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Familial clustering of mice consistent to known pedigrees enabled by the genome profiling (GP) method

机译:通过基因组分析(GP)方法实现与已知谱系一致的小鼠家族聚集

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摘要

Familial clustering without any prerequisite knowledge becomes often necessary in Behavioral Science, and forensic studies in case of great disasters like Tsunami and earthquake requiring body-identification without any usable information. However, there has been no well-established method for this purpose although conventional ones such as short tandem repeats (STR) and single nucleotide polymorphism (SNP), which might be applied with toil and moil to some extent. In this situation, we could find that the universal genome distance-measuring method genome profiling (GP), which is made up of three elemental techniques; random PCR, micro-temperature gradient gel electrophoresis (μTGGE), and computer processing for normalization, can do this purpose with ease when applied to mouse families. We also confirmed that the sequencing approach based on the ccgf (commonly conserved genetic fragment appearing in the genome profile) was not completely discriminative in this case. This is the first demonstration that the familial clustering can be attained without a priori sequence information to the level of discriminating strains and sibling relationships. This method can complement the conventional approaches in preliminary familial clustering.
机译:在行为科学中,经常需要没有任何先决知识的家庭聚类,而在海啸和地震等重大灾难的情况下,法医研究需要在没有任何可用信息的情况下进行人体识别。但是,尽管常规方法如短串联重复序列(STR)和单核苷酸多态性(SNP)(可能在一定程度上适用于人工劳动和摩尔劳动),但仍没有为此目的建立完善的方法。在这种情况下,我们可以发现通用基因组距离测量方法基因组图谱(GP)由三种基本技术组成:当应用于小鼠家族时,随机PCR,微温度梯度凝胶电泳(μTGGE)以及用于标准化的计算机处理可以轻松实现此目的。我们还证实,在这种情况下,基于ccgf(通常在基因组图谱中出现的保守基因片段)的测序方法不是完全可区分的。这是第一个证明,可以在没有先验序列信息到区分菌株和同胞关系水平的情况下获得家族聚类。该方法可以补充传统的家族聚类方法。

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