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温度依赖型性别决定物种的初级性别比的测量和建模。

Measurement and modelling of primary sex ratios for species with temperature-dependent sex determination.

机构信息

Department of Ecology and Evolutionary Biology, University of Toronto, 25 Willcocks Street, Toronto, ON M5S 3B2, Canada

Department of Integrative Biology, University of Guelph, Guelph, ON N1G 2W1, Canada.

出版信息

J Exp Biol. 2019 Jan 3;222(Pt 1):jeb190215. doi: 10.1242/jeb.190215.

Abstract

For many oviparous animals, incubation temperature influences sex through temperature-dependent sex determination (TSD). Although climate change may skew sex ratios in species with TSD, few available methods predict sex under natural conditions, fewer still are based on mechanistic hypotheses of development, and field tests of existing methods are rare. We propose a new approach that calculates the probability of masculinization (PM) in natural nests. This approach subsumes the mechanistic hypotheses describing the outcome of TSD, by integrating embryonic development with the temperature-dependent reaction norm for sex determination. Further, we modify a commonly used method of sex ratio estimation, the constant temperature equivalent (CTE), to provide quantitative estimates of sex ratios. We test our new approaches using snapping turtles (). We experimentally manipulated nests in the field, and found that the PM method is better supported than the modified CTE, explaining 69% of the variation in sex ratios across 27 semi-natural nests. Next, we used the PM method to predict variation in sex ratios across 14 natural nests over 2 years, explaining 67% of the variation. We suggest that the PM approach is effective and broadly applicable to species with TSD, particularly for forecasting how sex ratios may respond to climate change. Interestingly, we also found that the modified CTE explained up to 64% of variation in sex ratios in a Type II TSD species, suggesting that our modifications will be useful for future research. Finally, our data suggest that the Algonquin Park population of snapping turtles possesses resilience to biased sex ratios under climate change.

摘要

对于许多卵生动物来说,孵化温度通过温度依赖型性别决定(TSD)影响性别。尽管气候变化可能会使具有 TSD 的物种的性别比例发生偏差,但很少有可用的方法可以预测自然条件下的性别,更少的方法是基于发育的机制假设,而且现有的方法很少进行野外测试。我们提出了一种新的方法,即计算自然巢中雄性化的概率(PM)。该方法通过将胚胎发育与性别决定的温度依赖反应规范相结合,包含了描述 TSD 结果的机制假设。此外,我们修改了一种常用的性别比例估计方法,即恒温等效(CTE),以提供性别比例的定量估计。我们使用 snapping 龟(Chelydra serpentina)来测试我们的新方法。我们在野外实验性地操纵巢穴,并发现 PM 方法比修改后的 CTE 更受支持,解释了 27 个半自然巢中性别比例变化的 69%。接下来,我们使用 PM 方法来预测 2 年中 14 个自然巢中性别比例的变化,解释了 67%的变化。我们认为 PM 方法是有效的,并且广泛适用于具有 TSD 的物种,特别是用于预测性别比例可能如何应对气候变化。有趣的是,我们还发现修改后的 CTE 可以解释具有 II 型 TSD 物种的性别比例变化的 64%,这表明我们的修改将对未来的研究有用。最后,我们的数据表明,在气候变化下,阿尔冈昆公园的 snapping 龟种群具有性别比例偏差的恢复力。

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