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The Landscape of Adaptive Evolution of a Gut Commensal Bacteria in Aging Mice

42 Pages Posted: 20 Sep 2019 Publication Status: Published

See all articles by Hugo C. Barreto

Hugo C. Barreto

Fundação Calouste Gulbenkian - Instituto Gulbenkian de Ciência

Ana Sousa

Universidade de Aveiro - Institute for Research in Biomedicine (iBiMED)

Isabel Gordo

Instituto Gulbenkian de Ciência

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Abstract

Aging is a complex process, with many associated time-dependent phenotypes. The gut microbiota has long been postulated as an important factor in shaping healthy aging. During aging changes in the microbiota composition occur, with taxa that are rare in adults becoming dominant in the elderly. Increased inflammation associated with aging is also known to modulate and be modulated by the microbiota, further supporting the microbes contribution to the aging multifactorial process. The extent to which the age-dependent inflammatory and ecological processes can alter the pattern of evolutionary change of a gut commensal lineage is however unknown. Here we provide the first genomic analysis of such evolution in cohorts of old mice, under controlled host genetics and lifestyle conditions. We find that Escherichia coli evolution when colonizing the gut of old mice significantly differs from its evolution in young mice. Evolution towards metabolic adaptation is slower in old than young mice and mutational targets concerning stress-related functions were call by natural selection specifically in the inflamed gut of old mice. Taking the genetic basis of E. coli short-term evolution as a reflection of the environment it experiences, the sequencing data indicate that aging imposes a more stressful environment to this important colonizer of the mammalian gut.

Keywords: Microbiome, aging, Adaptation, Experimental Evolution

Suggested Citation

Barreto, Hugo C. and Sousa, Ana and Gordo, Isabel, The Landscape of Adaptive Evolution of a Gut Commensal Bacteria in Aging Mice (September 17, 2019). Available at SSRN: https://ssrn.com/abstract=3455477 or http://dx.doi.org/10.2139/ssrn.3455477
This version of the paper has not been formally peer reviewed.

Hugo C. Barreto

Fundação Calouste Gulbenkian - Instituto Gulbenkian de Ciência

Oeiras
Portugal

Ana Sousa

Universidade de Aveiro - Institute for Research in Biomedicine (iBiMED)

Aveiro
Portugal

Isabel Gordo (Contact Author)

Instituto Gulbenkian de Ciência

Oeiras
Portugal

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