Aida Honoka, Ying Bei-Wen
School of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, 305-8572, Ibaraki, Japan.
MiCS, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, 305-8572, Ibaraki, Japan.
Sci Data. 2025 Jun 11;12(1):984. doi: 10.1038/s41597-025-05356-3.
Bacterial population dynamics are essential for understanding microbial survival strategies and optimizing cell culture systems. However, the variation in these dynamics across different environmental conditions remains largely unexplored. This study presents a comprehensive dataset of Escherichia coli growth under well-defined laboratory conditions, comprising 13,608 growth curves across 1,029 chemically defined media made from 44 pure compounds. Growth was monitored in 96-well microplates, capturing temporal changes in optical density linked to specific medium compositions. This dataset bridges environmental inputs with population-level responses, offering a rich resource for systems biology. By providing high-resolution data on bacterial growth behavior, it supports the discovery of fundamental principles governing cellular adaptation and dynamics.
细菌群体动态对于理解微生物生存策略和优化细胞培养系统至关重要。然而，不同环境条件下这些动态的变化在很大程度上仍未得到探索。本研究展示了在明确的实验室条件下大肠杆菌生长的综合数据集，包括由44种纯化合物制成的1029种化学定义培养基上的13608条生长曲线。在96孔微孔板中监测生长情况，捕捉与特定培养基成分相关的光密度随时间的变化。该数据集将环境输入与群体水平的反应联系起来，为系统生物学提供了丰富的资源。通过提供关于细菌生长行为的高分辨率数据，它有助于发现支配细胞适应和动态变化的基本原理。
