Predictive prokaryotic functional metagenomics applied on an acid mine drainage affected environment

Autores
Bonilla, José Oscar; Kurth, Daniel German; Villegas, Liliana Beatriz
Año de publicación
2017
Idioma
español castellano
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In San Luis, Argentina, the acid mine drainage of an abandoned gold mine is released into LaCarolina stream. In previous studies, we determined that physicochemical parameters and botheukaryotic and prokaryotic diversity are affected by the presence of this mine in the study area. Likewise, we stablished specific relations between physicochemical parameters and microbialtaxonomic groups. The aim of the present study is to determine the prokaryotic functionaldifferences among samples according to the location in the study area. Twelve sediment samplesfrom the mine (7) and from the stream (5), before and after receiving the drainage, were selected to16S rRNA gene amplicon sequencing (MR DNA, TX, USA) on MiSeq platform (Illumina).PICRUSt software (www.picrust.github.io) was used to predict metagenome functional contentfrom 16S rRNA marker gene using KEGG Orthology (KO) database. Principal Component Analysiswas performed to visualize the distribution of functions and samples. This analysis showed thatfunctions such as environmental adaptation, biosynthesis of secondary metabolites, cellularprocesses and signaling, protein biosynthesis, energy metabolism, cell motility and geneticinformation processing were present to a greater extent in the samples taken from the south andlateral galleries of the mine, characterized by high heavy metal concentrations and low pH values.Cell communication function was associated to stream and main gallery samples, which werecharacterized by normal parameters. These results indicate that extreme conditions make tomicroorganisms to maintain an active metabolism, while cell communication is associated to normalconditions, where it is expected to find stable consortia.
Fil: Bonilla, José Oscar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Investigaciones en Tecnología Química. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Investigaciones en Tecnología Química; Argentina
Fil: Kurth, Daniel German. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Planta Piloto de Procesos Industriales Microbiológicos; Argentina
Fil: Villegas, Liliana Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Química de San Luis. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Química de San Luis; Argentina
XXXV Reunión Científica Anual de la Sociedad de Biología de Cuyo
Villa de Merlo
Argentina
Sociedad de Biología de Cuyo
Materia
METAGENOMICS
MICROBIAL DIVERSITY
ACID MINE DRAINAGE
HEAVY METAL 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:11336/195277
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/195277
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Predictive prokaryotic functional metagenomics applied on an acid mine drainage affected environmentBonilla, José OscarKurth, Daniel GermanVillegas, Liliana BeatrizMETAGENOMICSMICROBIAL DIVERSITYACID MINE DRAINAGEHEAVY METAL POLLUTIONhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1In San Luis, Argentina, the acid mine drainage of an abandoned gold mine is released into LaCarolina stream. In previous studies, we determined that physicochemical parameters and botheukaryotic and prokaryotic diversity are affected by the presence of this mine in the study area. Likewise, we stablished specific relations between physicochemical parameters and microbialtaxonomic groups. The aim of the present study is to determine the prokaryotic functionaldifferences among samples according to the location in the study area. Twelve sediment samplesfrom the mine (7) and from the stream (5), before and after receiving the drainage, were selected to16S rRNA gene amplicon sequencing (MR DNA, TX, USA) on MiSeq platform (Illumina).PICRUSt software (www.picrust.github.io) was used to predict metagenome functional contentfrom 16S rRNA marker gene using KEGG Orthology (KO) database. Principal Component Analysiswas performed to visualize the distribution of functions and samples. This analysis showed thatfunctions such as environmental adaptation, biosynthesis of secondary metabolites, cellularprocesses and signaling, protein biosynthesis, energy metabolism, cell motility and geneticinformation processing were present to a greater extent in the samples taken from the south andlateral galleries of the mine, characterized by high heavy metal concentrations and low pH values.Cell communication function was associated to stream and main gallery samples, which werecharacterized by normal parameters. These results indicate that extreme conditions make tomicroorganisms to maintain an active metabolism, while cell communication is associated to normalconditions, where it is expected to find stable consortia.Fil: Bonilla, José Oscar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Investigaciones en Tecnología Química. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Investigaciones en Tecnología Química; ArgentinaFil: Kurth, Daniel German. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Planta Piloto de Procesos Industriales Microbiológicos; ArgentinaFil: Villegas, Liliana Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Química de San Luis. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Química de San Luis; ArgentinaXXXV Reunión Científica Anual de la Sociedad de Biología de CuyoVilla de MerloArgentinaSociedad de Biología de CuyoSociedad de Biologia de Cuyo2017info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectReuniónBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/195277Predictive prokaryotic functional metagenomics applied on an acid mine drainage affected environment; XXXV Reunión Científica Anual de la Sociedad de Biología de Cuyo; Villa de Merlo; Argentina; 2017; 1-2CONICET DigitalCONICETspainfo:eu-repo/semantics/altIdentifier/url/https://sbcuyo.org.ar/wp-content/uploads/2018/05/Biocell_.pdfNacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:50:32Zoai:ri.conicet.gov.ar:11336/195277instacron: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 09:50:32.755CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Predictive prokaryotic functional metagenomics applied on an acid mine drainage affected environment
title Predictive prokaryotic functional metagenomics applied on an acid mine drainage affected environment
