Bioengineering Department, University of California, San Diego, La Jolla, CA, USA.
Bioengineering Department, University of California, San Diego, La Jolla, CA, USA; Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA, USA.
Curr Opin Microbiol. 2018 Oct;45:8-15. doi: 10.1016/j.mib.2018.01.002. Epub 2018 Jan 24.
As microbes face changing environments, they dynamically allocate macromolecular resources to produce a particular phenotypic state. Broad 'omics' data sets have revealed several interesting phenomena regarding how the proteome is allocated under differing conditions, but the functional consequences of these states and how they are achieved remain open questions. Various types of multi-scale mathematical models have been used to elucidate the genetic basis for systems-level adaptations. In this review, we outline several different strategies by which microbes accomplish resource allocation and detail how mathematical models have aided in our understanding of these processes. Ultimately, such modeling efforts have helped elucidate the principles of proteome allocation and hold promise for further discovery.
当微生物面临不断变化的环境时，它们会动态分配大分子资源以产生特定的表型状态。广泛的“组学”数据集揭示了一些关于在不同条件下如何分配蛋白质组的有趣现象，但这些状态的功能后果以及它们是如何实现的仍然是悬而未决的问题。各种类型的多尺度数学模型已被用于阐明系统水平适应的遗传基础。在这篇综述中，我们概述了微生物完成资源分配的几种不同策略，并详细介绍了数学模型如何帮助我们理解这些过程。最终，这些建模工作有助于阐明蛋白质组分配的原则，并为进一步的发现提供了希望。
