Systems Biology Program, School of Engineering, Computing and Mathematics, University of Exeter, Exeter, United Kingdom.
PLoS Comput Biol. 2010 Aug 26;6(8):e1000907. doi: 10.1371/journal.pcbi.1000907.
A high level of robustness against gene deletion is observed in many organisms. However, it is still not clear which biochemical features underline this robustness and how these are acquired during evolution. One hypothesis, specific to metabolic networks, is that robustness emerges as a byproduct of selection for biomass production in different environments. To test this hypothesis we performed evolutionary simulations of metabolic networks under stable and fluctuating environments. We find that networks evolved under the latter scenario can better tolerate single gene deletion in specific environments. Such robustness is underlined by an increased number of independent fluxes and multifunctional enzymes in the evolved networks. Observed robustness in networks evolved under fluctuating environments was "apparent," in the sense that it decreased significantly as we tested effects of gene deletions under all environments experienced during evolution. Furthermore, when we continued evolution of these networks under a stable environment, we found that any robustness they had acquired was completely lost. These findings provide evidence that evolution under fluctuating environments can account for the observed robustness in metabolic networks. Further, they suggest that organisms living under stable environments should display lower robustness in their metabolic networks, and that robustness should decrease upon switching to more stable environments.
在许多生物中,都观察到了对基因缺失具有较高的稳健性。然而,目前仍不清楚哪些生化特征是这种稳健性的基础,以及这些特征是如何在进化过程中获得的。有一种假设是特定于代谢网络的,即稳健性是在不同环境中选择生物量生产的副产品。为了验证这一假设,我们在稳定和波动的环境下对代谢网络进行了进化模拟。我们发现,在后者的情况下进化的网络可以在特定环境中更好地耐受单个基因缺失。在进化的网络中,增加了独立通量和多功能酶的数量,从而突出了这种稳健性。在波动环境中进化的网络所观察到的稳健性是“明显的”,因为当我们在进化过程中经历的所有环境下测试基因缺失的影响时,这种稳健性显著降低。此外,当我们在稳定环境下继续这些网络的进化时,我们发现它们获得的任何稳健性都完全丧失了。这些发现为进化在波动环境下可以解释代谢网络中观察到的稳健性提供了证据。此外,它们表明生活在稳定环境中的生物体在其代谢网络中应表现出较低的稳健性,并且在切换到更稳定的环境时,稳健性会降低。