
pmid: 31653446
Biological engineering has unprecedented potential to solve society's most pressing challenges. Engineering approaches must consider complex technical, economic, and social factors. This requires methods that confer gene/pathway-level functionality and organism-level robustness in rapid and cost-effective ways. This article compares foundational engineering approaches - bottom-up, gene-targeted engineering, and top-down, whole-genome engineering - and identifies significant complementarity between them. Cases drawn from engineering Saccharomyces cerevisiae exemplify the synergy of a combined approach. Indeed, multimodal engineering streamlines strain development by leveraging the complementarity of whole-genome and gene-targeted engineering to overcome the gap in design knowledge that restricts rational design. As biological engineers target more complex systems, this dual-track approach is poised to become an increasingly important tool to realize the promise of synthetic biology.
ta1182, ta220, rational design, Saccharomyces cerevisiae, biological engineering, ta3111, Genome, Microbial, Industrial Microbiology, ta219, ta318, Synthetic Biology, synthetic biology, Microorganisms, Genetically-Modified, ta216, Genetic Engineering, microbial cell factory, bioeconomy, biotechnology
ta1182, ta220, rational design, Saccharomyces cerevisiae, biological engineering, ta3111, Genome, Microbial, Industrial Microbiology, ta219, ta318, Synthetic Biology, synthetic biology, Microorganisms, Genetically-Modified, ta216, Genetic Engineering, microbial cell factory, bioeconomy, biotechnology
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 14 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
