The soil Mycobacterium sp. promotes health and longevity through different bacteria-derived molecules in Caenorhabditis elegans.
Abstract
Commensal bacteria and their derivatives hold significant promise as therapeutic interventions to delay aging. However, with the diverse nature of the soil microbiome and the long lifespan of mammalian models, the exploration of the influence of soil bacteria and bacteria-derived molecules on host aging remains limited. We conducted a lifespan screening in Caenorhabditis elegans using plant root bacterial collection. Our screening identified 8 genera of bacterial isolates capable of extending lifespan, with Mycobacterium sp. Root265 exhibits the most pronounced effect on lifespan extension. Biochemical analysis revealed two specific molecules derived from Root265, polysaccharides (PSs) and arabinogalactan peptidoglycan (AGP), responsible for lifespan extension via daf-16-dependent and -independent pathways, respectively. Notably, AGP exhibited a unique ability to enhance protein homeostasis effectively. Moreover, polar lipids originating from Root265 were found to extend lifespan while mitigating age-related BAS-1 decline in neurons. Intriguingly, even brief exposures to these bioactive compounds were sufficient to achieve the lifespan-promoting effects. We found diverse beneficial bacteria and anti-aging active compounds from soil bacteria. These findings highlight the potential of exploring bacterial derivatives as therapies targeting aging without the constraints associated with direct microbial interventions.
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Research summary
The paper investigates the role of soil-derived Mycobacterium sp. and its metabolites in extending lifespan in Caenorhabditis elegans, which is directly related to longevity research. It explores mechanisms that could potentially target aging processes rather than merely addressing age-related diseases. However, while the findings are interesting and contribute to the understanding of bacterial influence on aging, the impact appears to be solid but limited, as it primarily focuses on a model organism and requires further validation in more complex systems.
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