Comprehensive dataset of shotgun metagenomes from oxygen stratified freshwater lakes and ponds
Stratified 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...
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Uppsala universitet, Limnologi
2021
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ftuppsalauniv:oai:DiVA.org:uu-445576 2024-02-11T10:08:59+01:00 Comprehensive dataset of shotgun metagenomes from oxygen stratified freshwater lakes and ponds Buck, Moritz Garcia, Sarahi L Fernandez-Vidal, Leyden Martin, Gaetan Martinez-Rodriguez, Gustavo A. Saarenheimo, Jatta Zopfi, Jakob Bertilsson, Stefan Peura, Sari 2021 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-445576 https://doi.org/10.1038/s41597-021-00910-1 eng eng Uppsala universitet, Limnologi Swedish Univ Agr Sci, Dept Aquat Sci & Assessment, Uppsala, Sweden. Stockholm Univ, Sci Life Lab, Dept Ecol Environm & Plant Sci, Stockholm, Sweden. Swedish Univ Agr Sci, Sci Life Lab, Dept Forest Mycol & Plant Pathol, Uppsala, Sweden. Univ Puerto Rico, Agroenvironm Sci Dept, Mayaguez Campus, San Juan, PR 00936 USA. Univ Jyvaskyla, Dept Biol & Environm Sci, Jyvaskyla, Finland. Univ Basel, Dept Environm Sci Aquat & Stable Isotope Biogeoch, Basel, Switzerland. NATURE RESEARCH Scientific Data, 2021, 8, orcid:0000-0002-8622-0308 orcid:0000-0002-8437-7344 orcid:0000-0003-3892-8157 http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-445576 doi:10.1038/s41597-021-00910-1 PMID 33990618 ISI:000656969500001 info:eu-repo/semantics/openAccess Environmental Sciences Miljövetenskap Article in journal info:eu-repo/semantics/article text 2021 ftuppsalauniv https://doi.org/10.1038/s41597-021-00910-1 2024-01-17T23:33:06Z Stratified 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. Article in Journal/Newspaper Subarctic Uppsala University: Publications (DiVA) Scientific Data 8 1 |
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Open Polar |
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Uppsala University: Publications (DiVA) |
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ftuppsalauniv |
language |
English |
topic |
Environmental Sciences Miljövetenskap |
spellingShingle |
Environmental Sciences Miljövetenskap Buck, Moritz Garcia, Sarahi L Fernandez-Vidal, Leyden Martin, Gaetan Martinez-Rodriguez, Gustavo A. Saarenheimo, Jatta Zopfi, Jakob Bertilsson, Stefan Peura, Sari Comprehensive dataset of shotgun metagenomes from oxygen stratified freshwater lakes and ponds |
topic_facet |
Environmental Sciences Miljövetenskap |
description |
Stratified 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. |
format |
Article in Journal/Newspaper |
author |
Buck, Moritz Garcia, Sarahi L Fernandez-Vidal, Leyden Martin, Gaetan Martinez-Rodriguez, Gustavo A. Saarenheimo, Jatta Zopfi, Jakob Bertilsson, Stefan Peura, Sari |
author_facet |
Buck, Moritz Garcia, Sarahi L Fernandez-Vidal, Leyden Martin, Gaetan Martinez-Rodriguez, Gustavo A. Saarenheimo, Jatta Zopfi, Jakob Bertilsson, Stefan Peura, Sari |
author_sort |
Buck, Moritz |
title |
Comprehensive dataset of shotgun metagenomes from oxygen stratified freshwater lakes and ponds |
title_short |
Comprehensive dataset of shotgun metagenomes from oxygen stratified freshwater lakes and ponds |
title_full |
Comprehensive dataset of shotgun metagenomes from oxygen stratified freshwater lakes and ponds |
title_fullStr |
Comprehensive dataset of shotgun metagenomes from oxygen stratified freshwater lakes and ponds |
title_full_unstemmed |
Comprehensive dataset of shotgun metagenomes from oxygen stratified freshwater lakes and ponds |
title_sort |
comprehensive dataset of shotgun metagenomes from oxygen stratified freshwater lakes and ponds |
publisher |
Uppsala universitet, Limnologi |
publishDate |
2021 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-445576 https://doi.org/10.1038/s41597-021-00910-1 |
genre |
Subarctic |
genre_facet |
Subarctic |
op_relation |
Scientific Data, 2021, 8, orcid:0000-0002-8622-0308 orcid:0000-0002-8437-7344 orcid:0000-0003-3892-8157 http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-445576 doi:10.1038/s41597-021-00910-1 PMID 33990618 ISI:000656969500001 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1038/s41597-021-00910-1 |
container_title |
Scientific Data |
container_volume |
8 |
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1 |
_version_ |
1790608672761577472 |