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通过在线监测法夫酵母的氧传递速率对工程化植酸酶进行初级高通量筛选。

Primary high-throughput screening of engineered phytases by online monitoring of the oxygen transfer rate of Komagataella phaffii.

作者信息

Straaten Sarah Luise, Zöllner Marie, Forsten Eva, Wahjudi Sekar Mayang W, Ruff Anna Joëlle, Stotz Johanna, Schwaneberg Ulrich, Magnus Jørgen Barsett, Büchs Jochen

机构信息

Chair of Biochemical Engineering (AVT.BioVT), RWTH Aachen University, 52074, Aachen, Germany.

Chair of Biotechnology, RWTH Aachen University, 52074, Aachen, Germany.

出版信息

Microb Cell Fact. 2025 Aug 7;24(1):180. doi: 10.1186/s12934-025-02806-w.

Abstract

BACKGROUND

Recombinant phytase production has recently gained increased recognition in phosphate recycling from phytate contained in plant-based side and waste streams. Until now, new phytase variants are evaluated at the end of the expression by standard offline screening procedures, where promising candidates with high activities and protein titers are identified. However, for large mutant libraries, this implies extensive laboratory work for a first screening of hundreds of clones. In this study, for the first time, two synergistic concepts for the primary screening of phytases were investigated.

RESULTS

The aim was to predict high recombinant protein producer strains as well as high volumetric activity phytase variants, based on the development of the respiratory activity over time of the host cell, in this case, Komagataella phaffii (Pichia pastoris). In a first step, the metabolic burden was investigated by cultivating a clone library in YPD medium in a µTOM device. It was found that strains expressing medium or high protein concentrations show clear characteristics of an elevated level of metabolic burden during constitutive expression. However, a high protein concentration does not imply a high enzymatic activity. Therefore, in a second approach, the screening was adapted to screen for phytase variants with high volumetric activity. To do so, a modified Syn6 MES medium was developed, where phytic acid was used as the only phosphate source. Thereby, only clones secreting active phytase and generating free phosphate were able to grow, which was monitored via the oxygen transfer rate. A correlation between the offline measured volumetric phytase activity and µ was found. The clones were then ranked according to their online and offline performance and the results matched in 83% of the cases.

CONCLUSION

Online monitoring of the oxygen transfer rates in 96-well plates allowed for the evaluation of the total protein concentration and the volumetric phytase activity already during the expression. Using these results, also the specific activity can be calculated. In the future, primary screening experiments of large enzyme mutant libraries can be conducted without offline activity assays, to identify promising candidates.

摘要

背景

重组植酸酶的生产最近在从植物性副产品和废物流中的植酸盐回收磷方面得到了越来越多的认可。到目前为止,新的植酸酶变体是通过标准的离线筛选程序在表达结束时进行评估的,在该程序中可以识别出具有高活性和蛋白滴度的有前景的候选物。然而,对于大型突变体文库,这意味着要对数百个克隆进行首次筛选需要大量的实验室工作。在本研究中,首次研究了两种用于植酸酶初步筛选的协同概念。

结果

目的是基于宿主细胞(在本案例中为毕赤酵母)呼吸活性随时间的变化,预测高重组蛋白生产菌株以及高体积活性的植酸酶变体。第一步,通过在μTOM设备中于YPD培养基中培养克隆文库来研究代谢负担。发现表达中等或高蛋白浓度的菌株在组成型表达期间表现出代谢负担水平升高的明显特征。然而,高蛋白浓度并不意味着高酶活性。因此,在第二种方法中,筛选方法进行了调整以筛选具有高体积活性的植酸酶变体。为此,开发了一种改良的Syn6 MES培养基,其中植酸用作唯一的磷源。由此,只有分泌活性植酸酶并产生游离磷酸盐的克隆才能生长,这通过氧气传递速率进行监测。发现离线测量的植酸酶体积活性与μ之间存在相关性。然后根据克隆的在线和离线性能进行排名,结果在83%的情况下相匹配。

结论

在96孔板中对氧气传递速率进行在线监测,可以在表达过程中评估总蛋白浓度和植酸酶体积活性。利用这些结果,还可以计算比活性。未来,可以在不进行离线活性测定的情况下对大型酶突变体文库进行初步筛选实验,以识别有前景的候选物。

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