Literature DB >> 33221964

Comparison of different hypervariable regions of 16S rRNA for taxonomic profiling of vaginal microbiota using next-generation sequencing.

Auttawit Sirichoat1, Nipaporn Sankuntaw2, Chulapan Engchanil1, Pranom Buppasiri3, Kiatichai Faksri1, Wises Namwat1, Wasun Chantratita4, Viraphong Lulitanond5.   

Abstract

The exploration of vaginal microbiota by using next-generation sequencing (NGS) of 16S ribosomal RNA (rRNA) gene is widely used. Up to now, different hypervariable regions have been selected to study vaginal microbiota by NGS and there is no standard method for analysis. The study aimed to characterize vaginal microbiota from clinical samples using NGS targeting the 16S rRNA gene and to determine the performance of individual and concatenated hypervariable region sequences to generate the taxonomic profiles of the vaginal microbiota. Fifty-one vaginal DNA samples were subjected to 16S rRNA gene NGS based on the Ion Torrent PGM platform with the use of two primer sets spanning seven hypervariable regions of the 16S rRNA gene. Our analysis revealed that the predominant bacterial genera were Lactobacillus, Gardnerella and Atopobium, which accounted for 78%, 14% and 2%, respectively, of sequences from all vaginal bacterial genera. At the species level, Lactobacillus iners, Gardnerella vaginalis and Atopobium vaginae accounted for 72%, 10% and 6%, respectively, of the bacterial cells present. Analyses using the V3 region generally indicated the highest bacterial diversity followed by the V6-V7 and V4 regions, while the V9 region gave the lowest bacterial resolution. NGS based on the 16S rRNA gene can give comprehensive estimates of the diversity of vaginal bacterial communities. Selection of sequences from appropriate hypervariable regions is necessary to provide reliable information on bacterial community diversity.

Entities:  

Keywords:  16S rRNA gene; Bacterial diversity; Hypervariable regions; Ion Torrent PGM; Next-generation sequencing; Vaginal microbiota

Year:  2020        PMID: 33221964     DOI: 10.1007/s00203-020-02114-4

Source DB:  PubMed          Journal:  Arch Microbiol        ISSN: 0302-8933            Impact factor:   2.552


  25 in total

1.  Medico-legal aspects of private practice.

Authors:  P W Revington
Journal:  Physiotherapy       Date:  1979-06       Impact factor: 3.358

Review 2.  The changing landscape of the vaginal microbiome.

Authors:  Bernice Huang; Jennifer M Fettweis; J Paul Brooks; Kimberly K Jefferson; Gregory A Buck
Journal:  Clin Lab Med       Date:  2014-09-15       Impact factor: 1.935

3.  Comparison of two next-generation sequencing technologies for resolving highly complex microbiota composition using tandem variable 16S rRNA gene regions.

Authors:  Marcus J Claesson; Qiong Wang; Orla O'Sullivan; Rachel Greene-Diniz; James R Cole; R Paul Ross; Paul W O'Toole
Journal:  Nucleic Acids Res       Date:  2010-09-29       Impact factor: 16.971

4.  Microbiome profiling by illumina sequencing of combinatorial sequence-tagged PCR products.

Authors:  Gregory B Gloor; Ruben Hummelen; Jean M Macklaim; Russell J Dickson; Andrew D Fernandes; Roderick MacPhee; Gregor Reid
Journal:  PLoS One       Date:  2010-10-26       Impact factor: 3.240

5.  Optimisation of methods for bacterial skin microbiome investigation: primer selection and comparison of the 454 versus MiSeq platform.

Authors:  Madhura Castelino; Stephen Eyre; John Moat; Graeme Fox; Paul Martin; Pauline Ho; Mathew Upton; Anne Barton
Journal:  BMC Microbiol       Date:  2017-01-21       Impact factor: 3.605

6.  The association between ethnicity and vaginal microbiota composition in Amsterdam, the Netherlands.

Authors:  Hanneke Borgdorff; Charlotte van der Veer; Robin van Houdt; Catharina J Alberts; Henry J de Vries; Sylvia M Bruisten; Marieke B Snijder; Maria Prins; Suzanne E Geerlings; Maarten F Schim van der Loeff; Janneke H H M van de Wijgert
Journal:  PLoS One       Date:  2017-07-11       Impact factor: 3.240

7.  Characterization of the Pig Gut Microbiome and Antibiotic Resistome in Industrialized Feedlots in China.

Authors:  Chunlai Wang; Peng Li; Liping Chen; Qiulong Yan; Tiantian Li; Wanjiang Zhang; He Li; Changming Chen; Xiuyan Han; Siyi Zhang; Miao Xu; Bo Li; Xiaoxuan Zhang; Hongbo Ni; Yufang Ma; Bo Dong; Shenghui Li; Siguo Liu
Journal:  mSystems       Date:  2019-12-17       Impact factor: 6.496

