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.

本数据集涵盖基于流式细胞术的海水微生物组微生物计数数据，以及源自液滴数字PCR（droplet digital PCR，ddPCR）的16S rRNA拷贝数数据，二者用于验证可量化微生物群落绝对丰度的分析框架，为后续生态毒理学建模提供支撑。海水采集自AIMS码头（南纬19°16′38.4″，东经147°03′32.1″）。为明确细胞计数与16S rRNA基因绝对拷贝数之间的定量关联，研究人员配制了一系列不同比例的天然海水与人工海水悬浮体系：总样本体积为500mL，天然海水占比分别设置为100%、80%、60%、40%、20%及0%，剩余体积由人工海水补足。完整实验方法细节请参阅相关研究论文Thomas等（2025）（https://doi.org/10.1186/s40793-025-00741-2）及其补充材料，以及配套的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（SRA）中获取，对应生物项目编号为PRJNA1176196。