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首页> 外文期刊>Philosophical Transactions of the Royal Society of London, Series B. Biological Sciences >Demographic and genetic consequences of disturbed sex determination
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Demographic and genetic consequences of disturbed sex determination

机译:干扰性别决定的人口和遗传后果

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摘要

During sex determination, genetic and/or environmental factors determine the cascade of processes of gonad development. Many organisms, therefore, have a developmental window in which their sex determination can be sensitive to, for example, unusual temperatures or chemical pollutants. Disturbed environments can distort population sex ratios and may even cause sex reversal in species with genetic sex determination. The resulting genotype-phenotype mismatches can have long-lasting effects on population demography and genetics. I review the theoretical and empirical work in this context and explore in a simple population model the role of the fitness v(yy) of chromosomally aberrant YY genotypes that are a consequence of environmentally induced feminization. Low v(yy) is mostly beneficial for population growth. During feminization, low v(yy) reduces the proportion of genetic males and hence accelerates population growth, especially at low rates of feminization and at high fitness costs of the feminization itself (i.e. when feminization would otherwise not affect population dynamics much). When sex reversal ceases, low v(yy) mitigates the negative effects of feminization and can even prevent population extinction. Little is known about v(yy) in natural populations. The available models now need to be parametrized in order to better predict the long-term consequences of disturbed sex determination.
机译:在性别决定过程中,遗传和/或环境因素决定性腺发育的级联过程。因此,许多生物体都有一个发育窗口,在这个窗口中,它们的性别决定可能对异常温度或化学污染物等敏感。受干扰的环境会扭曲种群性别比,甚至可能导致具有遗传性别决定的物种发生性别逆转。由此产生的基因型-表型错配可能对人口统计学和遗传学产生长期影响。我回顾了这方面的理论和实证工作,并在一个简单的群体模型中探讨了染色体异常yy基因型的适合度v(yy)的作用,这是环境诱导的女性化的结果。低v(yy)主要有利于人口增长。在女性化过程中,低v(yy)会降低遗传雄性的比例,从而加速种群增长,尤其是在女性化率较低且女性化本身的适应成本较高的情况下(即女性化不会对种群动态产生太大影响)。当性反转停止时,低v(yy)可以减轻女性化的负面影响,甚至可以防止种群灭绝。对自然种群中的v(yy)知之甚少。现有的模型现在需要参数化,以便更好地预测性别决定受到干扰的长期后果。

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