葡萄果实品质性状遗传特性与基因位点解析研究进展

doi:10.3864/j.issn.0578-1752.2026.11.011

中国农业科学 ›› 2026, Vol. 59 ›› Issue (11): 2447-2467.doi: 10.3864/j.issn.0578-1752.2026.11.011

葡萄果实品质性状遗传特性与基因位点解析研究进展

王慧玲¹(), 王晓玥², 闫爱玲³, 刘振华⁴, 任建成¹, 卢浩成¹, 孙磊¹()

¹ 北京市农林科学院林业果树研究所，北京 100093
² 北京市落叶果树工程技术研究中心，北京 100093
³ 农业农村部华北地区园艺作物生物学与种质创制重点实验室，北京 100093
⁴ 农业农村部华北都市农业重点实验室，北京 100093

收稿日期:2026-01-06 接受日期:2026-03-07 出版日期:2026-06-01 发布日期:2026-06-03
通信作者:
孙磊，Tel：010-82592156；E-mail：sunlei@baafs.net.cn
联系方式: 王慧玲，E-mail：wanghui198216@126.com。
基金资助:
北京市农林科学院科技创新能力建设科技攻关项目(KJCX20251002); 北京市农林科学院杰出科学家培养计划(JKZX202402); 国家自然科学基金(32472677); 现代农业产业技术体系建设专项(CARS-29)

Research Progress in Genetic Characteristics and Loci Mapping for Grape Berry Quality Traits

WANG HuiLing¹(), WANG XiaoYue², YAN AiLing³, LIU ZhenHua⁴, REN JianCheng¹, LU HaoCheng¹, SUN Lei¹()

¹ Institute of Forestry and Pomology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100093
² Beijing Engineering Research Center for Deciduous Fruit Trees, Beijing 100093
³ Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, Beijing 100093
⁴ Key Laboratory of Urban Agriculture (North China), Ministry of Agriculture and Rural Affairs, Beijing 100093

Received:2026-01-06 Accepted:2026-03-07 Published:2026-06-01 Online:2026-06-03

摘要/Abstract

摘要：

果实品质是葡萄育种的核心目标，其相关性状多为多基因控制的数量性状，易受遗传背景和环境因素共同影响，解析其遗传基础对葡萄分子设计育种具有重要意义。本研究系统综述葡萄果实品质性状（大小、质地、糖酸、颜色、无核和香气等）的遗传特性，梳理近30年来基于双亲分离群体连锁分析和自然群体关联分析鉴定品质性状QTL/候选基因的研究进展。葡萄果实大小、形状、质地等为典型多基因数量性状，具有较高广义遗传力；颜色、无核性、玫瑰香味等兼具质量与数量双重遗传特性，由主效基因联合微效基因调控，且多数品质性状的表型表达受栽培措施、光照、温度等环境因子显著影响。连锁分析方面，利用约60个以F₁代为主的杂交群体，共定位果实品质相关QTL约386个，其中，糖酸含量相关QTL数量最多，且在第18连锁群鉴定到无核、果实大小、质地等性状的主效QTL，第5连锁群存在玫瑰香味主效QTL；同时挖掘出VviAGL11、DXS、MYBA1/2等关键候选基因，明确其在无核性、玫瑰香味、果实颜色调控中的核心作用。关联分析方面，候选基因关联分析证实VvMybA基因簇、DXS等基因的序列多态性与果实颜色、玫瑰香味等性状显著关联，且部分基因存在多效性；全基因组关联分析已鉴定出大量与果实品质相关的SNP位点和结构变异，其中，结构变异在部分性状遗传调控中的贡献高于SNP。目前，分子标记在葡萄品质育种中的应用仍局限于主效基因控制的颜色、无核性、玫瑰香味等性状，果实大小、质地等复杂数量性状尚未实现分子标记辅助选择的实际应用。当前葡萄品质性状基因定位仍面临定位精度不足、多组学数据整合困难、多基因互作网络解析复杂、分子标记稳定性差等问题。未来需依托超级泛基因组、高通量表型鉴定平台，结合深度学习、基因编辑等技术，加强基因-环境互作研究，提高QTL定位精度和基因功能解析效率，构建高效的分子育种技术体系，为葡萄优质品种培育提供理论支撑和技术保障。本文旨在为后续优质葡萄品种的分子设计育种提供全面的文献参考与理论支撑。

关键词: 葡萄, 果实品质性状, QTL定位, 全基因组关联分析, 分子育种

Abstract:

Berry quality is a core objective of grapevine breeding. Most related traits are quantitative characteristics controlled by multiple genes, which are susceptible to the combined effects of genetic background and environmental factors. Deciphering the genetic basis of these traits is of great significance for molecular design breeding of grapes. This study systematically reviews the genetic characteristics of grape berry quality traits (e.g., berry size, texture, sugar and acid content, color, seedlessness, and aroma) and summarizes the research progress over the past three decades in identifying QTLs/candidate genes for quality traits using linkage analysis in bi-parental segregating populations and association analysis in natural populations. Grape berry size, shape and texture are typical polygenic quantitative traits with high broad-sense heritability; traits such as berry color, seedlessness and muscat flavor exhibit dual genetic characteristics of both qualitative and quantitative traits, which are regulated by major genes combined with minor genes. In addition, the phenotypic expression of most quality traits is significantly affected by environmental factors such as cultivation practices, light and temperature. In terms of linkage analysis, a total of approximately 386 QTLs associated with grape berry quality traits were mapped using about 60 hybrid populations dominated by F₁ generations, among which the number of QTLs related to sugar and acid content was the largest. Major QTLs for seedlessness, berry size, texture and other traits were identified on linkage group 18, and a major QTL for muscat aroma was detected on linkage group 5. Meanwhile, key candidate genes such as VviAGL11, DXS and MYBA1/2 were excavated, and their core regulatory roles in seedlessness, muscat aroma and berry color were clarified. For association analysis, candidate gene association analysis confirmed that the sequence polymorphisms of gene clusters such as VvMybA and genes including DXS were significantly associated with fruit color, muscat aroma and other traits, and some genes exhibited pleiotropy. Genome-wide association analysis has identified a large number of single nucleotide polymorphism (SNP) loci and structural variations (SVs) related to berry quality traits, among which SVs contribute more to the genetic regulation of some traits than SNPs. At present, the application of molecular markers in grape quality breeding is still limited to traits controlled by major genes such as berry color, seedlessness and muscat aroma, and marker-assisted selection has not been practically applied to complex quantitative traits such as berry size and texture. Currently, the gene mapping of grape berry quality traits is still faced with challenges such as insufficient mapping accuracy, difficulties in multi-omics data integration, complexity in deciphering multi-gene interaction networks, and poor stability of molecular markers. In the future, relying on super pan-genome and high-throughput phenotyping platforms, combined with technologies such as deep learning and gene editing, it is necessary to strengthen research on gene-environment interactions, improve the accuracy of QTL mapping and the efficiency of gene function analysis, and construct an efficient molecular breeding technology system, so as to provide theoretical support and technical guarantee for the cultivation of high-quality grape varieties. This paper aims to offer a comprehensive literature reference and theoretical foundation for subsequent molecular design breeding of premium grape cultivars.

Key words: grape, berry quality traits, QTL mapping, GWAS, molecular breeding

王慧玲, 王晓玥, 闫爱玲, 刘振华, 任建成, 卢浩成, 孙磊. 葡萄果实品质性状遗传特性与基因位点解析研究进展[J]. 中国农业科学, 2026, 59(11): 2447-2467.

WANG HuiLing, WANG XiaoYue, YAN AiLing, LIU ZhenHua, REN JianCheng, LU HaoCheng, SUN Lei. Research Progress in Genetic Characteristics and Loci Mapping for Grape Berry Quality Traits[J]. Scientia Agricultura Sinica, 2026, 59(11): 2447-2467.

