Eppig J T, Eicher E M
Genetics. 1983 Apr;103(4):797-812. doi: 10.1093/genetics/103.4.797.
Murine ovarian teratomas were used to determine recombination percentages for gene-gene and centromere-gene intervals. Data were obtained utilizing a recombinant inbred strain, LTXBJ, and a number of newly developed LT/SvEi congenic strains.--Centromere-gene recombination was measured at 11.3 +/- 1.2% for the centromere of chromosome 7 - Gpi-1 interval and 15.8 +/- 2.4% for the centromere of chromosome 14 - Np-1 interval using the ovarian teratoma method. The centromere - Np-1 interval was measured at 26.5 +/- 3.6% using a standard backcross involving the Rb6Bnr Robertsonian translocation as a centromere marker.--To assess the accuracy of the ovarian teratoma mapping method, we compared the recombination frequency obtained for the Mpi-1-Mod-1 interval on chromosome 9 using the ovarian teratoma method to that obtained using a standard backcross. The recombination percentage was 22.9 +/- 5.4 using the ovarian teratoma method and 18.6 +/- 3.3 using the backcross method, indicating that the two methods produce equivalent estimates of recombination. In addition, for centromere-gene intervals known to be more than 30 cM in length, the ovarian teratoma method was consistent with classical recombination methods, yielding high recombination percentages. We conclude from these results that the ovarian teratoma mapping method is a reliable method for estimating recombination frequencies and the most accurate method available for estimating centromere-gene recombination frequency in the mouse.
利用小鼠卵巢畸胎瘤来确定基因-基因和着丝粒-基因区间的重组率。数据是通过一个重组近交系LTXBJ以及一些新开发的LT/SvEi同源近交系获得的。——使用卵巢畸胎瘤方法,测得7号染色体着丝粒-Gpi-1区间的着丝粒-基因重组率为11.3±1.2%,14号染色体着丝粒-Np-1区间的着丝粒-基因重组率为15.8±2.4%。使用涉及Rb6Bnr罗伯逊易位作为着丝粒标记的标准回交法,测得着丝粒-Np-1区间为26.5±3.6%。——为评估卵巢畸胎瘤定位方法的准确性,我们将使用卵巢畸胎瘤方法获得的9号染色体上Mpi-1-Mod-1区间的重组频率与使用标准回交法获得的重组频率进行了比较。使用卵巢畸胎瘤方法时重组率为22.9±5.4%,使用回交法时为18.6±3.3%,这表明两种方法产生的重组估计值相当。此外,对于已知长度超过30 cM的着丝粒-基因区间,卵巢畸胎瘤方法与经典重组方法一致,产生较高的重组率。从这些结果我们得出结论,卵巢畸胎瘤定位方法是一种估计重组频率的可靠方法,也是小鼠中估计着丝粒-基因重组频率最准确的可用方法。