Demographics of genetic admixture and expansion

IF 2 4区 生物学 Q2 BIOLOGY
Dalkhat M. Ediev
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引用次数: 0

Abstract

We explore the dynamics of genetic admixture and expansion, as well as language assimilation, through mathematical-demographic modeling. Our primary goal is to address the population-genetics 'paradox' wherein autosomes and allosomes present markedly different, if not contradictory, pictures of past migrations. We demonstrate that this paradox may find a purely demographic explanation, as single-sex and two-sex reproduction models exhibit markedly distinct dynamics. We illustrate that the three processes—allosomal expansion, autosomal admixture, and language assimilation—occur at significantly different modes, potentially explaining the varied outcomes of these processes upon the completion of ethnogenetic transitions. Our research offers valuable insights into the intricate interplay between demography, genetics, and social organization, providing implications for historical scenarios and enhancing our understanding of the long-term consequences of migration and social cohesion.
基因掺杂和扩展的人口统计学。
我们探索遗传混合和扩展的动态,以及语言同化,通过数学人口模型。我们的主要目标是解决群体遗传学的“悖论”,其中常染色体和同种异体呈现出明显不同的,如果不是矛盾的,过去迁移的图片。我们证明这一悖论可以找到纯粹的人口统计学解释,因为单性和两性繁殖模式表现出明显不同的动态。我们说明了这三个过程——同种体扩展、常染色体混合和语言同化——以显著不同的模式发生,这可能解释了这些过程在完成民族遗传转变后的不同结果。我们的研究为人口统计学、遗传学和社会组织之间错综复杂的相互作用提供了有价值的见解,为历史情景提供了启示,并增强了我们对移民和社会凝聚力长期后果的理解。
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来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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