Mashimo Tomoji, Voigt Birger, Tsurumi Toshiko, Naoi Kuniko, Nakanishi Satoshi, Yamasaki Ken-ichi, Kuramoto Takashi, Serikawa Tadao
Institute of Laboratory Animals, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan.
BMC Genet. 2006 Apr 4;7:19. doi: 10.1186/1471-2156-7-19.
BACKGROUND: The National Bio Resource Project for the Rat in Japan (NBRP-Rat) is focusing on collecting, preserving and distributing various rat strains, including spontaneous mutant, transgenic, congenic, and recombinant inbred (RI) strains. To evaluate their value as models of human diseases, we are characterizing them using 109 phenotypic parameters, such as clinical measurements, internal anatomy, metabolic parameters, and behavioral tests, as part of the Rat Phenome Project. Here, we report on a set of 357 simple sequence length polymorphism (SSLP) markers and 122 rat strains, which were genotyped by the marker set. RESULTS: The SSLP markers were selected according to their distribution patterns throughout the whole rat genome with an average spacing of 7.59 Mb. The average number of informative markers between all possible pairs of strains was 259 (72.5% of 357 markers), showing their high degree of polymorphism. From the genetic profile of these rat inbred strains, we constructed a rat family tree to clarify their genetic background. CONCLUSION: These highly informative SSLP markers as well as genetically and phenotypically defined rat strains are useful for designing experiments for quantitative trait loci (QTL) analysis and to choose strategies for developing new genetic resources. The data and resources are freely available at the NBRP-Rat web site 1.
背景:日本大鼠国家生物资源项目(NBRP - Rat)专注于收集、保存和分发各种大鼠品系,包括自发突变体、转基因、近交系和重组近交(RI)品系。为了评估它们作为人类疾病模型的价值,作为大鼠表型组计划的一部分,我们正在使用109个表型参数对它们进行表征,如临床测量、内部解剖、代谢参数和行为测试。在此,我们报告一组357个简单序列长度多态性(SSLP)标记和122个大鼠品系,这些品系通过该标记集进行了基因分型。 结果:根据SSLP标记在整个大鼠基因组中的分布模式进行选择,平均间距为7.59 Mb。所有可能品系对之间信息性标记的平均数量为259个(占357个标记的72.5%),表明它们具有高度多态性。根据这些大鼠近交系的遗传概况,我们构建了大鼠家族树以阐明它们的遗传背景。 结论:这些信息丰富的SSLP标记以及在遗传和表型上明确的大鼠品系,对于设计数量性状基因座(QTL)分析实验以及选择开发新遗传资源的策略很有用。这些数据和资源可在NBRP - Rat网站1上免费获取。
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