Identification and quantification of a novel nitrate-reducing community in sediments of Suquía River basin along a nitrate gradient

Autores
Reyna, Luciana; Wunderlin, Daniel Alberto; Genti de Raimondi, Susana
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We evaluated the molecular diversity of narG gene from Suquía River sediments to assess the impact of the nitrate concentration and water quality on the composition and structure of the nitrate-reducing bacterial community. To this aim, a library of one of the six monitoring stations corresponding to the highest nitrate concentration was constructed and 118 narG clones were screened. Nucleotide sequences were associated to narG gene from alpha-, beta-, delta-, gammaproteobacteria and Thermus thermophilus. Remarkably, 18% of clones contained narG genes with less than 69% similarity to narG sequences available in databases. Thus, indicating the presence of nitrate-reducing bacteria with novel narG genes, which were quantified by real-time PCR. Results show a variable number of narG copies, ranging from less than 1.0 × 102 to 5.0 × 104 copies per ng of DNA, which were associated with a decreased water quality index monitored along the basin at different times.
Fil: Reyna, Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Centro de Investigaciones en Bioquímica Clínica e Inmunología; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Departamento de Bioquímica Clínica; Argentina
Fil: Wunderlin, Daniel Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Centro de Investigaciones en Bioquímica Clínica e Inmunología; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Departamento de Bioquímica Clínica; Argentina
Fil: Genti de Raimondi, Susana. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Departamento de Bioquímica Clínica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Centro de Investigaciones en Bioquímica Clínica e Inmunología; Argentina
Materia
NARG GENE
NITRATE GRADIENT
POLLUTION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/186374
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Identification and quantification of a novel nitrate-reducing community in sediments of Suquía River basin along a nitrate gradientReyna, LucianaWunderlin, Daniel AlbertoGenti de Raimondi, SusanaNARG GENENITRATE GRADIENTPOLLUTIONhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1We evaluated the molecular diversity of narG gene from Suquía River sediments to assess the impact of the nitrate concentration and water quality on the composition and structure of the nitrate-reducing bacterial community. To this aim, a library of one of the six monitoring stations corresponding to the highest nitrate concentration was constructed and 118 narG clones were screened. Nucleotide sequences were associated to narG gene from alpha-, beta-, delta-, gammaproteobacteria and Thermus thermophilus. Remarkably, 18% of clones contained narG genes with less than 69% similarity to narG sequences available in databases. Thus, indicating the presence of nitrate-reducing bacteria with novel narG genes, which were quantified by real-time PCR. Results show a variable number of narG copies, ranging from less than 1.0 × 102 to 5.0 × 104 copies per ng of DNA, which were associated with a decreased water quality index monitored along the basin at different times.Fil: Reyna, Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Centro de Investigaciones en Bioquímica Clínica e Inmunología; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Departamento de Bioquímica Clínica; ArgentinaFil: Wunderlin, Daniel Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Centro de Investigaciones en Bioquímica Clínica e Inmunología; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Departamento de Bioquímica Clínica; ArgentinaFil: Genti de Raimondi, Susana. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Departamento de Bioquímica Clínica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Centro de Investigaciones en Bioquímica Clínica e Inmunología; ArgentinaElsevier2010-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/186374Reyna, Luciana; Wunderlin, Daniel Alberto; Genti de Raimondi, Susana; Identification and quantification of a novel nitrate-reducing community in sediments of Suquía River basin along a nitrate gradient; Elsevier; Environmental Pollution; 158; 5; 5-2010; 1608-16140269-7491CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0269749109006186info:eu-repo/semantics/altIdentifier/doi/10.1016/j.envpol.2009.12.014info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:44:32Zoai:ri.conicet.gov.ar:11336/186374instacron: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:34982025-09-03 09:44:32.624CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Identification and quantification of a novel nitrate-reducing community in sediments of Suquía River basin along a nitrate gradient
title Identification and quantification of a novel nitrate-reducing community in sediments of Suquía River basin along a nitrate gradient
spellingShingle Identification and quantification of a novel nitrate-reducing community in sediments of Suquía River basin along a nitrate gradient
Reyna, Luciana
NARG GENE
NITRATE GRADIENT
POLLUTION
title_short Identification and quantification of a novel nitrate-reducing community in sediments of Suquía River basin along a nitrate gradient
title_full Identification and quantification of a novel nitrate-reducing community in sediments of Suquía River basin along a nitrate gradient
title_fullStr Identification and quantification of a novel nitrate-reducing community in sediments of Suquía River basin along a nitrate gradient
title_full_unstemmed Identification and quantification of a novel nitrate-reducing community in sediments of Suquía River basin along a nitrate gradient
title_sort Identification and quantification of a novel nitrate-reducing community in sediments of Suquía River basin along a nitrate gradient
dc.creator.none.fl_str_mv Reyna, Luciana
Wunderlin, Daniel Alberto
Genti de Raimondi, Susana
author Reyna, Luciana
author_facet Reyna, Luciana
Wunderlin, Daniel Alberto
Genti de Raimondi, Susana
author_role author
author2 Wunderlin, Daniel Alberto
Genti de Raimondi, Susana
author2_role author
author
dc.subject.none.fl_str_mv NARG GENE
NITRATE GRADIENT
POLLUTION
topic NARG GENE
NITRATE GRADIENT
POLLUTION
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv We evaluated the molecular diversity of narG gene from Suquía River sediments to assess the impact of the nitrate concentration and water quality on the composition and structure of the nitrate-reducing bacterial community. To this aim, a library of one of the six monitoring stations corresponding to the highest nitrate concentration was constructed and 118 narG clones were screened. Nucleotide sequences were associated to narG gene from alpha-, beta-, delta-, gammaproteobacteria and Thermus thermophilus. Remarkably, 18% of clones contained narG genes with less than 69% similarity to narG sequences available in databases. Thus, indicating the presence of nitrate-reducing bacteria with novel narG genes, which were quantified by real-time PCR. Results show a variable number of narG copies, ranging from less than 1.0 × 102 to 5.0 × 104 copies per ng of DNA, which were associated with a decreased water quality index monitored along the basin at different times.
Fil: Reyna, Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Centro de Investigaciones en Bioquímica Clínica e Inmunología; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Departamento de Bioquímica Clínica; Argentina
Fil: Wunderlin, Daniel Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Centro de Investigaciones en Bioquímica Clínica e Inmunología; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Departamento de Bioquímica Clínica; Argentina
Fil: Genti de Raimondi, Susana. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Departamento de Bioquímica Clínica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Centro de Investigaciones en Bioquímica Clínica e Inmunología; Argentina
description We evaluated the molecular diversity of narG gene from Suquía River sediments to assess the impact of the nitrate concentration and water quality on the composition and structure of the nitrate-reducing bacterial community. To this aim, a library of one of the six monitoring stations corresponding to the highest nitrate concentration was constructed and 118 narG clones were screened. Nucleotide sequences were associated to narG gene from alpha-, beta-, delta-, gammaproteobacteria and Thermus thermophilus. Remarkably, 18% of clones contained narG genes with less than 69% similarity to narG sequences available in databases. Thus, indicating the presence of nitrate-reducing bacteria with novel narG genes, which were quantified by real-time PCR. Results show a variable number of narG copies, ranging from less than 1.0 × 102 to 5.0 × 104 copies per ng of DNA, which were associated with a decreased water quality index monitored along the basin at different times.
publishDate 2010
dc.date.none.fl_str_mv 2010-05
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/11336/186374
Reyna, Luciana; Wunderlin, Daniel Alberto; Genti de Raimondi, Susana; Identification and quantification of a novel nitrate-reducing community in sediments of Suquía River basin along a nitrate gradient; Elsevier; Environmental Pollution; 158; 5; 5-2010; 1608-1614
0269-7491
CONICET Digital
CONICET
url http://hdl.handle.net/11336/186374
identifier_str_mv Reyna, Luciana; Wunderlin, Daniel Alberto; Genti de Raimondi, Susana; Identification and quantification of a novel nitrate-reducing community in sediments of Suquía River basin along a nitrate gradient; Elsevier; Environmental Pollution; 158; 5; 5-2010; 1608-1614
0269-7491
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0269749109006186
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.envpol.2009.12.014
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
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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score 13.13397

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