Evidence map›Paper›PMID 42239539›Full record

ArticleFrontiers in cellular and infection microbiology2026

Structural variation analysis suggests strain-level maternal-infant microbial transmission in early life.

Xin Jiang, Bin Chen, Qinghua Wang, Yanan Liu, Ning Li, Lei Zhang

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Article in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xin Jiang *Microbiome-X, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
Bin Chen *Microbiome-X, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
Qinghua WangSchool of Biological Science and Technology, University of Jinan, Jinan, China.
Yanan LiuJinan Institute of Child Health Care, Children's Hospital Affiliated to Shandong University (Jinan Children's Hospital), Jinan, China.
Ning LiJinan Institute of Child Health Care, Children's Hospital Affiliated to Shandong University (Jinan Children's Hospital), Jinan, China.
Lei ZhangSchool of Pharmaceutical Engineering, Jining Medical University, Jining, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Structural variations (SVs)-large, functionally consequential genomic alterations-serve as high-resolution markers for strain-level differentiation in the human microbiome, yet their relevance to vertical transmission of the maternal microbiota and early-life colonization remains unclear. Methods: Using metagenomic data from a 98-pair longitudinal mother-infant cohort and a 25-pair multi-niche cohort, we profiled microbial taxa, functions, and SVs, characterized variable SVs (vSVs), deletion SVs (dSVs), and transmitted SVs (tSVs), and evaluated the potential influence of delivery mode, feeding regimen, and maternal ecological niches. Results: We identified 5,578 SVs across 51 reference strains, with infants showing increasing SV diversity during the first year of life, and observed significantly greater SV similarity within mother-infant pairs than unrelated pairs. Abundance-based analysis identified 90 microbial species shared between mothers and infants. However, when incorporating SV-based tracking, only 14 strains showed patterns consistent with sustained maternal contribution across time points. Furthermore, exploratory subgroup analyses suggested that both delivery mode and feeding regimen may influence the vertical transmission patterns of maternal microbial strains and transmitted SVs. Functionally, tSVs were enriched in pathways linked to carbohydrate, amino acid, and lipid metabolism, as well as transport and environmental adaptation modules such as T4SS. Multi-niche analysis further suggested that the maternal gut showed the strongest inferred signal of SV-supported strain sharing with both the infant gut and oral microbiota. Discussion: Together, these findings suggest that microbial SVs can serve as complementary markers for investigating maternal contribution and vertical transmission-related strain-level patterns in early-life microbiome development, providing new insights into microbial inheritance and early-life health trajectories.

Indexed as

BacteriaGenomic Structural VariationInfectious Disease Transmission, VerticalMicrobiotaFecesFemaleGastrointestinal MicrobiomeHumansInfantInfant, NewbornLongitudinal StudiesMetagenomeMetagenomicsMothersearly-life developmentinfant colonizationmaternal microbiotametagenomicsstructural variationsvertical transmission

Identifiers

PMID42239539
PMCPMC13226579

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.