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Environment-dependent pleiotropic effects of mutations on the maximum growth rate r and carrying capacity K of population growth

机译:突变对环境的多效性对最大增长率r和种群增长的承载能力K的影响

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摘要

Maximum growth rate per individual (r) and carrying capacity (K) are key life-history traits that together characterize the density-dependent population growth and therefore are crucial parameters of many ecological and evolutionary theories such as r/K selection. Although r and K are generally thought to correlate inversely, both r/K tradeoffs and trade-ups have been observed. Nonetheless, neither the conditions under which each of these relationships occur nor the causes of these relationships are fully understood. Here, we address these questions using yeast as a model system. We estimated r and K using the growth curves of over 7,000 yeast recombinants in nine environments and found that the r–K correlation among genotypes changes from 0.53 to −0.52 with the rise of environment quality, measured by the mean r of all genotypes in the environment. We respectively mapped quantitative trait loci (QTLs) for r and K in each environment. Many QTLs simultaneously influence r and K, but the directions of their effects are environment dependent such that QTLs tend to show concordant effects on the two traits in poor environments but antagonistic effects in rich environments. We propose that these contrasting trends are generated by the relative impacts of two factors—the tradeoff between the speed and efficiency of ATP production and the energetic cost of cell maintenance relative to reproduction—and demonstrate an agreement between model predictions and empirical observations. These results reveal and explain the complex environment dependency of the rK relationship, which bears on many ecological and evolutionary phenomena and has biomedical implications.
机译:每个人的最大增长率(r)和承载力(K)是关键的生命历史特征,这些特征共同构成了依赖密度的人口增长特征,因此是许多生态和进化理论(例如r / K选择)的关键参数。尽管通常认为r和K呈反相关,但已观察到r / K的权衡和权衡。但是,对于这些关系中的每一个发生的条件或这些关系的原因,都没有完全了解。在这里,我们使用酵母作为模型系统来解决这些问题。我们使用了7,000种酵母重组体在9个环境中的生长曲线估算了r和K,发现随着环境质量的提高,基因型之间的r–K相关性从0.53变为-0.52,该值由环境中所有基因型的平均值r来衡量。环境。我们分别绘制了每个环境中r和K的数量性状基因座(QTL)。许多QTL同时影响r和 K ,但其作用方向与环境有关,因此QTL在恶劣环境下倾向于对这两个性状表现出一致的影响,而在富裕环境下则表现出拮抗作用。我们认为,这些相反的趋势是由两个因素的相对影响所产生的— ATP生产的速度和效率之间的权衡与相对于繁殖的细胞维持的能量成本—并证明了模型预测与实证观察之间的一致性。这些结果揭示并解释了 r K 关系的复杂环境依赖性,这种关系具有许多生态和进化现象,并具有生物医学意义。

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