图/表 4

图1

表1

葡萄果实品质性状QTL定位总结"

性状分类 Trait category	细分性状及定位连锁群 Sub traits and linked group (LG)	参考文献 Reference
果实大小 Berry size	果实单重：LG1—LG2、LG4—LG19；果实纵径：LG5—LG6、LG8、LG15、LG17和LG18；果实横径：LG2、LG6、LG9、LG17—LG18；果实体积：LG2、LG12、LG17—LG18；果实面积：LG6和LG17 Berry weight: LG1-LG2, LG4-LG19; Berry length: LG5-LG6, LG8, LG15, LG17-LG18; Berry diameter: LG2, LG6, LG9, LG17-LG18; Berry volume: LG2, LG12, LG17-LG18; Berry area: LG6, LG17	[4-7,9 -10,20,23,31,40 -42,59,60 -63]
果实形状 Berry shape	果形指数：LG4—LG5、LG8—LG9、LG17—LG18 Shape index：LG4-LG5, LG8-LG9, LG17-LG18	[7-8,66 -67]
果实质地 Berry texture	果实硬度：LG1、LG3—LG6、LG8、LG10—LG11、LG13—LG14、LG17—LG18；果实黏性：LG12、LG17—LG18；果实咀嚼性：LG18；果实凝聚性：LG13、LG15、LG17—LG18；果实弹性：LG17—LG18；果肉硬度：LG1、LG4、LG6、LG8、LG10；果皮穿刺硬度：LG6、LG10—LG11、LG14、LG16—LG17；果皮脆性：LG3、LG6、LG9、LG14、LG16；多汁性：LG19 Berry firmness: LG1, LG3- LG6, LG8, LG10-LG11, LG13-LG14, LG17-LG18; Berry gumminess: LG12, LG17-LG18; Berry chewiness: LG18; Berry cohesiveness: LG13, LG15, LG17-LG18; Berry resilience: LG17-LG18; Mesocarp firmness: LG1, LG4, LG6, LG8, LG10; Pericarp puncture hardness: LG6, LG10-LG11, LG14, LG16-LG17; Pericarp brittleness: LG3, LG6, LG9, LG14, LG16; Juiciness: LG19	[8,10,15 -17,59,68 -69]
糖酸含量 Sugar and acid content	可溶性固形物含量：LG1—LG3、LG6、LG13；酸碱度：LG1、LG4、LG6、LG8、LG10—LG11、LG13—LG14、LG16—LG18；可滴定酸含量：LG1—LG2、LG5—LG7、LG9、LG13、LG17、LG19；可溶性固形物含量/可滴定酸含量：LG1—LG2、LG4；酸含量：LG2、LG4—LG9、LG12—LG14、LG17、LG19；糖含量：LG2、LG7—LG8、LG16—LG17、LG19；果糖：LG4、LG11、LG14、LG17；葡萄糖：LG14；果糖/葡萄糖：LG2—LG3、LG5、LG7、LG9、LG17；苹果酸：LG1、LG4—LG10、LG14—LG15、LG17—LG18；酒石酸：LG2、LG6、LG8、LG13、LG18—LG19；酒石酸/苹果酸：LG1、LG5—LG6、LG8、LG10—LG11、LG18；酒石酸+苹果酸：LG5；钾离子：LG2；钾离子/酒石酸：LG13 Total soluble solid content: LG1-LG3, LG6, LG13; pH value: LG1, LG4, LG6, LG8, LG10-LG11, LG13-LG14, LG16-LG18; Titratable acidity: LG1-LG2, LG5-LG7, LG9, LG13, LG17, LG19; Total soluble solid content/Titratable acidity: LG1-LG2, LG4; Acids: LG2, LG4-LG9, LG12-LG14, LG17, LG19; Sugars: LG2, LG7-LG8, LG16-LG17, LG19; Fructose: LG4, LG11, LG14, LG17; Glucose: LG14; Fructose/Glucose: LG2-LG3, LG5, LG7, LG9, LG17; Malic acid: LG1, LG4-LG10, LG14-LG15, LG17-LG18; Tartaric acid: LG2, LG6, LG8, LG13, LG18-LG19; Tartaric acid: LG2, LG6, LG8, LG13, LG18-LG19; Tartaric acid/Malic acid: LG1, LG5-LG6, LG8, LG10-LG11, LG18; Tartaric acid+Malic acid: LG5; K⁺: LG2; K⁺/Tartaric acid: LG13	[10,19 -21,23 -27,31,67,70]
果实颜色 Berry color	花色苷：LG1—LG4、LG6—LG10、LG12—LG14、LG16—LG19；花色苷甲基化水平：LG1—LG2；花色苷糖基转移酶：LG2、LG16；果实颜色：LG2、LG4；色差：LG2、LG4；颜色等级：LG2；三羟基化花青素：LG2、LG4；甲基化花青素：LG2、LG4、LG6；酰基化花青素：LG2、LG4、LG6、LG11、LG17；红色：LG1-LG2；绿色：LG1—LG2；蓝色：LG6、LG15；亮度：LG2；红绿色值：LG2、LG10；蓝黄色值：LG2；色调：LG1—LG2、LG7、LG10；饱和度：LG1—LG2；强度：LG2 Anthocyanins: LG1-LG4, LG6-LG10, LG12-LG14, LG16-LG19; Methylation level of anthocyanins: LG1-LG2; UDP-glucose flavonoid 7-O-glucosyltransferase: LG2, LG16; Berry color: LG2, LG4; Chromatic aberration: LG2, LG4; Color grade: LG2; Trihydroxylated anthocyanins: LG2, LG4; Methylated anthocyanins: LG2, LG4, LG6; Acylated anthocyanins: LG2, LG4, LG6, LG11, LG17; Red: LG1-LG2; Green: LG1-LG2; Blue: LG6, LG15; Lightness: LG2; Red-green: LG2, LG10; Blue-yellow: LG2; Hue: LG1-LG2, LG7, LG10; Saturation: LG1-LG2; Intensity: LG2	[29,31 -35,59,67,73 -77]
无核性状 Seedless	种子重量：LG1—LG2、LG4—LG6、LG8—LG16、LG18—LG19；种子数量：LG1—LG2、LG4—LG5、LG7—LG8、LG11—LG14、LG16、LG18；每个果实中种子重量：LG4、LG9、LG13—LG14、LG18；种子大小：LG6—LG8、LG11、LG13、LG17 Seed weight: LG1-LG2, LG4-LG6, LG8-LG16, LG18-LG19; Seed number: LG1-LG2, LG4-LG5, LG7-LG8, LG11-LG14, LG16, LG18; Seed fresh weight per berry: LG4, LG9, LG13-LG14, LG18; Seed size: LG6-LG8, LG11, LG13, LG17	[4-5,9,23,40 -42,78 -81]
玫瑰香味 Muscat flavor	单萜：LG1—LG3、LG5、LG7—LG8、LG10—LG19；玫瑰香味：LG5；关键途径基因表达：LG6、LG12、LG16；降异戊二烯：LG2 Monoterpenes: LG1-LG3, LG5, LG7-LG8, LG10-LG19; Muscat flavor: LG5; Key gene expression: LG6, LG12, LG16; Norisoprenoids: LG2	[8,44,46 -47,87 -91]
涩味 Astringency	单宁：LG2；果皮原花色素含量：LG1—LG2、LG8、LG13、LG17；种子原花色素含量：LG1—LG4、LG8、LG10、LG12—LG14、LG16—LG18；不同原花色素组分：LG1—LG6、LG8、LG10、LG13、LG17—LG19；聚合度：LG4、LG14、LG17 Tannins: LG2; Skin proanthocyanidins content: LG1-LG2, LG8, LG13, LG17; Seed proanthocyanidins content: LG1-LG4, LG8, LG10, LG12-LG14, LG16-LG18; Skin Different proanthocyanidins component: LG1-LG6, LG8, LG10, LG13, LG17-LG19; Degree of polymerisation: LG4, LG14, LG17	[27,92 -93]

表1

表2

葡萄中候选基因关联分析总结"

