The PAMPA datasets: A metagenomic survey of microbial communities in Argentinean pampean soils

Autores
Rascovan, Nicolás; Carbonetto, Belén; Revale, Santiago; Reinert, Marina D.; Álvarez, Roberto; Godeas, Alicia M.; Colombo, Roxana; Aguilar, Orlando Mario; Novas, María Victoria; Iannone, Leopoldo; Zelada, Alicia M.; Pardo, Alejandro; Schrauf, Gustavo; Mentaberry, Alejandro; Vázquez, Martín P.
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Background: Soil is among the most diverse and complex environments in the world. Soil microorganisms play an essential role in biogeochemical cycles and affect plant growth and crop production. However, our knowledge of the relationship between species-assemblies and soil ecosystem processes is still very limited. The aim of this study was to generate a comprehensive metagenomic survey to evaluate the effect of high-input agricultural practices on soil microbial communities. Results: We collected soil samples from three different areas in the Argentinean Pampean region under three different types of land uses and two soil sources (bulk and rhizospheric). We extracted total DNA from all samples and also synthetized cDNA from rhizospheric samples. Using 454-FLX technology, we generated 112 16S ribosomal DNA and 14 16S ribosomal RNA amplicon libraries totaling 1.3 M reads and 36 shotgun metagenome libraries totaling 17.8 million reads (7.7 GB). Our preliminary results suggested that water availability could be the primary driver that defined microbial assemblages over land use and soil source. However, when water was not a limiting resource (annual precipitation >800 mm) land use was a primary driver. Conclusion: This was the first metagenomic study of soil conducted in Argentina and our datasets are among the few large soil datasets publicly available. The detailed analysis of these data will provide a step forward in our understanding of how soil microbiomes respond to high-input agricultural systems, and they will serve as a useful comparison with other soil metagenomic studies worldwide.
Instituto de Biotecnologia y Biologia Molecular
Materia
Ciencias Exactas
Amplicon sequencing
Argentina
Land use
Pampas
Shotgun metagenome sequencing
Soil microbial communities
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/85351

id SEDICI_4e57de7d0058decfa44637c21e329af6
oai_identifier_str oai:sedici.unlp.edu.ar:10915/85351
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling The PAMPA datasets: A metagenomic survey of microbial communities in Argentinean pampean soilsRascovan, NicolásCarbonetto, BelénRevale, SantiagoReinert, Marina D.Álvarez, RobertoGodeas, Alicia M.Colombo, RoxanaAguilar, Orlando MarioNovas, María VictoriaIannone, LeopoldoZelada, Alicia M.Pardo, AlejandroSchrauf, GustavoMentaberry, AlejandroVázquez, Martín P.Ciencias ExactasAmplicon sequencingArgentinaLand usePampasShotgun metagenome sequencingSoil microbial communitiesBackground: Soil is among the most diverse and complex environments in the world. Soil microorganisms play an essential role in biogeochemical cycles and affect plant growth and crop production. However, our knowledge of the relationship between species-assemblies and soil ecosystem processes is still very limited. The aim of this study was to generate a comprehensive metagenomic survey to evaluate the effect of high-input agricultural practices on soil microbial communities. Results: We collected soil samples from three different areas in the Argentinean Pampean region under three different types of land uses and two soil sources (bulk and rhizospheric). We extracted total DNA from all samples and also synthetized cDNA from rhizospheric samples. Using 454-FLX technology, we generated 112 16S ribosomal DNA and 14 16S ribosomal RNA amplicon libraries totaling 1.3 M reads and 36 shotgun metagenome libraries totaling 17.8 million reads (7.7 GB). Our preliminary results suggested that water availability could be the primary driver that defined microbial assemblages over land use and soil source. However, when water was not a limiting resource (annual precipitation >800 mm) land use was a primary driver. Conclusion: This was the first metagenomic study of soil conducted in Argentina and our datasets are among the few large soil datasets publicly available. The detailed analysis of these data will provide a step forward in our understanding of how soil microbiomes respond to high-input agricultural systems, and they will serve as a useful comparison with other soil metagenomic studies worldwide.Instituto de Biotecnologia y Biologia Molecular2013info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/85351enginfo:eu-repo/semantics/altIdentifier/issn/2049-2618info:eu-repo/semantics/altIdentifier/doi/10.1186/2049-2618-1-21info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:16:30Zoai:sedici.unlp.edu.ar:10915/85351Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:16:30.888SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv The PAMPA datasets: A metagenomic survey of microbial communities in Argentinean pampean soils
title The PAMPA datasets: A metagenomic survey of microbial communities in Argentinean pampean soils
spellingShingle The PAMPA datasets: A metagenomic survey of microbial communities in Argentinean pampean soils
Rascovan, Nicolás
Ciencias Exactas
Amplicon sequencing
Argentina
Land use
Pampas
Shotgun metagenome sequencing
Soil microbial communities
title_short The PAMPA datasets: A metagenomic survey of microbial communities in Argentinean pampean soils
title_full The PAMPA datasets: A metagenomic survey of microbial communities in Argentinean pampean soils
title_fullStr The PAMPA datasets: A metagenomic survey of microbial communities in Argentinean pampean soils
title_full_unstemmed The PAMPA datasets: A metagenomic survey of microbial communities in Argentinean pampean soils
title_sort The PAMPA datasets: A metagenomic survey of microbial communities in Argentinean pampean soils
dc.creator.none.fl_str_mv Rascovan, Nicolás
Carbonetto, Belén
Revale, Santiago
Reinert, Marina D.