spellingShingle Predictive prokaryotic functional metagenomics applied on an acid mine drainage affected environment
Bonilla, José Oscar
METAGENOMICS
MICROBIAL DIVERSITY
ACID MINE DRAINAGE
HEAVY METAL POLLUTION
title_short Predictive prokaryotic functional metagenomics applied on an acid mine drainage affected environment
title_full Predictive prokaryotic functional metagenomics applied on an acid mine drainage affected environment
title_fullStr Predictive prokaryotic functional metagenomics applied on an acid mine drainage affected environment
title_full_unstemmed Predictive prokaryotic functional metagenomics applied on an acid mine drainage affected environment
title_sort Predictive prokaryotic functional metagenomics applied on an acid mine drainage affected environment
dc.creator.none.fl_str_mv Bonilla, José Oscar
Kurth, Daniel German
Villegas, Liliana Beatriz
author Bonilla, José Oscar
author_facet Bonilla, José Oscar
Kurth, Daniel German
Villegas, Liliana Beatriz
author_role author
author2 Kurth, Daniel German
Villegas, Liliana Beatriz
author2_role author
author
dc.subject.none.fl_str_mv METAGENOMICS
MICROBIAL DIVERSITY
ACID MINE DRAINAGE
HEAVY METAL POLLUTION
topic METAGENOMICS
MICROBIAL DIVERSITY
ACID MINE DRAINAGE
HEAVY METAL 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 In San Luis, Argentina, the acid mine drainage of an abandoned gold mine is released into LaCarolina stream. In previous studies, we determined that physicochemical parameters and botheukaryotic and prokaryotic diversity are affected by the presence of this mine in the study area. Likewise, we stablished specific relations between physicochemical parameters and microbialtaxonomic groups. The aim of the present study is to determine the prokaryotic functionaldifferences among samples according to the location in the study area. Twelve sediment samplesfrom the mine (7) and from the stream (5), before and after receiving the drainage, were selected to16S rRNA gene amplicon sequencing (MR DNA, TX, USA) on MiSeq platform (Illumina).PICRUSt software (www.picrust.github.io) was used to predict metagenome functional contentfrom 16S rRNA marker gene using KEGG Orthology (KO) database. Principal Component Analysiswas performed to visualize the distribution of functions and samples. This analysis showed thatfunctions such as environmental adaptation, biosynthesis of secondary metabolites, cellularprocesses and signaling, protein biosynthesis, energy metabolism, cell motility and geneticinformation processing were present to a greater extent in the samples taken from the south andlateral galleries of the mine, characterized by high heavy metal concentrations and low pH values.Cell communication function was associated to stream and main gallery samples, which werecharacterized by normal parameters. These results indicate that extreme conditions make tomicroorganisms to maintain an active metabolism, while cell communication is associated to normalconditions, where it is expected to find stable consortia.
Fil: Bonilla, José Oscar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Investigaciones en Tecnología Química. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Investigaciones en Tecnología Química; Argentina
Fil: Kurth, Daniel German. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Planta Piloto de Procesos Industriales Microbiológicos; Argentina
Fil: Villegas, Liliana Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Química de San Luis. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Química de San Luis; Argentina
XXXV Reunión Científica Anual de la Sociedad de Biología de Cuyo
Villa de Merlo
Argentina
Sociedad de Biología de Cuyo
description In San Luis, Argentina, the acid mine drainage of an abandoned gold mine is released into LaCarolina stream. In previous studies, we determined that physicochemical parameters and botheukaryotic and prokaryotic diversity are affected by the presence of this mine in the study area. Likewise, we stablished specific relations between physicochemical parameters and microbialtaxonomic groups. The aim of the present study is to determine the prokaryotic functionaldifferences among samples according to the location in the study area. Twelve sediment samplesfrom the mine (7) and from the stream (5), before and after receiving the drainage, were selected to16S rRNA gene amplicon sequencing (MR DNA, TX, USA) on MiSeq platform (Illumina).PICRUSt software (www.picrust.github.io) was used to predict metagenome functional contentfrom 16S rRNA marker gene using KEGG Orthology (KO) database. Principal Component Analysiswas performed to visualize the distribution of functions and samples. This analysis showed thatfunctions such as environmental adaptation, biosynthesis of secondary metabolites, cellularprocesses and signaling, protein biosynthesis, energy metabolism, cell motility and geneticinformation processing were present to a greater extent in the samples taken from the south andlateral galleries of the mine, characterized by high heavy metal concentrations and low pH values.Cell communication function was associated to stream and main gallery samples, which werecharacterized by normal parameters. These results indicate that extreme conditions make tomicroorganisms to maintain an active metabolism, while cell communication is associated to normalconditions, where it is expected to find stable consortia.
publishDate 2017
dc.date.none.fl_str_mv 2017
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Reunión
Book
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/195277
Predictive prokaryotic functional metagenomics applied on an acid mine drainage affected environment; XXXV Reunión Científica Anual de la Sociedad de Biología de Cuyo; Villa de Merlo; Argentina; 2017; 1-2
CONICET Digital
CONICET
url http://hdl.handle.net/11336/195277
identifier_str_mv Predictive prokaryotic functional metagenomics applied on an acid mine drainage affected environment; XXXV Reunión Científica Anual de la Sociedad de Biología de Cuyo; Villa de Merlo; Argentina; 2017; 1-2
CONICET Digital
CONICET
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://sbcuyo.org.ar/wp-content/uploads/2018/05/Biocell_.pdf
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.coverage.none.fl_str_mv Nacional
dc.publisher.none.fl_str_mv Sociedad de Biologia de Cuyo
publisher.none.fl_str_mv Sociedad de Biologia de Cuyo
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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