Plant Genetics Institute, National Research Council, Sesto Fiorentino, Italy ; Dipartimento di Bioscienze, Università di Parma, Parma, Italy.
PLoS One. 2013 Sep 5;8(9):e73391. doi: 10.1371/journal.pone.0073391. eCollection 2013.
The fine-scale assessment of both spatially and non-spatially distributed genetic variation is crucial to preserve forest genetic resources through appropriate forest management. Cryptic within-population genetic structure may be more common than previously thought in forest tree populations, which has strong implications for the potential of forests to adapt to environmental change. The present study was aimed at comparing within-population genetic structure in European beech (Fagus sylvatica L.) plots experiencing different disturbance levels. Five plot pairs made up by disturbed and undisturbed plots having the same biogeographic history were sampled throughout Europe. Overall, 1298 individuals were analyzed using four highly polymorphic nuclear microsatellite markers (SSRs). Bayesian clustering within plots identified 3 to 11 genetic clusters (within-plot θ ST ranged from 0.025 to 0.124). The proportion of within-population genetic variation due to genetic substructuring (F CluPlot = 0.067) was higher than the differentiation among the 10 plots (F PlotTot = 0.045). Focusing on the comparison between managed and unmanaged plots, disturbance mostly explains differences in the complexity of within-population genetic structure, determining a reduction of the number of genetic clusters present in a standardized area. Our results show that: i) genetic substructuring needs to be investigated when studying the within-population genetic structure in forest tree populations, and ii) indices describing subtle characteristics of the within-population genetic structure are good candidates for providing early signals of the consequences of forest management, and of disturbance events in general.
精细评估空间和非空间分布的遗传变异对于通过适当的森林管理来保护森林遗传资源至关重要。在森林树种群体中,隐蔽的种群内遗传结构可能比以前认为的更为普遍,这对森林适应环境变化的潜力有很大影响。本研究旨在比较经历不同干扰水平的欧洲山毛榉(Fagus sylvatica L.)林分的种群内遗传结构。在整个欧洲,通过由受干扰和未受干扰的林分组成的五个林分对来采样。总共分析了 1298 个个体,使用了四个高度多态性的核微卫星标记(SSR)。在林分内进行贝叶斯聚类,确定了 3 到 11 个遗传聚类(林分内的θ ST 值在 0.025 到 0.124 之间)。由于遗传亚结构导致的种群内遗传变异比例(F CluPlot = 0.067)高于 10 个林分之间的分化(F PlotTot = 0.045)。专注于管理和未管理林分之间的比较,干扰主要解释了种群内遗传结构复杂性的差异,确定了标准化区域内存在的遗传聚类数量减少。我们的结果表明:i)在研究森林树种种群的种群内遗传结构时需要调查遗传亚结构,ii)描述种群内遗传结构细微特征的指数是提供森林管理后果以及一般干扰事件早期信号的良好候选者。