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Variations in Soil Microbial Communities and Residues Along an Altitude Gradient on the Northern Slope of Changbai Mountain China

机译:长白山北坡土壤微生物群落及残留量随海拔梯度的变化

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摘要

Altitudinally-defined climate conditions provide specific vegetation types and soil environments that could influence soil microbial communities, which in turn may affect microbial residues. However, the knowledge is limited in terms of the degree to which microbial communities and residues present and differ along altitude. In this study, we examined the soil microbial communities and residues along the northern slope of Changbai Mountain, China using phospholipid fatty acid (PLFA) and amino sugar analysis, respectively. Soil samples were taken from five different vegetation belts defined by climates. Principal component analysis (PCA) revealed substantial differences in soil microbial community composition among study sites, appeared to be driven primarily by soil pH and C/N ratio on the first principal component (PC1) which accounted for 50.7% of the total sample variance. The alpine tundra was separated from forest sites on the second principal component (PC2) by a signifiscantly higher amount of fungal PLFA (18:2ω6,9). Soil pH and C/N ratio were also correlated with the ratios of Gram-positive to Gram-negative bacteria (Gm+/Gm), glucosamine to galactosamine (GluN/GalN), and glucosamine to muramic acid (GluN/MurA). Both total PLFAs and amino sugars were positively correlated with soil organic carbon, inorganic nitrogen, available phosphorus and potassium. We concluded that soil pH and C/N ratio were the most important drivers for microbial community structure and amino sugar pattern, while substrate availability was of great importance in determining the concentrations of microbial communities and residues. These findings could be used to facilitate interpretation of soil microbial community and amino sugar data derived from measurements in latitude or managed forests.
机译:常规定义的气候条件提供了可能影响土壤微生物群落的特定植被类型和土壤环境,进而可能影响微生物残留。但是,有关微生物群落和残留物存在的程度以及沿海拔高度变化的知识是有限的。在这项研究中,我们分别使用磷脂脂肪酸(PLFA)和氨基糖分析法研究了中国长白山北坡土壤微生物群落和残留物。土壤样品取自气候定义的五个不同植被带。主成分分析(PCA)显示研究地点之间土壤微生物群落组成存在实质性差异,这似乎主要是由第一主成分(PC1)上的土壤pH和C / N比驱动的,占总样本差异的50.7%。高山冻原在第二主要成分(PC2)上与森林地相分离,其真菌PLFA的含量高得多(18:2ω6,9)。土壤pH和C / N比值也与革兰氏阳性菌和革兰氏阴性菌(Gm + / Gm -),葡糖胺与半乳糖胺(GluN / (GluN / MurA)。总的PLFA和氨基糖均与土壤有机碳,无机氮,有效磷和钾呈正相关。我们得出的结论是,土壤pH和C / N比是微生物群落结构和氨基糖模式的最重要驱动因素,而底物的可用性对确定微生物群落和残留物的浓度至关重要。这些发现可用于促进对土壤微生物群落和源自纬度或人工林测量结果的氨基糖数据的解释。

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