Exploiting nongenetic cell-to-cell variation for enhanced biosynthesis

被引:0
作者
Xiao, Yi [1 ]
Bowen, Christopher H. [1 ]
Liu, Di [1 ]
Zhang, Fuzhong [1 ,2 ,3 ]
机构
[1] Washington Univ, Dept Energy Environm & Chem Engn, St Louis, MO USA
[2] Washington Univ, Div Biol & Biomed Sci, St Louis, MO USA
[3] Washington Univ, Inst Mat Sci & Engn, St Louis, MO USA
基金
美国国家科学基金会;
关键词
ESCHERICHIA-COLI; SYNTHETIC BIOLOGY; FATTY-ACIDS; POPULATION HETEROGENEITY; METABOLIC VARIABILITY; SINGLE CELLS; AMINO-ACIDS; E; COLI; EVOLUTION; PATHWAYS;
D O I
10.1038/NCHEMBIO.2046
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Biosynthesis enables renewable production of manifold compounds, yet often biosynthetic performance must be improved for it to be economically feasible. Nongenetic, cell-to-cell variations in protein and metabolite concentrations are naturally inherent, suggesting the existence of both high- and low-performance variants in all cultures. Although having an intrinsic source of low performers might cause suboptimal ensemble biosynthesis, the existence of high performers suggests an avenue for performance enhancement. Here we develop in vivo population quality control (PopQC) to continuously select for high- performing, nongenetic variants. We apply PopQC to two biosynthetic pathways using two alternative design principles and demonstrate threefold enhanced production of both free fatty acid (FFA) and tyrosine. We confirm that PopQC improves ensemble biosynthesis by selecting for nongenetic high performers. Additionally, we use PopQC in fed-batch FFA production and achieve 21.5 g I-1 titer and 0.5 g I-1 h(-1) productivity. Given the ubiquity of nongenetic variation, PopQC should be applicable to a variety of metabolic pathways for enhanced biosynthesis.
引用
收藏
页码:339 / +
页数:8
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