Electric Shaver Microbiomes and Antimicrobial Resistance Genes from 10 Individuals
by Shisheng Chen·Updated 1mo ago
1.7 MB1files
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Description
Metagenomic and culture-dependent profiling of electric shavers from 10 individuals at early (day 2) and mature (day 21) usage stages, generating 8 high-quality metagenomes and 97 viable isolates. The dataset, authored by Shisheng Chen and last updated in May 2026, reveals the enrichment of multidrug-resistant bacteria like Klebsiella pneumoniae and Acinetobacter ursingii, along with resistance genes such as blaSHV, mcr-, and tet(X)-like variants.
Use Cases
Study microbial community assembly under environmental filtering based on shaver usage stages mentioned in the description.
Analyze the distribution of mobile genetic elements and resistance islands across different host cohorts as described.
Investigate the co-occurrence of extended-spectrum β-lactamase genes and virulence determinants in viable isolates like Klebsiella pneumoniae.
Profile stress-adapted bacterial lineages such as Acinetobacter ursingii MLST3244 that were repeatedly enriched.
Strengths
Includes 8 high-quality metagenomes and whole-genome sequencing data from 45 representative isolates.
Profiles 97 viable isolates spanning 16 bacterial species from a defined cohort of 10 individuals.
Combines metagenomic sequencing with culture-dependent methods and targeted PCR confirmation for resistance genes.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
The sample size of 10 individuals may limit generalizability of findings.
Provenance
Source
figshare, author Shisheng Chen.
Collection Method
Sampling of electric shavers, metagenomic sequencing, and culture isolation as described.
Time Range
Data collection covered early (day 2) and mature (day 21) usage stages.
Freshness
Last updated 2026-05-07 05:34:26; freshness should be verified.
Data is provided in XLSX format (1.7 MB); users will need compatible software. License is CC-BY-4.0.