High genetic similarity between Polish and North European Scots pine (Pinus sylvestris L.) populations at nuclear gene loci
High genetic similarity between Polish and North European Scots pine (Pinus sylvestris L.) populations at nuclear gene loci
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波兰和北欧樟子松 (Pinus sylvestris L.) 种群在核基因位点上具有高度遗传相似性
DOI：
10.1007/s11295-014-0739-8
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发表时间：
2014
影响因子：
2.4
通讯作者：
Wachowiak W
中科院分区：
文献类型：
--
作者：
Wachowiak W
在一组32个核基因的核苷酸多态性进行了研究，在19个山区，泥炭沼泽和低地人口的苏格兰松代表已知的表型种族和人口的推测残遗性状的物种在波兰。在29个基因上，将遗传变异模式与来自北方、西欧和南欧的11个参考群体进行比较。在波兰人群（π tot = 0.0055，D =-0.308）中观察到类似水平的核苷酸多态性和过量的低频突变，并与参考样本（π tot = 0.0054，D =-0.170）进行比较。贝叶斯分配和传统的基于频率的统计表明，波兰人口在分析的核基因标记共享相同的遗传背景。然而，与其他地区的人群相比，这些人群与北欧样本的遗传关系更为密切。在非常统一的遗传背景的人口，我们确定了几个基因与离群模式的单倍型，多态性频率变化和偏离化合物中性测试。我们的数据表明，苏格兰松分布的中欧和北欧部分似乎特别适合关联遗传研究，在大的地理范围内连接表型和遗传变异。
Nucleotide polymorphisms in a set of 32 nuclear genes were studied in 19 mountain, peatbog and lowland populations of Scots pine representing known phenotypic races and populations of presumably relict character for the species in Poland. At 29 genes, the pattern of genetic variation was compared to 11 reference populations from Northern, Western and Southern Europe. Similar levels of nucleotide polymorphism and excess of low-frequency mutations were observed in Polish populations (πtot= 0.0055,D= −0.308) and as compared to the reference samples (πtot= 0.0054,D= −0.170). Bayesian assignment and conventional frequency-based statistics indicate that Polish populations share the same genetic background at the analysed nuclear gene markers. However, the populations showed a much closer genetic relationship with North European samples than other regional groups of populations. Across the very uniform genetic background of the populations, we identified several genes with outlier patterns of haplotype, polymorphism frequency variation and departures from compound neutrality tests. Our data indicate that the Central and North European parts of the Scots pine distribution seem particularly suitable for association genetic studies to link phenotypic and genetic variation at a large geographical scale.
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影响因子：
10.7
作者：
M. Lynch;T. Crease
通讯作者：
M. Lynch;T. Crease
影响因子：
3.3
作者：
Pyhajarvi, Tanja;Garcia-Gil, M. Rosario;Savolainen, Outi
通讯作者：
Savolainen, Outi
影响因子：
3.8
作者：
Derory, J.;Scotti-Saintagne, C.;Kremer, A.
通讯作者：
Kremer, A.
影响因子：
6.3
作者：
Belviso, Sauveur;Reiter, Ilja Marco;Genty, Bernard
通讯作者：
Genty, Bernard
将过程与跨景观的遗传变异模式联系起来
DOI：
--
发表时间：
2004
期刊：
影响因子：
--
作者：
R. Latta
通讯作者：
R. Latta