Less Hadar, Galili Gad
Department of Plant Sciences, the Weizmann Institute of Science, Rehovot 76100, Israel.
BMC Syst Biol. 2009 Jan 26;3:14. doi: 10.1186/1752-0509-3-14.
Being sessile organisms, plants should adjust their metabolism to dynamic changes in their environment. Such adjustments need particular coordination in branched metabolic networks in which a given metabolite can be converted into multiple other metabolites via different enzymatic chains. In the present report, we developed a novel "Gene Coordination" bioinformatics approach and use it to elucidate adjustable transcriptional interactions of two branched amino acid metabolic networks in plants in response to environmental stresses, using publicly available microarray results.
Using our "Gene Coordination" approach, we have identified in Arabidopsis plants two oppositely regulated groups of "highly coordinated" genes within the branched Asp-family network of Arabidopsis plants, which metabolizes the amino acids Lys, Met, Thr, Ile and Gly, as well as a single group of "highly coordinated" genes within the branched aromatic amino acid metabolic network, which metabolizes the amino acids Trp, Phe and Tyr. These genes possess highly coordinated adjustable negative and positive expression responses to various stress cues, which apparently regulate adjustable metabolic shifts between competing branches of these networks. We also provide evidence implying that these highly coordinated genes are central to impose intra- and inter-network interactions between the Asp-family and aromatic amino acid metabolic networks as well as differential system interactions with other growth promoting and stress-associated genome-wide genes.
Our novel Gene Coordination elucidates that branched amino acid metabolic networks in plants are regulated by specific groups of highly coordinated genes that possess adjustable intra-network, inter-network and genome-wide transcriptional interactions. We also hypothesize that such transcriptional interactions enable regulatory metabolic adjustments needed for adaptation to the stresses.
作为固着生物,植物需要根据环境的动态变化调整其新陈代谢。在分支代谢网络中,特定代谢物可通过不同酶链转化为多种其他代谢物,这种调整需要特殊的协调机制。在本报告中,我们开发了一种新的“基因协调”生物信息学方法,并利用公开的微阵列结果,用它来阐明植物中两个分支氨基酸代谢网络在环境胁迫下可调节的转录相互作用。
使用我们的“基因协调”方法,我们在拟南芥中鉴定出两组调控相反的“高度协调”基因,一组位于拟南芥分支天冬氨酸家族网络中,该网络代谢赖氨酸、蛋氨酸、苏氨酸、异亮氨酸和甘氨酸;另一组位于分支芳香族氨基酸代谢网络中,该网络代谢色氨酸、苯丙氨酸和酪氨酸。这些基因对各种胁迫信号具有高度协调的可调节负向和正向表达反应,显然调节了这些网络竞争分支之间的可调节代谢转变。我们还提供了证据,表明这些高度协调的基因对于在天冬氨酸家族和芳香族氨基酸代谢网络之间建立网络内和网络间相互作用,以及与其他促进生长和胁迫相关的全基因组基因的差异系统相互作用至关重要。
我们新的基因协调方法阐明了植物中分支氨基酸代谢网络受特定的高度协调基因群调控,这些基因具有可调节的网络内、网络间和全基因组转录相互作用。我们还假设,这种转录相互作用能够实现适应胁迫所需的调节性代谢调整。