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模型细菌群落的脂肪酸甲酯图谱的准确性、可重复性和解释。

Accuracy, reproducibility, and interpretation of Fatty Acid methyl ester profiles of model bacterial communities.

机构信息

Center for Microbial Ecology, Michigan State University, East Lansing, Michigan 48824.

出版信息

Appl Environ Microbiol. 1994 Jul;60(7):2483-93. doi: 10.1128/aem.60.7.2483-2493.1994.

Abstract

We determined the accuracy and reproducibility of whole-community fatty acid methyl ester (FAME) analysis with two model bacterial communities differing in composition by using the Microbial ID, Inc. (MIDI), system. The biomass, taxonomic structure, and expected MIDI-FAME profiles under a variety of environmental conditions were known for these model communities a priori. Not all members of each community could be detected in the composite profile because of lack of fatty acid "signatures" in some isolates or because of variations (approximately fivefold) in fatty acid yield across taxa. MIDI-FAME profiles of replicate subsamples of a given community were similar in terms of fatty acid yield per unit of community dry weight and relative proportions of specific fatty acids. Principal-components analysis (PCA) of MIDI-FAME profiles resulted in a clear separation of the two different communities and a clustering of replicates of each community from two separate experiments on the first PCA axis. The first PCA axis accounted for 57.1% of the variance in the data and was correlated with fatty acids that varied significantly between communities and reflected the underlying community taxonomic structure. On the basis of our data, community fatty acid profiles can be used to assess the relative similarities and differences of microbial communities that differ in taxonomic composition. However, detailed interpretation of community fatty acid profiles in terms of biomass or community taxonomic composition must be viewed with caution until our knowledge of the quantitative and qualitative distribution of fatty acids over a wide variety of taxa and the effects of growth conditions on fatty acid profiles is more extensive.

摘要

我们使用微生物鉴定公司(MIDI)系统,确定了组成不同的两种模式细菌群落的全群落脂肪酸甲酯(FAME)分析的准确性和可重复性。这些模式群落的生物量、分类结构和预期的 MIDI-FAME 图谱在各种环境条件下都是事先已知的。由于某些分离物中缺乏脂肪酸“特征”,或者由于不同分类群之间脂肪酸产量的变化(约五倍),群落复合图谱中无法检测到每个群落的所有成员。给定群落的重复亚样本的 MIDI-FAME 图谱在每单位群落干重的脂肪酸产量和特定脂肪酸的相对比例方面相似。MIDI-FAME 图谱的主成分分析(PCA)导致两种不同群落的明显分离,以及每个群落的两个独立实验的重复样本聚类。第一主成分轴解释了数据中 57.1%的方差,并且与群落之间差异显著的脂肪酸相关,反映了群落的基础分类结构。根据我们的数据,群落脂肪酸图谱可用于评估在分类组成上存在差异的微生物群落的相对相似性和差异性。然而,在我们对广泛的分类群和生长条件对脂肪酸图谱的影响的脂肪酸定量和定性分布有更广泛的了解之前,必须谨慎地解释群落脂肪酸图谱在生物量或群落分类组成方面的详细信息。

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本文引用的文献

3
Characterization of bacteria that suppress rhizoctonia damping-off in bark compost media by analysis of Fatty Acid biomarkers.
Appl Environ Microbiol. 1989 Jun;55(6):1368-74. doi: 10.1128/aem.55.6.1368-1374.1989.
4
Characterization of benthic microbial community structure by high-resolution gas chromatography of Fatty Acid methyl esters.
Appl Environ Microbiol. 1980 Jun;39(6):1212-22. doi: 10.1128/aem.39.6.1212-1222.1980.
5
A rapid method of total lipid extraction and purification.
Can J Biochem Physiol. 1959 Aug;37(8):911-7. doi: 10.1139/o59-099.
7
Bacterial lipids.
Adv Lipid Res. 1964;2:17-90.
8
The pigments of Flexibacter elegans: novel and chemosystematically useful compounds.
Arch Microbiol. 1974;101(2):131-44. doi: 10.1007/BF00455933.

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