Getting to Know the Gut Microbial Diversity of Metropolitan Buenos Aires Inhabitants

Autores
Belforte, Fiorella Sabrina; Fernandez, Natalie; Tonin Monzón, Francisco; Rosso, Ayelen Daiana; Quesada, Sofía; Cimolai, María Cecilia; Millán, Andrea Liliana; Cerrone, Gloria Edith; Frechtel, Gustavo Daniel; Burcelin, Rémy; Coluccio Leskow, Federico; Penas Steinhardt, Alberto
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In recent years, the field of immunology has been revolutionized by the growing understanding of the fundamental role of microbiota in the immune system function. The immune system has evolved to maintain a symbiotic relationship with these microbes. The aim of our study was to know in depth the uncharacterized metagenome of the Buenos Aires (BA) city population and its metropolitan area, being the second most populated agglomeration in the southern hemisphere. For this purpose, we evaluated 30 individuals (age: 35.23 ± 8.26 years and BMI: 23.91 ± 3.4 kg/m2), from the general population of BA. The hypervariable regions V3-V4 of the bacterial 16S gene was sequenced by MiSeq-Illumina system, obtaining 47526 ± 4718 sequences/sample. The dominant phyla were Bacteroidetes, Firmicutes, Proteobacteria, Verrucomicrobia, and Actinobacteria. Additionally, we compared the microbiota of BA with other westernized populations (Santiago de Chile, Rosario-Argentina, United States-Human-microbiome-project, Bologna-Italy) and the Hadza population of hunter-gatherers. The unweighted UniFrac clustered together all westernized populations, leaving the hunter-gatherer population from Hadza out. In particular, Santiago de Chile?s population turns out to be the closest to BA?s, principally due to the presence of Verrucomicrobiales of the genus Akkermansia. These microorganisms have been proposed as a hallmark of a healthy gut. Finally, westernized populations showed more abundant metabolism related KEEG pathways than hunter-gatherers, including carbohydrate metabolism (amino sugar and nucleotide sugar metabolism), amino acid metabolism (alanine, aspartate and glutamate metabolism), lipid metabolism, biosynthesis of secondary metabolites, and sulfur metabolism. These findings contribute to promote research and comparison of the microbiome in different human populations, in order to develop more efficient therapeutic strategies for the restoration of a healthy dialogue between host and environment.
Fil: Belforte, Fiorella Sabrina. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Fernandez, Natalie. Icahn School Of Medicine At Mount Sinai; Estados Unidos
Fil: Tonin Monzón, Francisco. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina
Fil: Rosso, Ayelen Daiana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina
Fil: Quesada, Sofía. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina
Fil: Cimolai, María Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján; Argentina
Fil: Millán, Andrea Liliana. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Inmunología, Genética y Metabolismo. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Inmunología, Genética y Metabolismo; Argentina
Fil: Cerrone, Gloria Edith. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Inmunología, Genética y Metabolismo. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Inmunología, Genética y Metabolismo; Argentina
Fil: Frechtel, Gustavo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Inmunología, Genética y Metabolismo. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Inmunología, Genética y Metabolismo; Argentina
Fil: Burcelin, Rémy. Inserm; Francia. Université Paul Sabatier; Francia
Fil: Coluccio Leskow, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina
Fil: Penas Steinhardt, Alberto. Instituto Universidad de la Fundación "Héctor Barceló"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina
Materia
HUMAN MICROBIOME
METAGENOME
16S SEQUENCING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/107592
