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Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
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In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
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Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
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The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
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在混杂种群中影响当地祖先推断表现的特征.

Jessica Honorato-Mauer1, Nirav N Shah1, Adam X Maihofer2

  • 1Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.

American journal of human genetics
|January 3, 2025
PubMed
概括

准确的本地祖先推断 (LAI) 对混合种群的基因组研究至关重要. 这项研究发现,美洲原住民祖先的遗迹显示精度降低,强调需要更好的参考面板和优化的LAI策略.

关键词:
祖先的血统 祖先的祖先生物信息学是一种生物信息学.基因添加剂是一种基因添加剂.当地的祖先推断推断.人口遗传学 人口遗传学参考面板是指参考面板的参考面板.

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科学领域:

  • 基因组学就是基因组学.
  • 人口遗传学 人口遗传学

背景情况:

  • 准确的本地祖先推断 (LAI) 对混合种群的基因组研究至关重要.
  • 现有的LAI方法需要优化各种祖先,特别是那些在拉丁美洲发现的.

研究的目的:

  • 评估LAI策略,以在混合群体中获得最佳准确性.
  • 为LAI提供最佳实践指南,重点关注非洲 (AFR),美洲原住民 (AMR) 和欧洲 (EUR) 的祖先.

主要方法:

  • 在各种混合模型下模拟的链接-不平衡-告知混合哈普洛类型.
  • 通过不同的参考面板组成,DNA数据类型,人口统计和软件参数来测试LAI管道性能.
  • 量化祖先特定的LAI准确性.

主要成果:

  • 与欧洲 (EUR,96 - 99%) 和非洲 (AFR,98 - 99%) 地区相比,美洲原住民 (AMR) 地区的LAI准确性较低 (88 - 94%).
  • 错误地将最常被指定的欧洲祖先与美洲土著遗址联系在一起.
  • 参考小组与目标人群相匹配,提高了准确性和计算效率.
  • 更高的变异密度提高了LAI准确性,而归算并没有对性能产生负面影响.

结论:

  • 优化的LAI策略对于在混合种群中进行准确的基因组分析至关重要.
  • 改进的参考面板,特别是包括代表性不足的群体,对于提高所有祖先的LAI准确性至关重要.
  • 结果为LAI最佳实践在各种混合人群中提供了广泛的适用性.