Bacterial taxa abundance pattern in an industrial wastewater treatment system determined by the full rRNA cycle approach

Autores
Figuerola, Eva Lucia Margarita; Erijman, Leonardo
Año de publicación
2007
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The description of the diversity and structure of microbial communities through quantification of the constituent populations is one of the major objectives in environmental microbiology. The implications of models for community assembly are practical as well as theoretical, because the extent of biodiversity is thought to influence the function of ecosystems. Current attempts to predict species diversity in different environments derive the numbers of individuals for each operational taxonomic unit (OTU) from the frequency of clones in 16S rDNA gene libraries, which are subjected to a number of inherent biases and artefacts. We show that diversity of the bacterial community present in a complex microbial ensemble can be estimated by fitting the data of the full-cycle rRNA approach to a model of species abundance distribution. Sequences from a 16S rDNA gene library from activated sludge were reliably assigned to OTUs at a genetic distance of 0.04. A group of 17 newly designed rRNA-targeted oligonucleotide probes were used to quantify by fluorescence in situ hybridization, OTUs represented with more than three clones in the 16S rDNA clone library. Cell abundance distribution was best described by a geometric series, after the goodness of fit was evaluated by the Kolmogorov-Smirnov test. Although a complete mechanistic understanding of all the ecological processes involved is still not feasible, describing the distribution pattern of a complex bacterial assemblage model can shed light on the way bacterial communities operate.
Fil: Figuerola, Eva Lucia Margarita. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ingeniería Genética y Biología Molecular "Dr. Héctor N. Torres"; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Erijman, Leonardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ingeniería Genética y Biología Molecular "Dr. Héctor N. Torres"; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Materia
16s
Bacteria
Biodiversity
Gene Library
In Situ Hibridization
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:11336/79726
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Bacterial taxa abundance pattern in an industrial wastewater treatment system determined by the full rRNA cycle approachFiguerola, Eva Lucia MargaritaErijman, Leonardo16sBacteriaBiodiversityGene LibraryIn Situ Hibridizationhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1The description of the diversity and structure of microbial communities through quantification of the constituent populations is one of the major objectives in environmental microbiology. The implications of models for community assembly are practical as well as theoretical, because the extent of biodiversity is thought to influence the function of ecosystems. Current attempts to predict species diversity in different environments derive the numbers of individuals for each operational taxonomic unit (OTU) from the frequency of clones in 16S rDNA gene libraries, which are subjected to a number of inherent biases and artefacts. We show that diversity of the bacterial community present in a complex microbial ensemble can be estimated by fitting the data of the full-cycle rRNA approach to a model of species abundance distribution. Sequences from a 16S rDNA gene library from activated sludge were reliably assigned to OTUs at a genetic distance of 0.04. A group of 17 newly designed rRNA-targeted oligonucleotide probes were used to quantify by fluorescence in situ hybridization, OTUs represented with more than three clones in the 16S rDNA clone library. Cell abundance distribution was best described by a geometric series, after the goodness of fit was evaluated by the Kolmogorov-Smirnov test. Although a complete mechanistic understanding of all the ecological processes involved is still not feasible, describing the distribution pattern of a complex bacterial assemblage model can shed light on the way bacterial communities operate.Fil: Figuerola, Eva Lucia Margarita. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ingeniería Genética y Biología Molecular "Dr. Héctor N. Torres"; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; ArgentinaFil: Erijman, Leonardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ingeniería Genética y Biología Molecular "Dr. Héctor N. Torres"; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; ArgentinaWiley Blackwell Publishing, Inc2007-07info: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/11336/79726Figuerola, Eva Lucia Margarita; Erijman, Leonardo; Bacterial taxa abundance pattern in an industrial wastewater treatment system determined by the full rRNA cycle approach; Wiley Blackwell Publishing, Inc; Environmental Microbiology; 9; 7; 7-2007; 1780-17891462-2912CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1111/j.1462-2920.2007.01298.xinfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1462-2920.2007.01298.xinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-01-08T13:01:07Zoai:ri.conicet.gov.ar:11336/79726instacron: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:34982026-01-08 13:01:07.595CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Bacterial taxa abundance pattern in an industrial wastewater treatment system determined by the full rRNA cycle approach
title Bacterial taxa abundance pattern in an industrial wastewater treatment system determined by the full rRNA cycle approach
spellingShingle Bacterial taxa abundance pattern in an industrial wastewater treatment system determined by the full rRNA cycle approach
Figuerola, Eva Lucia Margarita
