Lu Yang, Dong Hao, Fan Saibin, Yuan Lu, Wang Yuhui, Zhao Zhuang, Lai Yong, Zhu Shixin, Huang Jinyong, Yue Caipeng, Ma Yongpeng, Zhang Ningning
School of Life Sciences Zhengzhou University Zhengzhou China.
Henan Funiu Mountain Biological and Ecological Environment Observatory Zhengzhou University Zhengzhou China.
Evol Appl. 2025 May 14;18(5):e70113. doi: 10.1111/eva.70113. eCollection 2025 May.
Rapid climate change is affecting biodiversity and threatening locally adapted species. Relict species are often confined to relatively narrow, discontinuous geographic ranges and provide excellent opportunities to study local adaptation and extinction. Understanding the adaptive genetic variation and genetic vulnerability of relict species under climate change is essential for their conservation and management efforts. Here, we applied a landscape genomics approach to investigate the population genetic structure and predict adaptive capacity to climatic change for Hayata, a vulnerable Tertiary relict tree species in China. We used restriction site-associated DNA sequencing on 122 individuals across 10 sampling sites. We found three genetic groups across the Chinese range of : the southwest, central-eastern, and Taiwanese groups. We detected significant signals of isolation by environment and isolation by distance, with environment playing a more important role than geography in shaping spatial genetic variation in . Moreover, some outliers were related to defense and stress responses, which could reflect the genomic basis of adaptation. Gradient forest (GF) analysis revealed that precipitation-related variables were important in driving adaptive variation in . Ecological niche modeling and GF analysis revealed that the central-eastern populations were more vulnerable to future climate change than other populations, with range contractions and high genetic offsets, suggesting these populations may be at higher risk of decline or local extinction. These findings deepen our understanding of local adaptation and vulnerability to climate change in relict tree species and will guide conservation and restoration programs for in the future.
快速的气候变化正在影响生物多样性,并威胁到本地适应的物种。残遗物种通常局限于相对狭窄、不连续的地理范围,为研究本地适应和灭绝提供了绝佳机会。了解气候变化下残遗物种的适应性遗传变异和遗传脆弱性对于它们的保护和管理工作至关重要。在此,我们应用景观基因组学方法来研究中国一种脆弱的第三纪残遗树种——玉山云杉(Picea morrisonicola Hayata)的种群遗传结构,并预测其对气候变化的适应能力。我们对来自10个采样地点的122个个体进行了限制性位点关联DNA测序。我们在中国范围内发现了玉山云杉的三个遗传组:西南组、中东部组和台湾组。我们检测到了环境隔离和距离隔离的显著信号,在塑造玉山云杉的空间遗传变异方面,环境比地理因素发挥着更重要的作用。此外,一些异常值与防御和应激反应有关,这可能反映了适应的基因组基础。梯度森林(GF)分析表明,与降水相关的变量在驱动玉山云杉的适应性变异方面很重要。生态位建模和GF分析表明,中东部种群比其他种群更容易受到未来气候变化的影响,其分布范围收缩且遗传偏移较高,这表明这些种群可能面临更高的衰退或局部灭绝风险。这些发现加深了我们对残遗树种本地适应和对气候变化脆弱性的理解,并将指导未来玉山云杉的保护和恢复计划。