Phylogenetic characterization and quantification by Most Probable Number of the microbial communities of biomass from the Upflow Anaerobic Sludge Blanket Reactor under sulfidogenic conditions

Detalhes bibliográficos
Autor(a) principal: Sakamoto, Isabel Kimiko
Data de Publicação: 2019
Outros Autores: Maintiguer, Sandra Imaculada [UNESP], Amancio Varesche, Maria Bernadete
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.4025/actascitechnol.v41i1.39128
http://hdl.handle.net/11449/194969
Resumo: Granulated sludge from anaerobic reactors is constituted by the microbial consortia responsible for the degradation of different substrate present in wastewaters. This study characterized anaerobic microorganisms in a granular sludge from a Uasb reactor (Upflow Anaerobic Sludge Blanket) by Most Probable Number (MPN) technique and method of cloning and sequencing the 16S rDNA gene. The main objective of this study was to quantify and to identify the microorganisms in two different culture media containing sulfate (Posgate C [6.0 sodium lactate and 3.13 g L-1 sodium sulfate] and Zinder [2.24 sodium lactate and 0.96 g L-1 sodium sulfate]). Microorganisms quantified by Postgate C and Zinder media were: 9.30x10(10) and 7.50x10(11) MPN mL(-1) for general anaerobic bacteria; 4.30x10(8) and 2.10x10(8) MPN mL(-1) for sulfate reducing bacteria; and 1.20x10(8) and 1.5x10(8) MPN mL(-1) for methane producing archaea, respectively. Bacteria identified by 16S rDNA gene sequencing from the MPN in both culture media were related to the phyla Firmicutes and Proteobacteria. The conditions of Postgate C culture medium favored the sulfate-reducing bacteria and the Zinder culture medium favored the general anaerobic bacteria.
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spelling Phylogenetic characterization and quantification by Most Probable Number of the microbial communities of biomass from the Upflow Anaerobic Sludge Blanket Reactor under sulfidogenic conditionssulfate reducing bacteriamethane producing archaea16S rDNA genecloning/sequencingupflow anaerobic sludge blanket reactorGranulated sludge from anaerobic reactors is constituted by the microbial consortia responsible for the degradation of different substrate present in wastewaters. This study characterized anaerobic microorganisms in a granular sludge from a Uasb reactor (Upflow Anaerobic Sludge Blanket) by Most Probable Number (MPN) technique and method of cloning and sequencing the 16S rDNA gene. The main objective of this study was to quantify and to identify the microorganisms in two different culture media containing sulfate (Posgate C [6.0 sodium lactate and 3.13 g L-1 sodium sulfate] and Zinder [2.24 sodium lactate and 0.96 g L-1 sodium sulfate]). Microorganisms quantified by Postgate C and Zinder media were: 9.30x10(10) and 7.50x10(11) MPN mL(-1) for general anaerobic bacteria; 4.30x10(8) and 2.10x10(8) MPN mL(-1) for sulfate reducing bacteria; and 1.20x10(8) and 1.5x10(8) MPN mL(-1) for methane producing archaea, respectively. Bacteria identified by 16S rDNA gene sequencing from the MPN in both culture media were related to the phyla Firmicutes and Proteobacteria. The conditions of Postgate C culture medium favored the sulfate-reducing bacteria and the Zinder culture medium favored the general anaerobic bacteria.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Brazilian Innovation Agency (Finep)Univ Sao Paulo, Dept Hidraul & Saneamento, Escola Engn Sao Carlos, Ave Joao Dagnone 1100, BR-13563120 Sao Paulo, SP, BrazilUniv Estadual Paulista, Inst Pesquisa Bioenergia, Rio Claro, SP, BrazilUniv Estadual Paulista, Inst Pesquisa Bioenergia, Rio Claro, SP, BrazilUniv Estadual Maringa, Pro-reitoria Pesquisa Pos-graduacaoUniversidade de São Paulo (USP)Universidade Estadual Paulista (Unesp)Sakamoto, Isabel KimikoMaintiguer, Sandra Imaculada [UNESP]Amancio Varesche, Maria Bernadete2020-12-10T17:00:14Z2020-12-10T17:00:14Z2019-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article11http://dx.doi.org/10.4025/actascitechnol.v41i1.39128Acta Scientiarum-technology. Maringa: Univ Estadual Maringa, Pro-reitoria Pesquisa Pos-graduacao, v. 41, 11 p., 2019.1806-2563http://hdl.handle.net/11449/19496910.4025/actascitechnol.v41i1.39128WOS:000496531700034Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengActa Scientiarum-technologyinfo:eu-repo/semantics/openAccess2021-10-23T03:12:11Zoai:repositorio.unesp.br:11449/194969Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-06T00:04:46.357685Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Phylogenetic characterization and quantification by Most Probable Number of the microbial communities of biomass from the Upflow Anaerobic Sludge Blanket Reactor under sulfidogenic conditions
