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首页> 外文期刊>Microbial Ecology: An International Journal >Impacts of carbon and flooding on soil microbial communities: phospholipid fatty acid profiles and substrate utilization patterns
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Impacts of carbon and flooding on soil microbial communities: phospholipid fatty acid profiles and substrate utilization patterns

机译:碳和洪水对土壤微生物群落的影响:磷脂脂肪酸谱和底物利用模式

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摘要

Phospholipid fatty acid (PLFA) profiles provide a robust measure that can be used to fingerprint the structure of soil microbial communities, and measure their biomass. A replicated field trial, with gradients in substrate and O2 availability created by straw incorporation and flooding was used to test the ability of PLFA to discriminate soil microbial communities in different management regimes. Another objective was to test the usefulness, on a large scale, of some of the proposed interpretationsof PLFA biomarkers. Using a direct gradient statistical analysis method, PLFA profiles were found to be very sensitive to flooding and straw treatments. Relative abundances of monounsaturated fatty acids were reduced with flooding and increased with added carbon, consistent with their proposed interpretations as indicators of aerobic conditions and high substrate availability. The cyclopropyl fatty acids were not useful as taxonomic indicators of respiratory type, although their responses were consistent with their proposed use as growth condition indicators. Branched fatty acids decreased, as a group, in response to high substrate conditions. A specific biomarker for Type II methanotrophs was not found in this rice soil, even under high carbon, low O2 conditions, which resulted in methane exposure in the soil. Direct comparison of PLFA and substrate utilization patterns indicated that Biolog patterns are highly selective, and do not reflect compositional changes in soil communities.
机译:磷脂脂肪酸(PLFA)谱提供了一种可靠的方法,可用于指纹识别土壤微生物群落的结构并测量其生物量。一项重复的田间试验,通过秸秆混入和淹水在基质和O2利用率方面产生了梯度,以测试PLFA在不同管理制度下区分土壤微生物群落的能力。另一个目标是大规模测试某些提出的解释PLFA生物标志物的有用性。使用直接梯度统计分析方法,发现PLFA剖面对洪水和稻草处理非常敏感。单不饱和脂肪酸的相对丰度随着驱油而降低,并随着碳的添加而增加,这与它们作为有氧条件和高底物利用率指标的拟议解释一致。环丙基脂肪酸不能用作呼吸类型的分类指标,尽管它们的反应与拟定的生长条件指标一致。响应于高底物条件,支链脂肪酸作为一个整体下降。即使在高碳,低氧气条件下,在水稻土壤中也没有发现II型甲烷营养生物的特定生物标记,这导致土壤中甲烷的暴露。对PLFA和底物利用模式的直接比较表明,Biolog模式具有很高的选择性,并且不能反映土壤群落的组成变化。

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