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

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 limi...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Microbiome 2013-07, Vol.1 (1), p.21-21, Article 21
Hauptverfasser: Rascovan, Nicolás, Carbonetto, Belén, Revale, Santiago, Reinert, Marina D, Alvarez, Roberto, Godeas, Alicia M, Colombo, Roxana, Aguilar, Mario, Novas, María Victoria, Iannone, Leopoldo, Zelada, Alicia M, Pardo, Alejandro, Schrauf, Gustavo, Mentaberry, Alejandro, Vazquez, Martín P
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 21
container_issue 1
container_start_page 21
container_title Microbiome
container_volume 1
creator Rascovan, Nicolás
Carbonetto, Belén
Revale, Santiago
Reinert, Marina D
Alvarez, Roberto
Godeas, Alicia M
Colombo, Roxana
Aguilar, Mario
Novas, María Victoria
Iannone, Leopoldo
Zelada, Alicia M
Pardo, Alejandro
Schrauf, Gustavo
Mentaberry, Alejandro
Vazquez, Martín P
description 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. 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. 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.
doi_str_mv 10.1186/2049-2618-1-21
format Article
fullrecord <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3971610</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A534828889</galeid><sourcerecordid>A534828889</sourcerecordid><originalsourceid>FETCH-LOGICAL-b549t-f261a72c15ea37cdcc8f87263174d66926d0df446a8279a665c1896375f6ac1a3</originalsourceid><addsrcrecordid>eNp1UsFu1DAQjRCIVqVXjsgSFzikxI7j2ByQograSkVUUK5Ys854a5TYS-xU9O9xtGXVFcU-jD3z5mnmzRTFS1qdUCrFO1ZxVTJBZUlLRp8UhzvH0wfvg-I4xp9VPorylsvnxQHjvKkUV4fFj-sbJFfd56uO9JAgYorvCZARE6zRh9EZEufpFu9IsCT_prByMBATxnH2LjmMxHnSTRmcnEfwZAPjZrExuCG-KJ5ZGCIe39uj4vunj9en5-Xll7OL0-6yXDVcpdLmOqFlhjYIdWt6Y6SVLRM1bXkvhGKir3rLuQDJWgVCNIZKJeq2sQIMhfqo-LDl3cyrEXuTq5lg0JvJjTDd6QBO70e8u9HrcKtr1VJBq0zQbQlWLvyHYD-SFdCLxHqRWFPNaOZ4c1_EFH7NGJMeXTQ4DOAxzFFTnhtRdSN5hr7eQtcwoHbehkxqFrjumppLJqVUGXXyCCrfHvMogkfrsn8v4e1eQsYk_J3WMMeoL759fZQ8zzTGCe2uWVrpZb3-be_VQ4138L_LVP8By4PJcQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1492693584</pqid></control><display><type>article</type><title>The PAMPA datasets: a metagenomic survey of microbial communities in Argentinean pampean soils</title><source>Springer Nature - Complete Springer Journals</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>PubMed Central Open Access</source><creator>Rascovan, Nicolás ; Carbonetto, Belén ; Revale, Santiago ; Reinert, Marina D ; Alvarez, Roberto ; Godeas, Alicia M ; Colombo, Roxana ; Aguilar, Mario ; Novas, María Victoria ; Iannone, Leopoldo ; Zelada, Alicia M ; Pardo, Alejandro ; Schrauf, Gustavo ; Mentaberry, Alejandro ; Vazquez, Martín P</creator><creatorcontrib>Rascovan, Nicolás ; Carbonetto, Belén ; Revale, Santiago ; Reinert, Marina D ; Alvarez, Roberto ; Godeas, Alicia M ; Colombo, Roxana ; Aguilar, Mario ; Novas, María Victoria ; Iannone, Leopoldo ; Zelada, Alicia M ; Pardo, Alejandro ; Schrauf, Gustavo ; Mentaberry, Alejandro ; Vazquez, Martín P</creatorcontrib><description>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. 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 &gt;800 mm) land use was a primary driver. 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.</description><identifier>ISSN: 2049-2618</identifier><identifier>EISSN: 2049-2618</identifier><identifier>DOI: 10.1186/2049-2618-1-21</identifier><identifier>PMID: 24450949</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Microbial colonies ; Microbiome Announcement ; Ribosomal RNA ; Soil microbiology</subject><ispartof>Microbiome, 2013-07, Vol.1 (1), p.21-21, Article 21</ispartof><rights>COPYRIGHT 2013 BioMed Central Ltd.