Microfluidic screening and whole-genome sequencing identifies mutations associated with improved protein secretion by yeast
There is an increasing demand for biotech-based production of recombinant proteins for use as pharmaceuticals in the food and feed industry and in industrial applications. YeastSaccharomyces cerevisiaeis among preferred cell factories for recombinant protein production, and there is increasing inter...
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Published in: | Proceedings of the National Academy of Sciences - PNAS Vol. 112; no. 34; pp. E4689 - E4696 |
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Main Authors: | , , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
United States
National Academy of Sciences
25-08-2015
National Acad Sciences |
Series: | PNAS Plus |
Subjects: | |
Online Access: | Get full text |
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Summary: | There is an increasing demand for biotech-based production of recombinant proteins for use as pharmaceuticals in the food and feed industry and in industrial applications. YeastSaccharomyces cerevisiaeis among preferred cell factories for recombinant protein production, and there is increasing interest in improving its protein secretion capacity. Due to the complexity of the secretory machinery in eukaryotic cells, it is difficult to apply rational engineering for construction of improved strains. Here we used high-throughput microfluidics for the screening of yeast libraries, generated by UV mutagenesis. Several screening and sorting rounds resulted in the selection of eight yeast clones with significantly improved secretion of recombinant α-amylase. Efficient secretion was genetically stable in the selected clones. We performed whole-genome sequencing of the eight clones and identified 330 mutations in total. Gene ontology analysis of mutated genes revealed many biological processes, including some that have not been identified before in the context of protein secretion. Mutated genes identified in this study can be potentially used for reverse metabolic engineering, with the objective to construct efficient cell factories for protein secretion. The combined use of microfluidics screening and whole-genome sequencing to map the mutations associated with the improved phenotype can easily be adapted for other products and cell types to identify novel engineering targets, and this approach could broadly facilitate design of novel cell factories. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Author contributions: M.H., Y.B., S.L.S., B.M.H., Z.L., D.P., M.U., H.N.J., H.A.-S., and J.N. designed research; M.H., Y.B., S.L.S., B.M.H., Z.L., and H.N.J. performed research; M.H., Y.B., S.L.S., B.M.H., Z.L., D.P., H.N.J., and J.N. analyzed data; M.U., H.A.-S., and J.N. supervised the research; and M.H., Y.B., D.P., H.N.J., and J.N. wrote the paper. 1M.H. and Y.B. contributed equally to this work. 2Present address: State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China. Edited by Arnold L. Demain, Drew University, Madison, NJ, and approved July 20, 2015 (received for review April 1, 2015) 3Present address: Metabolic Engineering Research Laboratory, Institute of Chemical and Engineering Sciences, Agency for Science, Technology and Research, 138669 Singapore. |
ISSN: | 0027-8424 1091-6490 1091-6490 |
DOI: | 10.1073/pnas.1506460112 |