Mackay Trudy F C
Department of Genetics and The Keck Center for Behavioral Biology, North Carolina State University, Campus Box 7614, Raleigh, NC 27695, USA.
Genetica. 2009 Jun;136(2):295-302. doi: 10.1007/s10709-008-9310-6. Epub 2008 Aug 29.
Complex behaviors are affected by multiple interacting loci with individually small and environmentally sensitive effects. Understanding the genetic architecture of behavioral traits begins with identifying the genes regulating these traits, mapping the subset of genetically varying quantitative trait loci (QTLs) in natural populations, and pinpointing the molecular polymorphisms defining QTL alleles. Drosophila brings an impressive toolkit to the challenge of genetically dissecting complex traits: P transposable element mutagenesis to identify genes regulating these traits; artificial selection from natural populations to create extreme trait phenotypes; high resolution mapping to identify positional candidate genes corresponding to QTLs; linkage disequilibrium mapping to identify molecular polymorphism(s) that functionally define QTL alleles; and whole genome transcriptional profiling to postulate networks of interacting genes affecting complex traits. Studies in Drosophila have revealed large numbers of pleiotropic genes that interact epistatically to regulate behavioral traits, and that can have sex- and environment-specific effects. These observations offer valuable lessons for understanding the genetic basis of variation for complex behaviors in other organisms, including humans.
复杂行为受到多个相互作用基因座的影响,这些基因座各自的效应较小且对环境敏感。理解行为性状的遗传结构始于识别调控这些性状的基因,绘制自然种群中遗传变异的数量性状基因座(QTL)子集图谱,并确定定义QTL等位基因的分子多态性。果蝇为遗传剖析复杂性状带来了令人印象深刻的工具集:利用P转座因子诱变来识别调控这些性状的基因;从自然种群中进行人工选择以创造极端性状表型;通过高分辨率图谱绘制来识别与QTL相对应的位置候选基因;利用连锁不平衡图谱绘制来识别在功能上定义QTL等位基因的分子多态性;以及通过全基因组转录谱分析来推测影响复杂性状的相互作用基因网络。对果蝇的研究揭示了大量多效性基因,这些基因通过上位性相互作用来调控行为性状,并且可能具有性别和环境特异性效应。这些观察结果为理解包括人类在内的其他生物体复杂行为变异的遗传基础提供了宝贵的经验教训。