Table 2.
Factors influencing the α-diversity
| Observed ASVs | Simpson evenness | Phylogenetic diversity | ||||
|---|---|---|---|---|---|---|
| F value | P value | F value | P value | F value | P value | |
| All sample types | ||||||
| Cohort | 1.42 | 0.23 | 1.01 | 0.32 | 2.01 | 0.16 |
| Sample type | 78.42 | < 2.2e-16 | 10.53 | 4.2E-05 | 110.79 | < 2.2e-16 |
| Day | 8.35 | 4.1E-09 | 0.74 | 0.64 | 7.06 | 1.1E-07 |
| Hemolymph | ||||||
| Cohort | 2.80 | 0.10 | 2.24 | 0.14 | 3.11 | 0.08 |
| Day | 3.66 | 1.5E-03 | 1.01 | 0.43 | 2.84 | 9.7E-03 |
| Hepatopancreas | ||||||
| Cohort | 1.91 | 0.17 | 3.04 | 0.08 | 1.62 | 0.21 |
| Day | 2.63 | 0.01 | 1.37 | 0.23 | 2.37 | 0.03 |
We tested the impact of several factors (cohort, sample type and day) using linear mixed-effects models followed by an ANOVA on the different α-diversity metrics: observed ASVs, Simpson evenness and Faith’s phylogenetic diversity. The additive models included all three sample types (hemolymph, hepatopancreas, environmental water) or were run individually for hemolymph and hepatopancreas samples. Factors with P < 0.05 show a significant influence on the metrics tested. The degree of influence is highlighted by the F value, a high F value corresponding to a greater effect of the factor