Table 1.
Effects | 16 S | ITS | GeoChip | Metagenomic sequencing | Metagenome EcoFUN-MAP | |||||
---|---|---|---|---|---|---|---|---|---|---|
F | P | F | P | F | P | F | P | F | P | |
Warming (W) | 4.200 | 0.001 | 2.314 | 0.001 | 2.505 | 0.026 | 8.059 | 0.001 | 2.924 | 0.001 |
Year (Y) | 2.432 | 0.001 | 1.595 | 0.001 | 12.216 | 0.001 | 4.398 | 0.001 | 2.323 | 0.001 |
W × Y | 1.178 | 0.092 | 1.055 | 0.224 | 1.385 | 0.092 | 1.350 | 0.170 | 1.135 | 0.084 |
Permutational multivariate analysis of variance (Adonis) was used based on Bray–Curtis dissimilarity matrices. The two-way repeated measures ANOVA model was set as dissimilarity~warming × year + block using function adonis in R package vegan. The degree of freedom was 1 for warming treatment, 6 for year and 39 for residuals. Significant effects (P ≤ 0.05) were shown in bold text. EcoFUN-MAP is a method designed for annotating metagenomic sequences by comparing them with functional genes used to fabricate GeoChip.