Lindivat Mathilde, Larsen Aud, Hess-Erga Ole Kristian, Bratbak Gunnar, Hoell Ingunn Alne
Faculty of Engineering and Science, Institute of Safety Chemistry and Biomedical Laboratory Sciences, Western Norway University of Applied Sciences, Haugesund, Norway.
NORCE Environment, NORCE Norwegian Research Centre AS, Bergen, Norway.
Front Microbiol. 2020 Aug 18;11:1929. doi: 10.3389/fmicb.2020.01929. eCollection 2020.
In this study, we have combined bioorthogonal non-canonical amino acid tagging (BONCAT) and flow cytometry (FCM) analysis, and we demonstrate the applicability of the method for marine prokaryotes. Enumeration of active marine bacteria was performed by combining the DNA stain SYBR Green with detection of protein production with BONCAT. After optimization of incubation condition and substrate concentration on monoculture of , we applied and modified the method to natural marine samples. We found that between 10 and 30% of prokaryotes in natural communities were active. The method is replicable, fast, and allow high sample throughput when using FCM. We conclude that the combination of BONCAT and FCM is an alternative to current methods for quantifying active populations in aquatic environments.
在本研究中,我们将生物正交非天然氨基酸标记(BONCAT)与流式细胞术(FCM)分析相结合,并证明了该方法对海洋原核生物的适用性。通过将DNA染料SYBR Green与利用BONCAT检测蛋白质合成相结合,对活性海洋细菌进行计数。在对单培养物的孵育条件和底物浓度进行优化后,我们将该方法应用于天然海洋样本并进行了改进。我们发现,自然群落中10%至30%的原核生物具有活性。该方法具有可重复性、快速性,并且在使用流式细胞术时允许高通量样本分析。我们得出结论,BONCAT和FCM的结合是目前用于量化水生环境中活性种群的方法的一种替代方法。