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Microbiota succession throughout life from the cradle to the grave.
Martino, Cameron; Dilmore, Amanda Hazel; Burcham, Zachary M; Metcalf, Jessica L; Jeste, Dilip; Knight, Rob.
Affiliation
  • Martino C; Department of Paediatrics, University of California San Diego School of Medicine, La Jolla, CA, USA.
  • Dilmore AH; Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA, USA.
  • Burcham ZM; Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, USA.
  • Metcalf JL; Department of Paediatrics, University of California San Diego School of Medicine, La Jolla, CA, USA.
  • Jeste D; Biomedical Sciences Program, University of California, San Diego, La Jolla, CA, USA.
  • Knight R; Department of Animal Sciences, Colorado State University, Fort Collins, CO, USA.
Nat Rev Microbiol ; 20(12): 707-720, 2022 12.
Article in En | MEDLINE | ID: mdl-35906422
Associations between age and the human microbiota are robust and reproducible. The microbial composition at several body sites can predict human chronological age relatively accurately. Although it is largely unknown why specific microorganisms are more abundant at certain ages, human microbiota research has elucidated a series of microbial community transformations that occur between birth and death. In this Review, we explore microbial succession in the healthy human microbiota from the cradle to the grave. We discuss the stages from primary succession at birth, to disruptions by disease or antibiotic use, to microbial expansion at death. We address how these successions differ by body site and by domain (bacteria, fungi or viruses). We also review experimental tools that microbiota researchers use to conduct this work. Finally, we discuss future directions for studying the microbiota's relationship with age, including designing consistent, well-powered, longitudinal studies, performing robust statistical analyses and improving characterization of non-bacterial microorganisms.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Microbiota Type of study: Observational_studies / Risk_factors_studies Limits: Humans / Newborn Language: En Journal: Nat Rev Microbiol Journal subject: MICROBIOLOGIA Year: 2022 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Microbiota Type of study: Observational_studies / Risk_factors_studies Limits: Humans / Newborn Language: En Journal: Nat Rev Microbiol Journal subject: MICROBIOLOGIA Year: 2022 Document type: Article Affiliation country: Country of publication: