Bacterial diversity in organic and conventional Minas Frescal cheese production using targeted 16S rRNA sequencing
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.idairyj.2021.105139 http://hdl.handle.net/11449/221965 |
Resumo: | Molecular identification and the study of bacteria in processed food products can be challenging or suffer limitations when using conventional methods. However, with Next Generation Sequencing (NGS), one can identify bacterial species with a significantly higher detection sensitivity using a 16S rRNA target gene. This study aimed to characterise the bacterial diversity of the organic and conventional production of Minas Frescal cheese, through the NGS analysis of the 16S rRNA gene. DNA was extracted from 96 samples, 48 from organic production and 48 from conventional production. The bacterial families and genera with the highest prevalence were identified. The most prevalent families were Enterobacteriaceae, Planococcaceae and Moraxellaceae. The NGS 16S rRNA tool proved to be very useful for bacterial characterisation, but it is still not possible to say whether a product contains more or less bacteria based on organic production, as there are several factors that contribute to contamination. |
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Bacterial diversity in organic and conventional Minas Frescal cheese production using targeted 16S rRNA sequencingMolecular identification and the study of bacteria in processed food products can be challenging or suffer limitations when using conventional methods. However, with Next Generation Sequencing (NGS), one can identify bacterial species with a significantly higher detection sensitivity using a 16S rRNA target gene. This study aimed to characterise the bacterial diversity of the organic and conventional production of Minas Frescal cheese, through the NGS analysis of the 16S rRNA gene. DNA was extracted from 96 samples, 48 from organic production and 48 from conventional production. The bacterial families and genera with the highest prevalence were identified. The most prevalent families were Enterobacteriaceae, Planococcaceae and Moraxellaceae. The NGS 16S rRNA tool proved to be very useful for bacterial characterisation, but it is still not possible to say whether a product contains more or less bacteria based on organic production, as there are several factors that contribute to contamination.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Centro Nacional de Pesquisa em Energia e MateriaisMinistério da Ciência, Tecnologia, Inovações e ComunicaçõesFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Department of Food Science School of Food Engineering (FEA) University of CampinasDepartment of Genetics and Molecular Biology Institute of Biology (IB) University of CampinasDepartment of Chemical and Biological Sciences Institute of Biosciences São Paulo State University (UNESP)Department of Chemical and Biological Sciences Institute of Biosciences São Paulo State University (UNESP)FAPESP: 2016/02118-7FAPESP: 2018/00986-7Universidade Estadual de Campinas (UNICAMP)Universidade Estadual Paulista (UNESP)Abreu, Anderson Clayton da SilvaCarazzolle, Marcelo FalsarellaCrippa, Bruna LourençoBarboza, Giovana RuedaMores Rall, Vera Lúcia [UNESP]de Oliveira Rocha, LilianaSilva, Nathália Cristina Cirone2022-04-28T19:41:35Z2022-04-28T19:41:35Z2021-11-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.idairyj.2021.105139International Dairy Journal, v. 122.0958-6946http://hdl.handle.net/11449/22196510.1016/j.idairyj.2021.1051392-s2.0-85110299607Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Dairy Journalinfo:eu-repo/semantics/openAccess2022-04-28T19:41:35Zoai:repositorio.unesp.br:11449/221965Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:51:59.436763Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Bacterial diversity in organic and conventional Minas Frescal cheese production using targeted 16S rRNA sequencing |
title |
Bacterial diversity in organic and conventional Minas Frescal cheese production using targeted 16S rRNA sequencing |
spellingShingle |
Bacterial diversity in organic and conventional Minas Frescal cheese production using targeted 16S rRNA sequencing Abreu, Anderson Clayton da Silva |
title_short |
Bacterial diversity in organic and conventional Minas Frescal cheese production using targeted 16S rRNA sequencing |
title_full |
Bacterial diversity in organic and conventional Minas Frescal cheese production using targeted 16S rRNA sequencing |
title_fullStr |
Bacterial diversity in organic and conventional Minas Frescal cheese production using targeted 16S rRNA sequencing |
title_full_unstemmed |
Bacterial diversity in organic and conventional Minas Frescal cheese production using targeted 16S rRNA sequencing |
title_sort |
Bacterial diversity in organic and conventional Minas Frescal cheese production using targeted 16S rRNA sequencing |
author |
Abreu, Anderson Clayton da Silva |
author_facet |
Abreu, Anderson Clayton da Silva Carazzolle, Marcelo Falsarella Crippa, Bruna Lourenço Barboza, Giovana Rueda Mores Rall, Vera Lúcia [UNESP] de Oliveira Rocha, Liliana Silva, Nathália Cristina Cirone |
author_role |
author |
author2 |
Carazzolle, Marcelo Falsarella Crippa, Bruna Lourenço Barboza, Giovana Rueda Mores Rall, Vera Lúcia [UNESP] de Oliveira Rocha, Liliana Silva, Nathália Cristina Cirone |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual de Campinas (UNICAMP) Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Abreu, Anderson Clayton da Silva Carazzolle, Marcelo Falsarella Crippa, Bruna Lourenço Barboza, Giovana Rueda Mores Rall, Vera Lúcia [UNESP] de Oliveira Rocha, Liliana Silva, Nathália Cristina Cirone |
description |
Molecular identification and the study of bacteria in processed food products can be challenging or suffer limitations when using conventional methods. However, with Next Generation Sequencing (NGS), one can identify bacterial species with a significantly higher detection sensitivity using a 16S rRNA target gene. This study aimed to characterise the bacterial diversity of the organic and conventional production of Minas Frescal cheese, through the NGS analysis of the 16S rRNA gene. DNA was extracted from 96 samples, 48 from organic production and 48 from conventional production. The bacterial families and genera with the highest prevalence were identified. The most prevalent families were Enterobacteriaceae, Planococcaceae and Moraxellaceae. The NGS 16S rRNA tool proved to be very useful for bacterial characterisation, but it is still not possible to say whether a product contains more or less bacteria based on organic production, as there are several factors that contribute to contamination. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-11-01 2022-04-28T19:41:35Z 2022-04-28T19:41:35Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1016/j.idairyj.2021.105139 International Dairy Journal, v. 122. 0958-6946 http://hdl.handle.net/11449/221965 10.1016/j.idairyj.2021.105139 2-s2.0-85110299607 |
url |
http://dx.doi.org/10.1016/j.idairyj.2021.105139 http://hdl.handle.net/11449/221965 |
identifier_str_mv |
International Dairy Journal, v. 122. 0958-6946 10.1016/j.idairyj.2021.105139 2-s2.0-85110299607 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
International Dairy Journal |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128868564860928 |