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Getting to Know the Gut Microbial Diversity of Metropolitan Buenos Aires InhabitantsBelforte, Fiorella SabrinaFernandez, NatalieTonin Monzón, FranciscoRosso, Ayelen DaianaQuesada, SofíaCimolai, María CeciliaMillán, Andrea LilianaCerrone, Gloria EdithFrechtel, Gustavo DanielBurcelin, RémyColuccio Leskow, FedericoPenas Steinhardt, AlbertoHUMAN MICROBIOMEMETAGENOME16S SEQUENCINGhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1In recent years, the field of immunology has been revolutionized by the growing understanding of the fundamental role of microbiota in the immune system function. The immune system has evolved to maintain a symbiotic relationship with these microbes. The aim of our study was to know in depth the uncharacterized metagenome of the Buenos Aires (BA) city population and its metropolitan area, being the second most populated agglomeration in the southern hemisphere. For this purpose, we evaluated 30 individuals (age: 35.23 ± 8.26 years and BMI: 23.91 ± 3.4 kg/m2), from the general population of BA. The hypervariable regions V3-V4 of the bacterial 16S gene was sequenced by MiSeq-Illumina system, obtaining 47526 ± 4718 sequences/sample. The dominant phyla were Bacteroidetes, Firmicutes, Proteobacteria, Verrucomicrobia, and Actinobacteria. Additionally, we compared the microbiota of BA with other westernized populations (Santiago de Chile, Rosario-Argentina, United States-Human-microbiome-project, Bologna-Italy) and the Hadza population of hunter-gatherers. The unweighted UniFrac clustered together all westernized populations, leaving the hunter-gatherer population from Hadza out. In particular, Santiago de Chile?s population turns out to be the closest to BA?s, principally due to the presence of Verrucomicrobiales of the genus Akkermansia. These microorganisms have been proposed as a hallmark of a healthy gut. Finally, westernized populations showed more abundant metabolism related KEEG pathways than hunter-gatherers, including carbohydrate metabolism (amino sugar and nucleotide sugar metabolism), amino acid metabolism (alanine, aspartate and glutamate metabolism), lipid metabolism, biosynthesis of secondary metabolites, and sulfur metabolism. These findings contribute to promote research and comparison of the microbiome in different human populations, in order to develop more efficient therapeutic strategies for the restoration of a healthy dialogue between host and environment.Fil: Belforte, Fiorella Sabrina. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Fernandez, Natalie. Icahn School Of Medicine At Mount Sinai; Estados UnidosFil: Tonin Monzón, Francisco. Universidad Nacional de Luján. Departamento de Ciencias Básicas; ArgentinaFil: Rosso, Ayelen Daiana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján. Departamento de Ciencias Básicas; ArgentinaFil: Quesada, Sofía. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján. Departamento de Ciencias Básicas; ArgentinaFil: Cimolai, María Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján; ArgentinaFil: Millán, Andrea Liliana. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Inmunología, Genética y Metabolismo. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Inmunología, Genética y Metabolismo; ArgentinaFil: Cerrone, Gloria Edith. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Inmunología, Genética y Metabolismo. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Inmunología, Genética y Metabolismo; ArgentinaFil: Frechtel, Gustavo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Inmunología, Genética y Metabolismo. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Inmunología, Genética y Metabolismo; ArgentinaFil: Burcelin, Rémy. Inserm; Francia. Université Paul Sabatier; FranciaFil: Coluccio Leskow, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján. Departamento de Ciencias Básicas; ArgentinaFil: Penas Steinhardt, Alberto. Instituto Universidad de la Fundación "Héctor Barceló"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján. Departamento de Ciencias Básicas; ArgentinaFrontiers Media S.A.2019-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/107592Belforte, Fiorella Sabrina; Fernandez, Natalie; Tonin Monzón, Francisco; Rosso, Ayelen Daiana; Quesada, Sofía; et al.; Getting to Know the Gut Microbial Diversity of Metropolitan Buenos Aires Inhabitants; Frontiers Media S.A.; Frontiers in Microbiology; 10; 5-2019; 965-9651664-302XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/article/10.3389/fmicb.2019.00965/fullinfo:eu-repo/semantics/altIdentifier/doi/10.3389/fmicb.2019.00965info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:39:32Zoai:ri.conicet.gov.ar:11336/107592instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:39:32.297CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Getting to Know the Gut Microbial Diversity of Metropolitan Buenos Aires Inhabitants
