Lozupone Catherine, Hamady Micah, Knight Rob
Department of Molecular, Cellular, and Developmental Biology, University of Colorado, Boulder, CO 80309, USA.
BMC Bioinformatics. 2006 Aug 7;7:371. doi: 10.1186/1471-2105-7-371.
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.
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.
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.
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。
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。