Abstract

In group-living animals, heterogeneity in individuals’ social connections may mediate the sharing of microbial infectious agents. In this regard, the genetic relatedness of individuals’ commensal gut bacterium Escherichia coli may be ideal to assess the potential for pathogen transmission through animal social networks. Here we use microbial phylogenetics and population genetics approaches, as well as host social network reconstruction, to assess evidence for the contact-mediated sharing of E. coli among three groups of captively housed rhesus macaques (Macaca mulatta), at multiple organizational scales. For each group, behavioral data on grooming, huddling, and aggressive interactions collected for a six-week period were used to reconstruct social network communities via the Data Cloud Geometry (DCG) clustering algorithm. Further, an E. coli isolate was biochemically confirmed and genotypically fingerprinted from fecal swabs collected from each macaque. Population genetics approaches revealed that Group Membership, in comparison to intrinsic attributes like age, sex, and/or matriline membership of individuals, accounted for the highest proportion of variance in E. coli genotypic similarity. Social network approaches revealed that such sharing was evident at the community-level rather than the dyadic level. Specifically, although we found no links between dyadic E. coli similarity and social contact frequencies, similarity was significantly greater among macaques within the same social network communities compared to those across different communities. Moreover, tests for one of our study-groups confirmed that E. coli isolated from macaque rectal swabs were more genotypically similar to each other than they were to isolates from environmentally deposited feces. In summary, our results suggest that among frequently interacting, spatially constrained macaques with complex social relationships, microbial sharing via fecal-oral, social contact-mediated routes may depend on both individuals’ direct connections and on secondary network pathways that define community structure. They lend support to the hypothesis that social network communities may act as bottlenecks to contain the spread of infectious agents, thereby encouraging disease control strategies to focus on multiple organizational scales. Future directions includeincreasing microbial sampling effort per individual to better-detect dyadic transmission events, and assessments of the co-evolutionary links between sociality, infectious agent risk, and host immune function.

Highlights

  • In social systems, understanding the dynamics of infectious agent transmission among individuals remains critical for the development of disease control strategies (Alexander, 1974; Drewe & Perkins, 2015; McCowan et al, 2016; Nunn, 2012; Schmid-Hempel, 2017)

  • Permutation tests associated with the AMOVAs showed that the genetic variance across different groups was significantly greater than chance datasets in which group membership was assigned randomly to the isolates

  • We use the microbial phylogenetics of a model commensal gut bacterium E. coli, along with social network reconstruction to establish a basis for social-contact mediated microbial sharing among captive groups of rhesus macaques at multiple organizational scales

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Summary

Introduction

In social systems, understanding the dynamics of infectious agent transmission among individuals remains critical for the development of disease control strategies (Alexander, 1974; Drewe & Perkins, 2015; McCowan et al, 2016; Nunn, 2012; Schmid-Hempel, 2017). Across a wide range of taxa, epidemiological studies have revealed strong links between the prevalence and diversity of infectious agents, and exposure to contact-based social interactions among individuals (reviewed in Drewe & Perkins, 2015; Rushmore, Bisanzio & Gillespie, 2017; VanderWaal & Ezenwa, 2016). We use the diverse phylogenetic relationships of such a microbe, gut Escherichia coli (or E. coli), along with social network analyses, to assess social contact-mediated microbial sharing among captive rhesus macaques (Macaca mulatta) at multiple scales of social organization. Without an assessment of microbial similarity, such studies can only indirectly infer whether microbial sharing or transmission might occur via social and/or space-use networks, rather than confirm that transmission did occur

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