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High spatial resolution global ocean metagenomes from Bio-GO-SHIP repeat hydrography transects

Detailed descriptions of microbial communities have lagged far behind physical and chemical measurements in the marine environment. Here, we present 971 globally distributed surface ocean metagenomes collected at high spatio-temporal resolution. Our low-cost metagenomic sequencing protocol produced...

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Autores principales: Larkin, Alyse A., Garcia, Catherine A., Garcia, Nathan, Brock, Melissa L., Lee, Jenna A., Ustick, Lucas J., Barbero, Leticia, Carter, Brendan R., Sonnerup, Rolf E., Talley, Lynne D., Tarran, Glen A., Volkov, Denis L., Martiny, Adam C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8052323/
https://www.ncbi.nlm.nih.gov/pubmed/33863919
http://dx.doi.org/10.1038/s41597-021-00889-9
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author Larkin, Alyse A.
Garcia, Catherine A.
Garcia, Nathan
Brock, Melissa L.
Lee, Jenna A.
Ustick, Lucas J.
Barbero, Leticia
Carter, Brendan R.
Sonnerup, Rolf E.
Talley, Lynne D.
Tarran, Glen A.
Volkov, Denis L.
Martiny, Adam C.
author_facet Larkin, Alyse A.
Garcia, Catherine A.
Garcia, Nathan
Brock, Melissa L.
Lee, Jenna A.
Ustick, Lucas J.
Barbero, Leticia
Carter, Brendan R.
Sonnerup, Rolf E.
Talley, Lynne D.
Tarran, Glen A.
Volkov, Denis L.
Martiny, Adam C.
author_sort Larkin, Alyse A.
collection PubMed
description Detailed descriptions of microbial communities have lagged far behind physical and chemical measurements in the marine environment. Here, we present 971 globally distributed surface ocean metagenomes collected at high spatio-temporal resolution. Our low-cost metagenomic sequencing protocol produced 3.65 terabases of data, where the median number of base pairs per sample was 3.41 billion. The median distance between sampling stations was 26 km. The metagenomic libraries described here were collected as a part of a biological initiative for the Global Ocean Ship-based Hydrographic Investigations Program, or “Bio-GO-SHIP.” One of the primary aims of GO-SHIP is to produce high spatial and vertical resolution measurements of key state variables to directly quantify climate change impacts on ocean environments. By similarly collecting marine metagenomes at high spatiotemporal resolution, we expect that this dataset will help answer questions about the link between microbial communities and biogeochemical fluxes in a changing ocean.
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spelling pubmed-80523232021-05-05 High spatial resolution global ocean metagenomes from Bio-GO-SHIP repeat hydrography transects Larkin, Alyse A. Garcia, Catherine A. Garcia, Nathan Brock, Melissa L. Lee, Jenna A. Ustick, Lucas J. Barbero, Leticia Carter, Brendan R. Sonnerup, Rolf E. Talley, Lynne D. Tarran, Glen A. Volkov, Denis L. Martiny, Adam C. Sci Data Data Descriptor Detailed descriptions of microbial communities have lagged far behind physical and chemical measurements in the marine environment. Here, we present 971 globally distributed surface ocean metagenomes collected at high spatio-temporal resolution. Our low-cost metagenomic sequencing protocol produced 3.65 terabases of data, where the median number of base pairs per sample was 3.41 billion. The median distance between sampling stations was 26 km. The metagenomic libraries described here were collected as a part of a biological initiative for the Global Ocean Ship-based Hydrographic Investigations Program, or “Bio-GO-SHIP.” One of the primary aims of GO-SHIP is to produce high spatial and vertical resolution measurements of key state variables to directly quantify climate change impacts on ocean environments. By similarly collecting marine metagenomes at high spatiotemporal resolution, we expect that this dataset will help answer questions about the link between microbial communities and biogeochemical fluxes in a changing ocean. Nature Publishing Group UK 2021-04-16 /pmc/articles/PMC8052323/ /pubmed/33863919 http://dx.doi.org/10.1038/s41597-021-00889-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Larkin, Alyse A.
Garcia, Catherine A.
Garcia, Nathan
Brock, Melissa L.
Lee, Jenna A.
Ustick, Lucas J.
Barbero, Leticia
Carter, Brendan R.
Sonnerup, Rolf E.
Talley, Lynne D.
Tarran, Glen A.
Volkov, Denis L.
Martiny, Adam C.
High spatial resolution global ocean metagenomes from Bio-GO-SHIP repeat hydrography transects
title High spatial resolution global ocean metagenomes from Bio-GO-SHIP repeat hydrography transects
title_full High spatial resolution global ocean metagenomes from Bio-GO-SHIP repeat hydrography transects
title_fullStr High spatial resolution global ocean metagenomes from Bio-GO-SHIP repeat hydrography transects
title_full_unstemmed High spatial resolution global ocean metagenomes from Bio-GO-SHIP repeat hydrography transects
title_short High spatial resolution global ocean metagenomes from Bio-GO-SHIP repeat hydrography transects
title_sort high spatial resolution global ocean metagenomes from bio-go-ship repeat hydrography transects
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8052323/
https://www.ncbi.nlm.nih.gov/pubmed/33863919
http://dx.doi.org/10.1038/s41597-021-00889-9
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