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沿河岸湿地水文学梯度的甲烷营养型微生物群落的空间格局。

Spatial patterns of methanotrophic communities along a hydrological gradient in a riparian wetland.

机构信息

Department of Microbial Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, The Netherlands.

出版信息

FEMS Microbiol Ecol. 2013 Oct;86(1):59-70. doi: 10.1111/1574-6941.12091. Epub 2013 Mar 11.

Abstract

Microbial communities display a variety of biogeographical patterns mainly driven by large-scale environmental gradients. Here, we analysed the spatial distribution of methane-oxidizing bacteria (MOB) and methane oxidation in a strongly fluctuating environment. We investigated whether the spatial variability of the MOB community can be explained by an environmental gradient and whether this changes with different plot sizes. We applied a pmoA-specific microarray to detect MOB, measured methane oxidation, methane emissions and soil properties. All variables were measured in a 10 × 10 m, 1 × 1 m and 20 × 20 cm plot and interpreted using a geostatistical approach. Methane oxidation as well as MOB displayed spatial patterns reflected in the underlying flooding gradient. Overlapping and contrasting spatial patterns for type I and type II MOB suggested different ecological life strategies. With smaller plot size, the environmental gradient could not explain the variability in the data and local factors became more important. In conclusion, environmental gradients can generally explain variability in microbial spatial patterns; however, we think that this does not contribute to a mechanistic explanation for microbial diversity because the relevant scales for microorganisms are much smaller than those normally measured.

摘要

微生物群落表现出多种生物地理格局,主要由大规模环境梯度驱动。在这里,我们分析了甲烷氧化菌(MOB)在强波动环境中的空间分布和甲烷氧化作用。我们研究了 MOB 群落的空间变异性是否可以用环境梯度来解释,以及这种解释是否会随着不同的样地大小而变化。我们应用了一种 pmoA 特异性微阵列来检测 MOB,测量了甲烷氧化、甲烷排放和土壤特性。所有变量均在 10×10 m、1×1 m 和 20×20 cm 的样地中进行测量,并采用地统计学方法进行解释。甲烷氧化和 MOB 均表现出空间格局,反映在潜在的淹没梯度中。I 型和 II 型 MOB 的重叠和对比空间格局表明了不同的生态生活策略。随着样地面积的减小,环境梯度不能解释数据的可变性,而局部因素变得更加重要。总之,环境梯度通常可以解释微生物空间格局的可变性;然而,我们认为这并不能为微生物多样性提供机制解释,因为微生物的相关尺度比通常测量的尺度小得多。

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