%0 Journal Article %1 dasari2024social %A Dasari, Mauna R. %A Roche, Kimberly E. %A Jansen, David %A Anderson, Jordan %A Alberts, Susan C. %A Tung, Jenny %A Gilbert, Jack A. %A Blekhman, Ran %A Mukherjee, Sayan %A Archie, Elizabeth A. %D 2024 %I Cold Spring Harbor Laboratory %J bioRxiv %K imported yaff %R 10.1101/2024.08.02.605707 %T Social and environmental predictors of gut microbiome age in wild baboons %U https://www.biorxiv.org/content/early/2024/08/04/2024.08.02.605707 %X Understanding why some individuals age faster than others is essential to evolutionary biology and geroscience, but measuring variation in biological age is difficult. One solution may lie in measuring gut microbiome composition because microbiota change with many age-related factors (e.g., immunity and behavior). Here we create a microbiome-based age predictor using 13,563 gut microbial profiles from 479 wild baboons collected over 14 years. The resulting “microbiome clock” predicts host chronological age. Deviations from the clock’s predictions are linked to demographic and socio-environmental factors that predict baboon health and survival: animals who appear old-for-age tend to be male, sampled in the dry season (for females), and high social status (both sexes). However, an individual’s “microbiome age” does not predict the attainment of developmental milestones or lifespan. Hence, the microbiome clock accurately reflects age and some social and environmental conditions, but not the pace of development or mortality risk.Competing Interest StatementThe authors have declared no competing interest.

@article{dasari2024social, abstract = {Understanding why some individuals age faster than others is essential to evolutionary biology and geroscience, but measuring variation in biological age is difficult. One solution may lie in measuring gut microbiome composition because microbiota change with many age-related factors (e.g., immunity and behavior). Here we create a microbiome-based age predictor using 13,563 gut microbial profiles from 479 wild baboons collected over 14 years. The resulting {\textquotedblleft}microbiome clock{\textquotedblright} predicts host chronological age. Deviations from the clock{\textquoteright}s predictions are linked to demographic and socio-environmental factors that predict baboon health and survival: animals who appear old-for-age tend to be male, sampled in the dry season (for females), and high social status (both sexes). However, an individual{\textquoteright}s {\textquotedblleft}microbiome age{\textquotedblright} does not predict the attainment of developmental milestones or lifespan. Hence, the microbiome clock accurately reflects age and some social and environmental conditions, but not the pace of development or mortality risk.Competing Interest StatementThe authors have declared no competing interest.}, added-at = {2024-12-16T11:28:04.000+0100}, author = {Dasari, Mauna R. and Roche, Kimberly E. and Jansen, David and Anderson, Jordan and Alberts, Susan C. and Tung, Jenny and Gilbert, Jack A. and Blekhman, Ran and Mukherjee, Sayan and Archie, Elizabeth A.}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/24656f1292af37cb011aa31e4828e12c3/scadsfct}, doi = {10.1101/2024.08.02.605707}, elocation-id = {2024.08.02.605707}, eprint = {https://www.biorxiv.org/content/early/2024/08/04/2024.08.02.605707.full.pdf}, interhash = {347ba5a99596b563b623e7ec8f05fba4}, intrahash = {4656f1292af37cb011aa31e4828e12c3}, journal = {bioRxiv}, keywords = {imported yaff}, publisher = {Cold Spring Harbor Laboratory}, timestamp = {2025-02-13T14:44:53.000+0100}, title = {Social and environmental predictors of gut microbiome age in wild baboons}, url = {https://www.biorxiv.org/content/early/2024/08/04/2024.08.02.605707}, year = 2024 }