Genotypic Profiling of Bacillus cereus Recovered from Some Retail Foods in Ogun State, Nigeria, and Their Phylogenetic Relationship

Identifying Bacillus cereus with conventional methods is neither specific nor rapid because of the close relatedness of the B. cereus group, hence the need for molecular methods. Genotypic profiling of B. cereus isolates from food was obtained by Random Amplified Polymorphic DNA-polymerase chain rea...

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Main Authors: Titilayo O. Adesetan, Moses O. Efuntoye, Olubukola O. Babalola
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:International Journal of Microbiology
Online Access:http://dx.doi.org/10.1155/2020/3750948
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spelling doaj-d760ea8a2dfe45a9a32c8aecb1199e042021-07-02T10:28:17ZengHindawi LimitedInternational Journal of Microbiology1687-918X1687-91982020-01-01202010.1155/2020/37509483750948Genotypic Profiling of Bacillus cereus Recovered from Some Retail Foods in Ogun State, Nigeria, and Their Phylogenetic RelationshipTitilayo O. Adesetan0Moses O. Efuntoye1Olubukola O. Babalola2Department of Microbiology, Olabisi Onabanjo University, PMB 2002, Ago-Iwoye, Ogun State, NigeriaDepartment of Microbiology, Olabisi Onabanjo University, PMB 2002, Ago-Iwoye, Ogun State, NigeriaFood Security and Safety Niche, Faculty of Natural and Agricultural Sciences, North-West University, Private Bag X2046, Mmabatho 2735, South AfricaIdentifying Bacillus cereus with conventional methods is neither specific nor rapid because of the close relatedness of the B. cereus group, hence the need for molecular methods. Genotypic profiling of B. cereus isolates from food was obtained by Random Amplified Polymorphic DNA-polymerase chain reaction (RAPD-PCR) using OPR13 primer. A dendrogram was drawn with the Numerical Taxonomy System of Statistic (NTSYS) software. Thirty of the isolates were subjected to molecular identification by 16S rDNA sequencing. The thirty sequences were deposited in GenBank for accession number. Phylogenetic relationship of the 16S rDNA sequence obtained was carried out with the Multiple Alignment using Fast Fourier Transform (MAFFT) software version 7.0. The evolutionary tree was drawn using the Molecular Evolutionary Genetics Analysis (MEGA 6) software. The dendrogram generated for the RAPD profile showed that all the strains are closely related, with a similarity coefficient of 70%. The isolates were confirmed with 16S rDNA sequencing as B. cereus. The thirty sequences deposited in GenBank were given accession numbers: KX574760–KX574769, KX610811–KX610820, MT757957-MT757963, and MT772282-MT772284. By comparing the phylogenetic relationship, eleven of the strains did not cluster with the reference strains from the GenBank but form distinct clades, which means they are likely to be of different ancestors. Conventional methods rarely differentiate bacteria of the same species into clade, neither can it describe their ancestral lineage. Therefore, it is important to employ molecular methods in identifying bacteria to give detailed information about them.http://dx.doi.org/10.1155/2020/3750948
collection DOAJ
language English
format Article
sources DOAJ
author Titilayo O. Adesetan
Moses O. Efuntoye
Olubukola O. Babalola
spellingShingle Titilayo O. Adesetan
Moses O. Efuntoye
Olubukola O. Babalola
Genotypic Profiling of Bacillus cereus Recovered from Some Retail Foods in Ogun State, Nigeria, and Their Phylogenetic Relationship
International Journal of Microbiology
author_facet Titilayo O. Adesetan
Moses O. Efuntoye
Olubukola O. Babalola
author_sort Titilayo O. Adesetan
title Genotypic Profiling of Bacillus cereus Recovered from Some Retail Foods in Ogun State, Nigeria, and Their Phylogenetic Relationship
title_short Genotypic Profiling of Bacillus cereus Recovered from Some Retail Foods in Ogun State, Nigeria, and Their Phylogenetic Relationship
title_full Genotypic Profiling of Bacillus cereus Recovered from Some Retail Foods in Ogun State, Nigeria, and Their Phylogenetic Relationship
title_fullStr Genotypic Profiling of Bacillus cereus Recovered from Some Retail Foods in Ogun State, Nigeria, and Their Phylogenetic Relationship
title_full_unstemmed Genotypic Profiling of Bacillus cereus Recovered from Some Retail Foods in Ogun State, Nigeria, and Their Phylogenetic Relationship
title_sort genotypic profiling of bacillus cereus recovered from some retail foods in ogun state, nigeria, and their phylogenetic relationship
publisher Hindawi Limited
series International Journal of Microbiology
issn 1687-918X
1687-9198
publishDate 2020-01-01
description Identifying Bacillus cereus with conventional methods is neither specific nor rapid because of the close relatedness of the B. cereus group, hence the need for molecular methods. Genotypic profiling of B. cereus isolates from food was obtained by Random Amplified Polymorphic DNA-polymerase chain reaction (RAPD-PCR) using OPR13 primer. A dendrogram was drawn with the Numerical Taxonomy System of Statistic (NTSYS) software. Thirty of the isolates were subjected to molecular identification by 16S rDNA sequencing. The thirty sequences were deposited in GenBank for accession number. Phylogenetic relationship of the 16S rDNA sequence obtained was carried out with the Multiple Alignment using Fast Fourier Transform (MAFFT) software version 7.0. The evolutionary tree was drawn using the Molecular Evolutionary Genetics Analysis (MEGA 6) software. The dendrogram generated for the RAPD profile showed that all the strains are closely related, with a similarity coefficient of 70%. The isolates were confirmed with 16S rDNA sequencing as B. cereus. The thirty sequences deposited in GenBank were given accession numbers: KX574760–KX574769, KX610811–KX610820, MT757957-MT757963, and MT772282-MT772284. By comparing the phylogenetic relationship, eleven of the strains did not cluster with the reference strains from the GenBank but form distinct clades, which means they are likely to be of different ancestors. Conventional methods rarely differentiate bacteria of the same species into clade, neither can it describe their ancestral lineage. Therefore, it is important to employ molecular methods in identifying bacteria to give detailed information about them.
url http://dx.doi.org/10.1155/2020/3750948
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