Näytä suppeat kuvailutiedot

dc.contributor.authorBuck, Moritz
dc.contributor.authorGarcia, Sarahi L.
dc.contributor.authorFernandez, Leyden
dc.contributor.authorMartin, Gaëtan
dc.contributor.authorMartinez-Rodriguez, Gustavo A.
dc.contributor.authorSaarenheimo, Jatta
dc.contributor.authorZopfi, Jakob
dc.contributor.authorBertilsson, Stefan
dc.contributor.authorPeura, Sari
dc.date.accessioned2021-05-24T08:43:14Z
dc.date.available2021-05-24T08:43:14Z
dc.date.issued2021
dc.identifier.citationBuck, M., Garcia, S. L., Fernandez, L., Martin, G., Martinez-Rodriguez, G. A., Saarenheimo, J., Zopfi, J., Bertilsson, S., & Peura, S. (2021). Comprehensive dataset of shotgun metagenomes from oxygen stratified freshwater lakes and ponds. <i>Scientific Data</i>, <i>8</i>, Article 131. <a href="https://doi.org/10.1038/s41597-021-00910-1" target="_blank">https://doi.org/10.1038/s41597-021-00910-1</a>
dc.identifier.otherCONVID_86927626
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/75875
dc.description.abstractStratified lakes and ponds featuring steep oxygen gradients are significant net sources of greenhouse gases and hotspots in the carbon cycle. Despite their significant biogeochemical roles, the microbial communities, especially in the oxygen depleted compartments, are poorly known. Here, we present a comprehensive dataset including 267 shotgun metagenomes from 41 stratified lakes and ponds mainly located in the boreal and subarctic regions, but also including one tropical reservoir and one temperate lake. For most lakes and ponds, the data includes a vertical sample set spanning from the oxic surface to the anoxic bottom layer. The majority of the samples were collected during the open water period, but also a total of 29 samples were collected from under the ice. In addition to the metagenomic sequences, the dataset includes environmental variables for the samples, such as oxygen, nutrient and organic carbon concentrations. The dataset is ideal for further exploring the microbial taxonomic and functional diversity in freshwater environments and potential climate change impacts on the functioning of these ecosystems.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherNature Publishing Group
dc.relation.ispartofseriesScientific Data
dc.rightsCC BY 4.0
dc.subject.otherFreshwater ecology
dc.subject.otherMetagenomics
dc.subject.otherMicrobial ecology
dc.subject.otherWater microbiology
dc.titleComprehensive dataset of shotgun metagenomes from oxygen stratified freshwater lakes and ponds
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202105243135
dc.contributor.laitosBio- ja ympäristötieteiden laitosfi
dc.contributor.laitosDepartment of Biological and Environmental Scienceen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.description.reviewstatuspeerReviewed
dc.relation.issn2052-4463
dc.relation.volume8
dc.type.versionpublishedVersion
dc.rights.copyright© The Author(s) 2021
dc.rights.accesslevelopenAccessfi
dc.subject.ysomikrobiekologia
dc.subject.ysodata
dc.subject.ysohiilen kierto
dc.subject.ysolammet
dc.subject.ysojärvet
dc.subject.ysogenomiikka
dc.subject.ysomikrobisto
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p16314
jyx.subject.urihttp://www.yso.fi/onto/yso/p27250
jyx.subject.urihttp://www.yso.fi/onto/yso/p28986
jyx.subject.urihttp://www.yso.fi/onto/yso/p18535
jyx.subject.urihttp://www.yso.fi/onto/yso/p9374
jyx.subject.urihttp://www.yso.fi/onto/yso/p5146
jyx.subject.urihttp://www.yso.fi/onto/yso/p27039
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1038/s41597-021-00910-1
jyx.fundinginformationThe sequencing was funded by a grant from the Science for Life Laboratory biodiversity program and SciLifeLab fellows program. Sequencing was performed by the SNP&SEQ Technology Platform in Uppsala. The facility is part of the National Genomics Infrastructure (NGI) Sweden and Science for Life Laboratory. The SNP&SEQ Platform is also supported by the Swedish Research Council and the Knut and Alice Wallenberg Foundation. The computations were performed on resources provided by SNIC through Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX) under Project SNIC snic2020-5-19. We also want to thank the SciLifeLab Data Center for helping us to make the data available more freely. Samplings were funded by miscellaneous grants from the Academy of Finland, INTERACT, K&A Wallenberg Foundation, Olsson-Borgh Foundation, Swedish Research Council, and Swedish Research Council Formas. Open access funding provided by Swedish University of Agricultural Sciences.


Aineistoon kuuluvat tiedostot

Thumbnail

Aineisto kuuluu seuraaviin kokoelmiin

Näytä suppeat kuvailutiedot

CC BY 4.0
Ellei muuten mainita, aineiston lisenssi on CC BY 4.0