Department of Genetics, Faculty of Biological Sciences, Kazimierz Wielki University, Chodkiewicza 30, 85-064, Bydgoszcz, Poland.
Institute of Dendrology, Polish Academy of Sciences, Parkowa 5, 62-035, Kórnik, Poland.
BMC Genomics. 2024 Jan 19;25(1):78. doi: 10.1186/s12864-023-09897-y.
Local adaptation is a key evolutionary process that enhances the growth of plants in their native habitat compared to non-native habitats, resulting in patterns of adaptive genetic variation across the entire geographic range of the species. The study of population adaptation to local environments and predicting their response to future climate change is important because of climate change.
Here, we explored the genetic diversity of candidate genes associated with bud burst in pedunculate oak individuals sampled from 6 populations in Poland. Single nucleotide polymorphism (SNP) diversity was assessed in 720 candidate genes using the sequence capture technique, yielding 18,799 SNPs. Using landscape genomic approaches, we identified 8 F outliers and 781 unique SNPs in 389 genes associated with geography, climate, and phenotypic variables (individual/family spring and autumn phenology, family diameter at breast height (DBH), height, and survival) that are potentially involved in local adaptation. Then, using a nonlinear multivariate model, Gradient Forests, we identified vulnerable areas of the pedunculate oak distribution in Poland that are at risk from climate change.
The model revealed that pedunculate oak populations in the eastern part of the analyzed geographical region are the most sensitive to climate change. Our results might offer an initial evaluation of a potential management strategy for preserving the genetic diversity of pedunculate oak.
与非本地生境相比，本地适应是一种关键的进化过程，它可以增强植物在其原生栖息地的生长，从而导致物种整个地理分布范围内的适应性遗传变异模式。由于气候变化，研究种群对当地环境的适应以及预测它们对未来气候变化的反应非常重要。
在这里，我们探索了来自波兰 6 个种群的朴树个体与芽膨开展开相关的候选基因的遗传多样性。使用序列捕获技术评估了 720 个候选基因中的单核苷酸多态性（SNP）多样性，产生了 18799 个 SNP。使用景观基因组学方法，我们在 389 个与地理、气候和表型变量（个体/家庭春季和秋季物候、家庭胸径（DBH）、高度和存活率）相关的基因中鉴定了 8 个 F 离群值和 781 个独特的 SNP，这些基因可能参与了本地适应。然后，我们使用非线性多元模型 Gradient Forests ，鉴定了波兰境内易受气候变化影响的欧洲山毛榉分布的脆弱地区。
该模型表明，分析地理区域东部的欧洲山毛榉种群对气候变化最为敏感。我们的结果可能为保护欧洲山毛榉遗传多样性的潜在管理策略提供初步评估。
