Jeanbille M, Buée M, Bach C, Cébron A, Frey-Klett P, Turpault M P, Uroz S
INRA, UMR1136 Interactions Arbres-Microorganismes, Champenoux, 54280, France.
Université de Lorraine, UMR1136 Interactions Arbres-Microorganismes, Vandoeuvre-lès-Nancy, 54500, France.
Microb Ecol. 2016 Feb;71(2):482-93. doi: 10.1007/s00248-015-0669-5. Epub 2015 Sep 14.
Soil and climatic conditions as well as land cover and land management have been shown to strongly impact the structure and diversity of the soil bacterial communities. Here, we addressed under a same land cover the potential effect of the edaphic parameters on the soil bacterial communities, excluding potential confounding factors as climate. To do this, we characterized two natural soil sequences occurring in the Montiers experimental site. Spatially distant soil samples were collected below Fagus sylvatica tree stands to assess the effect of soil sequences on the edaphic parameters, as well as the structure and diversity of the bacterial communities. Soil analyses revealed that the two soil sequences were characterized by higher pH and calcium and magnesium contents in the lower plots. Metabolic assays based on Biolog Ecoplates highlighted higher intensity and richness in usable carbon substrates in the lower plots than in the middle and upper plots, although no significant differences occurred in the abundance of bacterial and fungal communities along the soil sequences as assessed using quantitative PCR. Pyrosequencing analysis of 16S ribosomal RNA (rRNA) gene amplicons revealed that Proteobacteria, Acidobacteria and Bacteroidetes were the most abundantly represented phyla. Acidobacteria, Proteobacteria and Chlamydiae were significantly enriched in the most acidic and nutrient-poor soils compared to the Bacteroidetes, which were significantly enriched in the soils presenting the higher pH and nutrient contents. Interestingly, aluminium, nitrogen, calcium, nutrient availability and pH appeared to be the best predictors of the bacterial community structures along the soil sequences.
土壤和气候条件以及土地覆盖和土地管理已被证明会强烈影响土壤细菌群落的结构和多样性。在此,我们在相同的土地覆盖条件下,研究了土壤参数对土壤细菌群落的潜在影响,排除了气候等潜在混杂因素。为此,我们对蒙蒂耶尔实验场地出现的两个自然土壤序列进行了特征描述。在欧洲山毛榉林分下方采集空间上相距较远的土壤样本,以评估土壤序列对土壤参数以及细菌群落结构和多样性的影响。土壤分析表明,两个土壤序列在较低地块的特征是pH值较高,钙和镁含量较高。基于Biolog生态板的代谢分析表明,较低地块中可用碳底物的强度和丰富度高于中部和上部地块,尽管使用定量PCR评估时,沿土壤序列的细菌和真菌群落丰度没有显著差异。对16S核糖体RNA(rRNA)基因扩增子的焦磷酸测序分析表明,变形菌门、酸杆菌门和拟杆菌门是最丰富的门类。与拟杆菌门相比,酸杆菌门、变形菌门和衣原体在酸性最强和养分最贫瘠的土壤中显著富集,而拟杆菌门在pH值和养分含量较高的土壤中显著富集。有趣的是,铝、氮、钙、养分有效性和pH值似乎是沿土壤序列细菌群落结构的最佳预测指标。