植物冷驯化及其对碳水化合物代谢敏感性的影响。

IF 3.5 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Stephan O Adler, Anastasia Kitashova, Ana Bulović, Thomas Nägele, Edda Klipp
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引用次数: 0

摘要

适应不断变化的环境条件的能力对植物的健康和生存至关重要。不仅季节差异对生长在不同栖息地的植物具有挑战性,而且面对气候变化,遭遇极端天气事件的可能性也在增加。对拟南芥对温度和光照条件变化的适应过程的研究表明,拟南芥是一个多基因性状,包括并影响多层分子组织。本文采用实验与计算相结合的方法,研究了冷驯化过程中不同光照强度对拟南芥叶片组织中心碳水化合物代谢的影响。数学建模、模拟和敏感性分析表明,己糖磷酸盐平衡对稳定光合CO2固定具有重要作用。实验验证表明温度对碳水化合物代谢的敏感性有深远的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Plant cold acclimation and its impact on sensitivity of carbohydrate metabolism.

The ability to acclimate to changing environmental conditions is essential for the fitness and survival of plants. Not only are seasonal differences challenging for plants growing in different habitats but, facing climate change, the likelihood of encountering extreme weather events increases. Previous studies of acclimation processes of Arabidopsis thaliana to changes in temperature and light conditions have revealed a multigenic trait comprising and affecting multiple layers of molecular organization. Here, a combination of experimental and computational methods was applied to study the effects of changing light intensities during cold acclimation on the central carbohydrate metabolism of Arabidopsis thaliana leaf tissue. Mathematical modeling, simulation and sensitivity analysis suggested an important role of hexose phosphate balance for stabilization of photosynthetic CO2 fixation. Experimental validation revealed a profound effect of temperature on the sensitivity of carbohydrate metabolism.

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来源期刊
NPJ Systems Biology and Applications
NPJ Systems Biology and Applications Mathematics-Applied Mathematics
CiteScore
5.80
自引率
0.00%
发文量
46
审稿时长
8 weeks
期刊介绍: npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology. We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.
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