González-Rodríguez Aldemar, Munilla Sebastián, Mouresan Elena F, Cañas-Álvarez Jhon J, Díaz Clara, Piedrafita Jesús, Altarriba Juan, Baro Jesús Á, Molina Antonio, Varona Luis
Departamento de Anatomía, Embriología y Genética, Universidad de Zaragoza, 50013, Saragossa, Spain.
Departamento de Producción Animal, Facultad de Agronomía, Universidad de Buenos Aires, 1417, Buenos Aires, Argentina.
Genet Sel Evol. 2016 Oct 28;48(1):81. doi: 10.1186/s12711-016-0258-1.
Procedures for the detection of signatures of selection can be classified according to the source of information they use to reject the null hypothesis of absence of selection. Three main groups of tests can be identified that are based on: (1) the analysis of the site frequency spectrum, (2) the study of the extension of the linkage disequilibrium across the length of the haplotypes that surround the polymorphism, and (3) the differentiation among populations. The aim of this study was to compare the performance of a subset of these procedures by using a dataset on seven Spanish autochthonous beef cattle populations.
Analysis of the correlations between the logarithms of the statistics that were obtained by 11 tests for detecting signatures of selection at each single nucleotide polymorphism confirmed that they can be clustered into the three main groups mentioned above. A factor analysis summarized the results of the 11 tests into three canonical axes that were each associated with one of the three groups. Moreover, the signatures of selection identified with the first and second groups of tests were shared across populations, whereas those with the third group were more breed-specific. Nevertheless, an enrichment analysis identified the metabolic pathways that were associated with each group; they coincided with canonical axes and were related to immune response, muscle development, protein biosynthesis, skin and pigmentation, glucose metabolism, fat metabolism, embryogenesis and morphology, heart and uterine metabolism, regulation of the hypothalamic-pituitary-thyroid axis, hormonal, cellular cycle, cell signaling and extracellular receptors.
We show that the results of the procedures used to identify signals of selection differed substantially between the three groups of tests. However, they can be classified using a factor analysis. Moreover, each canonical factor that coincided with a group of tests identified different signals of selection, which could be attributed to processes of selection that occurred at different evolutionary times. Nevertheless, the metabolic pathways that were associated with each group of tests were similar, which suggests that the selection events that occurred during the evolutionary history of the populations probably affected the same group of traits.
用于检测选择特征的程序可根据其用于拒绝无选择零假设的信息来源进行分类。可以确定基于以下三个主要测试组:(1)位点频率谱分析,(2)围绕多态性的单倍型长度上连锁不平衡扩展的研究,以及(3)群体间的分化。本研究的目的是通过使用关于七个西班牙本土肉牛群体的数据集来比较这些程序子集的性能。
对在每个单核苷酸多态性处检测选择特征的11种测试所获得的统计量对数之间的相关性分析证实,它们可以聚类为上述三个主要组。因子分析将11种测试的结果总结为三个典型轴,每个轴与三个组之一相关联。此外,用第一组和第二组测试鉴定出的选择特征在群体间是共享的,而第三组的则更具品种特异性。然而,富集分析确定了与每组相关的代谢途径;它们与典型轴一致,并且与免疫反应、肌肉发育、蛋白质生物合成、皮肤和色素沉着、葡萄糖代谢、脂肪代谢、胚胎发生和形态、心脏和子宫代谢、下丘脑 - 垂体 - 甲状腺轴调节、激素、细胞周期、细胞信号传导和细胞外受体有关。
我们表明,用于识别选择信号的程序结果在三组测试之间存在很大差异。然而,它们可以使用因子分析进行分类。此外,与一组测试一致的每个典型因子识别出不同的选择信号,这可能归因于在不同进化时间发生的选择过程。然而,与每组测试相关的代谢途径是相似的,这表明在群体进化历史中发生的选择事件可能影响了同一组性状。