Department of Animal and Plant Sciences, University of Sheffield, Sheffield, S10 2TN, UK.
Mol Ecol. 2010 Apr;19(7):1439-51. doi: 10.1111/j.1365-294X.2010.04554.x. Epub 2010 Feb 10.
In recent years there has been a dramatic increase in the availability of high density genetic marker data for both model and non-model organisms. A potential application of these data is to infer relatedness in the absence of a complete pedigree. Using a marker panel of 771 SNPs genotyped in three generations of an extensive zebra finch pedigree, correlations between pedigree relatedness and seven marker-based estimates of relatedness were examined, as was the relationship between heterozygosity and inbreeding. Although marker-based and pedigree relatedness were highly correlated, the variance in estimated relatedness was high. Further, the correlation between heterozygosity and inbreeding was weak, even though mean inbreeding coefficient is typical of that seen in wild vertebrate pedigrees; the weak relationship was in part due to the small variance in inbreeding in the pedigree. Our data suggest that using marker information to reconstruct the pedigree, and then calculating relatedness from the pedigree, is likely to give more accurate relatedness estimates than using marker-based estimators directly.
近年来,模式生物和非模式生物的高密度遗传标记数据的可用性显著增加。这些数据的一个潜在应用是在没有完整系谱的情况下推断亲缘关系。利用在一个广泛的斑马雀系谱的三代中遗传分型的 771 个 SNP 标记面板,检查了系谱亲缘关系与七种基于标记的亲缘关系估计值之间的相关性,以及杂合性与近交之间的关系。尽管基于标记和系谱的亲缘关系高度相关,但估计的亲缘关系的方差很高。此外,杂合性与近交之间的相关性很弱,尽管平均近交系数是在野生脊椎动物系谱中常见的;这种弱关系部分是由于系谱中近交的方差较小。我们的数据表明,使用标记信息重建系谱,然后从系谱中计算亲缘关系,可能比直接使用基于标记的估计值更能准确估计亲缘关系。