Fierer Noah, Bradford Mark A, Jackson Robert B
Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado 80309, USA.
Ecology. 2007 Jun;88(6):1354-64. doi: 10.1890/05-1839.
Although researchers have begun cataloging the incredible diversity of bacteria found in soil, we are largely unable to interpret this information in an ecological context, including which groups of bacteria are most abundant in different soils and why. With this study, we examined how the abundances of major soil bacterial phyla correspond to the biotic and abiotic characteristics of the soil environment to determine if they can be divided into ecologically meaningful categories. To do this, we collected 71 unique soil samples from a wide range of ecosystems across North America and looked for relationships between soil properties and the relative abundances of six dominant bacterial phyla (Acidobacteria, Bacteroidetes, Firmicutes, Actinobacteria, alpha-Proteobacteria, and the beta-Proteobacteria). Of the soil properties measured, net carbon (C) mineralization rate (an index of C availability) was the best predictor of phylum-level abundances. There was a negative correlation between Acidobacteria abundance and C mineralization rates (r2 = 0.26, P < 0.001), while the abundances of beta-Proteobacteria and Bacteroidetes were positively correlated with C mineralization rates (r2 = 0.35, P < 0.001 and r2 = 0.34, P < 0.001, respectively). These patterns were explored further using both experimental and meta-analytical approaches. We amended soil cores from a specific site with varying levels of sucrose over a 12-month period to maintain a gradient of elevated C availabilities. This experiment confirmed our survey results: there was a negative relationship between C amendment level and the abundance of Acidobacteria (r2 = 0.42, P < 0.01) and a positive relationship for both Bacteroidetes and beta-Proteobacteria (r2 = 0.38 and 0.70, respectively; P < 0.01 for each). Further support for a relationship between the relative abundances of these bacterial phyla and C availability was garnered from an analysis of published bacterial clone libraries from bulk and rhizosphere soils. Together our survey, experimental, and meta-analytical results suggest that certain bacterial phyla can be differentiated into copiotrophic and oligotrophic categories that correspond to the r- and K-selected categories used to describe the ecological attributes of plants and animals. By applying the copiotroph-oligotroph concept to soil microorganisms we can make specific predictions about the ecological attributes of various bacterial taxa and better understand the structure and function of soil bacterial communities.
尽管研究人员已开始对土壤中发现的细菌的惊人多样性进行编目,但我们在很大程度上无法在生态背景下解读这些信息,包括哪些细菌类群在不同土壤中最为丰富以及原因。通过这项研究,我们研究了主要土壤细菌门的丰度如何与土壤环境的生物和非生物特征相对应,以确定它们是否可以被划分为具有生态意义的类别。为此,我们从北美广泛的生态系统中收集了71个独特的土壤样本,并寻找土壤性质与六种主要细菌门(酸杆菌门、拟杆菌门、厚壁菌门、放线菌门、α-变形菌门和β-变形菌门)相对丰度之间的关系。在所测量的土壤性质中,净碳(C)矿化率(C有效性指标)是门水平丰度的最佳预测指标。酸杆菌门丰度与C矿化率呈负相关(r2 = 0.26,P < 0.001),而β-变形菌门和拟杆菌门的丰度与C矿化率呈正相关(分别为r2 = 0.35,P < 0.001和r2 = 0.34,P < 0.001)。使用实验和荟萃分析方法进一步探讨了这些模式。我们在12个月的时间里用不同水平的蔗糖改良了来自特定地点的土壤核心,以维持升高的C有效性梯度。该实验证实了我们的调查结果:C改良水平与酸杆菌门丰度之间存在负相关(r2 = 0.42,P < 0.01),而拟杆菌门和β-变形菌门则呈正相关(分别为r2 = 0.38和0.70;各自P < 0.01)。对这些细菌门的相对丰度与C有效性之间关系的进一步支持来自对已发表的来自大量土壤和根际土壤的细菌克隆文库的分析。我们的调查、实验和荟萃分析结果共同表明,某些细菌门可以分为富营养型和贫营养型类别,这与用于描述植物和动物生态属性的r-和K-选择类别相对应。通过将富营养-贫营养概念应用于土壤微生物,我们可以对各种细菌类群的生态属性做出具体预测,并更好地理解土壤细菌群落的结构和功能。