Jump Alistair S, Peñuelas Josep
Unitat d'Ecofisiologia CSIC-CEAB-CREAF, CREAF (Centre de Recerca Ecològica i Aplicacions Forestals), Universitat Autònoma de Barcelona, 08193, Bellaterra, Catalonia, Spain.
Mol Ecol. 2007 Mar;16(5):925-36. doi: 10.1111/j.1365-294X.2006.03203.x.
Studies of fine-scale spatial genetic structure (SGS) in wind-pollinated trees have shown that SGS is generally weak and extends over relatively short distances (less than 30-40 m) from individual trees. However, recent simulations have shown that detection of SGS is heavily dependent on both the choice of molecular markers and the strategy used to sample the studied population. Published studies may not always have used sufficient markers and/or individuals for the accurate estimation of SGS. To assess the extent of SGS within a population of the wind-pollinated tree Fagus sylvatica, we genotyped 200 trees at six microsatellite or simple sequence repeat (SSR) loci and 250 amplified fragment length polymorphisms (AFLP) and conducted spatial analyses of pairwise kinship coefficients. We re-sampled our data set over individuals and over loci to determine the effect of reducing the sample size and number of loci used for SGS estimation. We found that SGS estimated from AFLP markers extended nearly four times further than has been estimated before using other molecular markers in this species, indicating a persistent effect of restricted gene flow at small spatial scales. However, our SSR-based estimate was in agreement with other published studies. Spatial genetic structure in F. sylvatica and similar wind-pollinated trees may therefore be substantially larger than has been estimated previously. Although 100-150 AFLP loci and 150-200 individuals appear sufficient for adequately estimating SGS in our analysis, 150-200 individuals and six SSR loci may still be too few to provide a good estimation of SGS in this species.
对风媒传粉树木的精细尺度空间遗传结构(SGS)研究表明,SGS通常较弱,且从单株树木延伸的距离相对较短(小于30 - 40米)。然而,最近的模拟研究表明,SGS的检测很大程度上取决于分子标记的选择以及用于对研究群体进行采样的策略。已发表的研究可能并不总是使用足够的标记和/或个体来准确估计SGS。为了评估风媒传粉树木欧洲山毛榉种群内SGS的程度,我们对200棵树的六个微卫星或简单序列重复(SSR)位点以及250个扩增片段长度多态性(AFLP)进行了基因分型,并对成对亲缘系数进行了空间分析。我们对数据集在个体和位点上进行重新采样,以确定减少用于SGS估计的样本量和位点数的影响。我们发现,从AFLP标记估计的SGS延伸的距离几乎比此前在该物种中使用其他分子标记估计的距离远四倍,这表明在小空间尺度上基因流受限具有持续影响。然而,我们基于SSR的估计与其他已发表的研究结果一致。因此,欧洲山毛榉和类似风媒传粉树木的空间遗传结构可能比之前估计的要大得多。尽管在我们的分析中100 - 150个AFLP位点和150 - 200个个体似乎足以充分估计SGS,但150 - 200个个体和六个SSR位点可能仍然太少,无法对该物种的SGS进行良好估计。