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通过指纹分析利用大插入片段细菌克隆进行基因组物理图谱构建:方法、源克隆基因组覆盖度和重叠群图谱质量。

Genome physical mapping with large-insert bacterial clones by fingerprint analysis: methodologies, source clone genome coverage, and contig map quality.

作者信息

Xu Zhanyou, Sun Shuku, Covaleda Lina, Ding Kejiao, Zhang Aimin, Wu Chengcang, Scheuring Chantel, Zhang Hong-Bin

机构信息

Department of Soil and Crop Sciences and Institute for Plant Genomics and Biotechnology, 2123 TAMU, Texas A&M University, College Station, TX 77843-2123, USA.

出版信息

Genomics. 2004 Dec;84(6):941-51. doi: 10.1016/j.ygeno.2004.08.014.

Abstract

Genome physical mapping with large-insert clones by fingerprint analysis is becoming an active area of genomics research. Here, we report two new capillary electrophoresis-based fingerprinting methods for genome physical mapping and the effects of different fingerprinting methods and source clone genome coverage on quality physical map construction revealed by computer simulations and laboratory experiments. It was shown that the manual sequencing gel-based two-enzyme fingerprinting method consistently generated larger and more accurate contigs, followed by the new capillary electrophoresis-based three-enzyme method, the new capillary electrophoresis-based five-enzyme (SNaPshot) method, the agarose gel-based one-enzyme method, and the automatic sequencing gel-based four-enzyme method, in descending order, when 1% or fewer questionable clones were allowed. Analysis of clones equivalent to 5x, 8x, 10x, and 15x genomes using the fingerprinting methods revealed that as the number of clones increased from 5x to 10x, the contig length rapidly increased for all methods. However, when the number of clones was increased from 10x to 15x coverage, the contig length at best increased at a lower rate or even decreased. The results will provide useful knowledge and strategies for effective construction of quality genome physical maps for advanced genomics research.

摘要

通过指纹分析利用大插入片段克隆进行基因组物理图谱构建正成为基因组学研究的一个活跃领域。在此,我们报告了两种基于毛细管电泳的新指纹分析方法用于基因组物理图谱构建,以及通过计算机模拟和实验室实验揭示的不同指纹分析方法和源克隆基因组覆盖率对高质量物理图谱构建的影响。结果表明,当允许1%或更少的可疑克隆时,基于手工测序凝胶的双酶指纹分析方法始终能生成更大且更准确的重叠群,其次是基于毛细管电泳的新三酶方法、基于毛细管电泳的新五酶(SNaPshot)方法、基于琼脂糖凝胶的单酶方法以及基于自动测序凝胶的四酶方法,按降序排列。使用这些指纹分析方法对相当于5倍、8倍、10倍和15倍基因组的克隆进行分析表明,随着克隆数量从5倍增加到10倍,所有方法的重叠群长度都迅速增加。然而,当克隆数量从10倍增加到15倍覆盖率时,重叠群长度最多以较低速率增加甚至减少。这些结果将为高级基因组学研究有效构建高质量基因组物理图谱提供有用的知识和策略。

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