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A model to predict the frequency of integration of fitness-related QTLs from cultivated to wild soybean.

机译:一个模型,预测从种植到野生大豆的健身相关QTL整合的频率。

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With the proliferation of genetically modified (GM) products and the almost exponential growth of land use for GM crops, there is a growing need to develop quantitative approaches to estimating the risk of escape of transgenes into wild populations of crop relatives by natural hybridization. We assessed the risk of transgene escape by constructing a population genetic model based on information on fitness-related QTLs obtained from an F2 population of wild soybean G. soja x cultivated soybean Glycine max. Simulation started with ten F1 and 990 wild soybeans reproducing by selfing or outcrossing. Seed production was determined from the genetic effects of two QTLs for number of seeds (SN). Each seed survived winter according to the maternal genotype at three QTLs for winter survival (WS). We assumed that one neutral transgene was inserted at various sites and calculated its extinction rate. The presence of G. max alleles at SN and WS QTLs significantly decreased the probability of introgression of the neutral transgene at all insertion sites equally. The presence of G. max alleles at WS QTLs lowered the risk more than their presence at SN QTLs. Although most model studies have concentrated only on genotypic effects of transgenes, we show that the presence of fitness-related domestication genes has a large effect on the risk of transgene escape. Our model offers the advantage of considering the effects of both domestication genes and a transgene, and they can be widely applied to other wild x crop relative complexes.
机译:随着转基因产品的激增以及转基因作物土地利用的近乎指数级增长,越来越需要开发定量方法来估算通过自然杂交转基因逃逸到作物近缘种野生种群中的风险。我们通过基于从野生大豆 F的 F 2 种群获得的适应性相关QTL信息构建种群遗传模型,评估了转基因逃逸的风险。 soja x栽培大豆 Glycine max 。模拟从十个 F 1 和990个通过自交或异源杂交繁殖的野生大豆开始。根据两个QTL的种子数量(SN)的遗传效应确定种子产量。根据母体基因型,每个种子在三个冬季生存期(WS)的QTL下均在冬季生存。我们假设一个中性转基因插入了多个位点,并计算了其灭绝率。 G的存在。 SN和WS QTL的max等位基因均等地降低了中性转基因在所有插入位点渗入的可能性。 G的存在。与SN QTL相比,WS QTL的max 等位基因降低的风险更大。尽管大多数模型研究仅集中于转基因的基因型效应,但我们表明,与健身相关的驯化基因的存在对转基因逃逸的风险影响很大。我们的模型的优点是可以同时考虑驯化基因和转基因的影响,并且可以广泛应用于其他野生x作物相对复合体。

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