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首页> 外文期刊>Applied and Environmental Microbiology >Automated Approach for Ribosomal Intergenic Spacer Analysis of Microbial Diversity and Its Application to Freshwater Bacterial Communities
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Automated Approach for Ribosomal Intergenic Spacer Analysis of Microbial Diversity and Its Application to Freshwater Bacterial Communities

机译:微生物多样性的核糖体基因间间隔物自动化分析方法及其在淡水细菌群落中的应用

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An automated method of ribosomal intergenic spacer analysis (ARISA) was developed for the rapid estimation of microbial diversity and community composition in freshwater environments. Following isolation of total community DNA, PCR amplification of the 16S-23S intergenic spacer region in the rRNA operon was performed with a fluorescence-labeled forward primer. ARISA-PCR fragments ranging in size from 400 to 1,200 bp were next discriminated and measured by using an automated electrophoresis system. Database information on the 16S-23S intergenic spacer was also examined, to understand the potential biases in diversity estimates provided by ARISA. In the analysis of three natural freshwater bacterial communities, ARISA was rapid and sensitive and provided highly reproducible community-specific profiles at all levels of replication tested. The ARISA profiles of the freshwater communities were quantitatively compared in terms of both their relative diversity and similarity level. The three communities had distinctly different profiles but were similar in their total number of fragments (range, 34 to 41). In addition, the pattern of major amplification products in representative profiles was not significantly altered when the PCR cycle number was reduced from 30 to 15, but the number of minor products (near the limit of detection) was sensitive to changes in cycling parameters. Overall, the results suggest that ARISA is a rapid and effective community analysis technique that can be used in conjunction with more accurate but labor-intensive methods (e.g., 16S rRNA gene cloning and sequencing) when fine-scale spatial and temporal resolution is needed.
机译:开发了一种自动的核糖体基因间间隔子分析方法(ARISA),用于快速估算淡水环境中的微生物多样性和群落组成。分离总群落DNA后,使用荧光标记的正向引物对rRNA操纵子中的16S-23S基因间隔区进行PCR扩增。接下来,使用自动电泳系统区分和测量大小在400到1200 bp之间的ARISA-PCR片段。还检查了关于16S-23S基因间隔子的数据库信息,以了解ARISA提供的多样性估计中的潜在偏见。在对三个天然淡水细菌群落的分析中,ARISA快速而灵敏,并在所有测试的复制水平上提供了高度可重复的群落特异性谱。就淡水群落的相对多样性和相似性水平进行了定量比较。这三个社区的概况截然不同,但片段总数相似(范围34至41)。另外,当PCR循环数从30减少到15时,代表谱中主要扩增产物的模式没有显着改变,但是次要产物的数目(接近检测极限)对循环参数的变化敏感。总体而言,结果表明ARISA是一种快速有效的社区分析技术,可在需要精细的时空分辨率时与更准确但劳动强度大的方法(例如16S rRNA基因克隆和测序)结合使用。

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