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面包小麦基因库中定向选择导致的亚基因组多样性模式

Subgenomic Diversity Patterns Caused by Directional Selection in Bread Wheat Gene Pools.

作者信息

Voss-Fels Kai, Frisch Matthias, Qian Lunwen, Kontowski Stefan, Friedt Wolfgang, Gottwald Sven, Snowdon Rod J

机构信息

Dep. of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig Univ., Heinrich-Buff-Ring 26-32, 35392, Giessen, Germany.

Institute for Agronomy and Plant Breeding II, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig Univ., Heinrich-Buff-Ring 26-32, 35392, Giessen, Germany.

出版信息

Plant Genome. 2015 Jul;8(2):eplantgenome2015.03.0013. doi: 10.3835/plantgenome2015.03.0013.

Abstract

Genetic diversity represents the fundamental key to breeding success, providing the basis for breeders to select varieties with constantly improving yield performance. On the other hand, strong selection during domestication and breeding have eliminated considerable genetic diversity in the breeding pools of major crops, causing erosion of genetic potential for adaptation to emerging challenges like climate change. High-throughput genomic technologies can address this dilemma by providing detailed knowledge to characterize and replenish genetic diversity in breeding programs. In hexaploid bread wheat (Triticum aestivum L.), the staple food for 35% of the world's population, bottlenecks during allopolyploidisation followed by strong artificial selection have considerably narrowed diversity to the extent that yields in many regions appear to be unexpectedly stagnating. In this study, we used a 90,000 single nucleotide polymorphism (SNP) wheat genotyping array to assay high-frequency, polymorphic SNP markers in 460 accessions representing different phenological diversity groups from Asian, Australian, European, and North American bread wheat breeding materials. Detailed analysis of subgroup diversity at the chromosome and subgenome scale revealed highly distinct patterns of conserved linkage disequilibrium between different gene pools. The data enable identification of genome regions in most need of rejuvenation with novel diversity and provide a high-resolution molecular basis for genomic-assisted introgression of new variation into chromosome segments surrounding directionally selected metaloci conferring important adaptation and quality traits.

摘要

遗传多样性是育种成功的根本关键,为育种者选择产量性能不断提高的品种提供了基础。另一方面,驯化和育种过程中的强烈选择已经消除了主要作物育种群体中相当大的遗传多样性,导致适应气候变化等新挑战的遗传潜力受到侵蚀。高通量基因组技术可以通过提供详细信息来表征和补充育种计划中的遗传多样性,从而解决这一困境。在六倍体普通小麦(Triticum aestivum L.)中,这种小麦是世界35%人口的主食,在异源多倍体化过程中出现瓶颈,随后又经过强烈的人工选择,导致遗传多样性大幅减少,以至于许多地区的产量似乎意外停滞不前。在本研究中,我们使用了一个包含90000个单核苷酸多态性(SNP)的小麦基因分型阵列,对代表亚洲、澳大利亚、欧洲和北美普通小麦育种材料中不同物候多样性组的460份材料中的高频多态性SNP标记进行检测。在染色体和亚基因组水平上对亚组多样性的详细分析揭示了不同基因库之间保守连锁不平衡的高度不同模式。这些数据能够识别最需要用新的多样性进行更新的基因组区域,并为将新变异基因组辅助渗入赋予重要适应性和品质性状的定向选择主效基因座周围的染色体片段提供高分辨率的分子基础。

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