Isolation and identification of aerobic and facultative anaerobic bacteria in the oral cavity.
- Author:
Wenxin LU
1
;
Fanzi WU
;
Xinxuan ZHOU
;
Lan WU
;
Mingyun LI
;
Biao REN
;
Qiang GUO
;
Ruijie HUANG
;
Jiyao LI
;
Liying XIAO
;
Yan LI
Author Information
- Publication Type:Journal Article
- MeSH: Actinomyces; isolation & purification; Dental Caries; Dental Plaque; microbiology; Humans; Mouth; microbiology; RNA, Ribosomal, 16S; genetics; Saliva; microbiology; Staphylococcus aureus; isolation & purification; Streptococcus; isolation & purification
- From: Journal of Southern Medical University 2015;35(12):1710-1714
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo establish a systematic method for isolation and identification of aerobic and facultative anaerobic bacteria in the oral cavity.
METHODSSamples of the saliva, dental plaque and periapical granulation tissue were collected from 20 subjects with healthy oral condition and from 8 patients with different oral diseases. The bacteria in the samples were identified by morphological identification, VITEK automatic microorganism identification and 16s rRNA gene sequencing.
RESULTSVITEK automatic microorganism identification and 16s rRNA gene sequencing showed an agreement rate of 22.39% in identifying the bacteria in the samples. We identified altogether 63 bacterial genus (175 species), among which Streptococcus, Actinomyces and Staphylococcus were the most common bacterial genus, and Streptococcus anginosus, Actinomyces oris, Streptococcus mutans and Streptococcus mitis were the most common species. Streptococcus anginosus was commonly found in patients with chronic periapical periodontitis. Streptococcus intermedius and Staphylococcus aureus were common in patients with radiation caries, and in patients with rampant caries, Streptococcus mutans was found at considerably higher rate than other species.
CONCLUSIONAerobic and facultative anaerobic bacteria are commonly found in the oral cavity, and most of them are gram-positive. 16s rRNA gene sequencing is more accurate than VITEK automatic microorganism identification in identifying the bacteria.