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. 2020 Nov 17;11(6):e02336-20. doi: 10.1128/mBio.02336-20

TABLE 2.

Correlation of operational taxonomic units with fitness dataa

OTU Taxonomic classification Adj. R2 SS(trace) Pseudo-F P value Prop Cumul Res df
OTU0142 Uncl. Prevotella 0.55 41.51 13.11 0.00 0.59 0.59 9
OTU0167 Uncl. Gammaproteobacteria 0.65 8.83 3.59 0.01 0.13 0.72 8
OTU0015 Neptuniibacter caesariensis 0.76 7.99 4.79 0.01 0.11 0.83 7
OTU0106 Uncl. Corynebacterium 0.84 5.00 4.49 0.01 0.07 0.90 6
OTU0065 Uncl. Arcobacter 0.90 3.10 4.34 0.01 0.04 0.95 5
OTU0267 Uncl. Gammaproteobacteria 0.93 1.70 3.64 0.03 0.02 0.97 4
OTU0003 Uncl. Alteromonas 0.95 0.91 2.87 0.08 0.01 0.99 3
OTU0110 Uncl. Gammaproteobacteria 0.97 0.58 3.04 0.12 0.01 0.99 2
OTU0085 SC3-56 0.99 0.29 3.23 0.25 0.00 1.00 1
OTU0355 Uncl. Proteobacteria 0.99 0.00 0.00 1.00 0.00 1.00 1
a

Distance based linear model (DistLM) analysis and sequential tests show predictors (operational taxonomic units [OTUs]) explaining the host fitness data structure in the best model (adjusted R2 = 0.99, R2 = 1.00, RSS [residual sums of squares] = 0.09, number of fitted variables = 10 OTUs) with a significance level of 0.05, which are marked in bold. Uncl., unclassified; Adj. R2, adjusted R2; SS(trace), sum of squares; Pseudo-F, multivariate analogue to Fisher’s F test; Prop, proportion of variance explained; Res df, residual degrees.