Genetic Diversity and Population Structure of Acacia senegal (L) Willd. in Kenya
Genetic Diversity and Population Structure of Acacia senegal (L) Willd. in Kenya
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塞内加尔金合欢 (L) Willd 的遗传多样性和种群结构。
DOI：
10.1007/s12042-009-9037-2
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发表时间：
2010
影响因子：
2
通讯作者：
D. Khasa
中科院分区：
文献类型：
--
作者：
S. Omondi;E. Kireger;O. G. Dangasuk;B. Chikamai;D. Odee;S. Cavers;D. Khasa
利用7个多态性核微卫星位点和2个叶绿体微卫星位点研究了肯尼亚的塞内加尔相思品种kerensis的遗传多样性水平和种群结构。在叶绿体和核数据集，高水平的遗传多样性被发现在所有群体和群体间的遗传分化是低的，表明广泛的基因流。人口结构的分析提供了支持的存在两组人口，虽然所有的个人有混合血统。群体反映了地理对基因流的影响，其中一个代表东非大裂谷人口，而另一个代表肯尼亚东部人口。来自核和叶绿体数据的估计之间的相似性表明，在这个物种的花粉和种子的基因传播非常有效，虽然人口结构似乎已在过去的分布变化的影响。核和叶绿体数据的空间模式之间的几个对比提供了额外的支持的想法，即在过去分散，群体现在彻底混合作为广泛的基因流的结果。为了保护和就地管理遗传资源，取样可以针对在已确定的空间群体中理想分布的少数大种群。这将确保大部分现存的变异得到保留，并促进重要表型性状变异的调查和育种群体的发展。
The level of genetic diversity and population structure of Acacia senegal variety kerensis in Kenya was examined using seven polymorphic nuclear microsatellite loci and two chloroplast microsatellite loci. In both chloroplast and nuclear datasets, high levels of genetic diversity were found within all populations and genetic differentiation among populations was low, indicating extensive gene flow. Analysis of population structure provided support for the presence of two groups of populations, although all individuals had mixed ancestry. Groups reflected the influence of geography on gene flow, with one representing Rift Valley populations whilst the other represented populations from Eastern Kenya. The similarities between estimates derived from nuclear and chloroplast data suggest highly effective gene dispersal by both pollen and seed in this species, although population structure appears to have been influenced by distributional changes in the past. The few contrasts between the spatial patterns for nuclear and chloroplast data provided additional support for the idea that, having fragmented in the past, groups are now thoroughly mixed as a result of extensive gene flow. For the purposes of conservation and in situ management of genetic resources, sampling could target a few, large populations ideally distributed among the spatial groups identified. This should ensure the majority of extant variation is preserved, and facilitate the investigation of variation in important phenotypic traits and development of breeding populations.
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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：
1.9
作者：
GUO, SW;THOMPSON, EA
通讯作者：
THOMPSON, EA
使用多位点基因型数据推断群体结构：连锁位点和相关等位基因频率。
影响因子：
3.3
作者：
Falush,Daniel;Stephens,Matthew;Pritchard,JonathanK
通讯作者：
Pritchard,JonathanK
影响因子：
3.8
作者：
Goodrum, LJ;Patel, A;Kieliszewski, MJ
通讯作者：
Kieliszewski, MJ