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频繁的冻融循环会导致两种温带土壤中微生物群落的减少,但具有抗性和响应性:一项实验室实验。

Frequent freeze-thaw cycles yield diminished yet resistant and responsive microbial communities in two temperate soils: a laboratory experiment.

机构信息

Department of Animal Science, Biotechnical Faculty, Chair for Microbiology and Microbial Biotechnology, University of Ljubljana, Domžale, Slovenia.

出版信息

FEMS Microbiol Ecol. 2010 Nov;74(2):323-35. doi: 10.1111/j.1574-6941.2010.00951.x. Epub 2010 Aug 23.

Abstract

Few studies have been conducted on adaptations of microbial communities to low and fluctuating temperatures using environmentally relevant conditions. In this study, six Himalayan and two temperate soils were selected as candidates for low-temperature/freeze-thaw (FT)-adapted and susceptible soils, respectively. Redundancy analysis with forward selection was used to create a model of environmental parameters explaining variability in the initial microbial abundance and 4 °C activities. The best predictor was soil carbon, explaining more than 74% of data variability (P=0.002), despite significant differences in the soil characteristics and environmental history. We tested the hypothesis that the reproduced Himalayan FT fluctuations select physiologically similar communities in distinct soils. Microcosms were experimentally subjected to two separate 50 and 60 FT cycle (FTC) experiments. A significant decrease in abundance, 4 °C basal respiration and drastic rearrangements in community-level physiological profiles (CLPP) were observed in microcosms with temperate soils until 40 FTC. CLPP remained distinct from those of the Himalayan soils. Minor changes were observed in the Himalayan soils, confirming that microbial populations with physiological traits consistent with the noncontinuous permafrost conditions reside in the Himalayan soils, whereas the surviving temperate soil microorganisms actively adjusted to novel environmental conditions.

摘要

很少有研究采用与环境相关的条件来研究微生物群落对低温和波动温度的适应。在这项研究中,选择了 6 种喜马拉雅土壤和 2 种温带土壤,分别作为低温/冻融(FT)适应和敏感土壤的候选土壤。采用向前选择的冗余分析来创建一个模型,以解释初始微生物丰度和 4°C 活性的环境参数变异性。最佳预测因子是土壤碳,尽管土壤特性和环境历史存在显著差异,但它解释了超过 74%的数据变异性(P=0.002)。我们测试了以下假设:重现的喜马拉雅 FT 波动会在不同的土壤中选择生理相似的群落。微宇宙进行了两次独立的 50 和 60 次 FT 循环(FTC)实验。在具有温带土壤的微宇宙中,观察到丰度、4°C 基础呼吸和群落水平生理特征(CLPP)的剧烈重组显著下降,直到进行了 40 次 FTC。CLPP 仍然与喜马拉雅土壤的不同。在喜马拉雅土壤中观察到的变化较小,这证实了具有与非连续多年冻土条件一致的生理特征的微生物种群存在于喜马拉雅土壤中,而存活的温带土壤微生物则积极适应新的环境条件。

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