Curtis Tanya Y, Bo Valeria, Tucker Allan, Halford Nigel G
Plant Sciences Department Rothamsted Research Harpenden Hertfordshire UK.
College of Engineering, Design and Physical Sciences Brunel University London Uxbridge Middlesex UK.
Food Energy Secur. 2018 Feb;7(1):e00126. doi: 10.1002/fes3.126. Epub 2018 Feb 25.
A detailed network describing asparagine metabolism in plants was constructed using published data from Arabidopsis () maize (), wheat (), pea (), soybean (), lupin (), and other species, including animals. Asparagine synthesis and degradation is a major part of amino acid and nitrogen metabolism in plants. The complexity of its metabolism, including limiting and regulatory factors, was represented in a logical sequence in a pathway diagram built using yED graph editor software. The network was used with a Unique Network Identification Pipeline in the analysis of data from 18 publicly available transcriptomic data studies. This identified links between genes involved in asparagine metabolism in wheat roots under drought stress, wheat leaves under drought stress, and wheat leaves under conditions of sulfur and nitrogen deficiency. The network represents a powerful aid for interpreting the interactions not only between the genes in the pathway but also among enzymes, metabolites and smaller molecules. It provides a concise, clear understanding of the complexity of asparagine metabolism that could aid the interpretation of data relating to wider amino acid metabolism and other metabolic processes.
利用来自拟南芥、玉米、小麦、豌豆、大豆、羽扇豆等植物以及包括动物在内的其他物种已发表的数据，构建了一个详细描述植物中天冬酰胺代谢的网络。天冬酰胺的合成与降解是植物氨基酸和氮代谢的主要部分。其代谢的复杂性，包括限制因素和调节因素，在使用yED图形编辑器软件构建的途径图中以逻辑顺序呈现。该网络与独特的网络识别管道一起用于分析18项公开可用的转录组数据研究中的数据。这确定了干旱胁迫下小麦根中、干旱胁迫下小麦叶中以及硫和氮缺乏条件下小麦叶中参与天冬酰胺代谢的基因之间的联系。该网络不仅有助于解释途径中基因之间的相互作用，还有助于解释酶、代谢物和小分子之间的相互作用。它提供了对天冬酰胺代谢复杂性的简洁、清晰的理解，这有助于解释与更广泛的氨基酸代谢和其他代谢过程相关的数据。
