Nukazawa Kei, Chiu Ming-Chih, Kazama So, Watanabe Kozo
Department of Civil and Environmental Engineering, Faculty of Engineering, University of Miyazaki, Gakuen Kibanadai-nishi 1-1, Miyazaki 889-2192, Japan.
Center for Marine Environmental Studies (CMES), Ehime University, Bunkyo-cho 3, Matsuyama 790-8577, Japan; State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430061, China.
Sci Total Environ. 2023 May 10;872:162258. doi: 10.1016/j.scitotenv.2023.162258. Epub 2023 Feb 16.
Freshwater biodiversity undergoes degradation due to climate change. Researchers have inferred the effects of climate change on neutral genetic diversity, assuming the fixed spatial distributions of alleles. However, the adaptive genetic evolution of populations that may change the spatial distribution of allele frequencies along environmental gradients (i.e., evolutionary rescue) have largely been overlooked. We developed a modeling approach that projects the comparatively adaptive and neutral genetic diversities of four stream insects, using empirical neutral/ putative adaptive loci, ecological niche models (ENMs), and a distributed hydrological-thermal simulation at a temperate catchment under climate change. The hydrothermal model was used to generate hydraulic and thermal variables (e.g., annual current velocity and water temperature) at the present and the climatic change conditions, projected based on the eight general circulation models and the three representative concentration pathways scenarios for the two future periods (2031-2050, near future; 2081-2100, far future). The hydraulic and thermal variables were used for predictor variables of the ENMs and adaptive genetic modeling based on machine learning approaches. The increases in annual water temperature in the near- (+0.3-0.7 °C) and far-future (+0.4-3.2 °C) were projected. Of the studied species, with different ecologies and habitat ranges, Ephemera japonica (Ephemeroptera) was projected to lose rear-edge habitats (i.e., downstream) but retain the adaptive genetic diversity owing to evolutionary rescue. In contrast, the habitat range of the upstream-dwelling Hydropsyche albicephala (Trichoptera) was found to remarkably decline, resulting in decreases in the watershed genetic diversity. While the other two Trichoptera species expanded their habitat ranges, the genetic structures were homogenized over the watershed and experienced moderate decreases in gamma diversity. The findings emphasize the evolutionary rescue potential, depending on the extent of species-specific local adaptation.
由于气候变化,淡水生物多样性正在退化。研究人员在假设等位基因具有固定空间分布的情况下,推断了气候变化对中性遗传多样性的影响。然而,种群的适应性遗传进化可能会改变等位基因频率沿环境梯度的空间分布(即进化拯救),这在很大程度上被忽视了。我们开发了一种建模方法,利用经验性中性/假定适应性位点、生态位模型(ENMs)以及气候变化下温带流域的分布式水文-热力模拟,预测四种溪流昆虫的相对适应性和中性遗传多样性。水文热力模型用于生成当前和气候变化条件下的水力和热力变量(如年流速和水温),这些条件是基于八个通用环流模型和两种未来时期(2031 - 2050年,近期;2081 - 2100年,远期)的三种代表性浓度路径情景预测的。水力和热力变量被用作基于机器学习方法的ENMs和适应性遗传建模的预测变量。预计近期(+0.3 - 0.7°C)和远期(+0.4 - 3.2°C)年水温会升高。在所研究的具有不同生态和栖息地范围的物种中,日本蜉蝣(蜉蝣目)预计会失去后缘栖息地(即下游),但由于进化拯救而保留适应性遗传多样性。相比之下,发现上游栖息的白顶纹石蛾(毛翅目)的栖息地范围显著缩小,导致流域遗传多样性下降。虽然另外两种毛翅目物种扩大了它们的栖息地范围,但遗传结构在流域内变得同质化,并且伽马多样性略有下降。研究结果强调了进化拯救的潜力,这取决于物种特异性局部适应的程度。