Li Yi-Shao, Liao Pei-Chun, Chang Chung-Te, Hwang Shih-Ying
School of Life Science, National Taiwan Normal University, 88 Tingchow Road, Section 4, Taipei 11677, Taiwan.
Department of Life Science, Tunghai University, 1727 Taiwan Boulevard, Section 4, Taichung 40704, Taiwan.
Plants (Basel). 2022 Sep 23;11(19):2490. doi: 10.3390/plants11192490.
Ecological and evolutionary processes linking adaptation to environment are related to species' range shifts. In this study, we employed amplified-fragment-length-polymorphism-based genome scan methods to identify candidate loci among populations inhabiting varying environments distributed at low to middle elevations (143-1488 m) in a narrow latitudinal range (between 21.90 and 25.30° N). Here, we show evidence of selection driving the divergence of . Twenty-six outliers were detected, which were significantly correlated with various environmental variables. The allele frequencies of nine outliers were either positively or negatively correlated with the population mean . Using several independent approaches, we found environmental variables act in a combinatorial fashion, best explaining outlier genetic variation. Nonetheless, we found that adaptive divergence was affected mostly by annual temperature range, and it is significantly positively correlated with latitude and significantly negatively correlated with the population mean . This study addresses a latitudinal pattern of changes in annual temperature range (which ranged from 13.8 °C in the Lanyu population to 18.5 °C in the Wulai population) and emphasizes the pattern of latitudinal population divergence closely linked to the allele frequencies of adaptive loci, acting in a narrow latitudinal range. Our results also indicate environmentally dependent local adaptation for both leading- and trailing-edge populations.
将适应与环境联系起来的生态和进化过程与物种的范围转移有关。在本研究中，我们采用基于扩增片段长度多态性的基因组扫描方法，在分布于狭窄纬度范围（北纬21.90至25.30°之间）低至中海拔（143 - 1488米）的不同环境中的种群中识别候选基因座。在此，我们展示了选择驱动[具体内容缺失]分化的证据。检测到26个异常值，它们与各种环境变量显著相关。9个异常值的等位基因频率与种群均值呈正相关或负相关。使用几种独立的方法，我们发现环境变量以组合方式起作用，能最好地解释异常值遗传变异。尽管如此，我们发现适应性分化主要受年温度范围影响，它与纬度显著正相关，与种群均值显著负相关。本研究探讨了年温度范围的纬度变化模式（从兰屿种群的13.8°C到乌来种群的18.5°C），并强调了在狭窄纬度范围内与适应性基因座等位基因频率密切相关的纬度种群分化模式。我们的结果还表明前沿和边缘种群都存在环境依赖的局部适应性。
