对古代犬类基因组的推算揭示了过去1万年内在繁殖的历史
Katia Bougiouri1, Sabhrina Gita Aninta2,3, Sophy Charlton4
1Section for Molecular Ecology and Evolution, Globe Institute, University of Copenhagen, Copenhagen 1350, Denmark.
概括
基因组归算显著增强古代狗和狼的DNA分析,即使是低质量的数据. 这种方法提高了对狗的进化,品种多样性和过去1万年内在繁殖模式的理解.
科学领域:
- 古代DNA分析 古代DNA分析
- 狗的基因组学 狗的基因组学
- 人口遗传学 人口遗传学
背景情况:
- 狗和人类共同进化的悠久历史使得古老的狗和狼基因组对于理解进化过程至关重要.
- 古代基因组的低覆盖率和DNA损伤等挑战限制了基因型调用和下游分析.
- 基因组归算提供了一个潜在的解决方案,以提高古代样本的数据质量.
研究的目的:
- 评估古代狗和狼基因组的基因型归算的准确性和实用性.
- 评估归算对人口遗传分析的影响,包括主要成分分析和同卵性 (ROH) 运行.
- 调查近亲繁殖水平的变化,并确定与古代犬的特定特征相关的基因组区域.
主要方法:
- 降低样本高覆盖犬和狼基因组到低覆盖 (0.052×) 以模拟古代DNA.
- 评估基因型归算的准确性,通过将归算的基因型与高覆盖率的参考基因型进行比较.
- 对90个古老的狗和狼基因组的数据集进行归算,并分析ROH模式.
主要成果:
- 对于狗的0.5×覆盖面和狼的1.0×覆盖面,实现了高的归算准确性 (R2>0.9).
- 推算改善了古老犬类基因组的主要成分分析和ROH估计.
- 古代的狗和狼种群通常比现在的狗更低的近亲繁殖.
- 具有低ROH密度的保存区域与免疫和化学传感基因有关.
结论:
- 基因型归因是一种可行且强大的策略,用于分析低质量的古老犬类基因组.
- 这种方法扩大了先进分析技术对古代DNA数据集的适用性.
- 推算有助于更深入地了解狗的进化历史,包括内生生殖动态和特征的遗传基础.
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