Maximizing the potential of multi-parental crop populations.
Maximizing the potential of multi-parental crop populations.
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DOI：
10.1016/j.atg.2016.10.002
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发表时间：
2016-12
期刊：
影响因子：
--
通讯作者：
Bentley, Alison R
中科院分区：
文献类型：
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作者：
Ladejobi, Olufunmilayo;Elderfield, James;Gardner, Keith A;Gaynor, R Chris;Hickey, John;Hibberd, Julian M;Mackay, Ian J;Bentley, Alison R
大多数具有农业意义的作物性状都是数量遗传的，这限制了性状解剖的简便性和效率。多亲本群体克服了传统性状作图的局限性，并为准确定义复杂作物性状的遗传基础提供了新的潜力。嵌套关联映射（NAM）和多亲先进代杂交（MAGIC）种群的日益普及和使用引发了关于其创建过程中资源的优化设计和分配的问题。在本文中，我们回顾了创建多亲群体的策略，并描述了两项互补的计算机研究，涉及 NAM 和 MAGIC 群体的设计和构建。第一个模拟不同创始人父母的选择，第二个模拟多亲杂交方案（和创始人数量）对单倍型创建和多样性的影响。我们提出并应用两种开放软件资源来模拟多亲群体发展的替代策略。
Most agriculturally significant crop traits are quantitatively inherited which limits the ease and efficiency of trait dissection. Multi-parent populations overcome the limitations of traditional trait mapping and offer new potential to accurately define the genetic basis of complex crop traits. The increasing popularity and use of nested association mapping (NAM) and multi-parent advanced generation intercross (MAGIC) populations raises questions about the optimal design and allocation of resources in their creation. In this paper we review strategies for the creation of multi-parent populations and describe two complementary in silico studies addressing the design and construction of NAM and MAGIC populations. The first simulates the selection of diverse founder parents and the second the influence of multi-parent crossing schemes (and number of founders) on haplotype creation and diversity. We present and apply two open software resources to simulate alternate strategies for the development of multi-parent populations.