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Phospholipid fatty acid profiles and carbon utilization patterns for analysis of microbial community structure under field and greenhouse conditions

机译:在田间和温室条件下分析微生物群落结构的磷脂脂肪酸谱和碳利用模式

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The description of soil microbial community structure by phospholipid fatty acid (PLFA) profiles is based on the relationship between the phylogeny of microorganisms and their PLFA profiles. Based on this relationship, two community based microbiological measurements, namely, potential C source utilization patterns in Biolog microtiter plates and PLFA profiles were used to examine metabolic fingerprints of soil microbial communities and changes in species composition between field and greenhouse soils. Field and greenhouse experiments were conducted using Palouse and Ritzville silt loams. Soil sampled under wheat (Triticum aestivum L.), barley (Hordeum vulgare L.), pea (Pisum sativa L.), jointed goatgrass (Aegilops cylindrica L.), downy brome (Bromus tectorum L.), and control soils (no plants) were used for these analyses. Principal component analysis (PCA) of PLFA profiles and C source utilization patterns were used to describe changes in microbial biomass and metabolic fingerprints from the two soil types under field and greenhouse conditions. Biomass measurements from extractable PLFA profiles per g dry weight ranged from 28.8 nmol in wheat soil in the greenhouse to 71.4 nmol in pea soil in the field. In general, biomass was higher in all the field samples than in greenhouse samples. Principal component analysis of the two soils with different plants in the field and greenhouse showed clear separation. Principal component analysis of C utilization patterns on the effects of environment on soil microbial community yielded similar results with PLFA measurements. However, higher variability observed among different plants with the Biolog data resulted in the low amount of variance for Biolog data explained by the first two dimensions of the PCA. This suggests that PLFA may be more sensitive for community analysis than the Biolog technique. (C) 1998 Published by Elsevier Science B.V. All rights reserved. [References: 35]
机译:用磷脂脂肪酸(PLFA)图谱描述土壤微生物群落结构是基于微生物的系统发育与其PLFA图谱之间的关系。基于这种关系,使用两种基于群落的微生物学测量方法,即Biolog微量滴定板中潜在的C源利用模式和PLFA分布图,检查土壤微生物群落的代谢指纹以及田间土壤与温室土壤之间物种组成的变化。使用Palouse和Ritzville淤泥壤土进行了田间和温室试验。在小麦(Triticum aestivum L.),大麦(Hordeum vulgare L.),豌豆(Pisum sativa L.),节理山羊草(Aegilops cylindrica L.),霜霉病(Bromus tectorum L.)和对照土壤(no)下取样的土壤植物)用于这些分析。 PLFA谱和C源利用模式的主成分分析(PCA)用于描述田间和温室条件下两种土壤类型的微生物生物量和代谢指纹的变化。每克干重可提取的PLFA分布图的生物质测量范围从温室小麦土壤中的28.8 nmol到田间豌豆土壤中的71.4 nmol。通常,所有田间样品的生物量均高于温室样品。在田间和温室中两种不同植物的土壤的主成分分析表明分离清晰。碳利用模式对环境对土壤微生物群落影响的主成分分析与PLFA测量结果相似。但是,使用Biolog数据在不同植物之间观察到的较高变异性导致PCA的前两个维度解释了Biolog数据的低方差量。这表明PLFA可能比Biolog技术对社区分析更为敏感。 (C)1998,Elsevier Science B.V.保留所有权利。 [参考:35]

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