A DNA-barcoded Luria-Delbrück assay resolves mechanisms of adaptation.

Kabir Husain, LaNijah Flagg, David Pincus, Arvind Murugan
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Abstract

When populations encounter a harsh new environment, they adapt in many different ways - from spontaneous genetic changes to transient non-genetic plasticity. Distinguishing between mechanisms of adaptation is often difficult, as the key events are rare and hard to observe directly. Here, we introduce BarFly, a Luria-Delbrück assay that uses DNA barcoding and deep sequencing to resolve the Luria-Delbrück distribution - the statistics of adaptation to a new environment - over four orders of magnitude. At this statistical depth, the shape of the distribution encodes the underlying adaptive mechanism. We find that DNA mismatch repair mutants shift the distribution's scale without changing its shape, indicating their only effect is as mutator alleles. A pulse of UV mutagenesis, however, adds a second, statistically distinguishable mode atop the spontaneous background, showing that different mechanisms of adaptation can be quantified directly from the distribution. By sampling rare-event statistics with DNA barcodes, BarFly provides a general method for studying mechanisms of adaptation in evolving populations from microbes to cancers.

dna条形码luria - delbr检测解决了适应机制。
当种群遇到严酷的新环境时,它们会以多种不同的方式进行适应——从自发的遗传变化到短暂的非遗传可塑性。区分适应机制通常是困难的,因为关键事件很少,很难直接观察到。在这里,我们介绍了HiDenSeq,一种luria - delbr检测,它使用DNA条形码和深度测序来解决luria - delbr分布-对新环境的适应统计-超过四个数量级。在这个统计深度上,分布的形状编码了潜在的自适应机制。我们发现DNA错配修复突变体在不改变其形状的情况下改变了分布的规模,这表明它们的唯一作用是作为突变等位基因。然而,紫外线诱变脉冲在自发背景上增加了第二种统计上可区分的模式,表明不同的适应机制可以直接从分布中量化。通过对DNA条形码进行罕见事件统计采样,HiDenSeq为研究从微生物到癌症的进化群体的适应机制提供了一种通用方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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