首页> 美国卫生研究院文献>other >New Features on the Environmental Regulation of Metabolism Revealed by Modeling the Cellular Proteomic Adaptations Induced by Light Carbon and Inorganic Nitrogen in Chlamydomonas reinhardtii
【2h】

New Features on the Environmental Regulation of Metabolism Revealed by Modeling the Cellular Proteomic Adaptations Induced by Light Carbon and Inorganic Nitrogen in Chlamydomonas reinhardtii

机译:通过模拟莱茵衣藻光碳和无机氮诱导的细胞蛋白质组学适应变化揭示新陈代谢环境调控的新特征。

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Microalgae are currently emerging to be very promising organisms for the production of biofuels and high-added value compounds. Understanding the influence of environmental alterations on their metabolism is a crucial issue. Light, carbon and nitrogen availability have been reported to induce important metabolic adaptations. So far, the influence of these variables has essentially been studied while varying only one or two environmental factors at the same time. The goal of the present work was to model the cellular proteomic adaptations of the green microalga Chlamydomonas reinhardtii upon the simultaneous changes of light intensity, carbon concentrations (CO2 and acetate), and inorganic nitrogen concentrations (nitrate and ammonium) in the culture medium. Statistical design of experiments (DOE) enabled to define 32 culture conditions to be tested experimentally. Relative protein abundance was quantified by two dimensional differential in-gel electrophoresis (2D-DIGE). Additional assays for respiration, photosynthesis, and lipid and pigment concentrations were also carried out. A hierarchical clustering survey enabled to partition biological variables (proteins + assays) into eight co-regulated clusters. In most cases, the biological variables partitioned in the same cluster had already been reported to participate to common biological functions (acetate assimilation, bioenergetic processes, light harvesting, Calvin cycle, and protein metabolism). The environmental regulation within each cluster was further characterized by a series of multivariate methods including principal component analysis and multiple linear regressions. This metadata analysis enabled to highlight the existence of a clear regulatory pattern for every cluster and to mathematically simulate the effects of light, carbon, and nitrogen. The influence of these environmental variables on cellular metabolism is described in details and thoroughly discussed. This work provides an overview of the metabolic adaptations contributing to maintain cellular homeostasis upon extensive environmental changes. Some of the results presented here could be used as starting points for more specific fundamental or applied investigations.
机译:微藻目前正在成为生产生物燃料和高附加值化合物的非常有前途的生物。了解环境变化对其代谢的影响是至关重要的问题。据报道,光,碳和氮的可用性会诱导重要的代谢适应。到目前为止,基本上已经研究了这些变量的影响,同时仅改变了一个或两个环境因素。当前工作的目的是在培养基中光强度,碳浓度(CO2和乙酸盐)和无机氮浓度(硝酸盐和铵盐)同时变化的情况下,对绿色微藻莱茵衣藻的细胞蛋白质组学适应性进行建模。统计实验设计(DOE)可以定义32种培养条件进行实验测试。相对蛋白质丰度通过二维差分凝胶电泳(2D-DIGE)进行定量。还进行了呼吸,光合作用以及脂质和色素浓度的其他测定。分层聚类调查可将生物变量(蛋白质+分析)划分为八个共同调控的聚类。在大多数情况下,已经报道了分布在同一簇中的生物学变量参与了共同的生物学功能(乙酸同化,生物能过程,光收集,卡尔文循环和蛋白质代谢)。每个集群内的环境调节还通过一系列多元方法来表征,包括主成分分析和多元线性回归。通过元数据分析,可以突出显示每个群集都存在明确的调节模式,并可以数学方式模拟光,碳和氮的影响。这些环境变量对细胞代谢的影响进行了详细描述并进行了全面讨论。这项工作概述了代谢的适应,有助于在广泛的环境变化中维持细胞稳态。本文介绍的某些结果可以用作更具体的基础研究或应用研究的起点。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号