title Getting to Know the Gut Microbial Diversity of Metropolitan Buenos Aires Inhabitants
spellingShingle Getting to Know the Gut Microbial Diversity of Metropolitan Buenos Aires Inhabitants
Belforte, Fiorella Sabrina
HUMAN MICROBIOME
METAGENOME
16S SEQUENCING
title_short Getting to Know the Gut Microbial Diversity of Metropolitan Buenos Aires Inhabitants
title_full Getting to Know the Gut Microbial Diversity of Metropolitan Buenos Aires Inhabitants
title_fullStr Getting to Know the Gut Microbial Diversity of Metropolitan Buenos Aires Inhabitants
title_full_unstemmed Getting to Know the Gut Microbial Diversity of Metropolitan Buenos Aires Inhabitants
title_sort Getting to Know the Gut Microbial Diversity of Metropolitan Buenos Aires Inhabitants
dc.creator.none.fl_str_mv Belforte, Fiorella Sabrina
Fernandez, Natalie
Tonin Monzón, Francisco
Rosso, Ayelen Daiana
Quesada, Sofía
Cimolai, María Cecilia
Millán, Andrea Liliana
Cerrone, Gloria Edith
Frechtel, Gustavo Daniel
Burcelin, Rémy
Coluccio Leskow, Federico
Penas Steinhardt, Alberto
author Belforte, Fiorella Sabrina
author_facet Belforte, Fiorella Sabrina
Fernandez, Natalie
Tonin Monzón, Francisco
Rosso, Ayelen Daiana
Quesada, Sofía
Cimolai, María Cecilia
Millán, Andrea Liliana
Cerrone, Gloria Edith
Frechtel, Gustavo Daniel
Burcelin, Rémy
Coluccio Leskow, Federico
Penas Steinhardt, Alberto
author_role author
author2 Fernandez, Natalie
Tonin Monzón, Francisco
Rosso, Ayelen Daiana
Quesada, Sofía
Cimolai, María Cecilia
Millán, Andrea Liliana
Cerrone, Gloria Edith
Frechtel, Gustavo Daniel
Burcelin, Rémy
Coluccio Leskow, Federico
Penas Steinhardt, Alberto
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv HUMAN MICROBIOME
METAGENOME
16S SEQUENCING
topic HUMAN MICROBIOME
METAGENOME
16S SEQUENCING
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In recent years, the field of immunology has been revolutionized by the growing understanding of the fundamental role of microbiota in the immune system function. The immune system has evolved to maintain a symbiotic relationship with these microbes. The aim of our study was to know in depth the uncharacterized metagenome of the Buenos Aires (BA) city population and its metropolitan area, being the second most populated agglomeration in the southern hemisphere. For this purpose, we evaluated 30 individuals (age: 35.23 ± 8.26 years and BMI: 23.91 ± 3.4 kg/m2), from the general population of BA. The hypervariable regions V3-V4 of the bacterial 16S gene was sequenced by MiSeq-Illumina system, obtaining 47526 ± 4718 sequences/sample. The dominant phyla were Bacteroidetes, Firmicutes, Proteobacteria, Verrucomicrobia, and Actinobacteria. Additionally, we compared the microbiota of BA with other westernized populations (Santiago de Chile, Rosario-Argentina, United States-Human-microbiome-project, Bologna-Italy) and the Hadza population of hunter-gatherers. The unweighted UniFrac clustered together all westernized populations, leaving the hunter-gatherer population from Hadza out. In particular, Santiago de Chile?s population turns out to be the closest to BA?s, principally due to the presence of Verrucomicrobiales of the genus Akkermansia. These microorganisms have been proposed as a hallmark of a healthy gut. Finally, westernized populations showed more abundant metabolism related KEEG pathways than hunter-gatherers, including carbohydrate metabolism (amino sugar and nucleotide sugar metabolism), amino acid metabolism (alanine, aspartate and glutamate metabolism), lipid metabolism, biosynthesis of secondary metabolites, and sulfur metabolism. These findings contribute to promote research and comparison of the microbiome in different human populations, in order to develop more efficient therapeutic strategies for the restoration of a healthy dialogue between host and environment.