</rights><rights>Copyright © 2013 Rascovan et al.; licensee BioMed Central Ltd. 2013 Rascovan et al.; licensee BioMed Central Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b549t-f261a72c15ea37cdcc8f87263174d66926d0df446a8279a665c1896375f6ac1a3</citedby><cites>FETCH-LOGICAL-b549t-f261a72c15ea37cdcc8f87263174d66926d0df446a8279a665c1896375f6ac1a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3971610/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3971610/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27903,27904,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24450949$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Rascovan, Nicolás</creatorcontrib><creatorcontrib>Carbonetto, Belén</creatorcontrib><creatorcontrib>Revale, Santiago</creatorcontrib><creatorcontrib>Reinert, Marina D</creatorcontrib><creatorcontrib>Alvarez, Roberto</creatorcontrib><creatorcontrib>Godeas, Alicia M</creatorcontrib><creatorcontrib>Colombo, Roxana</creatorcontrib><creatorcontrib>Aguilar, Mario</creatorcontrib><creatorcontrib>Novas, María Victoria</creatorcontrib><creatorcontrib>Iannone, Leopoldo</creatorcontrib><creatorcontrib>Zelada, Alicia M</creatorcontrib><creatorcontrib>Pardo, Alejandro</creatorcontrib><creatorcontrib>Schrauf, Gustavo</creatorcontrib><creatorcontrib>Mentaberry, Alejandro</creatorcontrib><creatorcontrib>Vazquez, Martín P</creatorcontrib><title>The PAMPA datasets: a metagenomic survey of microbial communities in Argentinean pampean soils</title><title>Microbiome</title><addtitle>Microbiome</addtitle><description>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. 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 &gt;800 mm) land use was a primary driver. 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.</description><subject>Microbial colonies</subject><subject>Microbiome Announcement</subject><subject>Ribosomal RNA</subject><subject>Soil microbiology</subject><issn>2049-2618</issn><issn>2049-2618</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNp1UsFu1DAQjRCIVqVXjsgSFzikxI7j2ByQograSkVUUK5Ys854a5TYS-xU9O9xtGXVFcU-jD3z5mnmzRTFS1qdUCrFO1ZxVTJBZUlLRp8UhzvH0wfvg-I4xp9VPorylsvnxQHjvKkUV4fFj-sbJFfd56uO9JAgYorvCZARE6zRh9EZEufpFu9IsCT_prByMBATxnH2LjmMxHnSTRmcnEfwZAPjZrExuCG-KJ5ZGCIe39uj4vunj9en5-Xll7OL0-6yXDVcpdLmOqFlhjYIdWt6Y6SVLRM1bXkvhGKir3rLuQDJWgVCNIZKJeq2sQIMhfqo-LDl3cyrEXuTq5lg0JvJjTDd6QBO70e8u9HrcKtr1VJBq0zQbQlWLvyHYD-SFdCLxHqRWFPNaOZ4c1_EFH7NGJMeXTQ4DOAxzFFTnhtRdSN5hr7eQtcwoHbehkxqFrjumppLJqVUGXXyCCrfHvMogkfrsn8v4e1eQsYk_J3WMMeoL759fZQ8zzTGCe2uWVrpZb3-be_VQ4138L_LVP8By4PJcQ</recordid><startdate>20130729</startdate><enddate>20130729</enddate><creator>Rascovan, Nicolás</creator><creator>Carbonetto, Belén</creator><creator>Revale, Santiago</creator><creator>Reinert, Marina D</creator><creator>Alvarez, Roberto</creator><creator>Godeas, Alicia M</creator><creator>Colombo, Roxana</creator><creator>Aguilar, Mario</creator><creator>Novas, María Victoria</creator><creator>Iannone, Leopoldo</creator><creator>Zelada, Alicia M</creator><creator>Pardo, Alejandro</creator><creator>Schrauf, Gustavo</creator><creator>Mentaberry, Alejandro</creator><creator>Vazquez, Martín P</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20130729</creationdate><title>The PAMPA datasets: a metagenomic survey of microbial communities in Argentinean pampean soils</title><author>Rascovan, Nicolás ; Carbonetto, Belén ; Revale, Santiago ; Reinert, Marina D ; Alvarez, Roberto ; Godeas, Alicia M ; Colombo, Roxana ; Aguilar, Mario ; Novas, María Victoria ; Iannone, Leopoldo ; Zelada, Alicia M ; Pardo, Alejandro ; Schrauf, Gustavo ; Mentaberry, Alejandro ; Vazquez, Martín P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b549t-f261a72c15ea37cdcc8f87263174d66926d0df446a8279a665c1896375f6ac1a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Microbial colonies</topic><topic>Microbiome Announcement</topic><topic>Ribosomal RNA</topic><topic>Soil microbiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rascovan, Nicolás</creatorcontrib><creatorcontrib>Carbonetto, Belén</creatorcontrib><creatorcontrib>Revale, Santiago</creatorcontrib><creatorcontrib>Reinert, Marina D</creatorcontrib><creatorcontrib>Alvarez, Roberto</creatorcontrib><creatorcontrib>Godeas, Alicia M</creatorcontrib><creatorcontrib>Colombo, Roxana</creatorcontrib><creatorcontrib>Aguilar, Mario</creatorcontrib><creatorcontrib>Novas, María Victoria</creatorcontrib><creatorcontrib>Iannone, Leopoldo</creatorcontrib><creatorcontrib>Zelada, Alicia M</creatorcontrib><creatorcontrib>Pardo, Alejandro</creatorcontrib><creatorcontrib>Schrauf, Gustavo</creatorcontrib><creatorcontrib>Mentaberry, Alejandro</creatorcontrib><creatorcontrib>Vazquez, Martín P</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Microbiome</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rascovan, Nicolás</au><au>Carbonetto, Belén</au><au>Revale, Santiago</au><au>Reinert, Marina D</au><au>Alvarez, Roberto</au><au>Godeas, Alicia M</au><au>Colombo, Roxana</au><au>Aguilar, Mario</au><au>Novas, María Victoria</au><au>Iannone, Leopoldo</au><au>Zelada, Alicia M</au><au>Pardo, Alejandro</au><au>Schrauf, Gustavo</au><au>Mentaberry, Alejandro</au><au>Vazquez, Martín P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The PAMPA datasets: a metagenomic survey of microbial communities in Argentinean pampean soils</atitle><jtitle>Microbiome</jtitle><addtitle>Microbiome</addtitle><date>2013-07-29</date><risdate>2013</risdate><volume>1</volume><issue>1</issue><spage>21</spage><epage>21</epage><pages>21-21</pages><artnum>21</artnum><issn>2049-2618</issn><eissn>2049-2618</eissn><abstract>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. 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 &gt;800 mm) land use was a primary driver. 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.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>24450949</pmid><doi>10.1186/2049-2618-1-21</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2049-2618
ispartof Microbiome, 2013-07, Vol.1 (1), p.21-21, Article 21
issn 2049-2618
2049-2618
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3971610
source Springer Nature - Complete Springer Journals; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; PubMed Central Open Access
subjects Microbial colonies
Microbiome Announcement
Ribosomal RNA
Soil microbiology
title The PAMPA datasets: a metagenomic survey of microbial communities in Argentinean pampean soils
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T06%3A05%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20PAMPA%20datasets:%20a%20metagenomic%20survey%20of%20microbial%20communities%20in%20Argentinean%20pampean%20soils&rft.jtitle=Microbiome&rft.au=Rascovan,%20Nicol%C3%A1s&rft.date=2013-07-29&rft.volume=1&rft.issue=1&rft.spage=21&rft.epage=21&rft.pages=21-21&rft.artnum=21&rft.issn=2049-2618&rft.eissn=2049-2618&rft_id=info:doi/10.1186/2049-2618-1-21&rft_dat=%3Cgale_pubme%3EA534828889%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1492693584&rft_id=info:pmid/24450949&rft_galeid=A534828889&rfr_iscdi=true