品质性状 Quality traits	群体大小Population size	分子标记（数目）Molecular markers (number)	候选基因 Candidate genes	参考文献 Reference
果实颜色Berry colour	168	SNP (46)	VvMybA1	[28]
花色苷 Anthocyanins	141	SNP (78)	MYB基因簇（VvMybA1、VvMybA2、VvMybA3、VvMybA4） MYB gene cluster (VvMybA1, VvMybA2, VvMybA3, VvMybA4)	[29]
甲基化花色苷 Methylated anthocyanins	50	SNP (37)	花色苷甲基转移酶基因1和2（VviAOMT1和VviAOMT2） Anthocyanin O-methyltransferase 1 and 2 (VviAOMT1, VviAOMT2)	[75]
颜色、花色苷 Berry color, anthocyanins	149	SNP (124)	花色苷合成相关15个基因 15 genes related to anthocyanins biosynthesis	[94]
原花色素 Proanthocyanidins	141	SNP (110)	原花色素合成相关9个基因 9 genes related to proanthocyanidins biosynthesis	[93]
原花色素 Proanthocyanidins	141	SNP (81)	Cob家族基因（VviCob-like）)，丝氨酸羧肽酶样基因（VviGat-like），MYB转录因子（VviMybC2-L1） Cob family gene (VviCob-like), serine carboxy peptidase-like (SCPL) gene (VviGat-like), MYB-type transcription factor family (VviMybC2-L1)	[95]
玫瑰香味 Muscat flavor	148	SNP (102)	1-脱氧-D-木酮糖-5-磷酸合酶（VvDXS） 1-deoxy-D-xylulose-5-phosphate synthase (VvDXS)	[84]
玫瑰香味 Muscat flavor	92	SNP (22)	1-脱氧-D-木酮糖-5-磷酸合酶（VvDXS） 1-deoxy-D-xylulose-5-phosphate synthase (VvDXS)	[96]
萜品醇α-Terpineol	61	SNP (20)	α-萜品醇合酶基因（α-TPS） α-Terpineol synthase gene (α-TPS)	[97]
单粒重Berry weight	38	SNP (447)	果肉缺失突变（Flb）Fleshless berry mutation (Flb)	[98]
果实质地Berry texture	96	SNP (32)	果胶裂解酶（VvPel）Pectate lyase (VvPel)	[100]
果实质地Berry texture、果实横径、出汁率Berry width, juiciness	127	SNP (15)	赤霉素不敏感蛋白（VvGAI1） 1DELLA subfamily (VvGAI1)	[101]
果实大小、穗长、穗宽、穗重 Berry size, cluster length, cluster width, cluster weight	140	SNP (60)	终端开花基因（VvTFL1A） TERMINAL FLOWER 1A (VvTFL1A)	[102]
果实纵径、横径、单粒重、体积 Berry length, berry width, berry weight, berry volume	114	SNP (69)	NAC结构域转录因子26（VvNAC26） NAC domain-containing transcription factor 26 (VvNAC26)	[64]
果穗紧密度Cluster compactness	114	SNP (7032)	183个候选基因183 related candidate genes	[103]
果穗紧密度Cluster compactness	114	SNP (80)	VvUCC1植物特异性细胞壁蛋白Uclacyanin plant-specific cell-wall protein	[99]
无核Seedlessness	124	SNP (537)	AGAMOUS类似基因11 AGAMOUS-LIKE11 (VvAGL11)	[79]
种子Seed	114	SNP (15309)	289个基因289 related candidate genes	[104]

表2

表3

葡萄中全基因组关联分析总结"

