Table 1.
Taxa contributing to the classification of child versus adult gut communities
| Analysis type | Taxon identity (OTU or species) | Random forests importance score | Mean relative abundance (%)a | White’s non-parametric t-test | ||
|---|---|---|---|---|---|---|
| Child | Adult | p value | q value | |||
| 16S | OTU_1555 Anaerovorax | 6.77 | 0.23 | 0.16 | 9.99E−04 | 0.028 |
| 16S | OTU_1412 Bifidobacterium | 6.07 | 0.34 | 0.01 | 9.99E−04 | 0.028 |
| 16S | OTU_1015 Faecalibacterium | 5.28 | 8.26 | 3.52 | 9.99E−04 | 0.028 |
| 16S | OTU_411 Collinsella | 4.79 | 0.20 | 0.01 | 9.99E−04 | 0.028 |
| 16S | OTU_2162 Lachnospiraceae Incertae Sedis | 4.74 | 0.93 | 0.28 | 9.99E−04 | 0.028 |
| 16S | OTU_2956 Porphyromonadaceae | 4.69 | 0.01 | 0.08 | 9.99E−04 | 0.028 |
| 16S | OTU_3384 Bacteroides | 4.24 | 0.08 | 0.20 | 9.99E−04 | 0.028 |
| 16S | OTU_4352 Lachnospiraceae | 4.04 | 3.52 | 1.65 | 1.99E−03 | 0.053 |
| 16S | OTU_1928 Ruminococcaceae | 3.60 | 0.38 | 0.08 | 9.99E−04 | 0.028 |
| 16S | OTU_987 Ruminococcaceae | 3.53 | 0.57 | 0.09 | 9.99E−04 | 0.028 |
| WGS | Bifidobacterium longum | 6.01 | 6.54 | 0.24 | 9.99E−04 | 0.018 |
| WGS | Eggerthella lenta | 5.44 | 0.06 | 0.01 | 1.00 | 1.000 |
| WGS | Porphyromonas asaccharolytica | 5.13 | 6.30E−03 | 0.03 | 4.92E−01 | 0.888 |
| WGS | Clostridium asparagiforme | 5.13 | 1.24E−02 | 6.67E−03 | 1.00 | 1.000 |
| WGS | Streptococcus sanguinis | 4.64 | 0.01 | 4.09E−04 | 1.00 | 1.000 |
| WGS | Faecalibacterium prausnitzii | 4.63 | 7.39 | 1.31 | 9.99E−04 | 0.018 |
| WGS | Faecalibacterium cf | 4.56 | 4.47 | 0.68 | 9.99E−04 | 0.018 |
| WGS | Bifidobacterium catenulatum | 4.37 | 0.33 | 0.02 | 8.40E−03 | 0.069 |
| WGS | Gordonibacter pamelaeae | 3.94 | 0.21 | 0.01 | 6.30E−02 | 0.313 |
| WGS | Granulicatella adiacens | 3.76 | 1.00E−03 | 6.36E−06 | 1.00 | 1.000 |
Taxa were identified as a function of their Random Forests permutation importance values. OTU identities were generated using the RDP Classifier with a confidence threshold of 50 %, and species identities were generated from the shotgun metagenomic libraries using MetaPhlAn. Differences in the relative abundance of each taxon were evaluated using two-tailed White’s non-parametric t-test, and Storey’s false discovery rate estimator was used to correct for multiple testing corrections within each data set (i.e., 16S, WGS)
a n = 37 children and 43 adults in the OTU-based analysis and 22 children and 22 adults in the WGS-based analysis