, 2006). UniFrac is a tree-based metric that measures the distance between two communities as the fraction of branch length in a phylogenetic tree that is unique to one of the communities (as opposed to being shared

by both). This method of community comparison accounts for the relative similarities and differences among phylotypes (or higher taxa) rather than treating all taxa at a given level of divergence as equal (Lozupone & Knight, 2008). Although UniFrac depends on a phylogenetic tree, it is relatively robust to differences in the tree reconstruction method or to the approximation of using phylotypes to represent groups of very similar sequences (Hamady et al., 2009). UniFrac calculates the unique fraction of branch length for a sample from a phylogenetic tree constructed from each pair of samples in a data set. Because the UniFrac metric is a phylogenetic estimate of community similarity, it avoids some of the problems associated with analyses that compare communities http://www.selleckchem.com/products/AZD2281(Olaparib).html at arbitrarily defined levels of sequence similarity (Lozupone & Knight, 2008; Hamady & Knight, 2009). The

phylogenetic diversity of each sample was determined from 1000 randomly selected sequences per sample using Faith’s phylogenetic diversity metric (Faith’s PD; Faith, 1992), which calculates the amount of branch length for each sample within the relaxed neighbor-joining Nintedanib in vivo tree. The taxonomic identity of each phylotype was determined using the RDPII taxonomy (60% minimum threshold) (Cole et al., 2005). All sequences have been deposited in the GenBank short read archive

(accession number SRA012078.1). The effect of temperature and length of storage on the relative taxon abundance (minimum 1% abundance per sample–treatment combination) was assessed using the Kruskal–Wallis test in systat 11.0 for sequences classified to the level of order (fecal and skin) or family (soil). Statistical differences in the overall community composition (UniFrac distances) these were assessed within each sample type using the permanova package in primer v6 using Sample, Day, Temperature and Day × Temperature as the main factors. Pairwise UniFrac distances were visualized by nonmetric multidimensional scaling in primer v6 (Clarke & Warwick, 2001). Differences in Faith’s PD due to the temperature and length of storage were assessed using the Kruskal–Wallis test. After eliminating low-quality sequences, the number of reads ranged from 1304 to 3022 per subsample, with an average of 2019 sequences per subsample and a total of 290 696 sequences for the data set. One subsample was excluded from the data set (Fecal 1 Day 14, 20 °C replicate 2) due to visible fungal growth before DNA extraction. Each sample type yielded a similar total number of bacterial 16S rRNA gene sequences (97 943 for feces, 97 527 for skin and 95 226 for soil). These distinct sample types harbored communities that were distinct with respect to their composition and diversity (Figs 1 and 2 and Tables 1 and 2).