Mother-Infant Cohort Structural Variation Data for Strain-Level Microbial Transmission

5,578 structural variations across 51 reference strains were profiled from metagenomic data of a 98-pair longitudinal mother-infant cohort and a 25-pair multi-niche cohort. The dataset, authored by Xin Jiang and last updated in May 2026, suggests SV-based markers can track strain-level microbial inheritance. Infants showed increasing SV diversity during the first year of life, and SV similarity was greater within mother-infant pairs than unrelated pairs.

Use Cases

• Analyze strain-level microbial transmission patterns based on structural variation similarity between mother-infant pairs
• Investigate the influence of delivery mode and feeding regimen on vertical transmission based on exploratory subgroup analyses
• Study functional enrichment of transmitted SVs in pathways linked to metabolism and environmental adaptation
• Compare inferred strain sharing signals from maternal gut to infant gut and oral microbiota based on multi-niche analysis

Strengths

• Includes data from a 98-pair longitudinal cohort and a 25-pair multi-niche cohort
• Profiles 5,578 structural variations across 51 reference strains
• Identifies 90 microbial species shared between mothers and infants using abundance-based analysis

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect temporal or cohort bias inherent to the specific study design

Provenance

Source

figshare

Collection Method

Metagenomic data analysis from mother-infant cohorts

Freshness

Last updated 2026-05-19 05:40:01; freshness should be verified