通过聚合测序诱导的泛基因组数据结构可以促进异质生殖质中的变异挖掘
Patrick A Reeves1, Christopher M Richards1
1Agricultural Research Service, United States Department of Agriculture, National Laboratory for Genetic Resources Preservation, 1111 South Mason Street, Fort Collins, CO 80521 USA.
Molecular breeding : new strategies in plant improvement
|June 14, 2023
概括
在野生亲属中发现有价值的遗传变异,如Patellifolia spp. 现在更容易了. 一种新的"合并阅读档案"方法可以有效地挖掘基因基因,以改善甜菜的作物.
科学领域:
- 基因组学就是基因组学.
- 植物育种 植物育种
- 生物信息学是一种生物信息学.
背景情况:
- 基因银行拥有宝贵的遗传变异,但利用异质的胚胎质具有挑战性.
- 转基因和基因组编辑等分子育种技术为访问隐藏的遗传多样性提供了新的途径.
研究的目的:
- 开发一种新的数据结构,利用野生亲属的遗传变异.
- 为了促进植物物种在农业学上重要的特征的等位基因挖掘.
主要方法:
- 来自野生Patellifolia spp.的组合个体的全基因组测序. 人口. 人口. 人口.
- 将泛基因组表示为组合测序的地图,可以读取参考基因组.
- 创建用于变种识别的映射读数的BLAST数据库.
主要成果:
- 通过参考基因组位置或同源性来查询数据结构以确定序列变异.
- 在Patellifolia基因组区域中成功编目了变异,在甜菜中具有单副本的正义基因.
- "合并阅读档案"可以使用标准生物信息学工具生成和查询.
结论:
- "合并阅读档案"提供了一种有效的方法来发现农业学上重要的序列变化.
- 这种方法增强了利用野生亲属的遗传资源来改善作物.
- 促进了用于育种的隐藏序列变异的直接利用.
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