Mothur-metastats command(metastat丰度差异分析)
基于各分类学水平样品序列数的统计信息,可以比较某一特定物种在两个(组)样品之间丰度的差异情况,在统计学上是否存在显著性差异。
输入:
OTU Table文件:
OTU ID Bio1 Bio2 Bio3 Bio4 Bio5 Bio6 Bio7 Bio8 Bio9 Bio10
OTU1 0 0 0 0 0 6 34 104 367 254
OTU2 52 335 18 49 0 0 0 0 0 0
OTU3 0 0 0 0 5 0 0 0 0 0
样品分组信息表:
!!注:保证每个分组包含的样品数量不少于2(>=2),即每个分组都需要有重复样。
Bio1 group1
Bio2 group1
Bio3 group1
Bio4 group1
Bio5 group2
Bio6 group2
Bio7 group2
Bio8 group2
其他参数默认。
输出:
组间丰度差异分析结果:
OTU mean(group1) variance(group1) stderr(group1) mean(group2) variance(group2) stderr(group2) p-value q-value
OTU1 0.001123 0.000002 0.000666 0.000000 0.000000 0.000000 0.044141 0.096941
OTU2 0.000000 0.000000 0.000000 0.003412 0.000022 0.002356 0.099423 0.120657
OTU3 0.000042 0.000000 0.000042 0.000000 0.000000 0.000000 0.314421 0.137950
OTU4 0.000000 0.000000 0.000000 0.000291 0.000000 0.000102 0.001928 0.027043
OTU5 0.000000 0.000000 0.000000 0.000013 0.000000 0.000013 0.503021 0.214902
OTU6 0.000033 0.000000 0.000024 0.000146 0.000000 0.000091 0.180469 0.137950
OTU7 0.004893 0.000007 0.001321 0.000000 0.000000 0.000000 0.000412 0.018450
分析模块引用了mothur(v.1.35.0)的metastats命令。
相关文献如下所示:
Schloss, P.D., et al., Introducing mothur: Open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl Environ Microbiol, 2009. 75(23):7537-41.
The original tools:
Schloss, PD & Handelsman, J. (2006) Introducing SONS, a tool for OTU-based comparisons of membership and structure between microbial communities. Applied and Environmental Microbiology. 72:6773-9.
Schloss, PD & Handelsman, J. (2006). Introducing TreeClimber, a test to compare community structures. Applied and Environmental Microbiology. 72: 2379-84.
Schloss, PD & Handelsman, J. (2005). Introducing DOTUR, a computer program for defining operational taxonomic units and estimating species richness. Applied and Environmental Microbiology. 71:1501-6.
Schloss, PD, Larget, BR, & Handelsman J. (2004). Integration of microbial ecology and statistics: a test to compare gene libraries. Applied and Environmental Microbiology. 70:5485-92.