Local haplotyping reveals insights into the genetic control of flowering time variation in wild and domesticated soybean.

IF 3.9 2区 生物学 Q1 GENETICS & HEREDITY Plant Genome Pub Date : 2024-11-07 DOI:10.1002/tpg2.20528
Shameela Mohamedikbal, Hawlader A Al-Mamun, Jacob I Marsh, Shriprabha Upadhyaya, Monica F Danilevicz, Henry T Nguyen, Babu Valliyodan, Adam Mahan, Jacqueline Batley, David Edwards
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Abstract

The timing of flowering in soybean [Glycine max (L.) Merr.], a key legume crop, is influenced by many factors, including daylight length or photoperiodic sensitivity, that affect crop yield, productivity, and geographical adaptation. Despite its importance, a comprehensive understanding of the local linkage landscape and allelic diversity within regions of the genome influencing flowering and contributing to phenotypic variation in subpopulations has been limited. This study addresses these gaps by conducting an in-depth trait association and linkage analysis coupled with local haplotyping using advanced bioinformatics tools, including crosshap, to characterize genomic variation using a pangenome dataset representing 915 domesticated and wild-type individuals. The association analysis identified eight significant loci on seven chromosomes. Moving beyond traditional association analysis, local haplotyping of targeted regions on chromosomes 6 and 20 identified distinct haplotype structures, variation patterns, and genomic candidates influencing flowering in subpopulations. These results suggest the action of a network of genomic candidates influencing flowering time and an untapped reservoir of genomic variation for this trait in wild germplasm. Notably, GlymaLee.20G147200 on chromosome 20 was identified as a candidate gene that may cause delayed flowering in soybean, potentially through histone modifications of floral repressor loci as seen in Arabidopsis thaliana (L.) Heynh. These findings support future functional validation of haplotype-based alleles for marker-assisted breeding and genomic selection to enhance latitude adaptability of soybean without compromising yield.

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局部单倍型分析揭示了野生大豆和驯化大豆花期变异的遗传控制。
大豆[Glycine max (L.) Merr.]是一种重要的豆科作物,其开花时间受许多因素的影响,包括日照长度或光周期敏感性,这些因素会影响作物产量、生产率和地理适应性。尽管开花很重要,但对影响开花并导致亚群表型变异的基因组区域内的局部连接景观和等位基因多样性的全面了解却很有限。为了弥补这些差距,本研究利用代表 915 个驯化个体和野生型个体的泛基因组数据集,进行了深入的性状关联分析和连锁分析,并使用先进的生物信息学工具(包括 crosshap)进行了局部单倍型分析,以确定基因组变异的特征。关联分析确定了 7 条染色体上的 8 个重要位点。除了传统的关联分析外,还对 6 号和 20 号染色体上的目标区域进行了局部单倍型分析,确定了不同的单倍型结构、变异模式以及影响亚群开花的候选基因组。这些结果表明,影响开花时间的候选基因组网络正在发挥作用,野生种质中这一性状的基因组变异库尚未开发。值得注意的是,20 号染色体上的 GlymaLee.20G147200 被确定为可能导致大豆延迟开花的候选基因,该基因可能是通过对拟南芥(L. )Heynh 的花抑制基因座进行组蛋白修饰而导致的。这些发现支持未来对基于单体型的等位基因进行功能验证,以用于标记辅助育种和基因组选择,从而在不影响产量的情况下提高大豆的纬度适应性。
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来源期刊
Plant Genome
Plant Genome PLANT SCIENCES-GENETICS & HEREDITY
CiteScore
6.00
自引率
4.80%
发文量
93
审稿时长
>12 weeks
期刊介绍: The Plant Genome publishes original research investigating all aspects of plant genomics. Technical breakthroughs reporting improvements in the efficiency and speed of acquiring and interpreting plant genomics data are welcome. The editorial board gives preference to novel reports that use innovative genomic applications that advance our understanding of plant biology that may have applications to crop improvement. The journal also publishes invited review articles and perspectives that offer insight and commentary on recent advances in genomics and their potential for agronomic improvement.
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