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Development of discriminatory multiple-locus variable number tandem repeat analysis for Bartonella henselae.

Development of discriminatory multiple-locus variable number tandem repeat analysis for Bartonella henselae. Research Abstract Details 

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  • Development of discriminatory multiple-locus variable number tandem repeat analysis for Bartonella henselae. Abstract Text:

    martine monteilMartine Monteil, durand Durand,rim bouchouichaRim Bouchouicha,elisabeth petitElisabeth Petit,bruno chomelBruno Chomel,mardjan arvandMardjan Arvand,henri-jean boulouisHenri-Jean Boulouis,nadia haddadNadia Haddad,

    Bartonella henselae is a zoonotic bacterium that infects cats and humans. Several attempts have been made to develop typing techniques for epidemiological purposes; however, most of the techniques developed do not appear to be sufficiently discriminatory or easy to use. In order to develop multilocus variable number tandem repeat (VNTR) analysis (MLVA) for B. henselae, 30 VNTR candidates were selected from the genome sequence of the reference strain Houston 1 (H1). The VNTR candidates were initially tested by PCR on six B. henselae isolates from different geographical areas. Five VNTRs were selected from those that showed two or more alleles. These five B. henselae VNTRs (BHVs) were tested on 42 feline B. henselae isolates and strains from France (23 isolates), Denmark (17 isolates), the Philippines (one isolate) and the USA (F1 strain), on one human isolate from Germany, and on the H1 reference strain. These BHVs were sufficiently discriminatory to obtain 31 different profiles (corresponding to two different groups) among the 44 isolates and strains of B. henselae tested. Thirty-five profiles were obtained using these BHVs and two variant alleles. The combination of the five markers led to a diversity index of 0.98. The stability of the five BHVs was demonstrated on the feline F1 strain, with no change in stability observed after 2, 21 and 41 passages. This is believed to be the first study conducted on B. henselae typing using MLVA, and it demonstrates the high quality of this technique for discriminating between B. henselae isolates.

    Development of discriminatory multiple-locus variable number tandem repeat analysis for Bartonella henselae. Publishing Authors By Initials

    m monteilM Monteil,b durandB Durand,r bouchouichaR Bouchouicha,e petitE Petit,b chomelB Chomel,m arvandM Arvand,hj boulouisHJ Boulouis,n haddadN Haddad,

    For similar nucleic acids, nucleotides, and nucleosides: nucleic acids: rna: rna, ribosomal: rna, ribosomal, 16s research abstracts see: nucleic acids, nucleotides, and nucleosides: nucleic acids: rna: rna, ribosomal: rna, ribosomal, 16s research

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    Development of discriminatory multiple-locus variable number tandem repeat analysis for Bartonella henselae. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: Microbiology (Reading, England)

    VOLUME: 153

    Page Numbers: 1141-8

    Journal Abbreviation: Microbiology (Reading, Engl.)

    ISSN: 1350-0872

    DAY: 28

    MONTH: Apr

    YEAR: 2007

    Development of discriminatory multiple-locus variable number tandem repeat analysis for Bartonella henselae. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 9430468

    Development of discriminatory multiple-locus variable number tandem repeat analysis for Bartonella henselae. Keywords Mesh Terms:

    KEYWORDS: RNA, Ribosomal, 16S

    MESH TERMS: genetics

    Chemical & Substance for Abstract: Development of discriminatory multiple-locus variable number tandem repeat analysis for Bartonella henselae. Information

    Substance Name: RNA, Ribosomal, 16S

    Registry Number: 0

    Grant and Affiliation Information for Development of discriminatory multiple-locus variable number tandem repeat analysis for Bartonella henselae.

    AFFILIATION: UMR BIPAR/AFSSA, Institut Nationale de la Recherche Agronomique, Ecole Nationale Vétérinaire d'Alfort/UVPM, 7 avenue du Général de Gaulle, 94704 Maisons-Alfort Cedex, France.

    Country: England

    England Research PublicationEngland Research Publication

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    MEDLINETA: Microbiology

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