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Microgeographical Population Structure Ofcod Gadus Morhua In The North Sea And West Of scotland: The Role Of Sampling Loci And Individuals

机译:苏格兰北海和鳕鱼西部鳕科鱼类的微地理种群结构:采样位点和个体的作用

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We investigated potential microgeographical population structure among spatial and temporal samples of cod Gadus morhua L., collected in the northern North Sea and around Scotland, using microsatellite genetic markers. Results were highly dependent on the samples and microsatel-lite loci included. Analysis of molecular variance (AMOVA) revealed significant spatial (p = 0.04) and temporal (p = 0.02) variance when including samples of juveniles and the microsatellite Gmo 132, which is known to be subject to selection. However, neither spatial nor temporal variance components were significant (p = 0.15 and 0.23, respectively) after exclusion of juvenile samples and Gmo 132. Patterns of genetic differentiation showed a similar sensitivity to the sampling of loci. No apparent pattern was identified when only using suspected neutral microsatellites. In contrast, analysis of Gmo 132 alone revealed a clear isolation of 2 samples collected at Viking and pairwise grouping of temporal adult samples from the same location. On a northeast Atlantic regional scale, inferences on local populations and patterns of population structuring were more robust to the inclusion of the microsatellite under selection. Our results demonstrate that, without cautious consideration of biased samples of individuals and loci, apparent microgeographical patterns of spatial genetic differentiation could be caused by sampling non-randomly distributed individuals or hitch-hiking selection at presumed neutral marker loci. However, while loci subject to selection may provide biased results in relation to identifying populations based on an evolutionary paradigm, they may prove valuable for separating populations on ecological time scales.
机译:我们使用微卫星遗传标记研究了在北海北部和苏格兰周围采集的鳕鱼Gadus morhua L.的时空样本中潜在的微地理种群结构。结果高度依赖于样品和包括的微卫星位点。分子方差分析(AMOVA)显示,当包括少年样本和已知要选择的微卫星Gmo 132时,存在明显的空间(p = 0.04)和时间(p = 0.02)方差。但是,排除了少年样本和Gmo 132后,空间和时间方差成分均不显着(分别为p = 0.15和0.23)。遗传分化模式显示出对基因座采样的相似敏感性。仅使用可疑的中性微卫星时,没有发现明显的模式。相比之下,仅对Gmo 132的分析就清楚地分离了维京人收集的2个样品,并从同一位置成对分组了成年时间的成年样品。在东北大西洋区域尺度上,对本地人口和人口结构模式的推断对于选择中的微卫星的纳入更为可靠。我们的研究结果表明,在不谨慎考虑有偏见的个体和基因座样本的情况下,空间遗传分化的明显微观地理模式可能是由对非随机分布的个体进行采样或在假定的中性标记基因座上搭便车选择引起的。但是,尽管要选择的基因座在基于进化范式识别种群方面可能会提供有偏见的结果,但它们可能被证明对于在生态时间尺度上分离种群很有价值。

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