Development of the Human Mycobiome over the First Month of Life and across Body Sites

Author:

Ward Tonya L.1,Dominguez-Bello Maria Gloria2,Heisel Tim3,Al-Ghalith Gabriel4ORCID,Knights Dan15,Gale Cheryl A.3ORCID

Affiliation:

1. BioTechnology Institute, University of Minnesota, St. Paul, Minnesota, USA

2. Departments of Biochemistry and Microbiology and Anthropology, Rutgers University, New Brunswick, New Jersey, USA

3. Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota, USA

4. Bioinformatics and Computational Biology, University of Minnesota, Minneapolis, Minnesota, USA

5. Department of Computer Science and Engineering, University of Minnesota, Minneapolis, Minnesota, USA

Abstract

Humans are colonized by diverse fungi (mycobiome), which have received much less study to date than colonizing bacteria. We know very little about the succession of fungal colonization in early life and whether it may relate to long-term health. To better understand fungal colonization and its sources, we studied the skin, oral, and anal mycobiomes of healthy term infants and the vaginal and anal mycobiomes of their mothers. Generally, infants were colonized by few fungal taxa, and fungal alpha diversity did not increase over the first month of life. There was no clear community maturation over the first month of life, regardless of body site. Key body-site-specific taxa, but not overall fungal community structures, were impacted by birth mode. Thus, additional studies to characterize mycobiome acquisition and succession throughout early life are needed to form a foundation for research into the relationship between mycobiome development and human disease.

Funder

C&D Research Fund

Minnesota Partnership for Biotechnology and Medical Genomics

HHS | NIH | National Institute of Allergy and Infectious Diseases

HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases

HHS | NIH | National Center for Advancing Translational Sciences

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

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