Keurentjes Joost J B, Koornneef Maarten, Vreugdenhil Dick
Laboratory of Genetics, Wageningen University, Arboretumlaan 4, NL-6703 BD Wageningen, The Netherlands.
Curr Opin Plant Biol. 2008 Apr;11(2):123-8. doi: 10.1016/j.pbi.2008.01.006. Epub 2008 Mar 6.
The use of natural variation in the genetic dissection of quantitative traits has a long-standing tradition. Recent advances in high-throughput technologies for the quantification of biological molecules have shifted the focus in quantitative genetics from single traits to comprehensive large-scale analyses. So-called omic technologies now enable geneticists to take a look in the black box that translates genetic information into biological function. These processes include transcriptional and (post) translational regulation as well as metabolic signaling pathways. The progress made in analytical and statistical techniques now allows the construction of regulatory networks that integrate the different levels of the biological information flow from gene-to-function.
利用自然变异对数量性状进行遗传剖析有着悠久的传统。用于生物分子定量的高通量技术的最新进展已将数量遗传学的重点从单一性状转移到全面的大规模分析。所谓的组学技术现在使遗传学家能够窥探将遗传信息转化为生物学功能的“黑匣子”。这些过程包括转录和（后）翻译调控以及代谢信号通路。分析和统计技术取得的进展现在允许构建整合从基因到功能的生物信息流不同层次的调控网络。
