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将高密度基因分型与高通量表型分析相结合,助力葡萄果实品质和抗逆性状的遗传剖析。

Integrating Dense Genotyping with High-Throughput Phenotyping Empowers the Genetic Dissection of Berry Quality and Resilience Traits in Grapevine.

作者信息

Zhang Yuyu, Wang Yongjian, Henke Michael, Carbonell-Bejerano Pablo, Wang Zemin, Bert Pierre-François, Wang Yi, Li Huayang, Kong Junhua, Fan Peige, Dai Zhanwu, Liang Zhenchang

机构信息

State Key Laboratory of Plant Diversity and Specialty Crops and Beijing Key Laboratory of Grape Science and Enology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.

China National Botanical Garden, Beijing, 100093, China.

出版信息

Adv Sci (Weinh). 2025 Aug;12(29):e2412587. doi: 10.1002/advs.202412587. Epub 2025 May 8.

Abstract

Investigating the genetic architecture of important agronomic traits in grapevine, like berry quality and resilience to abiotic stress, has been hampered by bottlenecks in genotyping and phenotyping. To address these limitations, this study aimed to develop innovative tools to unravel the complex polygenic genomic architecture of these traits. Specifically, a high-density 200K single nucleotide polymorphism array is developed and validated its effectiveness by genotyping 471 accessions from three F breeding populations. A high-throughput grape phenotyping tool is developed to accurately capture berry color, shape, and size. By integrating data from the two platforms, associated loci are identified over three growing seasons. Association mapping and haplotype analysis identified novel loci and candidate genes for berry shape (bHLH017), soluble sugars (ACT), and organic acids (ALMT1 and FUSC2), as well as vine cold tolerance (NAC08), and fine-mapped the flower sex determination locus. Furthermore, the functional role of NAC08 is validated, demonstrating that it activates the expression of a raffinose synthase gene, thereby increasing raffinose levels and conferring cold tolerance. Together, these augmented tools, the integrated data, and novel loci establish a better foundation for trait aggregation that will enhance breeding efficiency and boost the development of high-quality grape varieties.

摘要

葡萄重要农艺性状(如浆果品质和对非生物胁迫的抗性)的遗传结构研究一直受到基因分型和表型分析瓶颈的阻碍。为了解决这些限制,本研究旨在开发创新工具,以揭示这些性状复杂的多基因基因组结构。具体而言,开发了一种高密度200K单核苷酸多态性阵列,并通过对三个F育种群体的471份材料进行基因分型验证了其有效性。开发了一种高通量葡萄表型分析工具,以准确捕捉浆果的颜色、形状和大小。通过整合来自两个平台的数据,在三个生长季节中鉴定出相关位点。关联作图和单倍型分析确定了浆果形状(bHLH017)、可溶性糖(ACT)、有机酸(ALMT1和FUSC2)以及葡萄抗寒性(NAC08)的新位点和候选基因,并对花性别决定位点进行了精细定位。此外,验证了NAC08的功能作用,表明它激活了棉子糖合酶基因的表达,从而提高棉子糖水平并赋予抗寒性。总之,这些增强的工具、整合的数据和新位点为性状聚合奠定了更好的基础,将提高育种效率并推动优质葡萄品种的开发。

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