Literature DB >> 27517837

Speciation of Bacillus spp. in honey produced in Northern Ireland by employment of 16S rDNA PCR and automated DNA sequencing techniques.

Ola Tolba1, J A Philip Earle2, B Cherie Millar1, Paul J Rooney1, John E Moore3.   

Abstract

Phenotypic speciation of foodborne Bacillus spp. remains problematic in terms of obtaining a reliable identification. In this study, we wished to identify several bacterial isolates from honey produced in Northern Ireland, and which belonged to the genus Bacillus, through employment of a molecular identification scheme based on PCR amplification of universal regions of the 16S rRNA operon in combination with direct automated sequencing of the resulting amplicons. Seven samples of honey and related materials (propolis) were examined microbiologically and were demonstrated to have total viable counts (TVC) ranging from <100 to 1700 colony-forming units/g. No yeasts or filamentous fungi were isolated from the honey materials. Several bacterial isolates were identified using this method, yielding two different genera (Paenibacillus and Bacillus), as well as four Bacillus species, namely Bacillus pumilus, B. licheniformis, B. subtilis and B. fusiformis, with B. pumilus the most frequently identified species present. When the use of molecular identification methods is justified, employment of partial 16S rDNA PCR and sequencing provides a valuable and reliable method of identification of Bacillus spp. from foodstuffs and negates associated problems of conventional laboratory and phenotypic identification.

Entities:  

Keywords:  16S rRNA; Bacillus; Bee; Food; Honey; Molecular; PCR; Paenibacillus

Year:  2007        PMID: 27517837     DOI: 10.1007/s11274-007-9425-4

Source DB:  PubMed          Journal:  World J Microbiol Biotechnol        ISSN: 0959-3993            Impact factor:   3.312


  5 in total

Review 1.  Risk assessment models and contamination management: implications for broad-range ribosomal DNA PCR as a diagnostic tool in medical bacteriology.

Authors:  B Cherie Millar; Jiru Xu; John E Moore
Journal:  J Clin Microbiol       Date:  2002-05       Impact factor: 5.948

2.  Molecular diagnosis of infective endocarditis--a new Duke's criterion.

Authors:  B Millar; J Moore; P Mallon; J Xu; M Crowe; R Mcclurg; D Raoult; J Earle; R Hone; P Murphy
Journal:  Scand J Infect Dis       Date:  2001

Review 3.  Bacterial evolution.

Authors:  C R Woese
Journal:  Microbiol Rev       Date:  1987-06

4.  Characterization of microorganisms in Argentinean honeys from different sources.

Authors:  Miriam O Iurlina; Rosalia Fritz
Journal:  Int J Food Microbiol       Date:  2005-09-19       Impact factor: 5.277

5.  Molecular diagnosis of bacterial endocarditis by broad-range PCR amplification and direct sequencing.

Authors:  D Goldenberger; A Künzli; P Vogt; R Zbinden; M Altwegg
Journal:  J Clin Microbiol       Date:  1997-11       Impact factor: 5.948

  5 in total

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