年份Year	群体大小Population size	分子标记类型（数目）Molecular markers (number)	性状及显著关联染色体位点 Quality traits (significant associated chromosomes)	参考文献 Reference
2011	289	SNP (5110)	果皮颜色（Chr.2） Berry color (Chr.2)	[105]
2017	96	SSR (187)	里那醇（Chr.1、Chr.5、Chr.7、Chr.19）；萜品醇（Chr.1、Chr.5、Chr.7、Chr.16、Chr.17、Chr.18）；橙花醇（Chr.1、Chr.2、Chr.3、Chr.4、Chr.5、Chr.6、Chr.8、Chr.13、Chr.14、Chr.16、Chr.19）；香叶醇（Chr.1、Chr.2、Chr.3、Chr.4、Chr.5、Chr.7、Chr.9） Linalool (Chr.1, Chr.5, Chr.7, Chr.19); Terpineol (Chr.1, Chr.5, Chr.7, Chr.16, Chr.17, Chr.18); Nerol (Chr.1, Chr.2, Chr.3, Chr.4, Chr.5, Chr.6, Chr.8, Chr.13, Chr.14, Chr.16, Chr.19); Geraniol (Chr.1, Chr.2, Chr.3, Chr.4, Chr.5, Chr.7, Chr.9)	[129]
2017	199	SNP (414233)	无核（Chr.5、Chr.6、Chr.10、Chr.17、Chr.18） Seedlessness (Chr.5, Chr.6, Chr.10, Chr.17, Chr.18)	[121]
2017	1817	SNP (9114)	果皮颜色（Chr.2）；玫瑰香气（Chr.5、Chr.8）；果实大小（Chr.11） Berry color (Chr.2); Muscat flavor (Chr.5, Chr.8); Berry size (Chr.11)	[106]
2017	304	SNP (481192)	果形（Chr.2） Berry shape (Chr.2)	[119]
2018	86	SNP (26893)	果粒单重（Chr.6）；可溶性固形物（Chr.14） Berry weight (Chr.6); Total soluble solid content (Chr.14)	[107]
2018	783	SNP (10207)	穗重（Chr.13）；酸度（Chr.2）；玫瑰香味（Chr.5）；无核（Chr.6、Chr.9、Chr.19）；果实颜色（Chr.2） Cluster weight (Chr.13); Acid (Chr.2); Muscat flavor (Chr.5); Seedlessness (Chr.6, Chr.9, Chr.19); Berry color (Chr.2)	[108]
2019	179	SNP (32311)	果实颜色（Chr.2）；单粒重（Chr.18、Chr.17、Chr.19）；果实质地（Chr.16）；玫瑰香味（Chr.5） Berry color (Chr.2); Berry weight (Chr.18, Chr.17, Chr.19); Berry texture (Chr.16); Muscat flavor (Chr.5)	[109]
2019	472	SNP (873000)	果形指数（Chr.1、Chr.3、Chr.7、Chr.8、Chr.10、Chr.15） Berry shape index (Chr.1, Chr.3, Chr.7, Chr.8, Chr.10, Chr.15)	[110]
2020	33	SNP (5373452)	无核（Chr.1、Chr.8、Chr.18）Seedlessness (Chr.1, Chr.8, Chr.18)	[123]
2021	88	SNP (68600)	种子果实比重（Chr.17）Seed/berry ratio (Chr.17)	[122]
2022	279	SNP (63000)	果实单粒重（Chr.1、Chr.2、Chr.8、Chr.11、Chr.15、Chr.17）；苹果酸（Chr.9、Chr.12、Chr.18）；柠檬酸（Chr.3）；葡萄糖/果糖（Chr.2）；单宁聚合度（Chr.2、Chr.17）；花色苷总量（Chr.2）；花色苷组分（Chr2、Chr.13） Berry weight (Chr.1, Chr.2, Chr.8, Chr.11, Chr.15, Chr.17); Malic acid (Chr.9, Chr.12, Chr.18); Citric acid (Chr.3); Glusose/fructose ratio (Chr.2); Tannin polymerization degree (Chr.2, Chr.17); Anthocyanin content (Chr.2); Anthocyanin components (Chr.2, Chr.13)	[111]
2022	356	rhAmpSeq (1599)	果实颜色（Chr.2、Chr.4、Chr.13、Chr.16、Chr.17）；果实纵径（Chr.2、Chr.5、Chr.10、Chr.15、Chr.18、Chr.19）；果实横径（Chr.1、Chr.2、Chr.5、Chr.10、Chr.15、Chr.18）；果实单粒重（Chr.2、Chr.3、Chr.6、Chr.7、Chr.9、Chr.13）；果实硬度（Chr.2、Chr.3、Chr.8）；种子数（Chr.7、Chr.17）；单穗粒数（Chr.5、Chr.7、Chr.14）；单穗重（Chr.17） Berry color (Chr.2, Chr.4, Chr.13, Chr.16, Chr.17); Berry length (Chr.2, Chr.5, Chr.10, Chr.15, Chr.18, Chr.19); Berry width (Chr.1, Chr.2, Chr.5, Chr.10, Chr.15, Chr.18); Berry weight (Chr.2, Chr.3, Chr.6, Chr.7, Chr.9, Chr.13); Berry firmness (Chr.2, Chr.3, Chr.8); Seed number (Chr.7, Chr.17); Berry number per cluster (Chr.5, Chr.7, Chr.14); Cluster weight (Chr.17)	[132]
2022	348	rhAmpSeq (1599)	果实颜色（Chr.4） Berry color (Chr.4)	[133]
2022	287	SNP (601261)	果实裂果指数（Chr.1、Chr.2、Chr.3、Chr.18）；裂果类型（Chr.18） Berry cracking index (Chr.1, Chr.2, Chr.3, Chr.18); Cracking type (Chr.18)	[128]
2022	279	SNP (566129)	弯曲果形指数（Chr.3、Chr.7、Chr.9、Chr.13、Chr.16）；果形指数外部（Chr.3、Chr.9、Chr.13、Chr.16）；内部果形指数（Chr.2、Chr.3、Chr.4、Chr.6、Chr.7、Chr.8、Chr.9、Chr.10、Chr.12、Chr.13、Chr.16、Chr.19） Curved fruit shape index (Chr.3, Chr.7, Chr.9, Chr.13, Chr.16); Fruit shape index external (Chr.3, Chr.9, Chr.13, Chr.16); Fruit shape index internal (Chr.2, Chr.3, Chr.4, Chr.6, Chr.7, Chr.8, Chr.9, Chr.10, Chr.12, Chr.13, Chr.16, Chr.19)	[120]
2023	117	SNP (12734)	玫瑰香味（Chr.5、Chr.18）；果实颜色（Chr.2） Muscat flavor (Chr.5, Chr.18); Berry color (Chr.2)	[117]
2023	149（F₁）	SNP (568953)	降异戊二烯（Chr.5、Chr.10、Chr.8） Isoprenoids (Chr.5, Chr.10, Chr.8)	[130]
2023	150	SNP (3401402)	果实单粒重（Chr.1、Chr.5、Chr.11、Chr.16）；种子数目和质量（Chr.18） Berry weight (Chr.1, Chr.5, Chr.11, Chr.16); Seed number and weight (Chr.18)	[39]
2024	437	SNP (2124668)	果实质地（Chr.3、Chr.4、Chr.6、Chr.7、Chr.8、Chr.9、Chr.10、Chr.11、Chr.12、Chr.13、Chr.14、Chr.15、Chr.16、Chr.18、Chr.19） Berry texture (Chr.3, Chr.4, Chr.6, Chr.7, Chr.8, Chr.9, Chr.10, Chr.11, Chr.12, Chr.13, Chr.14, Chr.15, Chr.16, Chr.18, Chr.19)	[126]
2024	122	SNP (108777)	穗长（Chr.9、Chr.15）；果粒重（Chr.3、Chr.5）；果粒纵径（Chr.4、Chr.5、Chr.9、Chr.19）；果粒横径（Chr.4、Chr.5、Chr.13、Chr.15、Chr.17） Cluster length (Chr.9, Chr.15); Berry weight (Chr.3, Chr.5); Berry length (Chr.4, Chr.5, Chr.9, Chr.19); Berry weight (Chr.4, Chr.5, Chr.13, Chr.15, Chr.17)	[112]
2024	588	SNP (49210)	种子鲜重（Chr.1、Chr.2、Chr.9、Chr.11、Chr.13、Chr.14、Chr.15、Chr.19）；种子干重（Chr.1、Chr.4、Chr.18、Chr.19）；果实纵径（Chr.3, Chr.5, Chr.8, Chr.11, Chr.14）；果实横径（Chr.2, Chr.5, Chr.6, Chr.7, Chr.8, Chr.11, Chr.17, Chr.18）；果形（Chr.1, Chr.4, Chr.5, Chr.8, Chr.9, Chr.10, Chr.14, Chr.16, Chr.18）；果实单粒重（Chr.15） Seed fresh weight (Chr.1, Chr.2, Chr.9, Chr.11, Chr.13, Chr.14, Chr.15, Chr.19); Seed dry weight (Chr.1, Chr.4, Chr.18, Chr.19); Berry length (Chr.3, Chr.5, Chr.8, Chr.11, Chr.14); Berry width (Chr.2, Chr.5, Chr.6, Chr.7, Chr.8, Chr.11, Chr.17, Chr.18); Berry shape (Chr.1, Chr.4, Chr.5, Chr.8, Chr.9, Chr.10, Chr.14, Chr.16, Chr.18); Berry weight (Chr.15)	[113]
