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

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 bi...

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Autores principales:	Figuerola, Eva Lucía Margarita, Erijman, Leonardo
Publicado:	2007
Materias:	primer DNA RNA 16S article bacterium biodiversity biological model DNA sequence fluorescence in situ hybridization fluorescence microscopy gene library genetics microbiology molecular genetics nonparametric test nucleotide sequence phylogeny sewage water management Bacteria Base Sequence Biodiversity DNA Primers Environmental Microbiology Gene Library In Situ Hybridization, Fluorescence Microscopy, Fluorescence Models, Biological Molecular Sequence Data Phylogeny RNA, Ribosomal, 16S Sequence Analysis, DNA Sewage Statistics, Nonparametric Waste Disposal, Fluid Water Microbiology Water Purification Bacteria (microorganisms) Otus
Acceso en línea:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_14622912_v9_n7_p1780_Figuerola http://hdl.handle.net/20.500.12110/paper_14622912_v9_n7_p1780_Figuerola
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	paper:paper_14622912_v9_n7_p1780_Figuerola
record_format	dspace
spelling	paper:paper_14622912_v9_n7_p1780_Figuerola2023-06-08T16:16:15Z Bacterial taxa abundance pattern in an industrial wastewater treatment system determined by the full rRNA cycle approach Figuerola, Eva Lucía Margarita Erijman, Leonardo primer DNA RNA 16S article bacterium biodiversity biological model DNA sequence fluorescence in situ hybridization fluorescence microscopy gene library genetics microbiology molecular genetics nonparametric test nucleotide sequence phylogeny sewage water management Bacteria Base Sequence Biodiversity DNA Primers Environmental Microbiology Gene Library In Situ Hybridization, Fluorescence Microscopy, Fluorescence Models, Biological Molecular Sequence Data Phylogeny RNA, Ribosomal, 16S Sequence Analysis, DNA Sewage Statistics, Nonparametric Waste Disposal, Fluid Water Microbiology Water Purification Bacteria (microorganisms) Otus 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. © 2007 The Authors. Fil:Figuerola, E.L.M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Erijman, L. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2007 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_14622912_v9_n7_p1780_Figuerola http://hdl.handle.net/20.500.12110/paper_14622912_v9_n7_p1780_Figuerola
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	primer DNA RNA 16S article bacterium biodiversity biological model DNA sequence fluorescence in situ hybridization fluorescence microscopy gene library genetics microbiology molecular genetics nonparametric test nucleotide sequence phylogeny sewage water management Bacteria Base Sequence Biodiversity DNA Primers Environmental Microbiology Gene Library In Situ Hybridization, Fluorescence Microscopy, Fluorescence Models, Biological Molecular Sequence Data Phylogeny RNA, Ribosomal, 16S Sequence Analysis, DNA Sewage Statistics, Nonparametric Waste Disposal, Fluid Water Microbiology Water Purification Bacteria (microorganisms) Otus
spellingShingle	primer DNA RNA 16S article bacterium biodiversity biological model DNA sequence fluorescence in situ hybridization fluorescence microscopy gene library genetics microbiology molecular genetics nonparametric test nucleotide sequence phylogeny sewage water management Bacteria Base Sequence Biodiversity DNA Primers Environmental Microbiology Gene Library In Situ Hybridization, Fluorescence Microscopy, Fluorescence Models, Biological Molecular Sequence Data Phylogeny RNA, Ribosomal, 16S Sequence Analysis, DNA Sewage Statistics, Nonparametric Waste Disposal, Fluid Water Microbiology Water Purification Bacteria (microorganisms) Otus Figuerola, Eva Lucía Margarita Erijman, Leonardo Bacterial taxa abundance pattern in an industrial wastewater treatment system determined by the full rRNA cycle approach
topic_facet	primer DNA RNA 16S article bacterium biodiversity biological model DNA sequence fluorescence in situ hybridization fluorescence microscopy gene library genetics microbiology molecular genetics nonparametric test nucleotide sequence phylogeny sewage water management Bacteria Base Sequence Biodiversity DNA Primers Environmental Microbiology Gene Library In Situ Hybridization, Fluorescence Microscopy, Fluorescence Models, Biological Molecular Sequence Data Phylogeny RNA, Ribosomal, 16S Sequence Analysis, DNA Sewage Statistics, Nonparametric Waste Disposal, Fluid Water Microbiology Water Purification Bacteria (microorganisms) Otus
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. © 2007 The Authors.
author	Figuerola, Eva Lucía Margarita Erijman, Leonardo
author_facet	Figuerola, Eva Lucía Margarita Erijman, Leonardo
author_sort	Figuerola, Eva Lucía Margarita
title	Bacterial taxa abundance pattern in an industrial wastewater treatment system determined by the full rRNA cycle approach
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
publishDate	2007
url	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_14622912_v9_n7_p1780_Figuerola http://hdl.handle.net/20.500.12110/paper_14622912_v9_n7_p1780_Figuerola
work_keys_str_mv	AT figuerolaevaluciamargarita bacterialtaxaabundancepatterninanindustrialwastewatertreatmentsystemdeterminedbythefullrrnacycleapproach AT erijmanleonardo bacterialtaxaabundancepatterninanindustrialwastewatertreatmentsystemdeterminedbythefullrrnacycleapproach
_version_	1768545894836207616

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

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