Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.
Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland.
Mol Ecol. 2018 Oct;27(20):4121-4135. doi: 10.1111/mec.14833. Epub 2018 Sep 7.
The concept of kinship permeates many domains of fundamental and applied biology ranging from social evolution to conservation science to quantitative and human genetics. Until recently, pedigrees were the gold standard to infer kinship, but the advent of next-generation sequencing and the availability of dense genetic markers in many species make it a good time to (re)evaluate the usefulness of genetic markers in this context. Using three published data sets where both pedigrees and markers are available, we evaluate two common and a new genetic estimator of kinship. We show discrepancies between pedigree values and marker estimates of kinship and explore via simulations the possible reasons for these. We find these discrepancies are attributable to two main sources: pedigree errors and heterogeneity in the origin of founders. We also show that our new marker-based kinship estimator has very good statistical properties and behaviour and is particularly well suited for situations where the source population is of small size, as will often be the case in conservation biology, and where high levels of kinship are expected, as is typical in social evolution studies.
亲缘关系的概念渗透到基础和应用生物学的许多领域,从社会进化到保护科学,再到数量和人类遗传学。直到最近,系谱仍是推断亲缘关系的金标准,但下一代测序的出现以及许多物种中密集遗传标记的可用性使得现在是重新评估遗传标记在这种情况下的有用性的好时机。我们使用了三个发表的数据集中既有系谱又有标记的数据集,评估了两种常见的和一种新的遗传亲缘关系估计方法。我们展示了系谱值和标记估计的亲缘关系之间的差异,并通过模拟探索了这些差异的可能原因。我们发现这些差异归因于两个主要来源:系谱错误和奠基者起源的异质性。我们还表明,我们新的基于标记的亲缘关系估计器具有非常好的统计特性和行为,特别适合于源种群规模较小的情况,这种情况在保护生物学中经常出现,并且预期会有高水平的亲缘关系,这种情况在社会进化研究中很典型。