Mouli Pradeep K, Twig Gilad, Shirihai Orian S
Evans Biomedical Research Center, Boston University, Boston, Massachusetts, USA.
Biophys J. 2009 May 6;96(9):3509-18. doi: 10.1016/j.bpj.2008.12.3959.
Turnover of mitochondria by autophagy constitutes an essential quality maintenance mechanism. Recent studies have demonstrated that efficient clearance of damaged mitochondrial components depends on mitochondrial dynamics, a process characterized by frequent fusion and fission events that enable the redistribution of mitochondrial components across a population of hundreds of individual mitochondria. The presented simulation identifies kinetic parameters of fusion and fission that may influence the maintenance of mitochondrial function. The program simulated repetitive cycles of fusion and fission events in which intact and damaged mitochondrial contents were redistributed between fusion mates. Redistribution impacted mitochondrial function, thereby influencing the fate of each mitochondrion, to be either destined for a subsequent fusion or eliminated by autophagy. Our findings indicate that, when paired with fission, fusion events may serve to accelerate the removal of damaged mitochondrial components by autophagy. The model predicts the existence of an optimal frequency of fusion and fission events that can maintain respiratory function at steady-state levels amid the existence of a continuous damaging process that inactivates mitochondrial components. A further elevation of the fusion frequency can increase the clearance efficiency of damaged content. However, this requires fusion to be a selective process in which depolarized mitochondria are excluded from the fusing population. The selectivity of fusion was found to be particularly beneficial in conditions of elevated rate of damage, because it permits the increase of fusion frequency without compromising the removal of damaged content by autophagy.
通过自噬进行线粒体周转是一种重要的质量维持机制。最近的研究表明,有效清除受损的线粒体成分取决于线粒体动力学,这一过程的特点是频繁发生融合和裂变事件,使得线粒体成分能够在数百个单个线粒体群体中重新分布。所呈现的模拟确定了可能影响线粒体功能维持的融合和裂变动力学参数。该程序模拟了融合和裂变事件的重复循环,其中完整和受损的线粒体内容物在融合伙伴之间重新分布。重新分布影响线粒体功能,从而影响每个线粒体的命运,即要么注定进行后续融合,要么被自噬清除。我们的研究结果表明,与裂变配对时,融合事件可能有助于加速自噬对受损线粒体成分的清除。该模型预测,在存在使线粒体成分失活的持续损伤过程的情况下,存在一个能够将呼吸功能维持在稳态水平的融合和裂变事件的最佳频率。融合频率的进一步提高可以增加受损内容物的清除效率。然而,这要求融合是一个选择性过程,其中去极化的线粒体被排除在融合群体之外。发现融合的选择性在损伤速率升高的情况下特别有益,因为它允许增加融合频率而不影响自噬对受损内容物的清除。