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首页> 外文期刊>Molecular biology and evolution >Estimation of Population Divergence Times from Non-Overlapping Genomic Sequences: Examples from Dogs and Wolves
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Estimation of Population Divergence Times from Non-Overlapping Genomic Sequences: Examples from Dogs and Wolves

机译:从不重叠的基因组序列估计人口分歧时间:来自狗和狼的例子

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摘要

Despite recent technological advances in DNA sequencing, incomplete coverage remains to be an issue in population genomics, in particular for studies that include ancient samples. Here, we describe an approach to estimate population divergence times for non-overlapping sequence data that is based on probabilities of different genealogical topologies under a structured coalescent model. We show that the approach can be adapted to accommodate common problems such as sequencing errors and postmortem nucleotide misincorporations, and we use simulations to investigate biases involved with estimating genealogical topologies from empirical data. The approach relies on three reference genomes and should be particularly useful for future analysis of genomic data that comprise of nonoverlapping sets of sequences, potentially from different points in time. We applied the method to shotgun sequence data from an ancient wolf together with extant dogs and wolves and found striking resemblance to previously described fine-scale population structure among dog breeds. When comparing modern dogs to four geographically distinct wolves, we find that the divergence time between dogs and an Indian wolf is smallest, followed by the divergence times to a Chinese wolf and a Spanish wolf, and a relatively long divergence time to an Alaskan wolf, suggesting that the origin of modern dogs is somewhere in Eurasia, potentially southern Asia. We find that less than two-thirds of all loci in the boxer and poodle genomes are more similar to each other than to a modern gray wolf and that-assuming complete isolation without gene flow-the divergence time between gray wolves and modern European dogs extends to 3,500 generations before the present, corresponding to approximately 10,000 years ago (95% confidence interval [CI]: 9,000-13,000). We explicitly study the effect of gene flow between dogs and wolves on our estimates and show that a low rate of gene flow is compatible with an even earlier domestication date similar to 30,000 years ago (95% CI: 15,000-90,000). This observation is in agreement with recent archaeological findings and indicates that human behavior necessary for domestication of wild animals could have appeared much earlier than the development of agriculture.
机译:尽管最近在DNA测序技术上取得了进步,但不完全覆盖仍然是种群基因组学中的一个问题,特别是对于包括古代样品的研究。在这里,我们描述了一种基于结构化合并模型下不同族谱拓扑的概率来估计非重叠序列数据的种群分歧时间的方法。我们表明该方法可以适应常见的问题,例如测序错误和死后核苷酸错误掺入,并且我们使用模拟方法来研究从经验数据中估计家谱拓扑结构所涉及的偏差。该方法依赖于三个参考基因组,对于将来分析可能由不同时间点组成的非重叠序列集的基因组数据特别有用。我们将该方法应用于一头远古狼以及现存的狗和狼的shot弹枪序列数据,发现与先前描述的狗品种中的小规模种群结构惊人相似。将现代犬与四种地理上不同的狼进行比较时,我们发现狗与印度狼之间的发散时间最短,其次是中国狼和西班牙狼的发散时间,以及与阿拉斯加狼的发散时间相对较长,这表明现代犬的起源是在欧亚大陆的某个地方,可能是南亚。我们发现,在拳击手和贵宾犬基因组中,只有不到三分之二的位点比现代灰太狼彼此更相似,并且假设完全隔离而没有基因流,则灰太狼和现代欧洲狗之间的分歧时间延长了到现在的3500代,相当于大约10,000年前(95%置信区间[CI]:9,000-13,000)。我们明确研究了狗和狼之间的基因流对我们的估计值的影响,并表明低的基因流率与甚至更早的驯化日期(与30,000年前相似)兼容(95%CI:15,000-90,000)。这一观察结果与最近的考古发现是一致的,并且表明驯养野生动物所必需的人类行为可能早于农业发展出现。

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