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莱茵衣藻的代谢建模:光合自养生长和维持的能量需求。

Metabolic modeling of Chlamydomonas reinhardtii: energy requirements for photoautotrophic growth and maintenance.

作者信息

Kliphuis Anna M J, Klok Anne J, Martens Dirk E, Lamers Packo P, Janssen Marcel, Wijffels René H

机构信息

Bioprocess Engineering, Wageningen University, P.O. Box 8129, 6700 EV Wageningen, The Netherlands.

出版信息

J Appl Phycol. 2012 Apr;24(2):253-266. doi: 10.1007/s10811-011-9674-3. Epub 2011 Apr 15.

DOI:10.1007/s10811-011-9674-3
PMID:22427720
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3289792/
Abstract

In this study, a metabolic network describing the primary metabolism of Chlamydomonas reinhardtii was constructed. By performing chemostat experiments at different growth rates, energy parameters for maintenance and biomass formation were determined. The chemostats were run at low irradiances resulting in a high biomass yield on light of 1.25 g  mol(-1). The ATP requirement for biomass formation from biopolymers (K(x)) was determined to be 109 mmol g(-1) (18.9 mol mol(-1)) and the maintenance requirement (m(ATP)) was determined to be 2.85 mmol g(-1) h(-1). With these energy requirements included in the metabolic network, the network accurately describes the primary metabolism of C. reinhardtii and can be used for modeling of C. reinhardtii growth and metabolism. Simulations confirmed that cultivating microalgae at low growth rates is unfavorable because of the high maintenance requirements which result in low biomass yields. At high light supply rates, biomass yields will decrease due to light saturation effects. Thus, to optimize biomass yield on light energy in photobioreactors, an optimum between low and high light supply rates should be found. These simulations show that metabolic flux analysis can be used as a tool to gain insight into the metabolism of algae and ultimately can be used for the maximization of algal biomass and product yield. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10811-011-9674-3) contains supplementary material, which is available to authorized users.

摘要

在本研究中,构建了一个描述莱茵衣藻初级代谢的代谢网络。通过在不同生长速率下进行恒化器实验,确定了维持和生物量形成的能量参数。恒化器在低光照强度下运行,从而实现了高光生物量产量,为1.25 g mol⁻¹。确定从生物聚合物形成生物量的ATP需求量(K(x))为109 mmol g⁻¹(18.9 mol mol⁻¹),维持需求量(m(ATP))为2.85 mmol g⁻¹ h⁻¹。将这些能量需求纳入代谢网络后,该网络准确描述了莱茵衣藻的初级代谢,可用于莱茵衣藻生长和代谢的建模。模拟结果证实,以低生长速率培养微藻是不利的,因为维持需求高,导致生物量产量低。在高光供应速率下,由于光饱和效应,生物量产量会下降。因此,为了优化光生物反应器中光能的生物量产量,应在低光和高光供应速率之间找到一个最佳值。这些模拟表明,代谢通量分析可作为一种工具,用于深入了解藻类的代谢,最终可用于最大化藻类生物量和产物产量。电子补充材料:本文的在线版本(doi:10.1007/s10811-011-9674-3)包含补充材料,授权用户可获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7591/3289792/68ab4b79b2b8/10811_2011_9674_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7591/3289792/faf39a1c4ec9/10811_2011_9674_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7591/3289792/250712e9a99d/10811_2011_9674_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7591/3289792/49432d00e395/10811_2011_9674_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7591/3289792/68ab4b79b2b8/10811_2011_9674_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7591/3289792/faf39a1c4ec9/10811_2011_9674_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7591/3289792/250712e9a99d/10811_2011_9674_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7591/3289792/49432d00e395/10811_2011_9674_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7591/3289792/68ab4b79b2b8/10811_2011_9674_Fig4_HTML.jpg

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