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作 者:吴吉祥[1,2] 朱军[1] Johnie N.Jenkins Jack C.McCarty
机构地区:[1]浙江大学农业与生物技术学院 [2]美国密西西比州立大学植物土壤系,密西西比39762 [3]美国农部作物研究室
出 处:《Acta Genetica Sinica》2005年第6期608-615,共8页
基 金:国家863项目(编号:2002AA234031~~
摘 要:根据非交叉(achiasmatic)遗传模型,提出采用最大似然法计算遗传交换率的方法,同时开发了构建非交叉生物(F2群体)连锁图谱的计算机软件。通过卡方验检可测性连锁分子标记。对于无交叉生物现象,采用蒙特卡洛模拟技术,对交叉(chiasmatic)和非交叉两个遗传模型遗传交换率的估计值和作图效率进行了比较。模拟结果表明,非交叉模型能提供无偏的估计值,而交叉模型则只有实际值的一半。在所有同等的条件下,基于非交叉模型的作图效率均高于基于交叉模型(无校正)的作图效率。对于非交叉配子形成体,采用基于非交叉模型的交换率计算方法能获得理想的作图效率。Maximum likelihood (ML) approach is used for estimating recombination frequency based on the achiasmatic model and the corresponding software package is developed for constructing linkage maps for achiasmatic organisms (F 2 populations).The detection of sex linked markers is done through a chi square test.Monte Carlo simulations were conducted for comparing estimation of recombination frequency and mapping powers between these two genetic models (chiasmatic and achiasmatic models) when the achiasmata occurs.Simulation results showed that the achiasmatic model could provide unbiased estimations,while the chiasmatic model (without correction) gave under estimates.The powers of grouping and ordering by the achiasmatic model were greater than those by the chiasmatic model (without correction) for all cases.ML approach based on the achiasmatic model can be used without correcting the data to obtain desirable linkage map powers in achiasmatic organisms.
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