Variation in thermal traits describing sex determination and development in Western Australian sea turtle populations
Variation in thermal traits describing sex determination and development in Western Australian sea turtle populations
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DOI：
10.1111/1365-2435.13645
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发表时间：
2020-08-13
影响因子：
5.2
通讯作者：
Mitchell, Nicola J.
中科院分区：
文献类型：
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作者：
Bentley, Blair P.;Stubbs, Jessica L.;Mitchell, Nicola J.
海龟胚胎的发育率和性别都取决于孵化温度，因为所有种类的海龟都是体温较低的动物，并表现出依赖温度的性别决定(TSD)。理论预测，选择应该作用于种群，以优化发育时间和初级性别比。在这项研究中，我们使用一致的方法来测量发育速度，并对定义TSD的三个群体的反应标准进行建模，这些群体包括西澳大利亚的三个群体游泳者和两个群体的绿海龟。我们发现，物种间和物种内的发育速度不同，可能反映了对当地海滩小气候的适应。同样，定义TSD反应规范的参数在两个物种之间以及在n之间也不同。低密度种群，关键温度(T-PIV)变化1.5摄氏度(29.6-31.1摄氏度)，过渡温度范围(TRT)变化1.4-3.3摄氏度。相反，我们发现TWOC的T(PIV)类似。Mydas种群，但在最北端的热带雏鸟的TRT更大。我们的发现支持这样的观点，即地理上分离的海龟种群的温度参数大致相似，但我们描述的变化将与预测种群如何应对气候变化高度相关。免费的简单语言摘要可以在本文的支持信息中找到。
Both the development rate and sex of sea turtle embryos depend on incubation temperature, as all species of sea turtle are ectotherms and show temperature-dependent sex determination (TSD). Theory predicts that selection should act on populations to optimize developmental times and primary sex ratios. In this study, we use a consistent methodology to measure development rates and model the reaction norm that defines TSD in three populations of flatback turtlesNatator depressusand two populations of green turtlesChelonia mydasthat nest in Western Australia. We show that development rates vary between and within species, likely reflecting adaptation to local beach microclimates. Similarly, the parameters that define the TSD reaction norm vary between the two species, and amongN. depressuspopulations, with pivotal temperatures (T-PIV) varying by 1.5 degrees C (29.6-31.1 degrees C), and the transitional ranges of temperatures (TRT) varying by 1.4-3.3 degrees C. In contrast, we found a similarT(PIV)for the twoC. mydaspopulations, but a wider TRT at the northernmost tropical rookery. Our findings support the view that thermal parameters in geographically separated populations of sea turtles are broadly similar, but the variation we describe will be highly relevant for predicting how populations will respond to climate change. A freePlain Language Summarycan be found within the Supporting Information of this article.