2024	444	SNPs (4462797), InDels (443812 ), SVs (487204)	无核性状（Chr.1、Chr.4、Chr.5、Chr.7、Chr.8、Chr.9、Chr.10、Chr.11、Chr.12、Chr.13、Chr.14、Chr.15、Chr.18、Chr.19） Seedlessness (Chr.1, Chr.4, Chr.5, Chr.7, Chr.8, Chr.9, Chr.10, Chr.11, Chr.12, Chr.13, Chr.14, Chr.15, Chr.18, Chr.19)	[124]
2024	324	SNPs和Indel (9105787), SVs (236449)	颜色（Chr.2）；果实单重（Chr.1、Chr.6、Chr.8、Chr.9、Chr.13）；果实体积（Chr.6、Chr.8、Chr.9、Chr.10、Chr.11、Chr.15、Chr.18）；果实纵径（Chr.7、Chr.10）；果实横径（Chr.6、Chr.8、Chr.9、Chr.11、Chr.15、Chr.17）；种子长度（Chr.1、Chr.5、Chr.6、Chr.8、Chr.9、Chr.10、Chr.18、Chr.19）；种子数量（Chr.1、Chr.5、Chr.6、Chr.8、Chr.17、Chr.18）；果实形状（Chr.3、Chr.7、Chr.12）；果肉硬度（Chr.2、Chr.6、Chr.12、Chr.16）；出汁率（Chr.1、Chr.7）；果皮收敛性（Chr.3、Chr.4）；果皮厚度（Chr.12、Chr.17）；穗重（Chr.1、Chr.11、Chr.14、Chr.15）；柠檬酸含量（Chr.1、Chr.3、Chr.7、Chr.12）；苹果酸（Chr.1、Chr.6、Chr.7）；酒石酸（Chr.1、Chr.7、Chr.17）；可滴定酸（Chr.4、Chr.10、Chr.12）、可溶性固形物（Chr.5、Chr.7、Chr.9、Chr.11）、蔗糖含量（Chr.4、Chr.6、Chr.11）、果糖（Chr.9、Chr.12）、葡萄糖（Chr.18） Berry color (Chr.2); Berry weight (Chr.1, Chr.6, Chr.8, Chr.9, Chr.13)； Berry volume (Chr.6, Chr.8, Chr.9, Chr.10, Chr.11, Chr.15, Chr.18); Berry length (Chr.7, Chr.10); Berry width (Chr.6, Chr.8, Chr.9, Chr.11, Chr.15, Chr.17); Seed length (Chr.1, Chr.5, Chr.6, Chr.8, Chr.9, Chr.10, Chr.18, Chr.19); Seed number (Chr.1, Chr.5, Chr.6, Chr.8, Chr.17, Chr.18); Berry shape (Chr.3, Chr.7, Chr.12); Berry firmness (Chr.2, Chr.6, Chr.12, Chr.16); Juice yield (Chr.1, Chr.7); Pericarp astringency (Chr.3, Chr.4); Berry skin thickness (Chr.12, Chr.17); Cluster weight (Chr.1, Chr.11, Chr.14, Chr.15); Citric acid content (Chr.1, Chr.3, Chr.7, Chr.12); Malic acid (Chr.1, Chr.6, Chr.7); Tartaric acid (Chr.1, Chr.7, Chr.17); Titratable acidity (Chr.4, Chr.10, Chr.12); Soluble solid content (Chr.5, Chr.7, Chr.9, Chr.11); Surcose content (Chr.4, Chr.6, Chr.11); Frucose (Chr.9, Chr.12); Glusose (Chr.18)	[118]
2025	279	SNP (566129)	种子相关性状（Chr.4、Chr.18）Seed related traits (Chr.4, Chr.18)	[125]
2025	1081（F₁）	SNP (42678-67394)	单果重（Chr.1、Chr.2、Chr.3、Chr.4、Chr.5、Chr.7、Chr.9、Chr.11、Chr.12、Chr.13、Chr.14、Chr.15、Chr.16、Chr.17、Chr.18、Chr.19）；可滴定酸（Chr.2、Chr.4、Chr.7、Chr.8、Chr.11、Chr.12、Chr.13、Chr.14、Chr.16、Chr.17、Chr.18、Chr.19）；果实pH（Chr.1、Chr.2、Chr.3、Chr.4、Chr.5、Chr.7、Chr.9、Chr.11、Chr.13、Chr.14、Chr.15、Chr.16、Chr.17、Chr.18、Chr.19）；果实糖含量（Chr.1、Chr.2、Chr.3、Chr.5、Chr.6、Chr.7、Chr.8、Chr.9、Chr.10、Chr.11、Chr.12、Chr.14、Chr.15、Chr.16、Chr.18、Chr.19）；穗重（Chr.2、Chr.4、Chr.6、Chr.7、Chr.8、Chr.9、Chr.10、Chr.12、Chr.13、Chr.14、Chr.16、Chr.17、Chr.18）；果穗紧密度（Chr.1、Chr.2、Chr.8、Chr.9、Chr.10、Chr.11、Chr.12、Chr.13、Chr.14、Chr.16、Chr.18）	[116]
			Berry weight (Chr.1, Chr.2, Chr.3, Chr.4, Chr.5, Chr.7, Chr.9, Chr.11, Chr.12, Chr.13, Chr.14, Chr.15, Chr.16, Chr.17, Chr.18, Chr.19); Titratable acidity (Chr.2, Chr.4, Chr.7, Chr.8, Chr.11, Chr.12, Chr.13, Chr.14, Chr.16, Chr.17, Chr.18, Chr.19); Berry pH (Chr.1, Chr.2, Chr.3, Chr.4, Chr.5, Chr.7, Chr.9, Chr.11, Chr.13, Chr.14, Chr.15, Chr.16, Chr.17, Chr.18, Chr.19); Sugar content (Chr.1, Chr.2, Chr.3, Chr.5, Chr.6, Chr.7, Chr.8, Chr.9, Chr.10, Chr.11, Chr.12, Chr.14, Chr.15, Chr.16, Chr.18, Chr.19); Cluster weight (Chr.2, Chr.4, Chr.6, Chr.7, Chr.8, Chr.9, Chr.10, Chr.12, Chr.13, Chr.14, Chr.16, Chr.17, Chr.18); Cluster compactness (Chr.1, Chr.2, Chr.8, Chr.9, Chr.10, Chr.11, Chr.12, Chr.13, Chr.14, Chr.16, Chr.18)
2025	288	SNP (11115)	果实纵径（Chr.1、Chr.6、Chr.8、Chr.11、Chr.14、Chr.19）；果实横径（Chr.1、Chr.2、Chr.3、Chr.5、Chr.6、Chr.11、Chr.14）；果实单重（Chr.4、Chr.5、Chr.6、Chr.11、Chr.19）；穗长（Chr.3、Chr.7、Chr.8、Chr.14）；穗宽（Chr.3、Chr.4、Chr.6、Chr.7、Chr.15、Chr.18）；穗重（Chr.1、Chr.9、Chr.10） Berry length (Chr.1, Chr.6, Chr.8, Chr.11, Chr.14, Chr.19); Berry width (Chr.1, Chr.2, Chr.3, Chr.5, Chr.6, Chr.11, Chr.14); Berry weight (Chr.4, Chr.5, Chr.6, Chr.11, Chr.19); Cluster length (Chr.3, Chr.7, Chr.8, Chr.14); Cluster width (Chr.3, Chr.4, Chr.6, Chr.7, Chr.15, Chr.18); Cluster weight (Chr.1, Chr.9, Chr.10)	[114]
2025	116	SNP (70335)	果穗紧密度（Chr.2、Chr.4、Chr.5、Chr.6、Chr.14、Chr.17、Chr.18） Cluster compactness (Chr.2, Chr.4, Chr.5, Chr.6, Chr.14, Chr.17, Chr.18)	[115]
2025	120	SNP (5848986)	果皮硬度（Chr.4、Chr.6、Chr.14）；果肉硬度（Chr.2、Chr.15）；果皮纤维素含量（除了Chr.7外，其他染色体均有分布）；果肉纤维素含量（Chr.1、Chr.2、Chr.3、Chr.5、Chr.6、Chr.10、Chr.12、Chr.14、Chr.16、Chr.18） Pericarp hardness (Chr.4, Chr.6,Chr.14); Mericarp hardness (Chr.2, Chr.15)； Pericarp cellulose content (distributed on all the Chrs except Chr.7); Mericarp cellulose content (Chr.1, Chr.2, Chr.3, Chr.5, Chr.6, Chr.10, Chr.12, Chr.14, Chr.16, Chr.18)	[127]
2025	149(F₁)	SNP (568953)	单萜（Chr.1、Chr.4、Chr.5、Chr.19、Chr.0（未知染色体）） Monoterpenes (Chr.1, Chr.4, Chr.5, Chr.19, Chr.0 (unkown))	[131]

