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在小群体中最大化遗传方差时对选择的响应。

Response to selection while maximizing genetic variance in small populations.

作者信息

Cervantes Isabel, Gutiérrez Juan Pablo, Meuwissen Theo H E

机构信息

Department of Animal Production, Faculty of Veterinary, Complutense University of Madrid, Avda. Puerta de Hierro s/n, 28040, Madrid, Spain.

Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, Box 1432, Ås, Norway.

出版信息

Genet Sel Evol. 2016 Sep 20;48(1):69. doi: 10.1186/s12711-016-0248-3.

Abstract

BACKGROUND

Rare breeds represent a valuable resource for future market demands. These populations are usually well-adapted, but their low census compromises the genetic diversity and future of these breeds. Since improvement of a breed for commercial traits may also confer higher probabilities of survival for the breed, it is important to achieve good responses to artificial selection. Therefore, efficient genetic management of these populations is essential to ensure that they respond adequately to genetic selection in possible future artificial selection scenarios. Scenarios that maximize the maximum genetic variance in a unique population could be a valuable option. The aim of this work was to study the effect of the maximization of genetic variance to increase selection response and improve the capacity of a population to adapt to a new environment/production system.

RESULTS

We simulated a random scenario (A), a full-sib scenario (B), a scenario applying the maximum variance total (MVT) method (C), a MVT scenario with a restriction on increases in average inbreeding (D), a MVT scenario with a restriction on average individual increases in inbreeding (E), and a minimum coancestry scenario (F). Twenty replicates of each scenario were simulated for 100 generations, followed by 10 generations of selection. Effective population size was used to monitor the outcomes of these scenarios. Although the best response to selection was achieved in scenarios B and C, they were discarded because they are unpractical. Scenario A was also discarded because of its low response to selection. Scenario D yielded less response to selection and a smaller effective population size than scenario E, for which response to selection was higher during early generations because of the moderately structured population. In scenario F, response to selection was slightly higher than in Scenario E in the last generations.

CONCLUSIONS

Application of MVT with a restriction on individual increases in inbreeding resulted in the largest response to selection during early generations, but if inbreeding depression is a concern, a minimum coancestry scenario is then a valuable alternative, in particular for a long-term response to selection.

摘要

背景

珍稀品种是满足未来市场需求的宝贵资源。这些种群通常适应性良好,但其数量稀少会影响遗传多样性以及这些品种的未来发展。由于针对商业性状改良品种也可能提高该品种的生存概率,因此实现对人工选择的良好反应非常重要。所以,对这些种群进行有效的遗传管理对于确保它们在未来可能的人工选择情况下能充分响应遗传选择至关重要。在单一群体中最大化最大遗传方差的方案可能是一个有价值的选择。本研究的目的是探讨最大化遗传方差对提高选择反应以及增强群体适应新环境/生产系统能力的影响。

结果

我们模拟了随机方案(A)、全同胞方案(B)、应用最大方差总量(MVT)方法的方案(C)、对平均近交系数增幅有限制的MVT方案(D)、对个体平均近交系数增幅有限制的MVT方案(E)以及最小共祖系数方案(F)。每个方案模拟20次重复,持续100代,随后进行10代选择。有效种群大小用于监测这些方案的结果。尽管方案B和C对选择的反应最佳,但因其不切实际而被舍弃。方案A也因对选择的反应较低而被舍弃。与方案E相比,方案D对选择的反应较小且有效种群大小也较小,方案E由于种群结构适度,在早期世代对选择的反应较高。在方案F中,最后几代对选择的反应略高于方案E。

结论

对个体近交系数增幅有限制地应用MVT在早期世代对选择的反应最大,但如果担心近交衰退,那么最小共祖系数方案是一个有价值的选择,特别是对于长期的选择反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/357e/5030739/87823c8bd5b7/12711_2016_248_Fig1_HTML.jpg

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