Molecular analysis of the diversity of vaginal microbiota associated with bacterial vaginosis
Zongxin Ling,Jianming Kong,Jianming Kong,Fang Liu,Haibin Zhu,Xiaoyi Chen,Yuezhu Wang,Lanjuan Li,Karen E. Nelson,Yaxian Xia,Charlie Xiang,Charlie Xiang +11 more
Reads0
Chats0
TLDR
The data presented here have clearly profiled the overall structure of vaginal communities and clearly demonstrated that BV is associated with a dramatic increase in the taxonomic richness and diversity of vaginal microbiota.Abstract:
Bacterial vaginosis (BV) is an ecological disorder of the vaginal microbiota that affects millions of women annually, and is associated with numerous adverse health outcomes including pre-term birth and the acquisition of sexually transmitted infections. However, little is known about the overall structure and composition of vaginal microbial communities; most of the earlier studies focused on predominant vaginal bacteria in the process of BV. In the present study, the diversity and richness of vaginal microbiota in 50 BV positive and 50 healthy women from China were investigated using culture-independent PCR-denaturing gradient gel electrophoresis (DGGE) and barcoded 454 pyrosequencing methods, and validated by quantitative PCR. Our data demonstrated that there was a profound shift in the absolute and relative abundances of bacterial species present in the vagina when comparing populations associated with healthy and diseased conditions. In spite of significant interpersonal variations, the diversity of vaginal microbiota in the two groups could be clearly divided into two clusters. A total of 246,359 high quality pyrosequencing reads was obtained for evaluating bacterial diversity and 24,298 unique sequences represented all phylotypes. The most predominant phyla of bacteria identified in the vagina belonged to Firmicutes, Bacteroidetes, Actinobacteria and Fusobacteria. The higher number of phylotypes in BV positive women over healthy is consistent with the results of previous studies and a large number of low-abundance taxa which were missed in previous studies were revealed. Although no single bacterium could be identified as a specific marker for healthy over diseased conditions, three phyla - Bacteroidetes, Actinobacteria and Fusobacteria, and eight genera including Gardnerella, Atopobium, Megasphaera, Eggerthella, Aerococcus, Leptotrichia/Sneathia, Prevotella and Papillibacter were strongly associated with BV (p < 0.05). These genera are potentially excellent markers and could be used as targets for clinical BV diagnosis by molecular approaches. The data presented here have clearly profiled the overall structure of vaginal communities and clearly demonstrated that BV is associated with a dramatic increase in the taxonomic richness and diversity of vaginal microbiota. The study also provides the most comprehensive picture of the vaginal community structure and the bacterial ecosystem, and significantly contributes to the current understanding of the etiology of BV.read more
Citations
More filters
Journal ArticleDOI
Human intestinal lumen and mucosa-associated microbiota in patients with colorectal cancer.
TL;DR: The results suggest that the intestinal microbiota is associated with CRC risk and that intestinal lumen microflora potentially influence CRC risk via cometabolism or metabolic exchange with the host.
Journal ArticleDOI
The composition and stability of the vaginal microbiota of normal pregnant women is different from that of non-pregnant women
Roberto Romero,Roberto Romero,Roberto Romero,Sonia S. Hassan,Sonia S. Hassan,Pawel Gajer,Adi L. Tarca,Douglas Fadrosh,Lorraine Nikita,Marisa Galuppi,Marisa Galuppi,Ronald F. Lamont,Ronald F. Lamont,Piya Chaemsaithong,Jezid Miranda,Tinnakorn Chaiworapongsa,Tinnakorn Chaiworapongsa,Jacques Ravel +17 more
TL;DR: Differences in the composition and stability of the microbial community between pregnant and non-pregnant women were observed and can serve as the basis to study the relationship between the vaginal microbiome and adverse pregnancy outcomes.
Journal ArticleDOI
Bacterial Communities in Women with Bacterial Vaginosis: High Resolution Phylogenetic Analyses Reveal Relationships of Microbiota to Clinical Criteria
Sujatha Srinivasan,Noah G. Hoffman,Martin Morgan,Frederick A. Matsen,Tina L. Fiedler,Robert W. Hall,Frederick J. Ross,Connor O. McCoy,Roger E. Bumgarner,Jeanne M. Marrazzo,David N. Fredricks,David N. Fredricks +11 more
TL;DR: The human vaginal bacterial biota is heterogeneous and marked by greater species richness and diversity in women with BV; no species is universally present.
