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位于韦尔瓦(西班牙西南部)盐沼中磷石膏堆的原核生物和真核生物的代谢条形码数据。

Metabarcoding data of prokaryotes and eukaryotes inhabiting the phosphogypsum stockpiles on the salt marshes of Huelva (SW Spain).

作者信息

Gómez-Villegas Patricia, Guerrero José Luis, Pérez-Rodríguez Miguel, Bolivar Juan Pedro, Vigara Javier, León Rosa

机构信息

Laboratory of Biochemistry, Center for Natural Resources, Health and Environment (RENSMA), University of Huelva, Avda. de las Fuerzas Armadas s/n, Huelva 21071, Spain.

Department of Integrated Sciences, Center for Natural Resources, Health and Environment (RENSMA), University of Huelva, Avda. de las Fuerzas Armadas s/n, Huelva 21071, Spain.

出版信息

Data Brief. 2022 Feb 22;41:107989. doi: 10.1016/j.dib.2022.107989. eCollection 2022 Apr.

DOI:10.1016/j.dib.2022.107989
PMID:35252502
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8891958/
Abstract

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".

摘要

四十多年来,约1亿吨酸度极高、重金属和放射性核素浓度很高的磷石膏被倾倒在韦尔瓦(西班牙西南部)廷托河河口的盐沼上。尽管能够在这些恶劣条件下蓬勃生长的微生物群落可能会对磷石膏成分的生物地球化学循环产生重大影响,并且可能包含具有生物技术价值的新物种,但目前对其一无所知。对编码16S/18S rRNA的基因进行高通量测序是揭示极端环境中微生物多样性的有力工具。本文首次描述了在韦尔瓦磷石膏堆中采集的两份水样中的原核生物和真核生物多样性。提供了在MiSeq平台上测序后获得的两份磷石膏样品以及两份参考样品(海水和廷托河水)的16S/18S rRNA标记基因的原始扩增子。还展示了使用QIIME2管道对获得的读数进行处理和聚类后得到的操作分类单元(OTU),以及通过与SILVA数据库比较进行的分类归属,以完善《通过高通量16S/18S rDNA测序方法探索栖息在韦尔瓦(西班牙西南部)磷石膏堆中的微生物群落》一文的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14e4/8891958/0afd6c14c23a/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14e4/8891958/ada3eb748ec5/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14e4/8891958/0afd6c14c23a/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14e4/8891958/ada3eb748ec5/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14e4/8891958/0afd6c14c23a/gr2.jpg

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本文引用的文献

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Aquat Toxicol. 2022 Apr;245:106103. doi: 10.1016/j.aquatox.2022.106103. Epub 2022 Jan 24.
2
Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2.使用QIIME 2进行可重复、交互式、可扩展和可延伸的微生物组数据科学研究。
Nat Biotechnol. 2019 Aug;37(8):852-857. doi: 10.1038/s41587-019-0209-9.
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Characterization of the Microbial Population Inhabiting a Solar Saltern Pond of the Odiel Marshlands (SW Spain).
characterizing the microbial population inhabiting a solar saltern pond of the odiel marshlands (sw spain).
Mar Drugs. 2018 Sep 12;16(9):332. doi: 10.3390/md16090332.
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VSEARCH: a versatile open source tool for metagenomics.VSEARCH:一款用于宏基因组学的多功能开源工具。
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DADA2: High-resolution sample inference from Illumina amplicon data.DADA2:从Illumina扩增子数据进行高分辨率样本推断。
Nat Methods. 2016 Jul;13(7):581-3. doi: 10.1038/nmeth.3869. Epub 2016 May 23.
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The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. SILVA 核糖体 RNA 基因数据库项目:改进的数据处理和基于网络的工具。
Nucleic Acids Res. 2013 Jan;41(Database issue):D590-6. doi: 10.1093/nar/gks1219. Epub 2012 Nov 28.