Identification of shared bacterial strains in the vaginal microbiota of related and unrelated reproductive-age mothers and daughters using genome-resolved metagenomics

• Published in: PloS one Vol. 17; no. 10; p. e0275908
• Main Authors: France, Michael T, Brown, Sarah E, Rompalo, Anne M, Brotman, Rebecca M, Ravel, Jacques
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 26-10-2022; Public Library of Science (PLoS)
• Subjects: Adolescent; Age; Analysis; Bacteria; Bacteria - genetics; Biology and Life Sciences; Child; Composition; Computer and Information Sciences; Datasets; Daughters; Distribution; Earth Sciences; Ecology and Environmental Sciences; Female; Genomes; Health aspects; Humans; Identification and classification; Immune system; Intestinal microflora; Metagenomics; Metropolitan areas; Microbiomes; Microbiota; Microbiota (Symbiotic organisms); Microbiota - genetics; Mothers; Newborn babies; Offspring; Permutations; Physiological aspects; Reproduction; Strains (organisms); Taxonomy; Vagina; Vagina - microbiology; Varieties; United States; United States > US
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0275908

It has been suggested that the human microbiome might be vertically transmitted from mother to offspring and that early colonizers may play a critical role in development of the immune system. Studies have shown limited support for the vertical transmission of the intestinal microbiota but the derivation of the vaginal microbiota remains largely unknown. Although the vaginal microbiota of children and reproductive age women differ in composition, the vaginal microbiota could be vertically transmitted. To determine whether there was any support for this hypothesis, we examined the vaginal microbiota of daughter-mother pairs from the Baltimore metropolitan area (ages 14-27, 32-51; n = 39). We assessed whether the daughter's microbiota was similar in composition to their mother's using metataxonomics. Permutation tests revealed that while some pairs did have similar vaginal microbiota, the degree of similarity did not exceed that expected by chance. Genome-resolved metagenomics was used to identify shared bacterial strains in a subset of the families (n = 22). We found a small number of bacterial strains that were shared between mother-daughter pairs but identified more shared strains between individuals from different families, indicating that vaginal bacteria may display biogeographic patterns. Earlier-in-life studies are needed to demonstrate vertical transmission of the vaginal microbiota.