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A dataset of micro biodiversity in benthic sediment at a global scale
Microorganisms, occupying the largest biomass in deep sea, play essential roles in deep-sea ecosystem. It is believed that the microbes in deep-sea sediments are more representative of deep-sea microbial communities, the microbial composition of which is seldom affected by ocean currents. However, t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272205/ https://www.ncbi.nlm.nih.gov/pubmed/37322057 http://dx.doi.org/10.1038/s41597-023-02292-y |
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author | Sun, Xumei Jiang, Danni Shao, Yina Zhang, Siyuan |
author_facet | Sun, Xumei Jiang, Danni Shao, Yina Zhang, Siyuan |
author_sort | Sun, Xumei |
collection | PubMed |
description | Microorganisms, occupying the largest biomass in deep sea, play essential roles in deep-sea ecosystem. It is believed that the microbes in deep-sea sediments are more representative of deep-sea microbial communities, the microbial composition of which is seldom affected by ocean currents. However, the community of benthic microbes on a global scale has not been adequately explored. Herein, we build a comprehensive global dataset determined by 16S rRNA gene sequencing to characterize the biodiversity of microorganisms in benthic sediment. The dataset comprised 212 records from 106 sites, included sequencing of bacteria and archaea for each site and yielded 4,766,502 and 1,562,989 reads, respectively. Through annotation, a total of 110,073 and 15,795 OTUs of bacteria and archaea were obtained, and 61 bacterial phyla and 15 archaeal phyla were identified, of which the dominant phyla were Proteobacteria and Thaumarchaeota in deep-sea sediment. Therefore, our findings provided a biodiversity data of microbial communities in deep-sea sediment at global-scale and laid a foundation to further reveal the structures of microorganism communities in deep sea. |
format | Online Article Text |
id | pubmed-10272205 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102722052023-06-17 A dataset of micro biodiversity in benthic sediment at a global scale Sun, Xumei Jiang, Danni Shao, Yina Zhang, Siyuan Sci Data Data Descriptor Microorganisms, occupying the largest biomass in deep sea, play essential roles in deep-sea ecosystem. It is believed that the microbes in deep-sea sediments are more representative of deep-sea microbial communities, the microbial composition of which is seldom affected by ocean currents. However, the community of benthic microbes on a global scale has not been adequately explored. Herein, we build a comprehensive global dataset determined by 16S rRNA gene sequencing to characterize the biodiversity of microorganisms in benthic sediment. The dataset comprised 212 records from 106 sites, included sequencing of bacteria and archaea for each site and yielded 4,766,502 and 1,562,989 reads, respectively. Through annotation, a total of 110,073 and 15,795 OTUs of bacteria and archaea were obtained, and 61 bacterial phyla and 15 archaeal phyla were identified, of which the dominant phyla were Proteobacteria and Thaumarchaeota in deep-sea sediment. Therefore, our findings provided a biodiversity data of microbial communities in deep-sea sediment at global-scale and laid a foundation to further reveal the structures of microorganism communities in deep sea. Nature Publishing Group UK 2023-06-15 /pmc/articles/PMC10272205/ /pubmed/37322057 http://dx.doi.org/10.1038/s41597-023-02292-y Text en © The Author(s) 2023 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/) . |
spellingShingle | Data Descriptor Sun, Xumei Jiang, Danni Shao, Yina Zhang, Siyuan A dataset of micro biodiversity in benthic sediment at a global scale |
title | A dataset of micro biodiversity in benthic sediment at a global scale |
title_full | A dataset of micro biodiversity in benthic sediment at a global scale |
title_fullStr | A dataset of micro biodiversity in benthic sediment at a global scale |
title_full_unstemmed | A dataset of micro biodiversity in benthic sediment at a global scale |
title_short | A dataset of micro biodiversity in benthic sediment at a global scale |
title_sort | dataset of micro biodiversity in benthic sediment at a global scale |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272205/ https://www.ncbi.nlm.nih.gov/pubmed/37322057 http://dx.doi.org/10.1038/s41597-023-02292-y |
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