Understanding and quantifying populations' adaptive genetic variation and their response to climate change are critical to reforestation's seed source selection, forest management decisions, and gene conservation. Landscape genomics combined with geographic and environmental information provide an opportunity to interrogate forest populations' genome‐wide variation for understanding the extent to which evolutionary forces shape past and contemporary populations' genetic structure, and identify those populations that may be most at risk under future climate change. Here, we used genotyping by sequencing to generate over 11,000 high‐quality variants from Platycladus orientalis range‐wide collection to evaluate its diversity and to predict genetic offset under future climate scenarios. Platycladus orientalis is a widespread conifer in China with significant ecological, timber, and medicinal values. We found population structure and evidences of isolation by environment, indicative of adaptation to local conditions. Gradient forest modeling identified temperature‐related variables as the most important environmental factors influencing genetic variation and predicted areas with higher risk under future climate change. This study provides an important reference for forest resource management and conservation for P. orientalis.

中文翻译：

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景观基因组学预测广泛分布的侧柏（柏科）与气候变化相关的遗传偏移


了解和量化种群的适应性遗传变异及其对气候变化的反应对于重新造林的种子来源选择、森林管理决策和基因保护至关重要。景观基因组学与地理和环境信息相结合，提供了一个机会来询问森林种群的全基因组变异，以了解进化力量在多大程度上塑造过去和当代种群的遗传结构，并确定那些在未来气候下可能面临最大风险的种群。改变。在这里，我们通过测序进行基因分型，从侧柏范围内收集了超过 11,000 个高质量变异，以评估其多样性并预测未来气候情景下的遗传偏移。侧柏是我国广泛分布的针叶树，具有重要的生态、木材和药用价值。我们发现了人口结构和环境隔离的证据，表明对当地条件的适应。梯度森林模型将与温度相关的变量确定为影响遗传变异的最重要的环境因素，并预测未来气候变化下风险较高的区域。该研究为侧柏森林资源管理和保护提供了重要参考。