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首页> 外文期刊>Molecular ecology notes >Simultaneous cloning of multiple nuclear genes by pooling PCR products of variable size: a cost-effective method of improving efficiency in large-scale genetic analyses
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Simultaneous cloning of multiple nuclear genes by pooling PCR products of variable size: a cost-effective method of improving efficiency in large-scale genetic analyses

机译:通过合并可变大小的PCR产物同时克隆多个核基因:提高大规模遗传分析效率的经济有效方法

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I present a simple approach to overcome the high cost and low efficiency of cloning polymerase chain reaction (PCR) products for individuals in wide-scale population genetic analyses. The methodology reduces the number of cloning reactions per individual by engineering a suite of genetic markers that differ in size and pooling these PCR products prior to cloning. Alleles from each gene are then recovered by screening transformed bacterial colonies and identifying the inserts corresponding to each gene based on size. I demonstrate the utility of this technique by presenting the results I obtained from cloning four nuclear genes in 118 individuals from three species of sea urchins (Strongylocentrotus purpuratus, S. droebachiensis and S. pallidus). Of the 472 different PCR products I cloned, I recovered at least one allele for 432 of them (91.5%) by screening between 16 and 32 bacterial colonies for each individual. There existed a bias with respect to recovery efficiency: the two largest fragments (1130-800 bp) were recovered 100% of the time, while the two smaller fragments (580-650 bp) were recovered in 85.6% and 81.4% of the experiments, respectively. I discuss the promise of this application for wide-scale genetic analyses.
机译:我提出了一种简单的方法,可以克服在大规模人群遗传分析中针对个体克隆聚合酶链反应(PCR)产品的高成本和低效率。该方法通过设计一套大小不同的遗传标记并在克隆前合并这些PCR产物,减少了每个人的克隆反应数量。然后通过筛选转化的细菌菌落并根据大小鉴定与每个基因相对应的插入片段,从每个基因中回收等位基因。通过展示我从三种海胆(Strongylocentrotus purpuratus,S。droebachiensis和S. pallidus)的118个个体中克隆四个核基因所获得的结果,我展示了该技术的实用性。在我克隆的472种不同PCR产物中,我通过为每个个体筛选16至32个细菌菌落,回收了其中432种(91.5%)的至少一个等位基因。回收率存在偏差:两个最大的片段(1130-800 bp)在100%的时间内被回收,而两个较小的片段(580-650 bp)在85.6%和81.4%的实验中被回收, 分别。我讨论了此应用程序对大规模遗传分析的希望。

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