scholarly journals Development of an In Vitro Compartmentalization Screen for High-Throughput Directed Evolution of [FeFe] Hydrogenases

PLoS ONE ◽  
2010 ◽  
Vol 5 (12) ◽  
pp. e15275 ◽  
Author(s):  
James A. Stapleton ◽  
James R. Swartz
2011 ◽  
Vol 16 (3) ◽  
pp. 285-294 ◽  
Author(s):  
Ran Tu ◽  
Ronny Martinez ◽  
Radivoje Prodanovic ◽  
Mathias Klein ◽  
Ulrich Schwaneberg

Proteases are industrially important enzymes but often have to be improved for their catalytic efficiency and stabilities to suit applications. Flow cytometry screening technology based on in vitro compartmentalization in double emulsion had been developed and applied on directed evolution of paraoxonase and β-galactosidase. Further advancements of flow cytometry–based screening technologies will enable an ultra-high throughput of variants offering novel opportunities in directed enzyme evolution under high mutational loads. For the industrially important enzyme class of proteases, a first flow cytometry–based screening system for directed protease evolution has been developed based on an extracellular protease-deficient Bacillus subtilis strain (WB800N), a model protease (subtilisin Carlsberg), and a water-in-oil-in-water double-emulsion technology. B. subtilis WB800N cells are encapsulated in double emulsion with a fluorogenic substrate (rhodamine 110–containing peptide), allowing the screening of protease variants in femtoliter compartments at high throughput. The protease screening technology was validated by employing an epPCR mutant library with a high mutational load and screened for increased resistance toward the inhibitor antipain dihydrochloride. A variant (K127R, T237P, M239I, I269V, Y310F, I372V) with an improved relative resistance was isolated from a small population of active variants, validating the reported protease flow cytometry screening technology for increased inhibitor resistance.


2006 ◽  
Vol 3 (7) ◽  
pp. 561-570 ◽  
Author(s):  
Oliver J Miller ◽  
Kalia Bernath ◽  
Jeremy J Agresti ◽  
Gil Amitai ◽  
Bernard T Kelly ◽  
...  

Life ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 17
Author(s):  
Adèle Dramé-Maigné ◽  
Anton S. Zadorin ◽  
Iaroslava Golovkova ◽  
Yannick Rondelez

High-throughput, in vitro approaches for the evolution of enzymes rely on a random micro-encapsulation to link phenotypes to genotypes, followed by screening or selection steps. In order to optimise these approaches, or compare one to another, one needs a measure of their performance at extracting the best variants of a library. Here, we introduce a new metric, the Selection Quality Index (SQI), which can be computed from a simple mock experiment, performed with a known initial fraction of active variants. In contrast to previous approaches, our index integrates the effect of random co-encapsulation, and comes with a straightforward experimental interpretation. We further show how this new metric can be used to extract general protocol efficiency trends or reveal hidden selection mechanisms such as a counterintuitive form of beneficial poisoning in the compartmentalized self-replication protocol.


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