University of Washington, Department of Genome Sciences, Seattle, WA, 98195, USA.
Georgia Institute of Technology, School of Biological Sciences and School of Chemistry & Biochemistry, Parker H. Petit Institute for Bioengineering and Bioscience, Atlanta, GA, 30332, USA.
Sci Data. 2024 Nov 22;11(1):1270. doi: 10.1038/s41597-024-04013-5.
In May and June of 2021, marine microbial samples were collected for DNA sequencing in East Sound, WA, USA every 4 hours for 22 days. This high temporal resolution sampling effort captured the last 3 days of a Rhizosolenia sp. bloom, the initiation and complete bloom cycle of Chaetoceros socialis (8 days), and the following bacterial bloom (2 days). Metagenomes were completed on the time series, and the dataset includes 128 size-fractionated microbial samples (0.22-1.2 µm), providing gene abundances for the dominant members of bacteria, archaea, and viruses. This dataset also has time-matched nutrient analyses, flow cytometry data, and physical parameters of the environment at a single point of sampling within a coastal ecosystem that experiences regular bloom events, facilitating a range of modeling efforts that can be leveraged to understand microbial community structure and their influences on the growth, maintenance, and senescence of phytoplankton blooms.
2021 年 5 月和 6 月，在美国华盛顿州东湾每隔 4 小时采集海洋微生物样本进行 DNA 测序，持续 22 天。这项高时间分辨率的采样工作捕获了最后 3 天的 Rhizosolenia sp. 水华、Chaetoceros socialis 的起始和完整水华周期（8 天）以及随后的细菌水华（2 天）。对时间序列进行了宏基因组测序，该数据集包括 128 个大小分级的微生物样本（0.22-1.2μm），提供了细菌、古菌和病毒主要成员的基因丰度。该数据集还具有时间匹配的营养分析、流式细胞术数据以及在经历定期水华事件的沿海生态系统中单个采样点的环境物理参数，这为一系列建模工作提供了便利，可以利用这些工作来了解微生物群落结构及其对浮游植物水华生长、维持和衰老的影响。
