Delineation of genetic zones in the European Norway spruce natural range: preliminary evidence
Delineation of genetic zones in the European Norway spruce natural range: preliminary evidence
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DOI：
10.1046/j.1365-294x.2000.00946.x
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发表时间：
2000-07-01
影响因子：
4.9
通讯作者：
Vendramin, GG
中科院分区：
文献类型：
--
作者：
Bucci, G;Vendramin, GG
我们应用地统计学方法对95个欧洲挪威云杉种群的叶绿体简单重复序列（cpSSR）单倍型频率数据进行了分析，为以下问题提供了初步证据：（i）遗传同质区域的划分（ii）预测它们的单倍型频率，并确定适用于种源鉴定和种子园认证的相关标准;（三）确定推定的异地林分;（四）建设一个大陆规模的“可用性地图”的种内生物多样性的挪威云杉。获得了欧洲自然范围内大规模地理结构的直接证据，检测了地理分布和静止模式。平均遗传分化的地理距离（约1800公里）的增加提供了一个强烈的暗示，地理距离是一个主要的因素分化在挪威云杉。单倍型频率表面，通过应用普通克里格采样频率数据。对单倍型频率曲面进行聚类分析，发现16个遗传带之间具有较好的区分度，准确度为0.916。对预测的平均单倍型频率进行树状图分析，证实所检测的遗传带具有较好的可分离性。通过判别分析对种群进行重新分类，证实了所获得的遗传细分的稳健性。结合判别分析和交叉验证的采样点的信息，三个人口可能是非本地的起源被确定。地统计学分析遗传标记数据的应用进行了讨论，育种活动和制定适当的保护策略。
We applied geostatistics to previously reported chloroplast simple sequence repeats (cpSSR) haplotype frequency data from 95 European Norway spruce populations to provide preliminary evidence about the following issues: (i) delineation of genetically homogeneous regions ('genetic zones'); (ii) prediction of their haplotype frequencies and definition of related criteria to be applied for provenance identification and certification of seedlots; (iii) identification of putative allochthonous stands; and (iv) construction of a continental-scale 'availability map' of the intraspecific biodiversity for Norway spruce. Direct evidence of large-scale geographical structure over the European natural range was obtained, detecting both geographical dines and stationary patterns. The increase of the mean genetic divergence by geographical distance (up to approximately 1800 km apart) provided a strong hint that geographical distance is a major factor of differentiation in Norway spruce. Haplotype frequency surfaces were obtained by applying ordinary kriging to sampling frequency data. Cluster analysis carried out on haplotype frequency surfaces revealed a fair discrimination among 16 genetic zones, with an accuracy of 0.916, Dendrogram analysis carried out on the predicted mean haplotype frequency confirmed a fairly goad separability of the genetic zones detected. Reclassification of populations by discriminant analysis confirmed the robustness of the genetic subdivision obtained. Combining the information from discriminant analysis and cross-validation of sampling points, three populations likely to be of nonlocal origin were identified. The application of geostatistical analysis to genetic marker data is discussed in relation to breeding activities and to the formulation of appropriate conservation strategies.