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Establishing a high throughput method for medium optimization – a case study using Streptomyces lividans as host for production of heterologous protein

机译:建立高通量的培养基优化方法 - 使用浅青紫链霉菌(streptomyces lividans)作为宿主产生异源蛋白质的案例研究

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摘要

Actinomycetes are widely known for production of antibiotics, though as hosts for heterologous protein expression they show great potential which should be further developed. Streptomyces lividans is especially interesting due to very low endogenous protease activity and the capability to secrete proteins to the medium. As saprophyte it also has the ability to use a very diverse range of substrates including cellulose. Furthermore, a growing array of genetic tools has been developed, while sequencing and annotation is still to follow in the near future as various initiatives are in progress.Medium composition can have great effect on the cellular performance, in particular on heterologous protein production. It is a parameter that can be adjusted regardless of GMO concerns or knowledge of genomic sequence. Optimizing medium composition can be labor intensive opening up for introducing automation. In this study a potential high throughput method was tested for optimizing medium composition, with respect to nitrogen, to improve heterologous protein production in S. lividans, using mRFP as a model protein. A large number of nitrogen sources were tested in an initial, highly automated, screen. Subsequently the most promising candidates were tested in milliliter scale, followed by final verification in lab-scale fermentation. The method has the great advantage that the initial steps have a high degree of automation, which allows to retain a relatively high number of candidates. A further benefit of this approach is that substantial physiological knowledge is gained from the unsequenced model producer.
机译:放线菌广泛用于生产抗生素,尽管作为异源蛋白表达的宿主,它们显示出巨大的潜力,应进一步开发。由于非常低的内源蛋白酶活性和将蛋白质分泌到培养基中的能力,青紫链霉菌特别令人关注。作为腐生植物,它还具有使用包括纤维素在内的多种底物的能力。此外,已经开发出了越来越多的遗传工具,但随着各种举措的进行,测序和注释仍将在不久的将来继续进行。中等组成可能对细胞性能,特别是对异源蛋白质的产生具有重大影响。它是一个参数,可以不受GMO的关注或对基因组序列的了解而进行调整。优化培养基的组成可能是劳动密集型的开放自动化过程。在这项研究中,使用mRFP作为模型蛋白,测试了一种潜在的高通量方法,用于优化培养基组成(相对于氮),以提高紫葡萄链球菌的异源蛋白产量。在最初的高度自动化的筛选中测试了大量氮源。随后,最有前途的候选者以毫升为单位进行测试,然后在实验室规模的发酵中进行最终验证。该方法具有很大的优点,即初始步骤具有高度的自动化程度,这允许保留相对大量的候选者。这种方法的另一个好处是可以从未排序的模型生产者那里获得大量的生理知识。

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