Network | Connectance | Nestedness | Generality | Vulnerability |
Q
bip
|
m
|
Q
R
|
---|
1 | 0.80 | 82.03 | 0.80 ± 0.25 | 0.80 ± 0.12 | 0.05 | 2 | 0.58 |
2 | 0.85 | 82.31 | 0.85 ± 0.11 | 0.85 ± 0.15 | 0.06 | 2 | 0.54 |
3 | 0.59 | 77.28 | 0.58 ± 0.28 | 0.58 ± 0.16 | 0.15 | 2 | 0.64 |
4 | 0.81 | 79.76 | 0.81 ± 0.29 | 0.81 ± 0.12 | – | – | – |
5 | 0.75 | 80.56 | 0.75 ± 0.30 | 0.75 ± 0.13 | 0.08 | 2 | 0.48 |
- Values for species-level metrics are mean ± standard deviation. Nestednesses (as measured by NODF) were higher than expected when tested against four null models (see Additional file 1). Generality (infection) and vulnerability (1 - resistance) are given as the proportions of the total number of bacteria exploited and associated exploiting phages respectively. Qbip and m are respectively Barber’s bipartite modularity score and the number of identified modules using LP-BRIM (see the ‘Methods’ section). QR is ‘realised’ modularity (Poisot 2013), i.e. the proportion of links occurring between species sharing a module (values close to 0.5 indicate that half of the links are established by isolates from different modules).