Nelson William M, Bharti Arvind K, Butler Ed, Wei Fusheng, Fuks Galina, Kim Hyeran, Wing Rod A, Messing Joachim, Soderlund Carol
Arizona Genomics Computational Laboratory, BIO5 Institute, University of Arizona, Tucson, 85721, USA.
Plant Physiol. 2005 Sep;139(1):27-38. doi: 10.1104/pp.105.061978.
Fluorescent-based high-information-content fingerprinting (HICF) techniques have recently been developed for physical mapping. These techniques make use of automated capillary DNA sequencing instruments to enable both high-resolution and high-throughput fingerprinting. In this article, we report the construction of a whole-genome HICF FPC map for maize (Zea mays subsp. mays cv B73), using a variant of HICF in which a type IIS restriction enzyme is used to generate the fluorescently labeled fragments. The HICF maize map was constructed from the same three maize bacterial artificial chromosome libraries as previously used for the whole-genome agarose FPC map, providing a unique opportunity for direct comparison of the agarose and HICF methods; as a result, it was found that HICF has substantially greater sensitivity in forming contigs. An improved assembly procedure is also described that uses automatic end-merging of contigs to reduce the effects of contamination and repetitive bands. Several new features in FPC v7.2 are presented, including shared-memory multiprocessing, which allows dramatically faster assemblies, and automatic end-merging, which permits more accurate assemblies. It is further shown that sequenced clones may be digested in silico and located accurately on the HICF assembly, despite size deviations that prevent the precise prediction of experimental fingerprints. Finally, repetitive bands are isolated, and their effect on the assembly is studied.
基于荧光的高信息含量指纹图谱(HICF)技术最近已被开发用于物理图谱绘制。这些技术利用自动化毛细管DNA测序仪器来实现高分辨率和高通量指纹图谱绘制。在本文中,我们报道了利用一种HICF变体构建玉米(Zea mays subsp. mays cv B73)全基因组HICF FPC图谱,该变体使用IIS型限制性内切酶来产生荧光标记片段。HICF玉米图谱是由与之前用于全基因组琼脂糖FPC图谱相同的三个玉米细菌人工染色体文库构建而成,为直接比较琼脂糖和HICF方法提供了独特的机会;结果发现,HICF在形成重叠群方面具有显著更高的灵敏度。还描述了一种改进的组装程序,该程序使用重叠群的自动末端合并来减少污染和重复条带的影响。介绍了FPC v7.2中的几个新特性,包括共享内存多处理,这可实现显著更快的组装,以及自动末端合并,这可实现更准确的组装。进一步表明,尽管存在大小偏差,阻止了对实验指纹的精确预测,但测序克隆仍可在计算机上进行消化并准确地定位在HICF组装上。最后,分离出重复条带,并研究了它们对组装的影响。