Álvarez, Roberto
Godeas, Alicia M.
Colombo, Roxana
Aguilar, Orlando Mario
Novas, María Victoria
Iannone, Leopoldo
Zelada, Alicia M.
Pardo, Alejandro
Schrauf, Gustavo
Mentaberry, Alejandro
Vázquez, Martín P.
author Rascovan, Nicolás
author_facet Rascovan, Nicolás
Carbonetto, Belén
Revale, Santiago
Reinert, Marina D.
Álvarez, Roberto
Godeas, Alicia M.
Colombo, Roxana
Aguilar, Orlando Mario
Novas, María Victoria
Iannone, Leopoldo
Zelada, Alicia M.
Pardo, Alejandro
Schrauf, Gustavo
Mentaberry, Alejandro
Vázquez, Martín P.
author_role author
author2 Carbonetto, Belén
Revale, Santiago
Reinert, Marina D.
Álvarez, Roberto
Godeas, Alicia M.
Colombo, Roxana
Aguilar, Orlando Mario
Novas, María Victoria
Iannone, Leopoldo
Zelada, Alicia M.
Pardo, Alejandro
Schrauf, Gustavo
Mentaberry, Alejandro
Vázquez, Martín P.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Exactas
Amplicon sequencing
Argentina
Land use
Pampas
Shotgun metagenome sequencing
Soil microbial communities
topic Ciencias Exactas
Amplicon sequencing
Argentina
Land use
Pampas
Shotgun metagenome sequencing
Soil microbial communities
dc.description.none.fl_txt_mv Background: Soil is among the most diverse and complex environments in the world. Soil microorganisms play an essential role in biogeochemical cycles and affect plant growth and crop production. However, our knowledge of the relationship between species-assemblies and soil ecosystem processes is still very limited. The aim of this study was to generate a comprehensive metagenomic survey to evaluate the effect of high-input agricultural practices on soil microbial communities. Results: We collected soil samples from three different areas in the Argentinean Pampean region under three different types of land uses and two soil sources (bulk and rhizospheric). We extracted total DNA from all samples and also synthetized cDNA from rhizospheric samples. Using 454-FLX technology, we generated 112 16S ribosomal DNA and 14 16S ribosomal RNA amplicon libraries totaling 1.3 M reads and 36 shotgun metagenome libraries totaling 17.8 million reads (7.7 GB). Our preliminary results suggested that water availability could be the primary driver that defined microbial assemblages over land use and soil source. However, when water was not a limiting resource (annual precipitation >800 mm) land use was a primary driver. Conclusion: This was the first metagenomic study of soil conducted in Argentina and our datasets are among the few large soil datasets publicly available. The detailed analysis of these data will provide a step forward in our understanding of how soil microbiomes respond to high-input agricultural systems, and they will serve as a useful comparison with other soil metagenomic studies worldwide.
Instituto de Biotecnologia y Biologia Molecular
description Background: Soil is among the most diverse and complex environments in the world. Soil microorganisms play an essential role in biogeochemical cycles and affect plant growth and crop production. However, our knowledge of the relationship between species-assemblies and soil ecosystem processes is still very limited. The aim of this study was to generate a comprehensive metagenomic survey to evaluate the effect of high-input agricultural practices on soil microbial communities. Results: We collected soil samples from three different areas in the Argentinean Pampean region under three different types of land uses and two soil sources (bulk and rhizospheric). We extracted total DNA from all samples and also synthetized cDNA from rhizospheric samples. Using 454-FLX technology, we generated 112 16S ribosomal DNA and 14 16S ribosomal RNA amplicon libraries totaling 1.3 M reads and 36 shotgun metagenome libraries totaling 17.8 million reads (7.7 GB). Our preliminary results suggested that water availability could be the primary driver that defined microbial assemblages over land use and soil source. However, when water was not a limiting resource (annual precipitation >800 mm) land use was a primary driver. Conclusion: This was the first metagenomic study of soil conducted in Argentina and our datasets are among the few large soil datasets publicly available. The detailed analysis of these data will provide a step forward in our understanding of how soil microbiomes respond to high-input agricultural systems, and they will serve as a useful comparison with other soil metagenomic studies worldwide.
publishDate 2013
dc.date.none.fl_str_mv 2013
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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://sedici.unlp.edu.ar/handle/10915/85351
url http://sedici.unlp.edu.ar/handle/10915/85351
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/2049-2618
info:eu-repo/semantics/altIdentifier/doi/10.1186/2049-2618-1-21
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1844616037837832192
score 13.070432