The influence of soil properties on the structure of bacterial and fungal communities across land-use types
The influence of soil properties on the structure of bacterial and fungal communities across land-use types
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DOI：
10.1016/j.soilbio.2008.05.021
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发表时间：
2008-09-01
影响因子：
9.7
通讯作者：
Fierer, Noah
中科院分区：
文献类型：
--
作者：
Lauber, Christian L.;Strickland, Michael S.;Fierer, Noah
土地利用的变化可能会对土壤条件产生重大影响，微生物群落可能会对这些变化做出反应。然而，这种反应的特征很差，因为很少有研究研究土壤特性的具体变化如何影响不同土地利用类型的土壤细菌和真菌群落的组成。采集了美国东南部4个重复利用类型(n=3)土地利用类型(阔叶林、松林、耕地和牧场)的土壤样品，以评估土地利用变化对微生物群落结构和分布的影响。我们使用定量聚合酶链式反应来估计细菌和真菌的比例，并以小亚基rRNA基因为靶点的克隆文库来独立地表征细菌和真菌群落。虽然一些土壤性质(土壤质地和养分状况)在不同土地利用类型之间存在显著差异，但其他土壤因素(例如，pH)并不随土地利用而变化。不同土地利用的细菌-真菌比率没有显着差异，不同的土地利用类型不一定拥有不同的土壤真菌或细菌群落。相反，细菌和真菌群落的组成与特定的土壤性质密切相关。土壤pH是整个景观中细菌群落组成的最好预测因子，而真菌群落组成与土壤养分状况的变化关系最密切。总而言之，这些结果表明，土壤性质的具体变化，而不一定是土地利用类型本身，可能最好地预测给定景观中微生物群落组成的变化。此外，我们的结果表明，使用基于序列的方法同时分析细菌和真菌群落是有用的，因为这种分析提供了关于单个群落的详细系统发育信息，并允许对土壤微生物群落所展示的生物地理格局进行稳健的评估。(C)2008爱思唯尔有限公司。保留所有权利。
Land-use change can have significant impacts on soil conditions and microbial communities are likely to respond to these changes. However, such responses are poorly characterized as few studies have examined how specific changes in edaphic characteristics do, or do not, influence the composition of soil bacterial and fungal communities across land-use types. Soil samples were collected from four replicated (n = 3) land-use types (hardwood and pine forests, cultivated and livestock pasture lands) in the southeastern US to assess the effects of land-use change on microbial community structure and distribution. We used quantitative PCR to estimate bacterial-fungal ratios and clone libraries targeting small-subunit rRNA genes to independently characterize the bacterial and fungal communities. Although some soil properties (soil texture and nutrient status) did significantly differ across land-use types, other edaphic factors (e.g., pH) did not vary consistently with land-use. Bacterial-fungal ratios were not significantly different across the land-uses and distinct land-use types did not necessarily harbor distinct soil fungal or bacterial communities. Rather, the composition of bacterial and fungal communities was most strongly correlated with specific soil properties. Soil pH was the best predictor of bacterial community composition across this landscape while fungal community composition was most closely associated with changes in soil nutrient status. Together these results suggest that specific changes in edaphic properties, not necessarily land-use type itself, may best predict shifts in microbial community composition across a given landscape. In addition, our results demonstrate the utility of using sequence-based approaches to concurrently analyze bacterial and fungal communities as such analyses provide detailed phylogenetic information on individual communities and permit the robust assessment of the biogeographical patterns exhibited by soil microbial communities. (C) 2008 Elsevier Ltd. All rights reserved.