监测模型缺氧区海洋脱氧过程中微生物的响应。
Monitoring microbial responses to ocean deoxygenation in a model oxygen minimum zone.
机构信息
Department of Microbiology and Immunology, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z3.
Peter Wall Institute for Advanced Studies, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z2.
出版信息
Sci Data. 2017 Oct 31;4:170158. doi: 10.1038/sdata.2017.158.
Today in Scientific Data, two compendia of geochemical and multi-omic sequence information (DNA, RNA, protein) generated over almost a decade of time series monitoring in a seasonally anoxic coastal marine setting are presented to the scientific community. These data descriptors introduce a model ecosystem for the study of microbial responses to ocean deoxygenation, a phenotype that is currently expanding due to climate change. Public access to this time series information is intended to promote scientific collaborations and the generation of new hypotheses relevant to microbial ecology, biogeochemistry and global change issues.
今日在《科学数据》杂志中，向科学界呈现了近十年在季节性缺氧沿海水域进行时间序列监测所产生的两大全套地球化学和多组学序列信息（DNA、RNA、蛋白质）。这些数据描述符引入了一个模型生态系统，用于研究微生物对海洋脱氧的反应，由于气候变化，这种表型目前正在扩大。提供对这个时间序列信息的公共访问旨在促进科学合作，并生成与微生物生态学、生物地球化学和全球变化问题相关的新假设。
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