年轻的西特卡杉 (Picea sitchensis) 的添加和非添加遗传变异 (Bong. 汽车) 的运输
J J Ilska1,2, D J Tolhurst1, H Tumas3,4
1The Roslin Institute, Royal (Dick) School of Veterinary Science, University of Edinburgh, Easter Bush, Midlothian, Scotland EH25 9RG UK.
概括
定量遗传模型通常假定由于数据限制而存在附加变异. 这项研究估计了Sitka杉的添加物 (fa) 和非添加物 (fd) 遗传变异,发现添加物变异随着年龄的增长而增加身高.
科学领域:
- 定量遗传学 是一种定量遗传学.
- 森林遗传学 森林遗传学
- 植物育种 植物育种
背景情况:
- 定量遗传模型经常假设由于数据质量和结构不足而导致添加性遗传变异.
- 估计添加剂和非添加剂遗传变异的相对贡献对于育种计划至关重要.
研究的目的:
- 估计Sitka杉的添加剂 (fa) 和非添加剂 (fd) 遗传变异的分数,以测算高度,芽爆发和pilodyn透深度.
- 开发和应用一种新的方法来估计fa和fd,使用组合的基因型,表型和空间数据.
主要方法:
- 从三个兄弟家庭中利用了大约1500个后代,在三个地点以克隆方式复制.
- 通过RADseq获得了1525个后代的基因型,随后使用新的Sitka杉链接地图进行了归算和映射.
- 采用一种新的分析方法,将基因型,表型和空间建模相结合,用于每个特征和地点.
主要成果:
- 对高度的附加遗传变异 (fa) 的共识估计随着年龄的增长而增加,从2岁时的0.58增加到11岁时的0.75.
- 芽爆发的估计fa是0.83和pilodyn深度是0.84.
- 对于研究的特征,没有发现家族或地点异质性的证据,也没有发现与基因组同胞性相关的亲生关系抑郁症.
结论:
- 这些发现表明,添加基因变异是相当大的,并且随着年龄的增长而增加Sitka杉的高度.
- 结果不支持在物种内交叉的子线的发展.
- 开发的模型在评估非添加性遗传变异的规模时提供了更高的准确性.
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