组学技术在系统水平上对细胞代谢进行全面的分析,极大地促进了代谢工程的发展和应用。全基因组水平的转录分析可以使研究者更加精确地评估细胞表型,加深对细胞代谢的理解。而且转录组分析也有助于研究者鉴定菌种改良的目标基因,加速对微生物细胞工厂的合理设计及构建。文中介绍了3种主要转录组平台技术的原理,并总结了转录组学在代谢工程领域中应用的最新进展和未来发展趋势。
Omics technologies have profoundly promoted development and applications of metabolic engineering by analysis of cell metabolism at a system level. Whole genome transcription profiles have provided researchers more rigorous evaluation of cell phenotype and an increased understanding of cellular metabolism. Furthermore,transcriptome analysis can conduce to identification of effective gene targets for strain improvement,and consequently accelerates rational design and construction of microbial cell factories for desired product. In this review,we briefly introduced the principle of three main platforms of transcriptome,and reviewed the recent applications of the transcriptome to metabolic engineering,finally provided conclusions and future prospects.