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Frontiers in metabolic reconstruction and modeling of plant genomesTI Frontiers in metabolic reconstruction and modeling of plant genomes

机译:植物基因组代谢重建与建模中的前沿技术植物基因组代谢重建与建模中的前沿技术

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摘要

A major goal of post-genomic biology is to reconstruct and model in silico the metabolic networks of entire organisms. Work on bacteria is well advanced, and is now under way for plants and other eukaryotes. Genome-scale modelling in plants is much more challenging than in bacteria. The challenges come from features characteristic of higher organisms (subcellular compartmentation, tissue differentiation) and also from the particular severity in plants of a general problem: genome content whose functions remain undiscovered. This problem results in thousands of genes for which no function is known ('undiscovered genome content') and hundreds of enzymatic and transport functions for which no gene is yet identified. The severity of the undiscovered genome content problem in plants reflects their genome size and complexity. To bring the challenges of plant genome-scale modelling into focus, we first summarize the current status of plant genome-scale models. We then highlight the challenges - and ways to address them - in three areas: identifying genes for missing processes, modelling tissues as opposed to single cells, and finding metabolic functions encoded by undiscovered genome content. We also discuss the emerging view that a significant fraction of undiscovered genome content encodes functions that counter damage to metabolites inflicted by spontaneous chemical reactions or enzymatic mistakes.
机译:基因组后生物学的主要目标是在计算机上重建和建模整个生物的代谢网络。细菌方面的工作已经很先进,目前正在为植物和其他真核生物进行。与细菌相比,植物中的基因组规模建模更具挑战性。挑战来自高等生物的特征(亚细胞区隔,组织分化),也来自植物中一个普遍问题的特殊严重性:其功能尚未被发现的基因组含量。这个问题导致成千上万个基因,其功能未知(“未发现的基因组含量”)以及数百个酶和转运功能,而这些基因尚未被鉴定。植物中未发现的基因组含量问题的严重程度反映了它们的基因组大小和复杂性。为了使植物基因组规模建模的挑战成为焦点,我们首先总结了植物基因组规模模型的当前状态。然后,我们在三个方面重点介绍了挑战-以及解决这些挑战的方式-识别缺失过程的基因,对与单个细胞相反的组织进行建模以及发现由未发现的基因组内容编码的代谢功能。我们还讨论了一种新兴的观点,即未发现的基因组内容中有很大一部分编码的功能可以抵消对自发化学反应或酶学错误造成的代谢产物的破坏。

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