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高通量 RNA 微阵列同位素分析定量微生物资源利用。

High-throughput isotopic analysis of RNA microarrays to quantify microbial resource use.

机构信息

Physical and Life Science Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.

出版信息

ISME J. 2012 Jun;6(6):1210-21. doi: 10.1038/ismej.2011.175. Epub 2011 Dec 8.

Abstract

Most microorganisms remain uncultivated, and typically their ecological roles must be inferred from diversity and genomic studies. To directly measure functional roles of uncultivated microbes, we developed Chip-stable isotope probing (SIP), a high-sensitivity, high-throughput SIP method performed on a phylogenetic microarray (chip). This approach consists of microbial community incubations with isotopically labeled substrates, hybridization of the extracted community rRNA to a microarray and measurement of isotope incorporation--and therefore substrate use--by secondary ion mass spectrometer imaging (NanoSIMS). Laboratory experiments demonstrated that Chip-SIP can detect isotopic enrichment of 0.5 atom % (13)C and 0.1 atom % (15)N, thus permitting experiments with short incubation times and low substrate concentrations. We applied Chip-SIP analysis to a natural estuarine community and quantified amino acid, nucleic acid or fatty acid incorporation by 81 distinct microbial taxa, thus demonstrating that resource partitioning occurs with relatively simple organic substrates. The Chip-SIP approach expands the repertoire of stable isotope-enabled methods available to microbial ecologists and provides a means to test genomics-generated hypotheses about biogeochemical function in any natural environment.

摘要

大多数微生物仍然未被培养,通常必须从多样性和基因组研究中推断它们的生态作用。为了直接测量未培养微生物的功能作用,我们开发了 Chip-稳定同位素探测 (SIP),这是一种在系统发生微阵列 (Chip) 上进行的高灵敏度、高通量 SIP 方法。该方法包括用同位素标记的底物孵育微生物群落,提取的群落 rRNA 与微阵列杂交,并用二次离子质谱成像 (NanoSIMS) 测量同位素掺入 - 因此是底物利用。实验室实验表明,Chip-SIP 可以检测到 0.5 原子% (13)C 和 0.1 原子% (15)N 的同位素富集,因此可以进行短孵育时间和低底物浓度的实验。我们将 Chip-SIP 分析应用于天然河口群落,并定量了 81 种不同微生物类群的氨基酸、核酸或脂肪酸的掺入,从而证明了相对简单的有机底物存在资源分区。Chip-SIP 方法扩展了微生物生态学家可用的稳定同位素方法的范围,并提供了一种方法来测试基因组学产生的关于任何自然环境中生物地球化学功能的假设。

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