Title :
Diversity of vaginal ecosystem on women in Southern China
Author :
Hao, Wenbo ; Peng, Yongzheng ; Xu, Weiwen ; Liao, Xiaoqing ; Li, Ming ; Luo, Shuhong
Author_Institution :
Sch. of Biotechnol., Southern Med. Univ., Guangzhou, China
Abstract :
In this study, we analyzed the diversity of vaginal microbiota in 9 bacterial vaginosis (BV) positive and 11 healthy women from the metropolitan area of Guangzhou in Southern China using full-length 16S rDNA. Our data confirmed that a shift in the abundance of bacterial species present in the vaginal environment comparing the BV and non-BV groups. Each sequence read was assigned to a genus or a species when possible. Principal component analysis was performed at genus levels. Most BV+ samples clustered together while there were two clusters among the BV- samples. Several bacteria have been found to be highly associated with BV, including Gardnerella, Atopobium, Megasphaera, Leptotrichia/Sneathia, and Prevotella. We found that the presence of any BV-associated organisms alone did not necessary cause BV. We identified several additional non-lactobacillus bacteria associated with BV, including a Coriobacteriaceae bacterium and a Ruminococcaceae bacterium. Our results showed that analysis of vaginal microbiota and the clustering of microbial profile could help identification of bacterial vaginosis and assessment of women´s vaginal health. The presence or absence of certain bacterial species is not adequate for disease diagnosis; rather the prevalence of multiple organisms collectively should be used as markers for a microbial diagnosis of BV.
Keywords :
DNA; cellular biophysics; data analysis; diseases; ecology; genetics; genomics; gynaecology; health care; medical diagnostic computing; medical information systems; microorganisms; molecular biophysics; patient diagnosis; principal component analysis; Southern China; atopobium; bacterial vaginosis positive healthy women; coriobacteriaceae bacterium; data analysis; full-length 16S rDNA; gardnerella; gene sequencing; genus levels; leptotrichia; megasphaera; microbial diagnosis; nonlactobacillus bacteria; prevotella; principal component analysis; ruminococcaceae bacterium; sneathia; vaginal microbiota; women vaginal ecosystem diversity; Cloning; DNA; Humans; Libraries; Medical diagnostic imaging; Microorganisms; Strain;
Conference_Titel :
Information Science and Technology (ICIST), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9440-8
DOI :
10.1109/ICIST.2011.5765068