表3

参考文献 140

[1]	ZADRAVEC P, VEBERIC R, STAMPAR F, ELER K, SCHMITZER V. Fruit size prediction of four apple cultivars: Accuracy and timing. Scientia Horticulturae, 2013, 160: 177-181. doi: 10.1016/j.scienta.2013.05.046
[2]	张演义, 宋长年, 房经贵, 刘洪, 王西成, 李晓颖. 鲜食葡萄品种资源果实性状分析及育种目标的制定. 浙江农业学报, 2012, 24(4): 567-573.
	ZHANG Y Y, SONG C N, FANG J G, LIU H, WANG X C, LI X Y. Statistical analysis of some important fruit characters on table grape variety resources and setting of breeding goal. Acta Agriculturae Zhejiangensis, 2012, 24(4): 567-573. (in Chinese)
[3]	张培安, 樊秀彩, 刘众杰, 吴伟民, 刘崇怀, 房经贵. 葡萄种质资源果形性状的分析. 园艺学报, 2018, 45(8): 1456-1466. doi: 10.16420/j.issn.0513-353x.2017-0709
	ZHANG P A, FAN X C, LIU Z J, WU W M, LIU C H, FANG J G. Investigation and analysis on the berry shape of grape germplasm resources. Acta Horticulturae Sinica, 2018, 45(8): 1456-1466. (in Chinese) doi: 10.16420/j.issn.0513-353x.2017-0709
[4]	DOLIGEZ A, BOUQUET A, DANGLOT Y, LAHOGUE F, RIAZ S, MEREDITH P, EDWARDS J, THIS P. Genetic mapping of grapevine (Vitis vinifera L.) applied to the detection of QTLs for seedlessness and berry weight. Theoretical and Applied Genetics, 2002, 105(5): 780-795. doi: 10.1007/s00122-002-0951-z
[5]	DOLIGEZ A, BERTRAND Y, FARNOS M, GROLIER M, ROMIEU C, ESNAULT F, DIAS S, BERGER G, FRANÇOIS P, PONS T, et al. New stable QTLs for berry weight do not colocalize with QTLs for seed traits in cultivated grapevine (Vitis vinifera L.). BMC Plant Biology, 2013, 13: 217. doi: 10.1186/1471-2229-13-217
[6]	WANG H L, YAN A L, WANG X Y, ZHANG G J, LIU Z H, XU H Y, SUN L. Identification of QTLs and candidate genes controlling berry size in table grape by integrating QTL and transcriptomic analysis. Scientia Horticulturae, 2022, 305: 111403. doi: 10.1016/j.scienta.2022.111403
[7]	DE SOUSA MOREIRA L, CLARK M D, TABB A, KARN A, LONDO J P, ZOU C, SUN Q, VAN ZYL S, PRINS B, DELONG J D, et al. Identification of novel quantitative trait loci associated with table grape fruit quality characteristics in a segregating population and transferability of existing quality markers. Journal of the American Society for Horticultural Science, 2024, 149(1): 50-60. doi: 10.21273/JASHS05334-23
[8]	WANG H L, YAN A L, SUN L, ZHANG G J, WANG X Y, REN J C, XU H Y. Novel stable QTLs identification for berry quality traits based on high-density genetic linkage map construction in table grape. BMC Plant Biology, 2020, 20(1): 411. doi: 10.1186/s12870-020-02630-x pmid: 32883214
[9]	CORREA J, RAVEST G, LABORIE D, MAMANI M, TORRES E, MUÑOZ C, PINTO M, HINRICHSEN P. Quantitative trait loci for the response to gibberellic acid of berry size and seed mass in tablegrape (Vitis vinifera L.). Australian Journal of Grape and Wine Research, 2015, 21(3): 496-507. doi: 10.1111/ajgw.2015.21.issue-3
[10]	BAN Y, MITANI N, SATO A, KONO A, HAYASHI T. Genetic dissection of quantitative trait loci for berry traits in interspecific hybrid grape (Vitis labruscana × Vitis vinifera). Euphytica, 2016, 211(3): 295-310. doi: 10.1007/s10681-016-1737-8
[11]	刘崇怀, 沈育杰, 陈俊, 郭景南, 潘兴, 樊秀彩, 赵淑兰, 马小河, 杨义明, 李晓红, 等. 葡萄种质资源描述规范和数据标准. 北京: 中国农业出版社, 2006.
	LIU C H, SHEN Y J, CHEN J, GUO J N, PAN X, FAN X C, ZHAO S L, MA X H, YANG Y M, LI X H, et al.Descriptors and Data Standard for Grape (Vitis L.). Beijing: China Agriculture Press, 2006. (in Chinese)
[12]	王勇, 苏来曼·艾则孜, 李玉玲, 孙锋, 伍国红, 骆强伟, 肯吉古丽·苏力旦. ‘火州黑玉’葡萄杂交后代果实性状遗传倾向分析. 西北植物学报, 2015, 35(2): 275-281.
	WANG Y, SULAIMAN A Z Z, LI Y L, SUN F, WU G H, LUO Q W, KENJIGULI S L D. Inheritance trend of the fruit traits of ‘Huozhouheiyu' grape. Acta Botanica Boreali-Occidentalia Sinica, 2015, 35(2): 275-281. (in Chinese)
[13]	李晓梅, 谭伟, 董志刚, 唐晓萍. 鲜食葡萄杂交后代果肉质地表型遗传分析. 中国农学通报, 2015, 31(16): 73-77. doi: 10.11924/j.issn.1000-6850.casb14120019
	LI X M, TAN W, DONG Z G, TANG X P. Analysis of inheritance in flesh texture phenotype of table grape hybrids. Chinese Agricultural Science Bulletin, 2015, 31(16): 73-77. (in Chinese) doi: 10.11924/j.issn.1000-6850.casb14120019
[14]	刘诗佳. 葡萄果实糖酸含量及硬度遗传趋势分析[D]. 沈阳: 沈阳农业大学, 2018.
	LIU S J. Inherited tendency analysis of sugar and acid content and hardness for grape berry[D]. Shenyang: Shenyang Agricultural University, 2018. (in Chinese)
[15]	LIN H, MA L, GUO Q Y, LIU C, HOU Y M, LIU Z D, ZHAO Y H, JIANG C Y, GUO X W, GUO Y S. Berry texture QTL and candidate gene analysis in grape (Vitis vinifera L.). Horticulture Research, 2023, 10(12): uhad226.
[16]	CARREÑO I, CABEZAS J A, MARTÍNEZ-MORA C, ARROYO- GARCÍA R, CENIS J L, MARTÍNEZ-ZAPATER J M, CARREÑO J, RUIZ-GARCÍA L. Quantitative genetic analysis of berry firmness in table grape (Vitis vinifera L.). Tree Genetics & Genomes, 2014, 11(1): 818.
[17]	JIANG J F, FAN X C, ZHANG Y, TANG X P, LI X M, LIU C H, ZHANG Z W. Construction of a high-density genetic map and mapping of firmness in grapes (Vitis vinifera L.) based on whole- genome resequencing. International Journal of Molecular Sciences, 2020, 21: 797. doi: 10.3390/ijms21030797
[18]	LIU H F, WU B H, FAN P G, LI S H, LI L S. Sugar and acid concentrations in 98 grape cultivars analyzed by principal component analysis. Journal of the Science of Food and Agriculture, 2006, 86(10): 1526-1536. doi: 10.1002/jsfa.v86:10
[19]	CHEN J, WANG N, FANG L C, LIANG Z C, LI S H, WU B H. Construction of a high-density genetic map and QTLs mapping for sugars and acids in grape berries. BMC Plant Biology, 2015, 15(1): 28. doi: 10.1186/s12870-015-0428-2
[20]	ZHAO Y H, GUO Y S, LIN H, LIU Z D, MA H F, GUO X W, LI K, YANG X X, NIU Z Z, SHI G G. Quantitative trait locus analysis of grape weight and soluble solid content. Genetics and Molecular Research, 2015, 14(3): 9872-9881. doi: 10.4238/2015.August.19.21 pmid: 26345921
[21]	MAMANI M, LÓPEZ M E, CORREA J, RAVEST G, HINRICHSEN P. Identification of stable quantitative trait loci and candidate genes for sweetness and acidity in tablegrape using a highly saturated single- nucleotide polymorphism-based linkage map. Australian Journal of Grape and Wine Research, 2021, 27(3): 308-324. doi: 10.1111/ajgw.v27.3
[22]	LIU H F, WU B H, FAN P G, XU H Y, LI S H. Inheritance of sugars and acids in berries of grape (Vitis vinifera L.). Euphytica, 2007, 153(1): 99-107. doi: 10.1007/s10681-006-9246-9
[23]	HOUEL C, CHATBANYONG R, DOLIGEZ A, RIENTH M, FORIA S, LUCHAIRE N, ROUX C, ADIVÈZE A, LOPEZ G, FARNOS M, et al. Identification of stable QTLs for vegetative and reproductive traits in the microvine (Vitis vinifera L.) using the 18 K infinium chip. BMC Plant Biology, 2015, 15: 205. doi: 10.1186/s12870-015-0588-0
