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Rapid differentiation among Lactobacillus, Pediococcus and Weissella species from some Nigerian indigenous fermented foods
- Source :
- LWT. 77:39-44
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- The taxonomic differentiation among lactic acid bacteria (LAB) using only phenotypic methods is inadequate. In the past, several phenotypic techniques have been applied in identification of different species of LAB from Nigerian indigenous fermented foods. In this study, two less-expensive and rapid molecular techniques were employed in the identification and differentiation of LAB species isolated from some Nigerian fermented foods: gari (cassava mash), fufu (cassava dough) and ogi (maize gruel) to avoid the common errors that are synonymous with the use of conventional methods. The size of the amplified products for the LAB species using universal primers fD1 and rD1 was about 1500 bp. The differentiation of the three predominant LAB, Lactobacillus plantarum , Pediococcus pentosaceus and Weissella confusa to species level was performed by intergenic transcribed spacer (ITS-PCR) and amplified ribosomal DNA restriction analysis (ARDRA) using three restriction endonucleases: Hinf I, Hae III and Rsa I. In summary, the study demonstrated that the ARDRA and ITS-PCR analysis are simple, fast and efficient methods that can be used for the routine identification and rapid differentiation of LAB species which are often regularly used as probiotics, starter culture and biopreservative in fermented foods consumed since they are generally regarded as safe (GRAS).
- Subjects :
- 0301 basic medicine
Weissella
biology
business.industry
030106 microbiology
food and beverages
biology.organism_classification
Amplified Ribosomal DNA Restriction Analysis
Biotechnology
03 medical and health sciences
030104 developmental biology
Starter
Intergenic region
Lactobacillus
Pediococcus
Food science
business
Fermentation in food processing
Lactobacillus plantarum
Food Science
Subjects
Details
- ISSN :
- 00236438
- Volume :
- 77
- Database :
- OpenAIRE
- Journal :
- LWT
- Accession number :
- edsair.doi...........05133cde4972145a74e319bceffd437c
- Full Text :
- https://doi.org/10.1016/j.lwt.2016.11.007