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Characterisation of Bifidobacterium species—a review


Mustafa, Shuhaimi and Ali, Abdul Manaf and Mohammed Alitheen, Noorjahan Banu and Mohd Saleh, Norihan and Abd Manap, Mohd Yazid (2004) Characterisation of Bifidobacterium species—a review. Bioscience and Microflora, 23 (2). pp. 81-91. ISSN 1342-1441; ESSN: 1349-8355


Identification of Bifidobacterium species are a difficult task because of phenotypic and genetic heterogeneities. Various DNA-based techniques to rapidly characterise Bifidobacterium species and to support the conventional biochemical and morphological classification methods have been described. Sequencing of the 16S rRNA gene and 16S to 23S internally transcribed spacer region and comparing with the sequences data present in GenBank are the most popular techniques in identifying Bifidobacterium species. Conserved sequences other than the 16S rRNA gene such as ldh, recA and hsp60 genes have become worthy tools for the elucidation of various taxonomic features such as genera, species and strains of Bifidobacterium. However, as an alternative to sequencing which is both time consuming and technically demanding, genus- or species-specific primers or probes were successfully designed to rapidly identify Bifidobacterium species. In this review, amplified ribosomal DNA restriction analysis (ARDRA) method derived from the 16S rRNA gene is also discussed because of it rapid, reproducible and easy to handle characteristics. Furthermore, randomly amplified polymorphic DNA (RAPD), Pulsed-Field Gel Electrophoresis (PFGE) and repetitive elements fingerprinting (Rep) were the popular methods to study the genetic diversity among Bifidobacterium species due to its versatility.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Biotechnology and Biomolecular Sciences
Faculty of Food Science and Technology
Institute of Bioscience
Publisher: The Japan Bifidus Foundation
Keywords: Biochemical; F6PPK; 16S rRNA; RAPD; REP
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 19 Sep 2016 09:45
Last Modified: 19 Sep 2016 09:45
URI: http://psasir.upm.edu.my/id/eprint/34526
Statistic Details: View Download Statistic

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