Leibniz Institute of Plant Biochemistry, Independent Junior Research Group, Department of Molecular Signal Processing, Weinberg 3, 06120 Halle (Saale), Germany.
Trends Plant Sci. 2011 Sep;16(9):481-8. doi: 10.1016/j.tplants.2011.05.009. Epub 2011 Jun 21.
Natural accessions of many species harbor a wealth of genetic variation visible in a large array of phenotypes. Although expression level polymorphisms (ELPs) in several genes have been shown to contribute to variation in diverse traits, their general impact on adaptive variation has likely been underestimated. At present, ELPs have predominantly been correlated to quantitative trait loci (eQTLs) that occupy central hubs in signaling networks, which pleiotropically affect numerous traits. To increase the sensitivity of detecting minor effect eQTLs or those that act in a trait-specific manner, we emphasize the need for more systematic approaches. This requires, but is not limited to, refining experimental designs such as reduction of tissue complexity and combinatorial methods including a priori defined networks.
许多物种的天然群体蕴藏着丰富的遗传变异，这些变异在大量表型中可见。尽管已经证明几个基因中的表达水平多态性（ELPs）对多种性状的变异有贡献，但它们对适应性变异的总体影响可能被低估了。目前，ELPs 主要与占据信号网络中心枢纽的数量性状基因座（eQTLs）相关联，这些 eQTLs 会对许多性状产生多效性影响。为了提高检测小效应 eQTL 或特定性状作用的 eQTL 的灵敏度，我们强调需要更系统的方法。这需要，但不限于，改进实验设计，例如减少组织复杂性，以及包括先验定义网络的组合方法。
