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海洋硅藻的综合调控与代谢网络预测对二氧化碳水平上升的响应。

Integrated Regulatory and Metabolic Networks of the Marine Diatom Predict the Response to Rising CO Levels.

作者信息

Levering Jennifer, Dupont Christopher L, Allen Andrew E, Palsson Bernhard O, Zengler Karsten

机构信息

Department of Bioengineering, University of California San Diego, La Jolla, California, USA.

Microbial and Environmental Genomics, J. Craig Venter Institute, La Jolla, California, USA.

出版信息

mSystems. 2017 Feb 14;2(1). doi: 10.1128/mSystems.00142-16. eCollection 2017 Jan-Feb.

Abstract

Diatoms are eukaryotic microalgae that are responsible for up to 40% of the ocean's primary productivity. How diatoms respond to environmental perturbations such as elevated carbon concentrations in the atmosphere is currently poorly understood. We developed a transcriptional regulatory network based on various transcriptome sequencing expression libraries for different environmental responses to gain insight into the marine diatom's metabolic and regulatory interactions and provide a comprehensive framework of responses to increasing atmospheric carbon levels. This transcriptional regulatory network was integrated with a recently published genome-scale metabolic model of to explore the connectivity of the regulatory network and shared metabolites. The integrated regulatory and metabolic model revealed highly connected modules within carbon and nitrogen metabolism. 's response to rising carbon levels was analyzed by using the recent genome-scale metabolic model with cross comparison to experimental manipulations of carbon dioxide. Using a systems biology approach, we studied the response of the marine diatom to changing atmospheric carbon concentrations on an ocean-wide scale. By integrating an available genome-scale metabolic model and a newly developed transcriptional regulatory network inferred from transcriptome sequencing expression data, we demonstrate that carbon metabolism and nitrogen metabolism are strongly connected and the genes involved are coregulated in this model diatom. These tight regulatory constraints could play a major role during the adaptation of to increasing carbon levels. The transcriptional regulatory network developed can be further used to study the effects of different environmental perturbations on 's metabolism.

摘要

硅藻是真核微藻,其贡献了高达40%的海洋初级生产力。目前人们对硅藻如何应对环境扰动(如大气中碳浓度升高)了解甚少。我们基于针对不同环境响应的各种转录组测序表达文库构建了一个转录调控网络,以深入了解海洋硅藻的代谢和调控相互作用,并提供一个应对大气碳水平上升的综合响应框架。该转录调控网络与最近发表的一个基因组规模代谢模型相结合,以探索调控网络和共享代谢物的连通性。整合后的调控和代谢模型揭示了碳代谢和氮代谢中高度连通的模块。通过使用最近的基因组规模代谢模型并与二氧化碳的实验操作进行交叉比较,分析了[具体物种名称]对碳水平上升的响应。我们采用系统生物学方法,在全海洋尺度上研究了海洋硅藻[具体物种名称]对不断变化的大气碳浓度的响应。通过整合一个可用的基因组规模代谢模型和一个从转录组测序表达数据推断出的新开发的转录调控网络,我们证明了碳代谢和氮代谢紧密相连,且在这个模式硅藻中涉及的基因是共调控的。这些严格的调控限制在[具体物种名称]适应不断增加的碳水平过程中可能发挥主要作用。所构建的转录调控网络可进一步用于研究不同环境扰动对[具体物种名称]代谢的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82ef/5309336/6cd15aacdfca/sys0011720870001.jpg

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