Noonan Avery J C, Qiu Yilin, Ho Joe C H, Ocampo Jewel, Vreugdenhil K A, Marr R Alexander, Zhao Zhiying, Yoshikuni Yasuo, Hallam Steven J
Genome Science and Technology Program, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Department of Microbiology & Immunology, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.
Synth Biol (Oxf). 2020 Sep 3;5(1):ysaa015. doi: 10.1093/synbio/ysaa015. eCollection 2020.
Monitoring population dynamics in co-culture is necessary in engineering microbial consortia involved in distributed metabolic processes or biosensing applications. However, it remains difficult to measure strain-specific growth dynamics in high-throughput formats. This is especially vexing in plate-based functional screens leveraging whole-cell biosensors to detect specific metabolic signals. Here, we develop an experimental high-throughput co-culture system to measure and model the relationship between fluorescence and cell abundance, combining chassis-independent recombinase-assisted genome engineering (CRAGE) and whole-cell biosensing with a P-green fluorescent protein (GFP) monoaromatic reporter used in plate-based functional screening. CRAGE was used to construct EPI300 strains constitutively expressing red fluorescent protein (RFP) and the relationship between RFP expression and optical density (OD) was determined throughout the EPI300 growth cycle. A linear equation describing the increase of normalized RFP fluorescence during deceleration phase was derived and used to predict biosensor strain dynamics in co-culture. Measured and predicted values were compared using flow cytometric detection methods. Induction of the biosensor lead to increased GFP fluorescence normalized to biosensor cell abundance, as expected, but a significant decrease in relative abundance of the biosensor strain in co-culture and a decrease in bulk GFP fluorescence. Taken together, these results highlight sensitivity of population dynamics to variations in metabolic activity in co-culture and the potential effect of these dynamics on the performance of functional screens in plate-based formats. The engineered strains and model used to evaluate these dynamics provide a framework for optimizing growth of synthetic co-cultures used in screening, testing and pathway engineering applications.
在涉及分布式代谢过程或生物传感应用的工程化微生物群落中,监测共培养体系中的种群动态是必要的。然而,以高通量形式测量菌株特异性生长动态仍然具有挑战性。这在利用全细胞生物传感器检测特定代谢信号的基于平板的功能筛选中尤其棘手。在这里,我们开发了一种实验性高通量共培养系统,用于测量和建模荧光与细胞丰度之间的关系,该系统将独立于底盘的重组酶辅助基因组工程(CRAGE)和全细胞生物传感与基于平板功能筛选中使用的P-绿色荧光蛋白(GFP)单芳烃报告基因相结合。CRAGE用于构建组成型表达红色荧光蛋白(RFP)的EPI300菌株,并在整个EPI300生长周期中确定RFP表达与光密度(OD)之间的关系。推导了一个描述减速期归一化RFP荧光增加的线性方程,并用于预测共培养中生物传感器菌株的动态。使用流式细胞术检测方法比较测量值和预测值。正如预期的那样,生物传感器的诱导导致归一化至生物传感器细胞丰度的GFP荧光增加,但共培养中生物传感器菌株的相对丰度显著降低,且总体GFP荧光降低。综上所述,这些结果突出了种群动态对共培养中代谢活性变化的敏感性,以及这些动态对基于平板形式的功能筛选性能的潜在影响。用于评估这些动态的工程菌株和模型为优化用于筛选、测试和途径工程应用的合成共培养物的生长提供了一个框架。