Journal ArticleDOI
The Human Microbiota in Health and Disease
TL;DR: This paper focuses on the interactions between the human microbiota and the host in order to provide an overview of the microbial role in basic biological processes and in the development and progression of major human diseases such as infectious diseases, liver diseases, gastrointestinal cancers, metabolic diseases, respiratory diseases, mental or psychological diseases, and autoimmune diseases.
Journal ArticleDOI
The lung tissue microbiome in chronic obstructive pulmonary disease.
Marc A. Sze,Pedro A. Dimitriu,Shizu Hayashi,W. Mark Elliott,John E. McDonough,John V. Gosselink,Joel D. Cooper,Don D. Sin,William W. Mohn,James C. Hogg +9 more
TL;DR: There is a detectable bacterial community within human lung tissue that changes in patients with very severe COPD.
References
More filters
Journal ArticleDOI
Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities
Patrick D. Schloss,Patrick D. Schloss,Sarah L. Westcott,Sarah L. Westcott,Thomas Ryabin,Justine R. Hall,Martin Hartmann,Emily B. Hollister,Ryan A. Lesniewski,Brian B. Oakley,Donovan H. Parks,Courtney J. Robinson,Jason W. Sahl,Blaz Stres,Gerhard G. Thallinger,David J. Van Horn,Carolyn F. Weber +16 more
TL;DR: M mothur is used as a case study to trim, screen, and align sequences; calculate distances; assign sequences to operational taxonomic units; and describe the α and β diversity of eight marine samples previously characterized by pyrosequencing of 16S rRNA gene fragments.
Journal ArticleDOI
Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy
TL;DR: The RDP Classifier can rapidly and accurately classify bacterial 16S rRNA sequences into the new higher-order taxonomy proposed in Bergey's Taxonomic Outline of the Prokaryotes, and the majority of the classification errors appear to be due to anomalies in the current taxonomies.
Journal ArticleDOI
Profiling of complex microbial populations by denaturing gradient gel electrophoresis analysis of polymerase chain reaction-amplified genes coding for 16S rRNA
TL;DR: Analysis of the genomic DNA from a bacterial biofilm grown under aerobic conditions suggests that sulfate-reducing bacteria, despite their anaerobicity, were present in this environment.
Journal ArticleDOI
An obesity-associated gut microbiome with increased capacity for energy harvest
Peter J. Turnbaugh,Ruth E. Ley,Michael A. Mahowald,Vincent Magrini,Elaine R. Mardis,Jeffrey I. Gordon +5 more
TL;DR: It is demonstrated through metagenomic and biochemical analyses that changes in the relative abundance of the Bacteroidetes and Firmicutes affect the metabolic potential of the mouse gut microbiota and indicates that the obese microbiome has an increased capacity to harvest energy from the diet.
Journal ArticleDOI
Genome sequencing in microfabricated high-density picolitre reactors
Marcel Margulies,Michael Egholm,William E. Altman,Said Attiya,Joel S. Bader,Lisa A. Bemben,Jan Berka,Michael S. Braverman,Yi-Ju Chen,Zhoutao Chen,Scott Dewell,Lei Du,J. M. Fierro,Xavier V. Gomes,Brian C. Godwin,Wen He,Scott Edward Helgesen,Chun Heen Ho,Gerard P. Irzyk,Szilveszter C. Jando,Maria L. I. Alenquer,Thomas P. Jarvie,Kshama B. Jirage,Jong-Bum Kim,James R. Knight,Janna R. Lanza,John H. Leamon,Steven Lefkowitz,Ming Lei,Jing Li,Kenton Lohman,Hong Lu,Vinod Makhijani,Keith Mcdade,Michael P. McKenna,Eugene W. Myers,Elizabeth Nickerson,John Nobile,Ramona Plant,Bernard P. Puc,Michael T. Ronan,George T. Roth,Gary J. Sarkis,Jan Fredrik Simons,John Simpson,Maithreyan Srinivasan,Karrie R. Tartaro,Alexander Tomasz,Kari A. Vogt,Greg A. Volkmer,Shally H. Wang,Yong Wang,Michael P. Weiner,Pengguang Yu,Richard F. Begley,Jonathan M. Rothberg +55 more
TL;DR: A scalable, highly parallel sequencing system with raw throughput significantly greater than that of state-of-the-art capillary electrophoresis instruments with 96% coverage at 99.96% accuracy in one run of the machine is described.