Academic Thesis

Basic information

Name Mitsui Ryoji
Belonging department
Occupation name
researchmap researcher code 1000364532
researchmap agency Okayama University of Science

Title

Development of a qPCR-based method for absolute quantification of facial skin bacteria considering DNA extraction efficiency

Bibliography Type

Joint Author

Author

Takanori Yano,  Hideaki Ohta,  Teruya Namba,  Hiroshi Kawabe,  Nobuaki Okumura,  Noboru Fujitani  Ryoji Mitsui

Summary

The skin microbiome differs with age, and understanding the relationship between the microbial balance and skin health is valuable in skin healthcare. In this study, we developed a quantitative real-time PCR (qPCR) method using TaqMan MGB probes to measure the abundance of indigenous skin bacteria. Representative facial skin bacteria (Cutibacterium acnes, Staphylococcus epidermidis, and Staphylococcus aureus) were detected and quantified with high sensitivity using specific primer sets and probes. C. acnes was divided into two groups for qPCR analysis: Group 1, which included major acne-associated types, and Group 2, which included C. acnes subsp. defendens, which is predominant in healthy skin. Cell suspensions of each bacterial species, for which the total cell numbers were assessed, were subjected to DNA extraction with lytic enzyme treatment. The purified DNA enabled the accurate calculation of the extraction efficiency. The DNA extraction efficiency of the targeted skin bacteria ranged from 30% to 100%, indicating a species-dependent variation. The established method enabled stable quantification over a bacterial concentration range of 104–108 cells/mL. The qPCR results using DNA extracted from mixed bacterial suspensions were generally consistent with the expected genomic DNA copy numbers after correcting for species-specific DNA extraction efficiencies. The established extraction efficiency-corrected qPCR method provides improved quantification of bacterial abundance on facial skin.

Magazine(name)

Journal of Microbiological Methods

Publisher

Elsevier

Volume

250

Number Of Pages

StartingPage

107723

EndingPage

Date of Issue

2026/09

Referee

Exist

Invited

Not exist

Language

English

Thesis Type

ISSN

DOI

https://doi.org/10.1016/j.mimet.2026.107723

NAID

PMID

URL

J-GLOBAL ID

arXiv ID

ORCID Put Code

DBLP ID