A quantitative PMA-16S rRNA gene sequencing workflow for absolute abundance measurements of seawater microbial communities

This data collection consists of microbial count data from seawater microbiomes based on both flow cytometry and 16S rRNA copy numbers from droplet digital PCR (ddPCR) that were used to validate a framework for quantifying absolute abundance of microbial communities for use in downstream ecotoxicology modelling. Seawater was collected from the AIMS jetty (19°16′38.4”S, 147°03′32.1”E) and the relationship between cell counts and absolute 16S rRNA gene copy numbers was determined by preparing varying proportions of natural seawater and artificial seawater suspensions (natural seawater proportions of 100, 80, 60, 40, 20, and 0% of a total 500 mL sample, with ASW making up the remaining proportion).For full methodological details please refer to the full research publication, Thomas et al. 2025 (https://doi.org/10.1186/s40793-025-00741-2) its supplementary materials and the associated GitHub repository (GitHub - MarieCThomas/Quantitative-PMA-16S-rRNA-Gene-Sequencing-Workflow). Additionally, raw sequencing data can be found in the NCBI Sequence Read Archives under BioProject number PRJNA1176196.

本数据集包含基于流式细胞术（flow cytometry）与液滴数字PCR（droplet digital PCR, ddPCR）所得16S rRNA拷贝数的海水微生物组微生物计数数据，该数据用于验证可应用于下游生态毒理学建模的微生物群落绝对丰度量化框架。研究样本采集自AIMS码头（南纬19°16′38.4″，东经147°03′32.1″），通过配制不同比例的天然海水与人工海水悬浮液（总样本体积为500mL，天然海水占比分别为100%、80%、60%、40%、20%及0%，剩余体积由人工海水（ASW）补足），确定了细胞计数与16S rRNA基因绝对拷贝数之间的关联。如需获取完整实验方法细节，请参阅Thomas等人2025年发表的研究论文（https://doi.org/10.1186/s40793-025-00741-2）、其补充材料及关联GitHub仓库（GitHub - MarieCThomas/Quantitative-PMA-16S-rRNA-Gene-Sequencing-Workflow）。此外，原始测序数据可在NCBI序列读取档案（Sequence Read Archives）中获取，对应的BioProject编号为PRJNA1176196。