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基于16S rRNA基因的寡核苷酸微阵列用于β-变形菌纲“红环菌目”的环境监测

16S rRNA gene-based oligonucleotide microarray for environmental monitoring of the betaproteobacterial order "Rhodocyclales".

作者信息

Loy Alexander, Schulz Claudia, Lücker Sebastian, Schöpfer-Wendels Andreas, Stoecker Kilian, Baranyi Christian, Lehner Angelika, Wagner Michael

机构信息

Department of Microbial Ecology, Institute of Ecology and Conservation Biology, University of Vienna, Vienna, Austria.

出版信息

Appl Environ Microbiol. 2005 Mar;71(3):1373-86. doi: 10.1128/AEM.71.3.1373-1386.2005.

Abstract

For simultaneous identification of members of the betaproteobacterial order "Rhodocyclales" in environmental samples, a 16S rRNA gene-targeted oligonucleotide microarray (RHC-PhyloChip) consisting of 79 probes was developed. Probe design was based on phylogenetic analysis of available 16S rRNA sequences from all cultured and as yet uncultured members of the "Rhodocyclales." The multiple nested probe set was evaluated for microarray hybridization with 16S rRNA gene PCR amplicons from 29 reference organisms. Subsequently, the RHC-PhyloChip was successfully used for cultivation-independent "Rhodocyclales" diversity analysis in activated sludge from an industrial wastewater treatment plant. The implementation of a newly designed "Rhodocyclales"-selective PCR amplification system prior to microarray hybridization greatly enhanced the sensitivity of the RHC-PhyloChip and thus enabled the detection of "Rhodocyclales" populations with relative abundances of less than 1% of all bacteria (as determined by fluorescence in situ hybridization) in the activated sludge. The presence of as yet uncultured Zoogloea-, Ferribacterium/Dechloromonas-, and Sterolibacterium-related bacteria in the industrial activated sludge, as indicated by the RHC-PhyloChip analysis, was confirmed by retrieval of their 16S rRNA gene sequences and subsequent phylogenetic analysis, demonstrating the suitability of the RHC-PhyloChip as a novel monitoring tool for environmental microbiology.

摘要

为了同时鉴定环境样品中β-变形菌纲“红环菌目”的成员,开发了一种由79个探针组成的靶向16S rRNA基因的寡核苷酸微阵列(RHC-系统发生芯片)。探针设计基于对“红环菌目”所有已培养和未培养成员的可用16S rRNA序列的系统发育分析。对该多重嵌套探针集与来自29种参考生物的16S rRNA基因PCR扩增子进行微阵列杂交评估。随后,RHC-系统发生芯片成功用于对一家工业废水处理厂活性污泥中“红环菌目”进行不依赖培养的多样性分析。在微阵列杂交之前实施新设计的“红环菌目”选择性PCR扩增系统,大大提高了RHC-系统发生芯片的灵敏度,从而能够检测活性污泥中相对丰度低于所有细菌1%(通过荧光原位杂交测定)的“红环菌目”菌群。RHC-系统发生芯片分析表明工业活性污泥中存在尚未培养的动胶菌属、铁杆菌属/脱氯单胞菌属和甾醇杆菌属相关细菌,通过检索它们的16S rRNA基因序列并进行后续系统发育分析得到证实,证明RHC-系统发生芯片作为环境微生物学新型监测工具的适用性。

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