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Genetic monitoring reveals temporal stability over 30 years in a small lake-residentbrown trout population

机译:基因监测揭示了一个小型的湖泊居民在30年内的时间稳定性鳟鱼种群

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摘要

Knowledge of the degree of temporal stability of population genetic structure and composition is important for understanding microevolutionary processes and addressing issues of human impact of natural populations. We know little about how representative single samples in time are to reflect population genetic constitution, and we explore the temporal genetic variability patterns over a 30-year period of annual sampling of a lake-resident brown trout (Salmo trutta) population, covering 37 consecutive cohorts and five generations. Levels of variation remain largely stable over this period, with no indication of substructuring within the lake. We detect genetic drift, however, and the genetically effective population size (Ne) was assessed from allele-frequency shifts between consecutive cohorts using an unbiased estimator that accounts for the effect of overlapping generation. The overall mean Ne is estimated as 74. We find indications that Ne varies over time, but there is no obvious temporal trend. We also estimated Ne using a one-sample approach based on linkage disequilibrium (LD) that does not account for the effect of overlapping generations. Combining one-sample estimates for all years gives an Ne estimate of 76. This similarity between estimates may be coincidental or reflecting a general robustness of the LD approach to violations of thediscrete generations assumption. In contrast to the observed genetic stability, body sizeand catch per effort have increased over the study period. Estimates of annual effectivenumber of breeders (Nb) correlated with catch per effort, suggestingthat genetic monitoring can be used for detecting fluctuations in abundance.
机译:了解种群遗传结构和组成的时间稳定性程度对于了解微观进化过程和解决人类对自然种群影响的问题非常重要。我们对时间上具有代表性的单个样本如何反映种群遗传构成知之甚少,并且我们探索了湖栖褐鳟(Salmo trutta)种群每年抽样的30年期间的时间遗传变异性模式,该种群连续37年和五代人。在此期间,变化水平在很大程度上保持稳定,没有迹象表明该湖内部发生了子构造。但是,我们检测到遗传漂移,并使用无偏向估计量(由重叠群产生的影响),通过连续队列之间的等位基因频率变化评估了遗传有效种群大小(Ne)。总体平均Ne估计为74。我们发现Ne随时间变化,但没有明显的时间趋势。我们还使用基于连锁不平衡(LD)的单样本方法估算了Ne,该方法不考虑重叠世代的影响。结合所有年份的一个样本估计得出的Ne估计值为76。估计之间的这种相似性可能是巧合,也可能反映了LD方法对违规行为的一般鲁棒性。离散世代的假设。与观察到的遗传稳定性相反,身体大小在研究期间,每次努力的捕获量都有所增加。年度有效估计与每次努力捕捞量相关的育种者数量(Nb),表明基因监测可用于检测丰度波动。

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