Department of Chemical and Biological Engineering, University of Colorado, Campus Box 424, Boulder, CO 80309, USA.
Curr Opin Biotechnol. 2011 Aug;22(4):576-83. doi: 10.1016/j.copbio.2011.04.019. Epub 2011 May 16.
Efficiently engineering robust complex traits is a key challenge facing metabolic engineering efforts to synthesize valuable products in vivo. Recent advances in genome engineering confront this barrier and significantly enhance the ability to map functional changes targeted throughout the genome and combinatorially optimize complex (multigenic) traits using multiplex recombineering. We describe a framework for efficiently searching genome-wide combinatorial space to optimize complex traits and highlight recent advances in genome engineering that enable this approach.
高效工程化稳健的复杂性状是代谢工程在体内合成有价值产物所面临的关键挑战。基因组工程的最新进展克服了这一障碍，极大地提高了在全基因组范围内靶向功能变化进行映射和组合优化复杂（多基因）性状的能力，这一能力是通过多重重组酶来实现的。我们描述了一种在全基因组组合空间中进行高效搜索以优化复杂性状的框架，并强调了实现这一方法的基因组工程的最新进展。
