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Towards Engineering Biological Systems in a Broader Context

机译:在更广阔的背景下迈向工程生物系统

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Significant advances have been made in synthetic biology to program information processing capabilities in cells. While these designs can function predictably in controlled laboratory environments, the reliability of these devices in complex, temporally changing environments has not yet been characterized. As human society faces global challenges in agriculture, human health and energy, synthetic biology should develop predictive design principles for biological systems operating in complex environments. Natural biological systems have evolved mechanisms to overcome innumerable and diverse environmental challenges. Evolutionary design rules should be extracted and adapted to engineer stable and predictable ecological function. We highlight examples of natural biological responses spanning the cellular, population and microbial community levels that show promise in synthetic biology contexts. We argue that synthetic circuits embedded in host organisms or designed ecologies informed by suitable measurement of biotic and abiotic environmental parameters could be used as engineering substrates to achieve target functions in complex environments. Successful implementation of these methods will broaden the context in which synthetic biological systems can be applied to solve important problems. (C) 2015 Elsevier Ltd. All rights reserved.
机译:合成生物学在编程细胞中的信息处理能力方面取得了重大进展。尽管这些设计可以在受控的实验室环境中发挥可预测的功能,但尚未表征这些设备在复杂的,随时间变化的环境中的可靠性。随着人类社会在农业,人类健康和能源方面面临全球挑战,合成生物学应为在复杂环境中运行的生物系统制定预测性设计原则。天然生物系统已发展出克服无数种多样的环境挑战的机制。应该提取进化设计规则,并对其进行修改以设计稳定和可预测的生态功能。我们重点介绍了跨细胞,种群和微生物群落水平的自然生物学反应实例,这些实例显示了合成生物学背景下的前景。我们认为,嵌入在宿主生物中的合成电路或通过适当测量生物和非生物环境参数而获知的设计生态学可以用作工程底物,以在复杂环境中实现目标功能。这些方法的成功实施将拓宽可将合成生物系统用于解决重要问题的背景。 (C)2015 Elsevier Ltd.保留所有权利。

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