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Detection of molecular signatures of selection at microsatellite loci in the South African abalone (Haliotis midae) using a population genomic approach

机译:使用种群基因组学方法检测南非鲍鱼(Haliotis midae)微卫星基因座上的选择分子标记

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摘要

Identifying genomic regions that may be under selection is important for elucidating the genetic architecture of complex phenotypes underlying adaptation to heterogeneous environments. A population genomic approach, using a classical neutrality test and various Fst-outlier detection methods was employed to evaluate genome-wide polymorphism data in order to identify loci that may be candidates for selection amongst six populations (three cultured and three wild) of the South African abalone, Haliotis midae. Approximately 9% of the genome-wide microsatellite markers were putatively subject to directional selection, whilst 6-18% of the genome is thought to be influenced by balancing selection. Genetic diversity estimates for candidate loci under directional selection was significantly reduced in comparison to candidate neutral loci, whilst candidate balancing selection loci demonstrated significantly higher levels of genetic diversity (Kruskal-Wallis test, P<0.05). Pairwise Fst estimates based on candidate directional selection loci also demonstrated increased levels of differentiation between study populations. Various candidate loci under selection showed significant inter-chromosomal linkage disequilibrium, suggesting possible gene-networks underling adaptive phenotypes. Furthermore, several loci had significant hits to known genes when performing BLAST searches to NCBI's non-redundant databases, whilst others are known to be derived from expressed sequences even though homology to a known gene could not be established. A number of loci also demonstrated relatively high similarity to transposable elements. The association of these loci to functional and genomically active sequences could in part explain the observed signatures of selection.
机译:鉴定可能处于选择状态的基因组区域对于阐明适应异质环境的复杂表型的遗传结构很重要。人群基因组学方法,使用经典的中性测试和多种Fst离群值检测方法,用于评估全基因组多态性数据,以鉴定可能在南方的六个种群(三个养殖种群和三个野生种群)中进行选择的位点。非洲鲍鱼,美人鱼。大约9%的基因组范围内的微卫星标记被推定了方向选择,而6-18%的基因组被认为受平衡选择的影响。与候选中性位点相比,定向选择下候选位点的遗传多样性估计值显着降低,而候选平衡选择位点表现出明显更高的遗传多样性水平(Kruskal-Wallis检验,P <0.05)。基于候选方向选择位点的成对Fst估计也表明研究人群之间的分化水平提高。选择中的各种候选基因座显示出显着的染色体间连锁不平衡,表明可能在适应性表型下的基因网络。此外,在对NCBI的非冗余数据库进行BLAST搜索时,有几个基因座对已知基因有重大影响,而即使无法建立与已知基因的同源性,也有一些基因座来源于表达的序列。许多基因座还表现出与转座元件相对较高的相似性。这些基因座与功能和基因组活性序列的关联可以部分解释观察到的选择特征。

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