Background: Cutibacterium spp. is one of the most understudied bacteria and this is owed to its slow growing nature and its stringent requirement for anoxic conditions. To date, shortgun metagenomic sequencing and MALDI-TOF MS are widely used for species detection but, the latter is not able to distinguish C. acnes from C. modestum and C. namnetense. Our study has innovatively combined colony morphology, biochemical assays and16s rRNA gene sequencing to identify C. acnes as well as the underreported C. namnetense and C. modestum from facial clinical acne samples.Methods: The clinical samples were obtained using a non-invasive method from acne patients at the Dermatology Clinic of Hospital Tuanku Jaafar, Seremban, Malaysia between January 2022 to December 2022. Colonies of Cutibacterium spp. were screened on BHI agar followed by subjecting them to the catalase and indole tests. The isolates were verified as Cutibacterium spp. using API20A and 16s rRNA Sanger gene sequencing.Result: Out of 68 Cutibacterium spp. isolates, 3 were identified as C. modestum and 1 as C. namnetense while the rest were C. acnes. All isolates were present as raised, white colonies with 0.03 to 1mm in diameter on BHI agar. 89.71% of these isolates were indole producers. All isolates were identified as C. acnes in API20A but, the 16srRNA gene sequencing revealed 4 isolates as C. modestum and C. namnetense.Conclusion: This study is the first to report the isolation of C. namnetense and C. modestum in clinical facial acne samples from Malaysia and across Asia, employing a modified combination of morphological, biochemical, and 16srRNA gene analyses. This methodical yet straightforward approach serves as a viable alternative in research settings lacking access to advanced techniques like MALDI-TOF and shotgun metagenomic sequencing. Moreover, this conventional isolation approach is valuable in assessing the sensitivity of the isolates to inhibitory agents apart from antibiotics, expanding researchers' abilities to develop potent antibacterial agents required for human health and wellbeing.Keywords: Acne; Clinical Samples; Combinatorial; Identification
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