De Luca Maria, Leips Jeff
Department of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL, USA.
Methods Mol Biol. 2007;371:307-20. doi: 10.1007/978-1-59745-361-5_22.
Analyses of mutations affecting life span in model organisms have revealed a number of genes that regulate longevity in evolutionarily conserved signaling pathways. These studies suggest that genes involved in insulin-like signaling pathways, metabolism, stress response, and prevention of oxidative damage influence life span. However, we do not know whether functional polymorphisms at these candidate genes affect population variation in longevity. To identify naturally occurring molecular polymorphisms that are responsible for variation in life span, we must first map the quantitative trait gene (QTG), followed by linkage disequilibrium mapping in a large sample of alleles collected from a natural population. Genome-wide recombination mapping is a well developed approach for identifying the chromosomal regions (quantitative trait loci [QTLs]) where the QTGs affecting variation in life span between two strains map. The challenge for this approach has been to resolve the QTL to the level of individual genes. This chapter reports details of quantitative complementation tests and linkage disequilibrium mapping to identify positional genes and causative genetic polymorphisms determining variation in Drosophila longevity.
对模式生物中影响寿命的突变进行分析,揭示了许多在进化保守信号通路中调节寿命的基因。这些研究表明,参与胰岛素样信号通路、新陈代谢、应激反应和预防氧化损伤的基因会影响寿命。然而,我们尚不清楚这些候选基因的功能多态性是否会影响人群寿命的差异。为了鉴定导致寿命差异的自然发生的分子多态性,我们必须首先定位数量性状基因(QTG),然后在从自然群体中收集的大量等位基因样本中进行连锁不平衡定位。全基因组重组定位是一种成熟的方法,用于鉴定影响两个品系间寿命差异的QTG所在的染色体区域(数量性状位点 [QTL])。该方法面临的挑战是将QTL解析到单个基因水平。本章报告了定量互补试验和连锁不平衡定位的详细信息,以鉴定决定果蝇寿命差异的位置基因和致病遗传多态性。