8.  Characterization of the vaginal micro- and mycobiome in asymptomatic reproductive-age Estonian women.

Authors:  Tiina Drell; Triin Lillsaar; Lea Tummeleht; Jaak Simm; Anu Aaspõllu; Edda Väin; Ivo Saarma; Andres Salumets; Gilbert G G Donders; Madis Metsis
Journal:  PLoS One       Date:  2013-01-23       Impact factor: 3.240

9.  Development of an Analysis Pipeline Characterizing Multiple Hypervariable Regions of 16S rRNA Using Mock Samples.

Authors:  Jennifer J Barb; Andrew J Oler; Hyung-Suk Kim; Natalia Chalmers; Gwenyth R Wallen; Ann Cashion; Peter J Munson; Nancy J Ames
Journal:  PLoS One       Date:  2016-02-01       Impact factor: 3.240

10.  16S rRNA gene sequencing of mock microbial populations- impact of DNA extraction method, primer choice and sequencing platform.

Authors:  Fiona Fouhy; Adam G Clooney; Catherine Stanton; Marcus J Claesson; Paul D Cotter
Journal:  BMC Microbiol       Date:  2016-06-24       Impact factor: 3.605

View more
  9 in total

1.  Improving analysis of the vaginal microbiota of women undergoing assisted reproduction using nanopore sequencing.

Authors:  Theresa Lüth; Simon Graspeuntner; Kay Neumann; Laura Kirchhoff; Antonia Masuch; Susen Schaake; Mariia Lupatsii; Ronnie Tse; Georg Griesinger; Joanne Trinh; Jan Rupp
Journal:  J Assist Reprod Genet       Date:  2022-10-12       Impact factor: 3.357

2.  Seminal Microbiota of Idiopathic Infertile Patients and Its Relationship With Sperm DNA Integrity.

Authors:  Sergio Garcia-Segura; Javier Del Rey; Laia Closa; Iris Garcia-Martínez; Carlos Hobeich; Ana Belén Castel; Francisco Vidal; Jordi Benet; Jordi Ribas-Maynou; Maria Oliver-Bonet
Journal:  Front Cell Dev Biol       Date:  2022-06-28

3.  Investigation of bacterial diversity using 16S rRNA sequencing and prediction of its functionalities in Moroccan phosphate mine ecosystem.

Authors:  Salah Eddine Azaroual; Yassine Kasmi; Abderrahim Aasfar; Hicham El Arroussi; Youssef Zeroual; Youssef El Kadiri; Abdelali Zrhidri; Elmostafa Elfahime; Abdelaziz Sefiani; Issam Meftah Kadmiri
Journal:  Sci Rep       Date:  2022-03-08       Impact factor: 4.996

Review 4.  Next-generation sequencing: insights to advance clinical investigations of the microbiome.

Authors:  Caroline R Wensel; Jennifer L Pluznick; Steven L Salzberg; Cynthia L Sears
Journal:  J Clin Invest       Date:  2022-04-01       Impact factor: 14.808

5.  Changes in the Microbiome Profile in Different Parts of the Intestine in Piglets with Diarrhea.

Authors:  Mariya V Gryaznova; Yuliya D Dvoretskaya; Mikhail Y Syromyatnikov; Sergey V Shabunin; Pavel A Parshin; Evgeniy V Mikhaylov; Nikolay A Strelnikov; Vasily N Popov
Journal:  Animals (Basel)       Date:  2022-01-28       Impact factor: 2.752

6.  Choice of 16S Ribosomal RNA Primers Impacts Male Urinary Microbiota Profiling.

Authors:  Vitor Heidrich; Lilian T Inoue; Paula F Asprino; Fabiana Bettoni; Antonio C H Mariotti; Diogo A Bastos; Denis L F Jardim; Marco A Arap; Anamaria A Camargo
Journal:  Front Cell Infect Microbiol       Date:  2022-04-21       Impact factor: 6.073

7.  Disturbances of Vaginal Microbiome Composition in Human Papillomavirus Infection and Cervical Carcinogenesis: A Qualitative Systematic Review.

Authors:  Ming Wu; Huanrong Li; Hongfei Yu; Ye Yan; Chen Wang; Fei Teng; Aiping Fan; Fengxia Xue
Journal:  Front Oncol       Date:  2022-07-12       Impact factor: 5.738

8.  Experimental methods modestly impact interpretation of the effect of environmental exposures on the larval zebrafish gut microbiome.

Authors:  Keaton Stagaman; Kristin D Kasschau; Robyn L Tanguay; Thomas J Sharpton
Journal:  Sci Rep       Date:  2022-08-25       Impact factor: 4.996

9.  16S-FASAS: an integrated pipeline for synthetic full-length 16S rRNA gene sequencing data analysis.

Authors:  Ke Zhang; Rongnan Lin; Yujun Chang; Qing Zhou; Zhi Zhang
Journal:  PeerJ       Date:  2022-09-23       Impact factor: 3.061

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.