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UniFrac——一种用于在系统发育背景下比较微生物群落多样性的在线工具。

UniFrac--an online tool for comparing microbial community diversity in a phylogenetic context.

作者信息

Lozupone Catherine, Hamady Micah, Knight Rob

机构信息

Department of Molecular, Cellular, and Developmental Biology, University of Colorado, Boulder, CO 80309, USA.

出版信息

BMC Bioinformatics. 2006 Aug 7;7:371. doi: 10.1186/1471-2105-7-371.

Abstract

BACKGROUND

Moving beyond pairwise significance tests to compare many microbial communities simultaneously is critical for understanding large-scale trends in microbial ecology and community assembly. Techniques that allow microbial communities to be compared in a phylogenetic context are rapidly gaining acceptance, but the widespread application of these techniques has been hindered by the difficulty of performing the analyses.

RESULTS

We introduce UniFrac, a web application available at http://bmf.colorado.edu/unifrac, that allows several phylogenetic tests for differences among communities to be easily applied and interpreted. We demonstrate the use of UniFrac to cluster multiple environments, and to test which environments are significantly different. We show that analysis of previously published sequences from the Columbia river, its estuary, and the adjacent coastal ocean using the UniFrac interface provided insights that were not apparent from the initial data analysis, which used other commonly employed techniques to compare the communities.

CONCLUSION

UniFrac provides easy access to powerful multivariate techniques for comparing microbial communities in a phylogenetic context. We thus expect that it will provide a completely new picture of many microbial interactions and processes in both environmental and medical contexts.

摘要

背景

超越成对显著性检验以同时比较多个微生物群落对于理解微生物生态学和群落组装的大规模趋势至关重要。允许在系统发育背景下比较微生物群落的技术正在迅速得到认可,但其广泛应用因进行分析的难度而受阻。

结果

我们推出了UniFrac,这是一个可在http://bmf.colorado.edu/unifrac上获取的网络应用程序,它能轻松应用和解释几种用于群落差异的系统发育测试。我们展示了使用UniFrac对多个环境进行聚类,并测试哪些环境存在显著差异。我们表明,使用UniFrac界面分析先前发表的来自哥伦比亚河、其河口和相邻沿海水域的序列,能提供从最初数据分析中不明显的见解,最初的数据分析使用了其他常用技术来比较群落。

结论

UniFrac提供了便捷途径,可使用强大的多变量技术在系统发育背景下比较微生物群落。因此,我们预计它将为环境和医学背景下的许多微生物相互作用和过程提供全新的图景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1529/1564154/8fa6bb504511/1471-2105-7-371-1.jpg

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