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通过对部分限制性酶切产物进行计算机辅助解读来定位酵母人工染色体(YAC)中的基因。

Mapping genes within a YAC by computer-assisted interpretation of partial restriction digestions.

作者信息

Shields D C, Butler A, Mosurski K R, Walsh M T, Whitehead A S

机构信息

Department of Genetics, Trinity College, Dublin, Ireland.

出版信息

Nucleic Acids Res. 1996 Nov 15;24(22):4495-500. doi: 10.1093/nar/24.22.4495.

Abstract

Partial restriction digestion is used to map restriction sites and the location of genes within yeast artificial chromosomes (YACs). Locus-specific probes are hybridised to the partially digested YAC DNA and the fragments to which they hybridise are compared with the pattern of partial digestion products that include each map region. A least squares criterion is presented which allows for error in fragment length determination. This rapidly defines the most likely location of a marker within the restriction map and permits the combination of results from digestions with different restriction enzymes. Approximate confidence intervals may be assigned to gene locations, and tests of goodness-of-fit of the data may be performed. Since the number of erroneously matched fragments increases in proportion to the square of the number of sites, denser maps are not necessarily more informative. Simulations indicate that the optimal number of internal restriction sites given typical experimental error (1% of YAC length) is about five sites; the associated broad support interval (on average one third of YAC length) may be reduced by combining results from different enzyme digestions. Application of a computer implementation of this model to experimental data showed that the model fitted well, and estimates of location were found to be consistent with other evidence.

摘要

部分限制性酶切用于绘制酵母人工染色体(YAC)内的限制性酶切位点图谱和基因位置。位点特异性探针与部分酶切的YAC DNA杂交,并将与其杂交的片段与包括每个图谱区域的部分酶切产物模式进行比较。提出了一种最小二乘法标准,该标准考虑了片段长度测定中的误差。这可以快速确定标记在限制性图谱中的最可能位置,并允许将不同限制性酶消化的结果进行合并。可以为基因位置指定近似的置信区间,并对数据进行拟合优度检验。由于错误匹配片段的数量与位点数量的平方成正比,因此更密集的图谱不一定更具信息量。模拟表明,在典型实验误差(YAC长度的1%)下,内部限制性酶切位点的最佳数量约为5个;通过合并不同酶消化的结果,可以减少相关的宽支持区间(平均为YAC长度的三分之一)。将该模型的计算机实现应用于实验数据表明,该模型拟合良好,并且位置估计与其他证据一致。

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