16s
Bacteria
Biodiversity
Gene Library
In Situ Hibridization
title_short Bacterial taxa abundance pattern in an industrial wastewater treatment system determined by the full rRNA cycle approach
title_full Bacterial taxa abundance pattern in an industrial wastewater treatment system determined by the full rRNA cycle approach
title_fullStr Bacterial taxa abundance pattern in an industrial wastewater treatment system determined by the full rRNA cycle approach
title_full_unstemmed Bacterial taxa abundance pattern in an industrial wastewater treatment system determined by the full rRNA cycle approach
title_sort Bacterial taxa abundance pattern in an industrial wastewater treatment system determined by the full rRNA cycle approach
dc.creator.none.fl_str_mv Figuerola, Eva Lucia Margarita
Erijman, Leonardo
author Figuerola, Eva Lucia Margarita
author_facet Figuerola, Eva Lucia Margarita
Erijman, Leonardo
author_role author
author2 Erijman, Leonardo
author2_role author
dc.subject.none.fl_str_mv 16s
Bacteria
Biodiversity
Gene Library
In Situ Hibridization
topic 16s
Bacteria
Biodiversity
Gene Library
In Situ Hibridization
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The description of the diversity and structure of microbial communities through quantification of the constituent populations is one of the major objectives in environmental microbiology. The implications of models for community assembly are practical as well as theoretical, because the extent of biodiversity is thought to influence the function of ecosystems. Current attempts to predict species diversity in different environments derive the numbers of individuals for each operational taxonomic unit (OTU) from the frequency of clones in 16S rDNA gene libraries, which are subjected to a number of inherent biases and artefacts. We show that diversity of the bacterial community present in a complex microbial ensemble can be estimated by fitting the data of the full-cycle rRNA approach to a model of species abundance distribution. Sequences from a 16S rDNA gene library from activated sludge were reliably assigned to OTUs at a genetic distance of 0.04. A group of 17 newly designed rRNA-targeted oligonucleotide probes were used to quantify by fluorescence in situ hybridization, OTUs represented with more than three clones in the 16S rDNA clone library. Cell abundance distribution was best described by a geometric series, after the goodness of fit was evaluated by the Kolmogorov-Smirnov test. Although a complete mechanistic understanding of all the ecological processes involved is still not feasible, describing the distribution pattern of a complex bacterial assemblage model can shed light on the way bacterial communities operate.
Fil: Figuerola, Eva Lucia Margarita. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ingeniería Genética y Biología Molecular "Dr. Héctor N. Torres"; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Erijman, Leonardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ingeniería Genética y Biología Molecular "Dr. Héctor N. Torres"; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
description The description of the diversity and structure of microbial communities through quantification of the constituent populations is one of the major objectives in environmental microbiology. The implications of models for community assembly are practical as well as theoretical, because the extent of biodiversity is thought to influence the function of ecosystems. Current attempts to predict species diversity in different environments derive the numbers of individuals for each operational taxonomic unit (OTU) from the frequency of clones in 16S rDNA gene libraries, which are subjected to a number of inherent biases and artefacts. We show that diversity of the bacterial community present in a complex microbial ensemble can be estimated by fitting the data of the full-cycle rRNA approach to a model of species abundance distribution. Sequences from a 16S rDNA gene library from activated sludge were reliably assigned to OTUs at a genetic distance of 0.04. A group of 17 newly designed rRNA-targeted oligonucleotide probes were used to quantify by fluorescence in situ hybridization, OTUs represented with more than three clones in the 16S rDNA clone library. Cell abundance distribution was best described by a geometric series, after the goodness of fit was evaluated by the Kolmogorov-Smirnov test. Although a complete mechanistic understanding of all the ecological processes involved is still not feasible, describing the distribution pattern of a complex bacterial assemblage model can shed light on the way bacterial communities operate.
publishDate 2007
dc.date.none.fl_str_mv 2007-07
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/11336/79726
Figuerola, Eva Lucia Margarita; Erijman, Leonardo; Bacterial taxa abundance pattern in an industrial wastewater treatment system determined by the full rRNA cycle approach; Wiley Blackwell Publishing, Inc; Environmental Microbiology; 9; 7; 7-2007; 1780-1789
1462-2912
CONICET Digital
CONICET
url http://hdl.handle.net/11336/79726
identifier_str_mv Figuerola, Eva Lucia Margarita; Erijman, Leonardo; Bacterial taxa abundance pattern in an industrial wastewater treatment system determined by the full rRNA cycle approach; Wiley Blackwell Publishing, Inc; Environmental Microbiology; 9; 7; 7-2007; 1780-1789
1462-2912
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1111/j.1462-2920.2007.01298.x
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1462-2920.2007.01298.x
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 Wiley Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
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 12.747614

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