Su Yingjuan, Liu Li, Deng Qi, Lü Zhuyan, Wang Zhen, He Ziqing, Wang Ting
School of Life Sciences Sun Yat-sen University Guangzhou China.
Research Institute of Sun Yat-sen University in Shenzhen Shenzhen China.
Ecol Evol. 2023 Sep 10;13(9):e10511. doi: 10.1002/ece3.10511. eCollection 2023 Sep.
Whether conifers can withstand environmental changes especially temperature fluctuations has been controversial. Epigenetic analysis may provide new perspectives for solving the issue. is an endangered gymnosperm species endemic to China. In this study, we have examined the genetic and epigenetic variations in its natural populations aiming to disentangle the synergistic effects of climate and soil on its population (epi)genetic differentiation by using amplified fragment length polymorphism (AFLP) and methylation-sensitive AFLP (MSAP) techniques. We identified 23 AFLP and 26, 7, and 5 MSAP outliers in . Twenty-one of the putative adaptive AFLP loci were found associated with climate and/or soil variables including precipitation, temperature, K, Fe, Zn, and Cu, whereas 21, 7, and 4 MSAP outliers were significantly related to precipitation of wettest month (Bio13), precipitation driest of month (Bio14), percent tree cover (PTC), and soil Fe, Mn, and Cu compositions. Total precipitation and precipitation in the driest seasons were the most influential factors for genetic and epigenetic variation, respectively. In addition, a high full-methylation level and a strong correlation between genetic and epigenetic variation were detected in . Climate is found of greater importance than soil in shaping adaptive (epi)genetic differentiation, and the synergistic effects of climate and climate-soil variables were also observed. The identified climate and soil variables should be considered when applying ex situ conservation.
针叶树是否能够抵御环境变化,尤其是温度波动,一直存在争议。表观遗传学分析可能为解决这一问题提供新的视角。[物种名称]是中国特有的一种濒危裸子植物。在本研究中,我们通过扩增片段长度多态性(AFLP)和甲基化敏感扩增片段长度多态性(MSAP)技术,研究了其天然种群中的遗传和表观遗传变异,旨在厘清气候和土壤对其种群(表观)遗传分化的协同作用。我们在[物种名称]中鉴定出23个AFLP以及26个、7个和5个MSAP异常位点。发现21个推定的适应性AFLP位点与气候和/或土壤变量相关,包括降水、温度、钾、铁、锌和铜,而21个、7个和4个MSAP异常位点分别与最湿润月份的降水量(Bio13)、最干燥月份的降水量(Bio14)、树木覆盖百分比(PTC)以及土壤铁、锰和铜成分显著相关。总降水量和最干燥季节的降水量分别是遗传和表观遗传变异的最具影响力因素。此外,在[物种名称]中检测到较高的全甲基化水平以及遗传和表观遗传变异之间的强相关性。在塑造适应性(表观)遗传分化方面,气候比土壤更为重要,并且还观察到了气候与气候 - 土壤变量的协同作用。在应用迁地保护时,应考虑已确定的气候和土壤变量。