Microdiversity of the vaginal microbiome is associated with preterm birth.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
17 08 2023
Historique:
received: 01 03 2023
accepted: 07 08 2023
medline: 21 8 2023
pubmed: 18 8 2023
entrez: 17 8 2023
Statut: epublish

Résumé

Preterm birth (PTB) is the leading cause of neonatal morbidity and mortality. The vaginal microbiome has been associated with PTB, yet the mechanisms underlying this association are not fully understood. Understanding microbial genetic adaptations to selective pressures, especially those related to the host, may yield insights into these associations. Here, we analyze metagenomic data from 705 vaginal samples collected during pregnancy from 40 women who delivered preterm spontaneously and 135 term controls from the Multi-Omic Microbiome Study-Pregnancy Initiative. We find that the vaginal microbiome of pregnancies that ended preterm exhibited unique genetic profiles. It was more genetically diverse at the species level, a result which we validate in an additional cohort, and harbored a higher richness and diversity of antimicrobial resistance genes, likely promoted by transduction. Interestingly, we find that Gardnerella species drove this higher genetic diversity, particularly during the first half of the pregnancy. We further present evidence that Gardnerella spp. underwent more frequent recombination and stronger purifying selection in genes involved in lipid metabolism. Overall, our population genetics analyses reveal associations between the vaginal microbiome and PTB and suggest that evolutionary processes acting on vaginal microbes may play a role in adverse pregnancy outcomes such as PTB.

Identifiants

pubmed: 37591872
doi: 10.1038/s41467-023-40719-7
pii: 10.1038/s41467-023-40719-7
pmc: PMC10435516
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

4997

Subventions

Organisme : NICHD NIH HHS
ID : R01 HD106017
Pays : United States

Commentaires et corrections

Type : UpdateOf

Informations de copyright

© 2023. Springer Nature Limited.

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Auteurs

Jingqiu Liao (J)

Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA. liaoj@vt.edu.
Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, USA. liaoj@vt.edu.

Liat Shenhav (L)

Center for Studies in Physics and Biology, Rockefeller University, New York, NY, USA.

Julia A Urban (JA)

Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA.

Myrna Serrano (M)

Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.

Bin Zhu (B)

Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.

Gregory A Buck (GA)

Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.
Department of Computer Science, School of Engineering, Virginia Commonwealth University, Richmond, VA, USA.

Tal Korem (T)

Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA. tal.korem@columbia.edu.
Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, NY, USA. tal.korem@columbia.edu.
CIFAR Azrieli Global Scholars program, CIFAR, Toronto, ON, Canada. tal.korem@columbia.edu.

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