[24]	BAYO-CANHA A, COSTANTINI L, FERNÁNDEZ-FERNÁNDEZ J I, MARTÍNEZ-CUTILLAS A, RUIZ-GARCÍA L. QTLs related to berry acidity identified in a wine grapevine population grown in warm weather. Plant Molecular Biology Reporter, 2019, 37(3): 157-169. doi: 10.1007/s11105-019-01145-6
[25]	DUCHÊNE É, DUMAS V, BUTTERLIN G, JAEGLI N, RUSTENHOLZ C, CHAUVEAU A, BÉRARD A, LE PASLIER M C, GAILLARD I, MERDINOGLU D. Genetic variations of acidity in grape berries are controlled by the interplay between organic acids and potassium. Theoretical and Applied Genetics, 2020, 133(3): 993-1008. doi: 10.1007/s00122-019-03524-9 pmid: 31932953
[26]	RESHEF N, KARN A, MANNS D C, MANSFIELD A K, CADLE-DAVIDSON L, REISCH B, SACKS G L. Stable QTL for malate levels in ripe fruit and their transferability across Vitis species. Horticulture Research, 2022, 9: uhac009.
[27]	NEGUS K L, CHEN L L, FRESNEDO-RAMÍREZ J, SCOTT H A, SACKS G L, CADLE-DAVIDSON L, HWANG C F. Identification of QTLs for berry acid and tannin in a Vitis aestivalis-derived 'Norton'- based population. Fruit Research, 2021, 1(1): 1-11.
[28]	THIS P, LACOMBE T, CADLE-DAVIDSON M, OWENS C L.Wine grape (Vitis vinifera L.) color associates with allelic variation in the domestication gene VvmybA1. Theoretical and Applied Genetics, 2007, 114(4): 723-730. doi: 10.1007/s00122-006-0472-2
[29]	FOURNIER-LEVEL A, LE CUNFF L, GOMEZ C, DOLIGEZ A, AGEORGES A, ROUX C, BERTRAND Y, SOUQUET J M, CHEYNIER V, THIS P. Quantitative genetic bases of anthocyanin variation in grape (Vitis vinifera L. ssp. sativa) berry: A quantitative trait locus to quantitative trait nucleotide integrated study. Genetics, 2009, 183(3): 1127-1139. doi: 10.1534/genetics.109.103929
[30]	LIANG Z C, WU B H, FAN P G, YANG C X, DUAN W, ZHENG X B, LIU C Y, LI S H. Anthocyanin composition and content in grape berry skin in Vitis germplasm. Food Chemistry, 2008, 111(4): 837-844. doi: 10.1016/j.foodchem.2008.04.069
[31]	VIANA A P, RIAZ S, WALKER M A. Genetic dissection of agronomic traits within a segregating population of breeding table grapes. Genetics and Molecular Research, 2013, 12(2): 951-964.
[32]	BAN Y, MITANI N, HAYASHI T, SATO A, AZUMA A, KONO A, KOBAYASHI S. Exploring quantitative trait loci for anthocyanin content in interspecific hybrid grape (Vitis labruscana × Vitis vinifera). Euphytica, 2014, 198(1): 101-114. doi: 10.1007/s10681-014-1087-3
[33]	AZUMA A, BAN Y, SATO A, KONO A, SHIRAISHI M, YAKUSHIJI H, KOBAYASHI S. MYB diplotypes at the color locus affect the ratios of tri/di-hydroxylated and methylated/non-methylated anthocyanins in grape berry skin. Tree Genetics & Genomes, 2015, 11(2): 31.
[34]	COSTANTINI L, MALACARNE G, LORENZI S, TROGGIO M, MATTIVI F, MOSER C, GRANDO M S. New candidate genes for the fine regulation of the colour of grapes. Journal of Experimental Botany, 2015, 66(15): 4427-4440. doi: 10.1093/jxb/erv159 pmid: 26071528
[35]	SUN L, LI S C, JIANG J F, TANG X P, FAN X C, ZHANG Y, LIU J H, LIU C H. New quantitative trait locus (QTLs) and candidate genes associated with the grape berry color trait identified based on a high-density genetic map. BMC Plant Biology, 2020, 20(1): 302. doi: 10.1186/s12870-020-02517-x pmid: 32605636
[36]	LEDBETTER C A, BURGOS L. Inheritance of stenospermocarpic seedlessness in Vitis vinifera L.. Journal of Heredity, 1994, 85: 157-160. doi: 10.1093/oxfordjournals.jhered.a111419
[37]	SPIEGEL-ROY P, BARON Y, SAHAR N. Inheritance of seedlessness in seeded × seedless progeny of Vitis vinifera L.. Vitis, 1990, 29: 79-83.
[38]	LAHOGUE F, THIS P, BOUQUET A. Identification of a codominant scar marker linked to the seedlessness character in grapevine. Theoretical and Applied Genetics, 1998, 97(5): 950-959. doi: 10.1007/s001220050976
[39]	王慧玲, 闫爱玲, 王晓玥, 刘振华, 任建成, 徐海英, 孙磊. 葡萄果粒质量相关性状全基因组关联分析. 中国农业科学, 2023, 56(8): 1561-1573. doi: 10.3864/j.issn.0578-1752.2023.08.011.
	WANG H L, YAN A L, WANG X Y, LIU Z H, REN J C, XU H Y, SUN L. Genome-wide association studies for grape berry weight related traits. Scientia Agricultura Sinica, 2023, 56(8): 1561-1573. doi: 10.3864/j.issn.0578-1752.2023.08.011. (in Chinese)
[40]	CABEZAS J A, CERVERA M T, RUIZ-GARCÍA L, CARREÑO J, MARTÍNEZ-ZAPATER J M. A genetic analysis of seed and berry weight in grapevine. Genome, 2006, 49(12): 1572-1585. doi: 10.1139/g06-122 pmid: 17426772
[41]	MEJÍA N, GEBAUER M, MUÑOZ L, HEWSTONE N, MUÑOZ C, HINRICHSEN P. Identification of QTLs for seedlessness, berry size, and ripening date in a seedless × seedless table grape progeny. American Journal of Enology and Viticulture, 2007, 58(4): 499-507. doi: 10.5344/ajev.2007.58.4.499
[42]	COSTANTINI L, BATTILANA J, LAMAJ F, FANIZZA G, GRANDO M S.Berry and phenology-related traits in grapevine (Vitis vinifera L.): From Quantitative Trait Loci to underlying genes. BMC Plant Biology, 2008, 8(1): 38. doi: 10.1186/1471-2229-8-38
[43]	LIN J, MASSONNET M, CANTU D. The genetic basis of grape and wine aroma. Horticulture Research, 2019, 6: 81. doi: 10.1038/s41438-019-0163-1 pmid: 31645942
[44]	DOLIGEZ A, AUDIOT E, BAUMES R, THIS P. QTLs for Muscat flavor and monoterpenic odorant content in grapevine (Vitis vinifera L.). Molecular Breeding, 2006, 18(2): 109-125. doi: 10.1007/s11032-006-9016-3
[45]	RUIZ-GARCÍA L, HELLÍN P, FLORES P, FENOLL J. Prediction of Muscat aroma in table grape by analysis of rose oxide. Food Chemistry, 2014, 154: 151-157. doi: 10.1016/j.foodchem.2014.01.005
[46]	BATTILANA J, COSTANTINI L, EMANUELLI F, SEVINI F, SEGALA C, MOSER S, VELASCO R, VERSINI G, GRANDO M S. The 1-deoxy-d-xylulose 5-phosphate synthase gene co-localizes with a major QTL affecting monoterpene content in grapevine. Theoretical and Applied Genetics, 2009, 118(4): 653-669. doi: 10.1007/s00122-008-0927-8
[47]	DUCHÊNE E, BUTTERLIN G, CLAUDEL P, DUMAS V, JAEGLI N, MERDINOGLU D.A grapevine (Vitis vinifera L.) deoxy-D: -xylulose synthase gene colocates with a major quantitative trait loci for terpenol content. Theoretical and Applied Genetics, 2009, 118(3): 541-552. doi: 10.1007/s00122-008-0919-8
[48]	王晓玥, 张国军, 孙磊, 赵印, 闫爱玲, 王慧玲, 任建成, 徐海英. 2种架式对3个鲜食葡萄品种栽培性状及果实品质的影响. 中国农业科学, 2019, 52(7): 1150-1163. doi: 10.3864/j.issn.0578-1752.2019.07.003.
	WANG X Y, ZHANG G J, SUN L, ZHAO Y, YAN A L, WANG H L, REN J C, XU H Y. Effects of two trellis systems on viticultural characteristics and fruit quality of three table grape cultivars. Scientia Agricultura Sinica, 2019, 52(7): 1150-1163. doi: 10.3864/j.issn.0578-1752.2019.07.003. (in Chinese)
