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The effect of metabolic stress on genome stability of a synthetic biology chassis Escherichia coli K12 strain

机译:代谢应激对合成生物学底盘大肠杆菌K12菌株基因组稳定性的影响

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Synthetic organism-based biotechnologies are increasingly being proposed for environmental applications, such as in situ sensing. Typically, the novel function of these organisms is delivered by compiling genetic fragments in the genome of a chassis organism. To behave predictably, these chassis are designed with reduced genomes that minimize biological complexity. However, in these proposed applications it is expected that even when contained within a device, organisms will be exposed to fluctuating, often stressful, conditions and it is not clear whether their genomes will retain stability. Here we employed a chemostat design which enabled us to maintained two strains of E. coli K12 under sustained starvation stress: first the reduced genome synthetic biology chassis MDS42 and then, the control parent strain MG1655. We estimated mutation rates and utilised them as indicators of an increase in genome instability. We show that within 24?h the spontaneous mutation rate had increased similarly in both strains, destabilizing the genomes. High rates were maintained for the duration of the experiment. Growth rates of a cohort of randomly sampled mutants from both strains were utilized as a proxy for emerging phenotypic, and by association genetic variation. Mutant growth rates were consistently less than rates in non-mutants, an indicator of reduced fitness and the presence of mildly deleterious mutations in both the strains. In addition, the effect of these mutations on the populations as a whole varied by strain. Overall, this study shows that genome reductions in the MDS42 did not stabilize the chassis under metabolic stress. Over time, this could compromise the effectiveness of synthetic organisms built on chassis in environmental applications.
机译:越来越多地提出基于合成生物的生物技术用于环境应用,例如原位感测。通常,这些生物的新功能是通过在底盘生物的基因组中汇编遗传片段来实现的。为了实现可预测的行为,这些底架的基因组减少了,从而最大程度地降低了生物复杂性。但是,在这些建议的应用中,可以预期,即使将生物包含在设备中,它们也将处于变化多端,经常充满压力的条件下,目前尚不清楚它们的基因组是否会保持稳定性。在这里,我们采用了恒化器设计,这使我们能够在持续的饥饿压力下维持两种E. coli K12菌株:首先是基因组合成生物学降低的底盘MDS42,然后是对照亲本菌株MG1655。我们估计了突变率,并将其用作基因组不稳定性增加的指标。我们显示,在24小时内,两个菌株的自发突变率均已增加,从而使基因组不稳定。在实验过程中维持高比率。来自两个菌株的随机取样的突变体的队列的生长速率被用作新兴表型的代理,并通过关联遗传变异。突变体的生长速率始终低于非突变体的生长速率,这是适应性降低和两种菌株均存在轻度有害突变的指标。此外,这些突变对总体种群的影响因菌株而异。总体而言,这项研究表明,MDS42中的基因组减少并不能在代谢压力下稳定底盘。随着时间的流逝,这可能会损害在环境应用中基于机箱的合成生物的有效性。

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