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Use of high throughput sequencing to observe genome dynamics at a single cell level

机译:使用高通量测序在单个细胞水平上观察基因组动态

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With the development of high throughput sequencing technology, it becomes possible to directly analyze mutation distribution in a genome-wide fashion, dissociating mutation rate measurements from the traditional underlying assumptions. Here, we sequenced several genomes of Escherichia coli from colonies obtained after chemical mutagenesis and observed a strikingly nonrandom distribution of the induced mutations. These include long stretches of exclusively G to A or C to T transitions along the genome and orders of magnitude intra- and intergenomic differences in mutation density. Whereas most of these observations can be explained by the known features of enzymatic processes, the others could reflect stochasticity in the molecular processes at the single-cell level. Our results demonstrate how analysis of the molecular records left in the genomes of the descendants of an individual mutagenized cell allows for genome-scale observations of fixation and segregation of mutations, as well as recombination events, in the single genome of their progenitor.
机译:随着高通量测序技术的发展,有可能以全基因组的方式直接分析突变分布,从而将突变率的测量结果与传统的基本假设分离开来。在这里,我们从化学诱变后获得的菌落中测序了大肠杆菌的几个基因组,并观察到引诱突变的非随机分布。这些包括沿着基因组的仅G到A或C到T过渡的长距离延伸,以及突变密度的数量级内和基因组差异。尽管大多数这些观察结果可以通过酶促过程的已知特征来解释,但其他观察结果可以反映单细胞水平上分子过程中的随机性。我们的结果表明,对单个诱变细胞后代的基因组中留下的分子记录进行分析,如何能够在其祖细胞的单个基因组中进行基因组规模的突变固定和分离以及重组事件的观察。

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