Characterization of oral bacterial diversity of irradiated patients by high-throughput sequencing.
- Author:
Yue-Jian HU
1
;
Qian WANG
;
Yun-Tao JIANG
;
Rui MA
;
Wen-Wei XIA
;
Zi-Sheng TANG
;
Zheng LIU
;
Jing-Ping LIANG
;
Zheng-Wei HUANG
Author Information
- Publication Type:Journal Article
- MeSH: Actinomyces; classification; radiation effects; Actinomycetaceae; classification; radiation effects; Alcaligenaceae; classification; radiation effects; Bacteria; classification; radiation effects; Capnocytophaga; classification; radiation effects; Carnobacteriaceae; classification; radiation effects; Computational Biology; Dental Plaque; microbiology; Follow-Up Studies; Gemella; classification; radiation effects; Head and Neck Neoplasms; radiotherapy; High-Throughput Nucleotide Sequencing; Humans; Middle Aged; Neisseria; classification; radiation effects; Prevotella; classification; radiation effects; Propionibacteriaceae; classification; radiation effects; RNA, Bacterial; analysis; RNA, Ribosomal, 16S; analysis; Streptococcus; classification; radiation effects; Veillonella; classification; radiation effects
- From: International Journal of Oral Science 2013;5(1):21-25
- CountryChina
- Language:English
- Abstract: The objective of this study was to investigate the compositional profiles and microbial shifts of oral microbiota during head-and-neck radiotherapy. Bioinformatic analysis based on 16S rRNA gene pyrosequencing was performed to assess the diversity and variation of oral microbiota of irradiated patients. Eight patients with head and neck cancers were involved in this study. For each patient, supragingival plaque samples were collected at seven time points before and during radiotherapy. A total of 147,232 qualified sequences were obtained through pyrosequencing and bioinformatic analysis, representing 3,460 species level operational taxonomic units (OTUs) and 140 genus level taxa. Temporal variations were observed across different time points and supported by cluster analysis based on weighted UniFrac metrics. Moreover, the low evenness of oral microbial communities in relative abundance was revealed by Lorenz curves. This study contributed to a better understanding of the detailed characterization of oral bacterial diversity of irradiated patients.