title Phylogenetic characterization and quantification by Most Probable Number of the microbial communities of biomass from the Upflow Anaerobic Sludge Blanket Reactor under sulfidogenic conditions
spellingShingle Phylogenetic characterization and quantification by Most Probable Number of the microbial communities of biomass from the Upflow Anaerobic Sludge Blanket Reactor under sulfidogenic conditions
Sakamoto, Isabel Kimiko
sulfate reducing bacteria
methane producing archaea
16S rDNA gene
cloning/sequencing
upflow anaerobic sludge blanket reactor
title_short Phylogenetic characterization and quantification by Most Probable Number of the microbial communities of biomass from the Upflow Anaerobic Sludge Blanket Reactor under sulfidogenic conditions
title_full Phylogenetic characterization and quantification by Most Probable Number of the microbial communities of biomass from the Upflow Anaerobic Sludge Blanket Reactor under sulfidogenic conditions
title_fullStr Phylogenetic characterization and quantification by Most Probable Number of the microbial communities of biomass from the Upflow Anaerobic Sludge Blanket Reactor under sulfidogenic conditions
title_full_unstemmed Phylogenetic characterization and quantification by Most Probable Number of the microbial communities of biomass from the Upflow Anaerobic Sludge Blanket Reactor under sulfidogenic conditions
title_sort Phylogenetic characterization and quantification by Most Probable Number of the microbial communities of biomass from the Upflow Anaerobic Sludge Blanket Reactor under sulfidogenic conditions
author Sakamoto, Isabel Kimiko
author_facet Sakamoto, Isabel Kimiko
Maintiguer, Sandra Imaculada [UNESP]
Amancio Varesche, Maria Bernadete
author_role author
author2 Maintiguer, Sandra Imaculada [UNESP]
Amancio Varesche, Maria Bernadete
author2_role author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Sakamoto, Isabel Kimiko
Maintiguer, Sandra Imaculada [UNESP]
Amancio Varesche, Maria Bernadete
dc.subject.por.fl_str_mv sulfate reducing bacteria
methane producing archaea
16S rDNA gene
cloning/sequencing
upflow anaerobic sludge blanket reactor
topic sulfate reducing bacteria
methane producing archaea
16S rDNA gene
cloning/sequencing
upflow anaerobic sludge blanket reactor
description Granulated sludge from anaerobic reactors is constituted by the microbial consortia responsible for the degradation of different substrate present in wastewaters. This study characterized anaerobic microorganisms in a granular sludge from a Uasb reactor (Upflow Anaerobic Sludge Blanket) by Most Probable Number (MPN) technique and method of cloning and sequencing the 16S rDNA gene. The main objective of this study was to quantify and to identify the microorganisms in two different culture media containing sulfate (Posgate C [6.0 sodium lactate and 3.13 g L-1 sodium sulfate] and Zinder [2.24 sodium lactate and 0.96 g L-1 sodium sulfate]). Microorganisms quantified by Postgate C and Zinder media were: 9.30x10(10) and 7.50x10(11) MPN mL(-1) for general anaerobic bacteria; 4.30x10(8) and 2.10x10(8) MPN mL(-1) for sulfate reducing bacteria; and 1.20x10(8) and 1.5x10(8) MPN mL(-1) for methane producing archaea, respectively. Bacteria identified by 16S rDNA gene sequencing from the MPN in both culture media were related to the phyla Firmicutes and Proteobacteria. The conditions of Postgate C culture medium favored the sulfate-reducing bacteria and the Zinder culture medium favored the general anaerobic bacteria.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
2020-12-10T17:00:14Z
2020-12-10T17:00:14Z
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/10.4025/actascitechnol.v41i1.39128
Acta Scientiarum-technology. Maringa: Univ Estadual Maringa, Pro-reitoria Pesquisa Pos-graduacao, v. 41, 11 p., 2019.
1806-2563
http://hdl.handle.net/11449/194969
10.4025/actascitechnol.v41i1.39128
WOS:000496531700034
url http://dx.doi.org/10.4025/actascitechnol.v41i1.39128
http://hdl.handle.net/11449/194969
identifier_str_mv Acta Scientiarum-technology. Maringa: Univ Estadual Maringa, Pro-reitoria Pesquisa Pos-graduacao, v. 41, 11 p., 2019.
1806-2563
10.4025/actascitechnol.v41i1.39128
WOS:000496531700034
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Acta Scientiarum-technology
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 11
dc.publisher.none.fl_str_mv Univ Estadual Maringa, Pro-reitoria Pesquisa Pos-graduacao
publisher.none.fl_str_mv Univ Estadual Maringa, Pro-reitoria Pesquisa Pos-graduacao
dc.source.none.fl_str_mv Web of Science
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
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