Characterization of deleterious mutations in outcrossing populations.
Characterization of deleterious mutations in outcrossing populations.
复制标题
异交群体中有害突变的表征。
DOI：
10.1093/genetics/150.2.945
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发表时间：
1998
期刊：
影响因子：
3.3
通讯作者：
Deng,HW
中科院分区：
文献类型：
--
作者：
Deng,HW
Deng和Lynch最近提出，在异交/高度自交群体中，通过自交/异交后适应度的平均值和遗传方差的变化来估计有害基因组突变的速率和影响。我们原来的估计方法的效用是有限的异交种群，因为自交可能并不总是可行的。在这里，我们扩展到任何形式的近亲繁殖的异交种群的方法。通过模拟，在一系列生物学上合理的情况下，研究了一种常见的近亲繁殖（同胞交配）形式下估计的统计特性。不同程度的近交和两种不同的实验设计的估计的效率进行了研究。我们发现，估计使用总的遗传变异的近交世代一般是更有效的，比采用的平均值之间的近交家庭的遗传变异，并在实验中采用的近交程度越高，估计产生的功率越高。对可变或上位性突变效应下估计偏差的大小和方向的模拟结果可为准确推断有害突变提供依据。模拟占环境方差的健身表明，在全同胞交配，我们的扩展可以实现合理的估计，样本量仅为2000-3000。
Deng and Lynch recently proposed estimating the rate and effects of deleterious genomic mutations from changes in the mean and genetic variance of fitness upon selfing/outcrossing in outcrossing/highly selfing populations. The utility of our original estimation approach is limited in outcrossing populations, since selfing may not always be feasible. Here we extend the approach to any form of inbreeding in outcrossing populations. By simulations, the statistical properties of the estimation under a common form of inbreeding (sib mating) are investigated under a range of biologically plausible situations. The efficiencies of different degrees of inbreeding and two different experimental designs of estimation are also investigated. We found that estimation using the total genetic variation in the inbred generation is generally more efficient than employing the genetic variation among the mean of inbred families, and that higher degree of inbreeding employed in experiments yields higher power for estimation. The simulation results of the magnitude and direction of estimation bias under variable or epistatic mutation effects may provide a basis for accurate inferences of deleterious mutations. Simulations accounting for environmental variance of fitness suggest that, under full-sib mating, our extension can achieve reasonably well an estimation with sample sizes of only ∼2000-3000.