Variations in soil microbial communities and residues along an altitude gradient on the northern slope of changbai mountain, china.
Variations in soil microbial communities and residues along an altitude gradient on the northern slope of changbai mountain, china.
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长白山北坡海拔梯度土壤微生物群落及残留变化
DOI：
10.1371/journal.pone.0066184
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Zhang X
中科院分区：
文献类型：
--
作者：
Zhang B;Liang C;He H;Zhang X
海拔确定的气候条件提供了特定的植被类型和土壤环境，可能会影响土壤微生物群落，这反过来又可能影响微生物残留。然而，知识是有限的，在何种程度上的微生物群落和残留物的存在和不同的沿着海拔。采用磷脂脂肪酸（PLFA）和氨基糖分析法，对长白山沿着土壤微生物群落和残留物进行了研究。土壤样品取自五个不同的植被带定义的气候。主成分分析（PCA）结果表明，土壤微生物群落组成在各研究点间存在显著差异，主要受第一主成分（PC 1）上土壤pH值和C/N比值的影响，其贡献率为50.7%.在第二主成分（PC 2）上，高山冻原与森林样地之间的真菌PLFA（18：2ω 6，9）含量显著较高。土壤pH值和C/N比也与革兰氏阳性菌与革兰氏阴性菌的比例（Gm+/Gm−）、氨基葡萄糖与半乳糖胺的比例（GluN/GalN）和氨基葡萄糖与胞壁酸的比例（GluN/MurA）相关。PLFA总量和氨基糖与土壤有机碳、无机氮、速效磷和速效钾均呈显著正相关。结果表明，土壤pH值和C/N比是影响微生物群落结构和氨基糖分布的重要因素，而基质有效性是影响微生物群落和残留物浓度的重要因素。这些发现可以用来促进解释土壤微生物群落和氨基糖数据来自纬度或管理的森林测量。
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.
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