Fil: Belforte, Fiorella Sabrina. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Fernandez, Natalie. Icahn School Of Medicine At Mount Sinai; Estados Unidos
Fil: Tonin Monzón, Francisco. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina
Fil: Rosso, Ayelen Daiana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina
Fil: Quesada, Sofía. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina
Fil: Cimolai, María Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján; Argentina
Fil: Millán, Andrea Liliana. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Inmunología, Genética y Metabolismo. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Inmunología, Genética y Metabolismo; Argentina
Fil: Cerrone, Gloria Edith. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Inmunología, Genética y Metabolismo. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Inmunología, Genética y Metabolismo; Argentina
Fil: Frechtel, Gustavo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Inmunología, Genética y Metabolismo. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Inmunología, Genética y Metabolismo; Argentina
Fil: Burcelin, Rémy. Inserm; Francia. Université Paul Sabatier; Francia
Fil: Coluccio Leskow, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina
Fil: Penas Steinhardt, Alberto. Instituto Universidad de la Fundación "Héctor Barceló"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina
description In recent years, the field of immunology has been revolutionized by the growing understanding of the fundamental role of microbiota in the immune system function. The immune system has evolved to maintain a symbiotic relationship with these microbes. The aim of our study was to know in depth the uncharacterized metagenome of the Buenos Aires (BA) city population and its metropolitan area, being the second most populated agglomeration in the southern hemisphere. For this purpose, we evaluated 30 individuals (age: 35.23 ± 8.26 years and BMI: 23.91 ± 3.4 kg/m2), from the general population of BA. The hypervariable regions V3-V4 of the bacterial 16S gene was sequenced by MiSeq-Illumina system, obtaining 47526 ± 4718 sequences/sample. The dominant phyla were Bacteroidetes, Firmicutes, Proteobacteria, Verrucomicrobia, and Actinobacteria. Additionally, we compared the microbiota of BA with other westernized populations (Santiago de Chile, Rosario-Argentina, United States-Human-microbiome-project, Bologna-Italy) and the Hadza population of hunter-gatherers. The unweighted UniFrac clustered together all westernized populations, leaving the hunter-gatherer population from Hadza out. In particular, Santiago de Chile?s population turns out to be the closest to BA?s, principally due to the presence of Verrucomicrobiales of the genus Akkermansia. These microorganisms have been proposed as a hallmark of a healthy gut. Finally, westernized populations showed more abundant metabolism related KEEG pathways than hunter-gatherers, including carbohydrate metabolism (amino sugar and nucleotide sugar metabolism), amino acid metabolism (alanine, aspartate and glutamate metabolism), lipid metabolism, biosynthesis of secondary metabolites, and sulfur metabolism. These findings contribute to promote research and comparison of the microbiome in different human populations, in order to develop more efficient therapeutic strategies for the restoration of a healthy dialogue between host and environment.
publishDate 2019
dc.date.none.fl_str_mv 2019-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/107592
Belforte, Fiorella Sabrina; Fernandez, Natalie; Tonin Monzón, Francisco; Rosso, Ayelen Daiana; Quesada, Sofía; et al.; Getting to Know the Gut Microbial Diversity of Metropolitan Buenos Aires Inhabitants; Frontiers Media S.A.; Frontiers in Microbiology; 10; 5-2019; 965-965
1664-302X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/107592
identifier_str_mv Belforte, Fiorella Sabrina; Fernandez, Natalie; Tonin Monzón, Francisco; Rosso, Ayelen Daiana; Quesada, Sofía; et al.; Getting to Know the Gut Microbial Diversity of Metropolitan Buenos Aires Inhabitants; Frontiers Media S.A.; Frontiers in Microbiology; 10; 5-2019; 965-965
1664-302X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/article/10.3389/fmicb.2019.00965/full
info:eu-repo/semantics/altIdentifier/doi/10.3389/fmicb.2019.00965
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
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dc.publisher.none.fl_str_mv Frontiers Media S.A.
publisher.none.fl_str_mv Frontiers Media S.A.
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reponame_str CONICET Digital (CONICET)
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instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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