The primary case is not enough: Variation among individuals, groups and social networks modify bacterial transmission dynamics.

摘要: The traits of the primary case an infectious disease outbreak, and circumstances for their aetiology, potentially influence trajectory transmission dynamics. However, these dynamics likely also depend on individuals with whom interacts. We used social spider Stegodyphus dumicola to test how case, group phenotypic composition size interact facilitate a GFP-labelled cuticular bacterium. compared bacterial across experimentally generated "daisy-chain" vs. "star" networks interactions. Finally, we network structure groups different sizes. Groups 10 spiders experienced more events 30 spiders, regardless groups' behavioural composition. containing only one bold lowest levels size. found no evidence influencing any In second experiment, bacteria were transmitted in induced star than daisy-chains, which never exceeded three steps. both experimental types, success depended jointly interacting individuals; however, important networks. Larger exhibited lower interaction density (i.e. had low ratio observed possible connections) modular, i.e. they connections between nodes within subgroup fewer subgroups. Thus, larger may restrict by forming interactions isolating subgroups that interacted case. These findings suggest accounting single exposed hosts has less power predicting scale factors reside. Factors like appear alter patterns, leads differential microbes.