首页> 外文期刊>Heredity: An International Journal of Genetics >High rate of calculation errors in mismatch distribution analysis results in numerous false inferences of biological importance.
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High rate of calculation errors in mismatch distribution analysis results in numerous false inferences of biological importance.

机译:失配分布分析中的高计算错误率导致许多生物学重要性的错误推断。

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One of the greatest challenges in unravelling the demographic history of populations is the lack of a universal molecular clock as first envisioned by Zuckerkandl and Pauling (1965) and our lack of certainty concerning even calibrated or local (within and between closely related species) molecular clocks (Hickerson et ah, 2003). Evolutionary rates can vary widely within and among groups of organisms (for example, Garcia-More-no, 2004; Thomas et ah, 2006). The hypothesised causes of this variation are diverse and include varying population sizes and selection pressures, different generation times and the influence of body size on metabolic rates (for example, Baer et ah, 2007). The stochasticity of the coalescence process within lineages (Edwards and Beerli, 2000) adds even more complexity to simple uniform calibrations. Although attempts to overcome or account for these uncertainties remain at the forefront of evolutionary research, our focus in this study is on a much more mundane problem. Very simply, assuming a given substitution or divergence rate, are authors correctly applying it in standard algorithms in order to infer the timing of demographic events?
机译:揭示人口统计学历史的最大挑战之一是缺乏通用的分子钟,这是扎克坎德和鲍林(Zuckerkandl and Pauling,1965)最初设想的,而且我们甚至对于校准的或局部的(在近亲物种内部和之间)分子时钟也缺乏确定性。 (Hickerson等,2003)。生物体内部和生物体之间的进化速率差异很大(例如,Garcia-More-no,2004; Thomas等,2006)。推测这种变化的原因是多种多样的,包括变化的人口规模和选择压力,不同的世代时间以及身体大小对代谢率的影响(例如,Baer等,2007)。宗族内合并过程的随机性(Edwards和Beerli,2000)为简单的统一校准增加了更多的复杂性。尽管克服或解决这些不确定性的尝试仍处于进化研究的前沿,但我们在这项研究中的重点是一个更为平凡的问题。很简单,假设给定的替代率或背离率,作者是否在标准算法中正确应用了该方法以推断人口统计事件的发生时间?

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