Molecular identification and phylogenetic analysis of Lactobacillus and Bifidobacterium spp. isolated from gut of honeybees (Apis mellifera) from West Azerbaijan, Iran
Sharifpour, Mohammad Farouq, Mardani, Karim, and Ownagh, Abdulghaffar (2016) Molecular identification and phylogenetic analysis of Lactobacillus and Bifidobacterium spp. isolated from gut of honeybees (Apis mellifera) from West Azerbaijan, Iran. Veterinary Research Forum, 7 (4). pp. 287-294.
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Abstract
Polymerase chain reaction and restriction fragment length polymorphism (PCR-RFLP) and phylogenetic analysis were used for molecular identification of lactic acid bacteria (LABs) isolated from Apis mellifera. Eighteen honeybee workers were collected from three different apiaries in West Azerbaijan. LABs from the gut of honeybees were isolated and cultured using routine biochemical procedures. Genomic DNA was extracted from LABs and a fragment of 1540 bp in size of 16S rRNA gene was amplified. PCR products were digested using HinfI endonuclease and digested products with different RFLP patterns were subjected to nucleotide sequencing and phylogenetic analysis. The results revealed that Lactobacillus and Bifidobacteria spp. are were the most abundant LABs in honeybee gut. Phylogenetic analysis showed that both Lactobacillus and Bifidobacterium were closely clustered with high similarity percentage with the same bacteria isolated from honeybees’ gut elsewhere. It was concluded that LABs isolated from honeybees had low sequence divergence in comparison with LABs isolated from other sources such as dairy products.
Item ID: | 77917 |
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Item Type: | Article (Research - C1) |
ISSN: | 2322-3618 |
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Copyright Information: | Copyright © 2016 Urmia University. All rights reserved. This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Date Deposited: | 21 Mar 2023 23:53 |
FoR Codes: | 31 BIOLOGICAL SCIENCES > 3107 Microbiology > 310701 Bacteriology @ 50% 31 BIOLOGICAL SCIENCES > 3102 Bioinformatics and computational biology > 310208 Translational and applied bioinformatics @ 50% |
SEO Codes: | 10 ANIMAL PRODUCTION AND ANIMAL PRIMARY PRODUCTS > 1099 Other animal production and animal primary products > 109999 Other animal production and animal primary products not elsewhere classified @ 100% |
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