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用于研究……自然变异的遗传和基因组资源。 (原文此处不完整)

Genetic and genomic resources to study natural variation in .

作者信息

Lou Ping, Woody Scott, Greenham Kathleen, VanBuren Robert, Colle Marivi, Edger Patrick P, Sartor Ryan, Zheng Yakun, Levendoski Nathan, Lim Jan, So Calvin, Stoveken Brian, Woody Timothy, Zhao Jianjun, Shen Shuxing, Amasino Richard M, McClung C Robertson

机构信息

Department of Biological Sciences Dartmouth College Hanover NH USA.

Department of Biochemistry University of Wisconsin Madison WI USA.

出版信息

Plant Direct. 2020 Dec 22;4(12):e00285. doi: 10.1002/pld3.285. eCollection 2020 Dec.

Abstract

The globally important crop a close relative of Arabidopsis, is an excellent system for modeling our current knowledge of plant growth on a morphologically diverse crop. The long history of domestication across Asia and Europe provides a unique collection of locally adapted varieties that span large climatic regions with various abiotic and biotic stress-tolerance traits. This diverse gene pool provides a rich source of targets with the potential for manipulation toward the enhancement of productivity of crops both within and outside the Brassicaceae. To expand the genetic resources available to study natural variation in we constructed an Advanced Intercross Recombinant Inbred Line (AI-RIL) population using subsp. (Yellow Sarson) R500 and the subsp. (Cai Xin) variety L58. Our current understanding of genomic structure variation across crops suggests that a single reference genome is insufficient for capturing the genetic diversity within a species. To complement this AI-RIL population and current and future genomic resources, we generated a de novo genome assembly of the subsp. (Yellow Sarson) variety R500, the maternal parent of the AI-RIL population. The genetic map for the R500 x L58 population generated using this de novo genome was used to map Quantitative Trait Loci (QTL) for seed coat color and revealed the improved mapping resolution afforded by this new assembly.

摘要

这种在全球具有重要意义的作物——拟南芥的近缘种,是一个出色的系统,可用于基于一种形态多样的作物来构建我们目前对植物生长的认知模型。其在亚洲和欧洲的悠久驯化历史提供了独特的本地适应品种集合,这些品种跨越了具有各种非生物和生物胁迫耐受性特征的广大气候区域。这个多样的基因库提供了丰富的目标来源,有可能用于操纵以提高十字花科内外作物的生产力。为了扩大用于研究自然变异的遗传资源,我们使用芥菜亚种(黄薹子)R500和白菜亚种(菜心)品种L58构建了一个高级互交重组自交系(AI-RIL)群体。我们目前对作物基因组结构变异的理解表明,单一参考基因组不足以捕获一个物种内的遗传多样性。为了补充这个AI-RIL群体以及当前和未来的芥菜基因组资源,我们对AI-RIL群体的母本——芥菜亚种(黄薹子)品种R500进行了从头基因组组装。使用这个从头基因组生成的R500×L58群体的遗传图谱被用于绘制种皮颜色的数量性状位点(QTL),并揭示了这个新组装所提供的改进的图谱分辨率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f36/7755128/eb09d914e479/PLD3-4-e00285-g001.jpg

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