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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Published in:Scientific Data
Main Authors: Buck, Moritz, Garcia, Sarahi L., Fernandez, Leyden, Martin, Gaëtan, Martinez-Rodriguez, Gustavo, Saarenheimo, Jatta, Zopfi, Jakob, Bertilsson, Stefan, Peura, Sari
Format: Article in Journal/Newspaper
Language:English
Published: Stockholms universitet, Institutionen för ekologi, miljö och botanik 2021
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-193248
https://doi.org/10.1038/s41597-021-00910-1
id ftstockholmuniv:oai:DiVA.org:su-193248
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spelling ftstockholmuniv:oai:DiVA.org:su-193248 2023-05-15T18:28:22+02:00 Comprehensive dataset of shotgun metagenomes from oxygen stratified freshwater lakes and ponds Buck, Moritz Garcia, Sarahi L. Fernandez, Leyden Martin, Gaëtan Martinez-Rodriguez, Gustavo Saarenheimo, Jatta Zopfi, Jakob Bertilsson, Stefan Peura, Sari 2021 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-193248 https://doi.org/10.1038/s41597-021-00910-1 eng eng Stockholms universitet, Institutionen för ekologi, miljö och botanik Stockholms universitet, Science for Life Laboratory (SciLifeLab) Uppsala University, Sweden Scientific Data, 2021, 8:1, orcid:0000-0002-8622-0308 http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-193248 doi:10.1038/s41597-021-00910-1 ISI:000656969500001 info:eu-repo/semantics/openAccess Ecology Ekologi Article in journal info:eu-repo/semantics/article text 2021 ftstockholmuniv https://doi.org/10.1038/s41597-021-00910-1 2023-02-23T21:42:36Z 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 Stockholm University: Publications (DiVA) Scientific Data 8 1
institution Open Polar
collection Stockholm University: Publications (DiVA)
op_collection_id ftstockholmuniv
language English
topic Ecology
Ekologi
spellingShingle Ecology
Ekologi
Buck, Moritz
Garcia, Sarahi L.
Fernandez, Leyden
Martin, Gaëtan
Martinez-Rodriguez, Gustavo
Saarenheimo, Jatta
Zopfi, Jakob
Bertilsson, Stefan
Peura, Sari
Comprehensive dataset of shotgun metagenomes from oxygen stratified freshwater lakes and ponds
topic_facet Ecology
Ekologi
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, Leyden
Martin, Gaëtan
Martinez-Rodriguez, Gustavo
Saarenheimo, Jatta
Zopfi, Jakob
Bertilsson, Stefan
Peura, Sari
author_facet Buck, Moritz
Garcia, Sarahi L.
Fernandez, Leyden
Martin, Gaëtan
Martinez-Rodriguez, Gustavo
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 Stockholms universitet, Institutionen för ekologi, miljö och botanik
publishDate 2021
url http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-193248
https://doi.org/10.1038/s41597-021-00910-1
genre Subarctic
genre_facet Subarctic
op_relation Scientific Data, 2021, 8:1,
orcid:0000-0002-8622-0308
http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-193248
doi:10.1038/s41597-021-00910-1
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
container_issue 1
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