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Bayesian inference of species hybrids using multilocus dominant genetic markers

机译:利用多基因座遗传标记对物种杂种进行贝叶斯推断

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摘要

Neutral genetic markers are useful for identifying species hybrids in natural populations, especially when used in conjunction with statistical methods like the one implemented in the software NewHybrids. Here, a short description of the extension of NewHybrids to dominant markers is given. Subsequently, an extensive series of simulations of amplified fragment length polymorphism (AFLP) data is performed to evaluate the prospects for hybrid identification with (possibly non-diagnostic) dominant markers. Distinguishing between F1's and F2's is shown to be difficult, possibly requiring upwards of 100 AFLP markers to be done accurately. Discriminating between pure-bred and non-pure (hybrid) individuals, however, is shown to be much easier, requiring perhaps as few as 10 dominant markers, even from relatively weakly diverged species.
机译:中性遗传标记可用于识别自然种群中的物种杂种,尤其是与统计方法(如在NewHybrids软件中实施的统计方法)结合使用时。在这里,给出了将NewHybrids扩展到显性标记的简短描述。随后,进行了一系列广泛的扩增片段长度多态性(AFLP)数据模拟,以评估使用(可能是非诊断性的)优势标记进行杂交鉴定的前景。区分F1和F2非常困难,可能需要准确地完成100多个AFLP标记。但是,区分纯种和非纯种(杂交)个体要容易得多,甚至可能只需要10个显性标记,即使是相对较弱的物种也是如此。

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