Weill Institute for Cell and Molecular Biology and School of Integrative Plant Science, Section of Plant Biology, Cornell University, 239 Weill Hall, 526 Campus Road, Ithaca, NY 14853, USA.
Curr Opin Plant Biol. 2018 Feb;41:8-15. doi: 10.1016/j.pbi.2017.07.010. Epub 2017 Aug 30.
A process that is stochastic has a probabilistic or randomly determined outcome. At the molecular level, all processes are stochastic; but development is highly reproducible, suggesting that plants and other multicellular organisms have evolved mechanisms to ensure robustness (achieving correct development despite stochastic and environmental perturbations). Mechanisms of robustness can be discovered through isolating mutants with increased variability in phenotype; such mutations do not necessarily change the average phenotype. Surprisingly, some developmental robustness mechanisms actually exploit stochasticity as a useful source of variation. For example, gene expression is stochastic and can be utilized to create subtle differences between identical cells that can initiate the patterning of specialized cell types. Stochasticity can also be used to promote robustness through spatiotemporal averaging-stochasticity can be averaged out across space and over time. Thus, organisms often harness stochasticity to ensure robust development.
一个具有随机性的过程具有概率或随机确定的结果。在分子水平上,所有的过程都是随机的;但发育具有高度的可重复性,这表明植物和其他多细胞生物已经进化出了确保稳健性的机制(尽管存在随机和环境干扰,但仍能实现正确的发育)。稳健性机制可以通过分离表型变异性增加的突变体来发现;这种突变不一定会改变平均表型。令人惊讶的是,一些发育稳健性机制实际上利用随机性作为一种有用的变异来源。例如,基因表达是随机的,可以用来在相同的细胞之间产生细微的差异,从而启动特化细胞类型的模式形成。随机性也可以通过时空平均化来提高稳健性——随机性可以在空间和时间上平均化。因此,生物体通常利用随机性来确保稳健的发育。