the Department of Integrative Biology, University of Texas at Austin, 1 University Station, CO990, Austin, TX 78712.
J Hered. 2014 Mar-Apr;105(2):216-25. doi: 10.1093/jhered/est092. Epub 2013 Dec 13.
Complex interactions between topographic heterogeneity, climatic and environmental gradients, and thermal niche conservatism are commonly assumed to indicate the degree of biotic diversification in montane regions. Our aim was to investigate factors that disrupt gene flow between populations and to determine if there is evidence of downslope asymmetric migration in highland frogs with wide elevational ranges and thermal niches. We determined the role of putative impediments to gene flow (as measured by least-cost path (LCP) distances, topographic complexity, and elevational range) in promoting genetic divergence between populations of 2 tropical Andean frog sister species (Dendropsophus luddeckei, N = 114; Dendropsophus labialis, N = 74) using causal modeling and multiple matrix regression. Although the effect of geographic features was species specific, elevational range and LCP distances had the strongest effect on gene flow, with mean effect sizes (Mantel r and regression coefficients β), between 5 and 10 times greater than topographic complexity. Even though causal modeling and multiple matrix regression produced congruent results, the latter provided more information on the contribution of each geographic variable. We found moderate support for downslope migration. We conclude that the climatic heterogeneity of the landscape, the elevational distance between populations, and the inability to colonize suboptimal habitats due to thermal niche conservatism influence the magnitude of gene flow. Asymmetric migration, however, seems to be influenced by life history traits.
地形异质性、气候和环境梯度以及热生态位保守性之间的复杂相互作用通常被认为是指示山地地区生物多样性程度的指标。我们的目的是研究破坏种群间基因流动的因素,并确定在具有广泛海拔范围和热生态位的高地青蛙中是否存在下坡不对称迁移的证据。我们确定了潜在的基因流动障碍(如最小成本路径 (LCP) 距离、地形复杂性和海拔范围)在促进 2 种热带安第斯蛙姐妹种(Dendropsophus luddeckei,N = 114;Dendropsophus labialis,N = 74)种群之间遗传分化中的作用,使用因果建模和多元矩阵回归。尽管地理特征的影响因物种而异,但海拔范围和 LCP 距离对基因流动的影响最大,平均效应大小(Mantel r 和回归系数β)比地形复杂性大 5 到 10 倍。尽管因果建模和多元矩阵回归产生了一致的结果,但后者提供了更多关于每个地理变量贡献的信息。我们发现了下坡迁移的适度支持。我们得出的结论是,景观的气候异质性、种群之间的海拔距离以及由于热生态位保守性而无法在次优栖息地中殖民化,影响了基因流动的程度。然而,不对称迁移似乎受到生活史特征的影响。