Abiotic Stress Department, Institute of Natural Resources and Agrobiology of Salamanca, IRNASA-CSIC, Cordel de Merinas 40-52, 37008 Salamanca, Spain; Integrative Crop Ecophysiology Group, Plant Physiology Section, Faculty of Biology, University of Barcelona, Diagonal 643, 08028 Barcelona, Spain.
Abiotic Stress Department, Institute of Natural Resources and Agrobiology of Salamanca, IRNASA-CSIC, Cordel de Merinas 40-52, 37008 Salamanca, Spain.
N Biotechnol. 2018 Jan 25;40(Pt B):192-199. doi: 10.1016/j.nbt.2017.08.003. Epub 2017 Aug 18.
The use of correlation networks and hierarchical cluster analysis provides a framework to organize and study the coordination of parameters such as genes, metabolites, proteins and physiological parameters. We have analyzed 142 traits from primary C and N metabolism, including biochemical and gene expression analyses, in a range of 32 different growth conditions (various [CO] levels, temperatures, N supplies, growth stages and experimental methods). To test the integration of primary metabolism, particularly under climate change, we investigated which C and N metabolic traits and transcript levels are correlated in durum wheat flag leaves using a correlation network and a hierarchical cluster analysis. There was a high amount of positive correlation between traits involved in a wide range of biological processes, suggesting a close and intricate coordination between C-N metabolisms at the biochemical and transcriptional levels. Transcript levels for genes related to N uptake and assimilation were especially coexpressed with genes belonging to the respiratory pathway, highlighting the coordination between the synthesis of organic N compounds and provision of energy and C skeletons. Also involved in this coordination were Rubisco and nitrate reductase activities, which play a key role in the regulation of plant metabolism. Carbohydrate accumulation was linked with a down-regulation of photosynthetic and N metabolism genes and nitrate reductase activity. Based on the degree of connectivity between nodes, network exploration facilitated the identification of some traits that may be biologically relevant during plant abiotic stress tolerance, as most of them are involved in limiting steps of plant metabolism.
利用相关网络和层次聚类分析为组织和研究基因、代谢物、蛋白质和生理参数等参数的协调提供了一个框架。我们分析了 32 种不同生长条件下(不同的[CO]水平、温度、氮供应、生长阶段和实验方法) 142 种初级 C 和 N 代谢特性,包括生化和基因表达分析。为了测试初级代谢物的整合,特别是在气候变化下,我们使用相关网络和层次聚类分析,研究了硬粒小麦旗叶中哪些 C 和 N 代谢特性和转录水平与相关。涉及广泛生物过程的性状之间存在大量正相关,这表明 C-N 代谢在生化和转录水平上密切而复杂的协调。与氮吸收和同化相关的基因的转录水平与属于呼吸途径的基因特别共表达,突出了有机 N 化合物的合成与能量和 C 骨架供应之间的协调。Rubisco 和硝酸还原酶活性也参与了这种协调,它们在调节植物代谢中起着关键作用。碳水化合物积累与光合作用和 N 代谢基因以及硝酸还原酶活性的下调有关。基于节点之间的连接程度,网络探索有助于确定一些在植物非生物胁迫耐受过程中可能具有生物学意义的性状,因为它们大多数都参与了植物代谢的限制步骤。