journal article·2025-08Open access

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

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

Advanced Science· Volume 12· Issue 29

Abstract

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 1 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.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Horticultural and Viticultural Research · Fermentation and Sensory Analysis · Nuts composition and effects

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

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

University of Chinese Academy of Sciences Beijing 100049 China

School of Agronomy Hunan Agricultural University Changsha 410128 China

Instituto de Ciencias de la Vid y del Vino (ICVV) Consejo Superior de Investigaciones Científicas‐Universidad de La Rioja‐Gobierno de La Rioja Logrono 26007 Spain

EGFV, Bordeaux Sciences Agro INRAE, ISVV, Univ. Bordeaux Villenave d'Ornon 33882 France

Funding

National Natural Science Foundation of China · National Key Research and Development Program of China

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