Transmission of human-associated microbiota along family and social networks

The human microbiome, described as an accessory organ because of the crucial functions it provides, is composed of species that are uniquely found in humans1,2. Yet, surprisingly little is known about the impact of routine interpersonal contacts in shaping microbiome composition. In a relatively ‘cl...

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Chi tiết về thư mục
Những tác giả chính: Brito, Ilana L., Gurry, Thomas Jerome, Zhao, Shijie, Huang, Katherine, Young, Sarah K., Shea, Terrence P., Naisilisili, Waisea, Jenkins, Aaron P., Jupiter, Stacy D., Gevers, Dirk, Alm, Eric J
Tác giả khác: Massachusetts Institute of Technology. Department of Biological Engineering
Định dạng: Bài viết
Ngôn ngữ:English
Được phát hành: Springer Science and Business Media LLC 2020
Truy cập trực tuyến:https://hdl.handle.net/1721.1/126322
Miêu tả
Tóm tắt:The human microbiome, described as an accessory organ because of the crucial functions it provides, is composed of species that are uniquely found in humans1,2. Yet, surprisingly little is known about the impact of routine interpersonal contacts in shaping microbiome composition. In a relatively ‘closed’ cohort of 287 people from the Fiji Islands, where common barriers to bacterial transmission are absent, we examine putative bacterial transmission in individuals’ gut and oral microbiomes using strain-level data from both core single-nucleotide polymorphisms and flexible genomic regions. We find a weak signal of transmission, defined by the inferred sharing of genotypes, across many organisms that, in aggregate, reveals strong transmission patterns, most notably within households and between spouses. We were unable to determine the directionality of transmission nor whether it was direct. We further find that women harbour strains more closely related to those harboured by their familial and social contacts than men, and that transmission patterns of oral-associated and gut-associated microbiota need not be the same. Using strain-level data alone, we are able to confidently predict a subset of spouses, highlighting the role of shared susceptibilities, behaviours or social interactions that distinguish specific links in the social network.