A georeferenced rRNA amplicon database of aquatic microbiomes from South America
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Published:2022-09-13
Issue:1
Volume:9
Page:
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ISSN:2052-4463
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Container-title:Scientific Data
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language:en
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Short-container-title:Sci Data
Author:
Metz Sebastian, Huber Paula, Mateus-Barros Erick, Junger Pedro C., de Melo Michaela, Bagatini Inessa Lacativa, Izaguirre Irina, Câmara dos Reis Mariana, Llames Maria E.ORCID, Accattatis Victoria, Quiroga María Victoria, Devercelli MelinaORCID, Schiaffino María Romina, Niño-García Juan Pablo, Bastidas Navarro Marcela, Modenutti Beatriz, Vieira HelenaORCID, Saraceno MartinORCID, Sabio y García Carmen Alejandra, Pereira Emiliano, González-Revello Alvaro, Piccini Claudia, Unrein Fernando, Alonso Cecilia, Sarmento Hugo
Abstract
AbstractThe biogeography of bacterial communities is a key topic in Microbial Ecology. Regarding continental water, most studies are carried out in the northern hemisphere, leaving a gap on microorganism’s diversity patterns on a global scale. South America harbours approximately one third of the world’s total freshwater resources, and is one of these understudied regions. To fill this gap, we compiled 16S rRNA amplicon sequencing data of microbial communities across South America continental water ecosystems, presenting the first database µSudAqua[db]. The database contains over 866 georeferenced samples from 9 different ecoregions with contextual environmental information. For its integration and validation we constructed a curated database (µSudAqua[db.sp]) using samples sequenced by Illumina MiSeq platform with commonly used prokaryote universal primers. This comprised ~60% of the total georeferenced samples of the µSudAqua[db]. This compilation was carried out in the scope of the µSudAqua collaborative network and represents one of the most complete databases of continental water microbial communities from South America.
Funder
São Paulo Research Foundation
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
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