期刊
DATA IN BRIEF
卷 41, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.dib.2022.107989
关键词
Metataxonomy; Metabarcoding; 16s rRNA; 18s rRNA; Phosphogypsum; Extreme environment
资金
- University of Huelva
- Operative FEDER Program-Andalucia [UHU-1257518, UHU-1255876]
- SUBV. COOP.ALENTEJO-ALGARVE-ANDALUCIA
- European Regional Development Fund through the Agencia Estatal de In-vestigacion [PID 2019-110438RB-C22]
- Andalucian government (I + D + i-JA-PAIDI-Retos project) [2020-PY20_00728]
This study provides the first description of prokaryotic and eukaryotic diversity in the phosphogypsum stacks of Huelva, Spain, and presents sequencing data and taxonomic assignments.
Around 100 Mt of phosphogypsum (PG) of extreme acidity and with high concentrations of heavy metals and radionuclides have been deposited on the salt marshes of the Tinto River estuary in Huelva (SW Spain) for more than forty years. The microbial community able to thrive in these adverse conditions remains totally unknown, despite the fact that it can highly influence the biogeochemical cycle of the phosphogypsum components and include new species with biotechnological interest. High throughput sequencing of 16S/18S rRNA encoding genes is a potent tool to uncover the microbial diversity of extreme environments. This data article describes for the first time the prokaryotic and eukaryotic diversity of two water samples collected in the Huelva phosphogypsum stacks. The raw amplicons of the 16S/18S rRNA maker genes for the two phosphogypsum samples and two reference samples (seawater and the Tinto River water) obtained after sequencing on MiSeq platform are provided. The operational taxonomic units (OTUs) obtained after the treatment and clustering of the obtained reads with the QIIME2 pipeline and their taxonomic assignation performed by comparison with the SILVA database are also presented to complete the information of the article Exploring the microbial community inhabiting the phosphogypsum stacks of Huelva (SW, Spain) by a high throughput 16S/18S rDNA Sequencing approach. (c) 2022 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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