Literature DB >> 9573809

Differentiation of Veillonella atypica, Veillonella dispar and Veillonella parvula using restricted fragment-length polymorphism analysis of 16S rDNA amplified by polymerase chain reaction.

T Sato1, J Matsuyama, M Sato, E Hoshino.   

Abstract

Veillonella atypica, Veillonella dispar and Veillonella parvula cannot be reliably distinguished by conventional phenotypic tests, including the API ZYM test. In this study, restricted fragment-length polymorphism (RFLP) analysis of 16S rDNA amplified by polymerase chain reaction (PCR) was used to generate restriction profiles of the type strains of V. atypica, V. dispar and V. parvula and 20 Veillonella strains isolated from oral sites. 16S rRNA gene sequences from isolated genomic DNA samples were amplified by PCR. PCR products were purified and characterized by single digestion with 13 restriction endonucleases. Among them, Mn/I was found to discriminate the respective reference strains, and the clinical isolates were assigned to one of the three species on the basis of their restriction profiles by digestion with Mn/I. Thus, RFLP analysis of PCR-amplified 16S rDNA, using Mn/I, is a rapid and reliable method for the differentiation of V. atypica, V. dispar and V. parvula.

Entities:  

Mesh:

Substances:

Year:  1997        PMID: 9573809     DOI: 10.1111/j.1399-302x.1997.tb00737.x

Source DB:  PubMed          Journal:  Oral Microbiol Immunol        ISSN: 0902-0055


  8 in total

1.  Veillonella spondylodiscitis in a healthy 76-year-old lady.

Authors:  Thomas J Kishen; Steven T Lindstrom; Greg Etherington; Ashish D Diwan
Journal:  Eur Spine J       Date:  2011-06-16       Impact factor: 3.134

2.  The distribution and frequency of oral veillonella spp. in the tongue biofilm of healthy young adults.

Authors:  Izumi Mashima; Arihide Kamaguchi; Futoshi Nakazawa
Journal:  Curr Microbiol       Date:  2011-08-18       Impact factor: 2.188

3.  Composition and diversity of the subgingival microbiome and its relationship with age in postmenopausal women: an epidemiologic investigation.

Authors:  Michael J LaMonte; Robert J Genco; Michael J Buck; Daniel I McSkimming; Lu Li; Kathleen M Hovey; Christopher A Andrews; Wei Zheng; Yijun Sun; Amy E Millen; Maria Tsompana; Hailey R Banack; Jean Wactawski-Wende
Journal:  BMC Oral Health       Date:  2019-11-13       Impact factor: 2.757

4.  Diversity of Veillonella spp. from sound and carious sites in children.

Authors:  N Arif; E C Sheehy; T Do; D Beighton
Journal:  J Dent Res       Date:  2008-03       Impact factor: 6.116

5.  Meta-omics uncover temporal regulation of pathways across oral microbiome genera during in vitro sugar metabolism.

Authors:  Anna Edlund; Youngik Yang; Shibu Yooseph; Adam P Hall; Don D Nguyen; Pieter C Dorrestein; Karen E Nelson; Xuesong He; Renate Lux; Wenyuan Shi; Jeffrey S McLean
Journal:  ISME J       Date:  2015-05-29       Impact factor: 10.302

6.  Identification of Veillonella Species in the Tongue Biofilm by Using a Novel One-Step Polymerase Chain Reaction Method.

Authors:  Izumi Mashima; Citra Fragrantia Theodorea; Boonyanit Thaweboon; Sroisiri Thaweboon; Futoshi Nakazawa
Journal:  PLoS One       Date:  2016-06-21       Impact factor: 3.240

7.  Spondylodiscitis due to anaerobic bacteria Veillonella parvula: Case report and literature review.

Authors:  Michal Ziga; Daniele Gianoli; Frederike Waldeck; Cyrill Dennler; Rainer Schlichtherle; Thomas Forster; Benjamin Martens; Roman Schwizer
Journal:  Surg Neurol Int       Date:  2021-09-30

8.  Veillonellaceae family members uniquely alter the cervical metabolic microenvironment in a human three-dimensional epithelial model.

Authors:  Mary E Salliss; Jason D Maarsingh; Camryn Garza; Paweł Łaniewski; Melissa M Herbst-Kralovetz
Journal:  NPJ Biofilms Microbiomes       Date:  2021-07-06       Impact factor: 7.290

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.