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Control of primary metabolism by a virulence regulatory network promotes robustness in a plant pathogen

机译:通过毒力调节网络控制初级代谢可增强植物病原体的健壮性

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摘要

Robustness is a key system-level property of living organisms to maintain their functions while tolerating perturbations. We investigate here how a regulatory network controlling multiple virulence factors impacts phenotypic robustness of a bacterial plant pathogen. We reconstruct a cell-scale model of Ralstonia solanacearum connecting a genome-scale metabolic network, a virulence macromolecule network, and a virulence regulatory network, which includes 63 regulatory components. We develop in silico methods to quantify phenotypic robustness under a broad set of conditions in high-throughput simulation analyses. This approach reveals that the virulence regulatory network exerts a control of the primary metabolism to promote robustness upon infection. The virulence regulatory network plugs into the primary metabolism mainly through the control of genes likely acquired via horizontal gene transfer, which results in a functional overlay with ancestral genes. These results support the view that robustness may be a selected trait that promotes pathogenic fitness upon infection.
机译:健壮性是生物体在维持系统功能同时容忍干扰的关键系统级属性。我们在这里调查控制多种毒力因子的监管网络如何影响细菌植物病原体的表型坚固性。我们重建了连接基因组规模的代谢网络,毒力大分子网络和毒力监管网络,其中包括63个监管组成部分的青枯雷尔氏菌的细胞规模模型。我们开发了计算机模拟方法,可以在高通量模拟分析的广泛条件下量化表型的鲁棒性。这种方法表明,毒力调节网络可控制主要的新陈代谢,从而在感染时增强抵抗力。毒力调节网络主要通过控制可能通过水平基因转移获得的基因来插入主要的新陈代谢,这导致祖先基因发生功能性重叠。这些结果支持以下观点:健壮性可能是感染后促进病原体适应性的选定特征。

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