杂合子优势自交群体的自适应减数分裂驱动

IF 1.2 4区 生物学 Q4 ECOLOGY Theoretical Population Biology Pub Date : 2022-08-01 DOI:10.1016/j.tpb.2022.06.001
Evgeny Brud
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引用次数: 0

摘要

配子在一个基因座上平均分配给每个等位基因(孟德尔隔离定律)是两性群体遗传特征的一种近乎普遍的现象。由于孟德尔定律的例外是已知的,人们可以利用修饰语理论来研究为什么非孟德尔分离不常见。早期的研究假设在具有杂合子优势的随机交配群体中存在与性别无关的修饰因子效应,得出的结论是,在长期进化过程中,平等隔离是稳定的。然而,随后的研究表明,当允许性别特异性修饰子效应时,孟德尔模式的稳定性就消失了。在这里,我推导出有利于在混合和强制自恋群体中废除孟德尔定律的入侵条件。在雄性和雌性配子的生产中,相反方向的分离扭曲是在显性适合度存在的情况下被选择的。这种条件比泛杂交条件下的限制性更小,因为即使没有互异杂合子的差异生存力,也可以发生强选择(即在显性适合度位点没有亲本起源效应)。得到了充分自适应的广义均衡。
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Adaptive meiotic drive in selfing populations with heterozygote advantage

The egalitarian allotment of gametes to each allele at a locus (Mendel’s law of segregation) is a near-universal phenomenon characterizing inheritance in sexual populations. As exceptions to Mendel’s law are known to occur, one can investigate why non-Mendelian segregation is not more common using modifier theory. Earlier work assuming sex-independent modifier effects in a random mating population with heterozygote advantage concluded that equal segregation is stable over long-term evolution. Subsequent investigation, however, demonstrated that the stability of the Mendelian scheme disappears when sex-specific modifier effects are allowed. Here I derive invasion conditions favoring the repeal of Mendelian law in mixed and obligate selfing populations. Oppositely-directed segregation distortion in the production of male and female gametes is selected for in the presence of overdominant fitness. The conditions are less restrictive than under panmixia in that strong selection can occur even without differential viability of reciprocal heterozygotes (i.e. in the absence of parent-of-origin effects at the overdominant fitness locus). Generalized equilibria are derived for full selfing.

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来源期刊
Theoretical Population Biology
Theoretical Population Biology 生物-进化生物学
CiteScore
2.50
自引率
14.30%
发文量
43
审稿时长
6-12 weeks
期刊介绍: An interdisciplinary journal, Theoretical Population Biology presents articles on theoretical aspects of the biology of populations, particularly in the areas of demography, ecology, epidemiology, evolution, and genetics. Emphasis is on the development of mathematical theory and models that enhance the understanding of biological phenomena. Articles highlight the motivation and significance of the work for advancing progress in biology, relying on a substantial mathematical effort to obtain biological insight. The journal also presents empirical results and computational and statistical methods directly impinging on theoretical problems in population biology.
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