Damerval C, Maurice A, Josse J M, de Vienne D
Station de Génétique Végétale, INRA/UPS/CNRS-URA 1492, Gif-sur-Yvette, France.
Genetics. 1994 May;137(1):289-301. doi: 10.1093/genetics/137.1.289.
A methodology to dissect the genetic architecture of quantitative variation of numerous gene products simultaneously is proposed. For each individual of a segregating progeny, proteins extracted from a given organ are separated using two-dimensional electrophoresis, and their amounts are estimated with a computer-assisted system for spot quantification. Provided a complete genetic map is available, statistical procedures allow determination of the number, effects and chromosomal locations of factors controlling the amounts of individual proteins. This approach was applied to anonymous proteins of etiolated coleoptiles of maize, in an F2 progeny between two distant lines. The genetic map included both restriction fragment length polymorphism and protein markers. Minimum estimates of one to five unlinked regulatory factors were found for 42 of the 72 proteins analyzed, with a large diversity of effects. Dominance and epistasis interactions were involved in the control of 38% and 14% of the 72 proteins, respectively. Such a methodology might help understanding the architecture of regulatory networks and the possible adaptive or phenotypic significance of the polymorphism of the genes involved.
本文提出了一种可同时剖析众多基因产物数量变异遗传结构的方法。对于分离后代的每个个体,从特定器官提取的蛋白质通过二维电泳进行分离,其含量通过计算机辅助斑点定量系统进行估算。若有完整的遗传图谱,统计程序可确定控制单个蛋白质含量的因子数量、效应及染色体位置。该方法应用于两个远缘品系间的F2代玉米黄化胚芽鞘的未知蛋白质。遗传图谱包含限制性片段长度多态性和蛋白质标记。在所分析的72种蛋白质中,有42种最少估计有1至5个不连锁的调控因子,其效应具有很大差异。72种蛋白质中分别有38%和14%的调控涉及显性和上位性相互作用。这种方法可能有助于理解调控网络的结构以及所涉及基因多态性可能的适应性或表型意义。