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Heat Stress Reshapes Prokaryotic Community Structure of Newly Settled Juvenile Acropora digitifera

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Zenodo2026-03-04 更新2026-05-26 收录
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# README — 16S rRNA Gene Sequencing Dataset ## OverviewThis dataset contains paired-end FASTQ files generated by high-throughput sequencing of 16S rRNA genes. The data were produced from a controlled rearing experiment designed to evaluate the effects of heat stress on prokaryotic communities associated with newly settled juvenile Acropora digitifera.Juvenile corals were exposed to either heat‑stress (HS) or control (cont) conditions, and their associated prokaryotic microbiomes were compared alongside samples of rearing seawater.All files are compressed into a ZIP archive and can be used after extraction. ## Dataset Structure### Sample CategoriesThe dataset is divided into three primary sample types:- HS — Heat‑stressed juvenile corals- cont — Control juvenile corals- Seawater — Rearing seawater samples ### Additional Notes- Day1 seawater represents seawater collected before its use in the rearing system and serves as a baseline reference.- Samples labeled “single” or “10polyp” represent prokaryotic communities from individual juvenile polyps or 10 pooled polyps, respectively.- All other samples correspond to seawater. ## File Format- Paired-end FASTQ sequencing files- Files are compressed in: ``` raw_data.zip ```- Extract the ZIP archive to obtain the FASTQ files. ## ContactFor questions about the dataset or its usage, please contact the dataset creator.

# README — 16S rRNA 基因测序数据集 ## 概述 本数据集包含通过16S rRNA基因高通量测序获得的双端FASTQ文件。该数据源自一项受控饲养实验,旨在探究热应激对新附着的指状鹿角珊瑚(*Acropora digitifera*)幼体相关原核生物群落的影响。实验中将幼体珊瑚分别置于热应激(HS)与对照(cont)环境中,并将其携带的原核微生物组与饲养海水样本进行对比分析。所有文件均打包为ZIP压缩归档文件,解压后即可使用。 ## 数据集结构 ### 样本分类 本数据集包含三类主要样本类型: - HS:热应激处理的幼体珊瑚样本 - cont:对照处理的幼体珊瑚样本 - Seawater:饲养海水样本 ### 补充说明 - 首日饲养海水(Day1 seawater)指在投入饲养系统前采集的海水,作为基线参照样本。 - 标注为"single"或"10polyp"的样本分别对应单个幼体珊瑚虫或10个混合珊瑚虫的原核生物群落。 - 其余所有样本均为饲养海水样本。 ## 文件格式 - 双端FASTQ测序文件 - 所有文件已打包为`raw_data.zip`压缩归档 - 解压该ZIP文件即可获取FASTQ格式测序数据 ## 联系方式 若对本数据集及其使用存在疑问,请联系数据集创建者。

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Zenodo
创建时间:
2026-03-04
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