Forecasting eco-evolutionary dynamics in the Northern Blue butterfly (Lycaeides idas)

Z. Gompert, L. Lucas
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Abstract

Natural selection can drive rapid evolutionary change, particularly in human-altered habitats. Rapid adaptation to global change requires standing genetic variation for ecologically important traits, but at present little is known about how much relevant genetic variation most populations possess. With this in mind, we began a long term study of genome-wide molecular evolution in a series of natural butterfly populations in the Greater Yellowstone Area (GYA) in 2012 to quantify the contribution of environment-dependent natural selection to evolution in these butterfly populations, and determine whether selection varies enough across space and time to maintain variation that could facilitate adaptation to global change. In 2018, we visited 11 focal populations to collect samples for DNA, estimate population sizes (using distance sampling and mark-release-recapture methods), and survey arthropod communities at the sites. Our analyses are ongoing, and this is a preliminary report, but thus far we have found that census population sizes are much higher than contemporary effective population sizes (though these metrics are highly correlated), and that both are independent of genetic diversity levels. These results are consistent with the hypothesis that selection plays a central role in eco-evolutionary dynamics in this system.   Featured photo from Figure 1 in report.
北蓝蝶生态进化动态预测
自然选择可以推动快速的进化变化,特别是在人类改变的栖息地。快速适应全球变化需要具有重要生态特征的遗传变异,但目前对大多数种群具有多少相关遗传变异知之甚少。考虑到这一点,我们于2012年开始对大黄石地区(GYA)的一系列天然蝴蝶种群进行全基因组分子进化的长期研究,以量化环境依赖性自然选择对这些蝴蝶种群进化的贡献,并确定选择是否在空间和时间上有足够的变化,以维持能够促进适应全球变化的变异。2018年,我们访问了11个焦点种群,收集DNA样本,估计种群规模(使用距离采样和标记释放-重新捕获方法),并调查现场的节肢动物群落。我们的分析正在进行中,这是一份初步报告,但到目前为止,我们发现人口普查人口规模远远高于当代有效人口规模(尽管这些指标高度相关),而且两者都独立于遗传多样性水平。这些结果与选择在这个系统的生态进化动力学中起核心作用的假设是一致的。报告中的特色照片来自图1。
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