Characterisations of probiotic Lactobacillus strains by amplified ribosomal dna restriction analysis (ARDRA)

Lee, Chin Mei and Sieo, Chin Chin and Norhani, Abdullah and Ho, Yin Wan (2020) Characterisations of probiotic Lactobacillus strains by amplified ribosomal dna restriction analysis (ARDRA). In: Symposium on Industrial Science and Technology, SISTEC 2019 , 22-23 Aug. 2019 , Kuantan, Malaysia. pp. 302-308., 981. ISSN 1662-9752

[img]
Preview
 Pdf
5.1 Characterisations of probiotic Lactobacillus strains by amplified.pdf
Download (130kB) | Preview
[img] Pdf
Characterisations of probiotic Lactobacillus strains by amplified ribosomal dna restriction analysis.pdf
Restricted to Repository staff only
Download (626kB) | Request a copy

Abstract

Twelve probiotic Lactobacillus strains for poultry were characterised by amplified ribosomal DNA restriction analysis (ARDRA) using Sau3AI, TaqI, HaeIII and AluI restriction endonucleases. Species-specific and strain-specific restriction patterns were observed from the bacterial strains. Numerical analysis of composite analysis of ARDRA exhibited D value of 0.8456. Whereas, the caculated D values of ARDRA patterns generated by Sau3AI, TaqI, HaeIII and AluI were 0.8309, 0.8382,0.8088 and 0.8088, repectively. Composite analysis of ARDRA was the most discriminative method when compared to the individual analysis. ARDRA could distinguished L. reuteri C 10 and L. panis C 17 into single strains. The 16S rRNA gene restriction patterns were also able to group L. gallinarum I 16 and I 26 into single strains. Lactobacillus brevis I 12, I 23, I 25, I 211 and I 218 seem to be multiple clones of the same bacterial strain as are L. reuteri C 1 and C 16. ARDRA is a valuable fingerprinting method to discriminate probiotic Lactobacillus strains.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: 16S rRNA Gene; ARDRA; Lactobacillus; Probiotic; Restriction patterns
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division: Faculty of Industrial Sciences And Technology
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 26 Feb 2021 03:24
Last Modified: 26 Feb 2021 03:25
URI: http://umpir.ump.edu.my/id/eprint/30474
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item