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Vishnempet Shridhar, S.

Publications and source records attributed to Vishnempet Shridhar, S..

2 recordsLinked to original sources

Social network cycle motifs and gut microbiome strain-sharing

Microbes are commonly transmitted through human social interactions, yet little is known about how higher-order social network structures shape microbial circulation. Here, we analyze network cycles, i.e., closed loops of individuals, in both friendship networks and microbial networks, across 1,787 individuals from 18 isolated Honduran villages. Using strain-level resolution, we construct species-specific microbial networks, study their cyclic structure, and compare them with the social networks in the same population. Cycles were strongly over-represented relative to degree-preserving randomized networks in both social and microbial networks for most species, indicating that microbial transmission frequently occurs within recurrent and clustered groups of hosts. However, the overlap between microbial and social cycles varies substantially across species and individuals, and regression analyses identify a small subset of species whose cyclic sharing patterns are associated with social cycle participation. Notably, several anaerobic species show negative associations, suggesting reliance on repeated local exposures or shared environments only partially aligned with social ties. Consistent with this, many species exhibit niche-like transmission pathways independent of social network structure. Together, these findings show that microbial sharing networks exhibit rich higher-order organization that only partially mirrors human social networks and that reveals that network cycles can provide a useful framework for understanding how repeated exposure might contribute to microbial spread.

microbiology↗

Detailed Social Network Interactions and Gut Microbiome Strain-Sharing Within Isolated Honduras Villages

When humans assemble into face-to-face social networks, they create an extended environment that permits exposure to the microbiome of other members of a population. Social network interactions may thereby also shape the composition and diversity of the microbiome at individual and population levels. Here, we use comprehensive social network and detailed microbiome sequencing data in 1,098 adults across 9 isolated villages in Honduras to investigate the relationship between social network structure and microbiome composition. Using both species-level and strain-level data, we show that microbial sharing occurs between many relationship types, notably including non-familial and non-household connections. Using strain-sharing data alone, we can confidently predict a wide variety of relationship types (AUC ~0.73). This strain-level sharing extends to second-degree social connections in a network, suggesting the importance of the extended network with respect to microbiome composition. We also observe that socially central individuals are more microbially similar to the overall village than those on the social periphery. Finally, we observe that clusters of microbiome species and strains occur within clusters of people in the village social networks, providing the social niches in which microbiome biology and phenotypic impact are manifested.

microbiology↗