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Data associated with Leech, McDowall et al 2021 microbiome composition and predicted function

Bretman, Amanda and Leech, Thomas and McDowall, Laurin and Hopkins, Kevin and Sait, Steven and Harrison, Xavier (2021) Data associated with Leech, McDowall et al 2021 microbiome composition and predicted function. University of Leeds. [Dataset] https://doi.org/10.5518/985

Dataset description

Social environments influence multiple traits of individuals including immunity, stress and ageing, often in sex-specific ways. The composition of the microbiome (the assemblage of symbiotic microorganisms within a host) is determined by environmental factors and the host’s immune, endocrine and neural systems. The social environment could alter host microbiomes extrinsically by affecting transmission between individuals, likely promoting homogeneity in the microbiome of social partners. Alternatively, intrinsic effects arising from interactions between the microbiome and host physiology (the microbiota-gut-brain axis) could translate social stress into dysbiotic microbiomes, with consequences for host health. We investigated how manipulating social environments during larval and adult life-stages altered the microbiome composition of Drosophila melanogaster fruit flies. We used social contexts that particularly alter the development and lifespan of males, predicting that any intrinsic social effects on the microbiome would therefore be sex-specific. The presence of adult males during the larval stage significantly altered the microbiome of pupae of both sexes. In adults, same-sex grouping increased bacterial diversity in both sexes. Importantly, the microbiome community structure of males was more sensitive to social contact at older ages, an effect partially mitigated by housing focal males with young rather than co-aged groups. Functional analyses suggest that these microbiome changes impact ageing and immune responses. This is consistent with the hypothesis that the substantial effects of the social environment on individual health are mediated through intrinsic effects on the microbiome, and provides a model for understanding the mechanistic basis of the microbiota-gut-brain axis.

Additional information: Note: The paper associated with this data is currently under review. Data also subject to review. DOI not yet activated.
Keywords: microbiota-gut-brain axis, infection, ageing, development, stress
Subjects: C000 - Biological sciences > C500 - Microbiology
Divisions: Faculty of Biological Sciences > School of Biology
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 10 May 2021 10:24
URI: http://archive.researchdata.leeds.ac.uk/id/eprint/838

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