Naturally segregating genetic variation in circadian period exhibits a regional elevational and climatic cline

Naturally segregating genetic variation in circadian period exhibits a regional elevational and climatic cline
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DOI:
10.1111/pce.14377
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发表时间:
2022-06-23
影响因子:
7.3
通讯作者:
Weinig, Cynthia
Weinig, Cynthia
中科院分区:
生物学1区
文献类型:
--
作者:
McMinn, Rob;Salmela, Matti J.;Weinig, Cynthia

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昼夜节律钟赋予适应可预测的24小时波动在外源环境中,但它还有待确定什么生态因素保持自然的遗传变异的内源性昼夜节律周期以外的假设最佳的24小时。我们估计的数量遗传变异的昼夜节律的叶片运动在30个自然种群的拟南芥相对Boechera stricta采样内只有1度的纬度,但跨越海拔梯度跨越2460-3300米的落基山脉。测量类似的3800株植物从473个母系家庭(7-20每个人口),我们发现,遗传变异是相似的幅度之间与人口内,与人口的平均值之间的变化21.9和24.9小时和母系家庭的人口内的平均值变化高达6小时。在统计上占空间自相关的栖息地极端后,我们发现,海拔解释了一个显着比例的遗传变异的昼夜节律周期,海拔较高的人口有较短的平均周期长度和减少种群内的范围。环境数据表明,这些空间趋势可能与温度、降水及其年内变化的陡峭区域气候梯度有关。我们的研究结果表明,空间细粒度的环境异质性有助于自然发生的遗传变异的昼夜节律性状在野生种群。
Circadian clocks confer adaptation to predictable 24-h fluctuations in the exogenous environment, but it has yet to be determined what ecological factors maintain natural genetic variation in endogenous circadian period outside of the hypothesized optimum of 24 h. We estimated quantitative genetic variation in circadian period in leaf movement in 30 natural populations of the Arabidopsis relative Boechera stricta sampled within only 1 degrees of latitude but across an elevation gradient spanning 2460-3300 m in the Rocky Mountains. Measuring similar to 3800 plants from 473 maternal families (7-20 per population), we found that genetic variation was of similar magnitude among versus within populations, with population means varying between 21.9 and 24.9 h and maternal family means within populations varying by up to similar to 6 h. After statistically accounting for spatial autocorrelation at a habitat extreme, we found that elevation explained a significant proportion of genetic variation in the circadian period, such that higher-elevation populations had shorter mean period lengths and reduced intrapopulation ranges. Environmental data indicate that these spatial trends could be related to steep regional climatic gradients in temperature, precipitation, and their intra-annual variability. Our findings suggest that spatially fine-grained environmental heterogeneity contributes to naturally occurring genetic variation in circadian traits in wild populations.