Table 3. Pairwise comparisons between RAS and AS systems based on DGGE and 454 pyrosequencing data sets.
Statistical test | Analytical Method | RAS vs. AS | |||||
D00 | D07 | D14 | D28 | D42 | |||
Perm. ANOVA | GUT | DGGE | P:0.0710 | P:0.0022 | P:0.0202 | P:0.0063 | P:0.0099 |
454 | NA | P:0.0152 | NA | NA | P:0.0056 | ||
ANOSIM | DGGE | R:0.244 P:0.0020 | R:0.731 P:0.0001 | R:0.496 P:0.0001 | R:0.881 P:0.0001 | R:0.872 P:0.0001 | |
454 | NA | R:1 P:0.0001 | NA | NA | R:1 P:0.0001 | ||
Perm. ANOVA | WATER | DGGE | P:0.0983 | P:0.008 | P:0.0187 | P:0.0136 | P:0.0062 |
ANOSIM | R:0.820 P:0.0010 | R:0.944 P:0.0010 | R:0.940 P:0.0003 | R:1 P:0.0020 | R:0.990 P:0.0020 |
Tests were performed by sample type per sampling day, with P values for each comparison from two different statistical tests (PERMANOVA and ANOSIM). ANOSIM analysis is complementary to PERMANOVA as it provides information on the degree of separation between groups, suggested by R statistic. N.A.: No pyrosequencing data available for that day. D00, 07, 14, 28, 42: sampling day 0,7,14,28 & 42 respectively, AS1-5: replicate active suspension system 1 till 5, Ra & Rb: replicate recirculating system a & b. P values are based on 9999 Monte Carlo permutations.