(>80%)的低多样性状态。开发了一个偏最小二乘(PLS)回归模型,该模型可以根据测量的环境变量可靠地预测SAR11生态型的序列丰度(Q(2)=0.70),其中混合层深度在数量上是最重要的。将系统发育分支水平的SAR11 rRNA:rDNA信号与亮氨酸掺入进行比较,使我们能够部分验证这些比率作为原位活性测量方法的有效性。然而,SAR11生态型活性的时间趋势及其与环境变量的关系尚不清楚。在我们研究的系统发育和时间分辨率下,SAR11序列丰度中观察到的强烈且可预测的时间模式与不同生态型的代谢活性无关。