[49]	王慧玲, 王晓玥, 闫爱玲, 孙磊, 张国军, 任建成, 徐海英. 不同架式‘爱神玫瑰’葡萄果实成熟期间单萜积累及相关基因的表达. 中国农业科学, 2019, 52(7): 1136-1149. doi: 10.3864/j.issn.0578-1752.2019.07.002.
	WANG H L, WANG X Y, YAN A L, SUN L, ZHANG G J, REN J C, XU H Y. The accumulation of monoterpenes and the expression of its biosynthesis related genes in ‘aishen Meigui’ grape berries cultivated in different trellis systems during ripening stage. Scientia Agricultura Sinica, 2019, 52(7): 1136-1149. doi: 10.3864/j.issn.0578-1752.2019.07.002. (in Chinese)
[50]	VANDERWEIDE J, NASROLLAHIAZAR E, SCHULTZE S, SABBATINI P, CASTELLARIN S D. Impact of cluster thinning on wine grape yield and fruit composition: A review and meta-analysis. Australian Journal of Grape and Wine Research, 2024, 2024(1): 2504396.
[51]	JAMES A, MAHINDA A, MWAMAHONJE A, RWEYEMAMU E W, MREMA E, ALOYS K, SWAI E, MPORE F J, MASSAWE C. A review on the influence of fertilizers application on grape yield and quality in the tropics. Journal of Plant Nutrition, 2023, 46(12): 2936-2957. doi: 10.1080/01904167.2022.2160761
[52]	CRUPI P, ALBA V, MASI G, CAPUTO A R, TARRICONE L. Effect of two exogenous plant growth regulators on the color and quality parameters of seedless table grape berries. Food Research International, 2019, 126: 108667. doi: 10.1016/j.foodres.2019.108667
[53]	LI L, YAN W J, YAO H D, LI H, GUO X Z, CHENG D W, SUN J L, CHEN J Y. Influences of two plant growth regulators on the fruit quality of the ‘crimson seedless’ grapes. Journal of Plant Growth Regulation, 2023, 42(2): 771-779. doi: 10.1007/s00344-022-10585-6
[54]	WANG X Y, WANG H L, ZHANG G J, YAN A L, REN J C, LIU Z H, XU H Y, SUN L. Effects of fruit bagging treatment with different types of bags on the contents of phenolics and monoterpenes in Muscat-flavored table grapes. Horticulturae, 2022, 8: 511. doi: 10.3390/horticulturae8060511
[55]	PONS A, ALLAMY L, SCHÜTTLER A, RAUHUT D, THIBON C, DARRIET P. What is the expected impact of climate change on wine aroma compounds and their precursors in grape. OENO One, 2017, 51(2): 141. doi: 10.20870/oeno-one.2017.51.2.1868
[56]	MIRÁS-AVALOS J M, INTRIGLIOLO D S. Grape composition under abiotic constrains: water stress and salinity. Frontiers in Plant Science, 2017, 8: 851. doi: 10.3389/fpls.2017.00851
[57]	ACEVEDO-OPAZO C, ORTEGA-FARIAS S, FUENTES S. Effects of grapevine (Vitis vinifera L.) water status on water consumption, vegetative growth and grape quality: An irrigation scheduling application to achieve regulated deficit irrigation. Agricultural Water Management, 2010, 97(7): 956-964. doi: 10.1016/j.agwat.2010.01.025
[58]	WEEDEN N F. Approaches to mapping in horticultural crops// GRESSHOFF P M. Plant Genome Analysis. Boca Raton, Fla., U.S.A: CRC Press, 1994.
[59]	CRESPAN M, MIGLIARO D, VEZZULLI S, ZENONI S, TORNIELLI G B, GIACOSA S, PAISSONI M A, RÍO SEGADE S, ROLLE L. A Major QTL is associated with berry grape texture characteristics. OENO One, 2021, 55(1): 183-206. doi: 10.20870/oeno-one.2021.55.1.3994
[60]	FISCHER B M, SALAKHUTDINOV I, AKKURT M, EIBACH R, EDWARDS K J, TÖPFER R, ZYPRIAN E M. Quantitative trait locus analysis of fungal disease resistance factors on a molecular map of grapevine. Theoretical and Applied Genetics, 2004, 108(3): 501-515. doi: 10.1007/s00122-003-1445-3
[61]	FANIZZA G, LAMAJ F, COSTANTINI L, CHAABANE R, GRANDO M S. QTL analysis for fruit yield components in table grapes (Vitis vinifera). Theoretical and Applied Genetics, 2005, 111(4): 658-664. doi: 10.1007/s00122-005-2016-6 pmid: 15995866
[62]	RICHTER R, GABRIEL D, RIST F, TÖPFER R, ZYPRIAN E. Identification of co-located QTLs and genomic regions affecting grapevine cluster architecture. Theoretical and Applied Genetics, 2019, 132(4): 1159-1177. doi: 10.1007/s00122-018-3269-1 pmid: 30569367
[63]	SHARMA S, MUNOZ J R, TORRES-LOMAS E, LIN J, BANAYAD H, LUPO Y, NUNEZ V, GASPAR A, CANTU D, DIAZ-GARCIA L. Leveraging foundation models to dissect the genetic basis of cluster compactness and yield in grapevine. Scientific Reports, 2026, 16: 1434. doi: 10.1038/s41598-025-31531-y
[64]	TELLO J, TORRES-PÉREZ R, GRIMPLET J, CARBONELL- BEJERANO P, MARTÍNEZ-ZAPATER J M, IBÁÑEZ J. Polymorphisms and minihaplotypes in the VvNAC26 gene associate with berry size variation in grapevine. BMC Plant Biology, 2015, 15(1): 253. doi: 10.1186/s12870-015-0622-2
[65]	MUÑOZ-ESPINOZA C, DI GENOVA A, SÁNCHEZ A, CORREA J, ESPINOZA A, MENESES C, MAASS A, ORELLANA A, HINRICHSEN P. Identification of SNPs and InDels associated with berry size in table grapes integrating genetic and transcriptomic approaches. BMC Plant Biology, 2020, 20(1): 365. doi: 10.1186/s12870-020-02564-4
[66]	WU Y D, WANG Y, FAN X C, ZHANG Y, JIANG J F, SUN L, LUO Q W, SUN F, LIU C H. QTL mapping for berry shape based on a high-density genetic map constructed by whole-genome resequencing in grape. Horticultural Plant Journal, 2023, 9(4): 729-742. doi: 10.1016/j.hpj.2022.11.005
[67]	ZHANG Y Y, WANG Y J, HENKE M, CARBONELL-BEJERANO P, WANG Z M, BERT P F, WANG Y, LI H Y, KONG J H, FAN P G, et al. Integrating dense genotyping with high-throughput phenotyping empowers the genetic dissection of berry quality and resilience traits in grapevine. Advanced Science, 2025, 12(29): 2412587. doi: 10.1002/advs.v12.29
[68]	CORREA J, MAMANI M, MUÑOZ-ESPINOZA C, GONZÁLEZ- AGÜERO M, DEFILIPPI B G, CAMPOS-VARGAS R, PINTO M, HINRICHSEN P. New stable QTLs for berry firmness in table grapes. American Journal of Enology and Viticulture, 2016, 67(2): 212-217. doi: 10.5344/ajev.2015.15049
[69]	BURHANS A, NAEGELE R P. Bulk sample evaluation of grape berry texture identifies differences among breeding lines and cultivars and identifies novel QTL associated with berry texture and juiciness. American Journal of Enology and Viticulture, 2025, 76(2): 0760018. doi: 10.5344/ajev.2025.24060
[70]	YANG S S, FRESNEDO-RAMÍREZ J, SUN Q, MANNS D C, SACKS G L, MANSFIELD A K, LUBY J J, LONDO J P, REISCH B I, CADLE-DAVIDSON L E, et al. Next generation mapping of enological traits in an F₂ interspecific grapevine hybrid family. PLoS ONE, 2016, 11(3): e0149560. doi: 10.1371/journal.pone.0149560
[71]	KOBAYASHI S, GOTO-YAMAMOTO N, HIROCHIKA H. Retrotransposon-induced mutations in grape skin color. Science, 2004, 304(5673): 982. doi: 10.1126/science.1095011 pmid: 15143274
[72]	WALKER A R, LEE E, BOGS J, MCDAVID D A J, THOMAS M R, ROBINSON S P. White grapes arose through the mutation of two similar and adjacent regulatory genes. The Plant Journal, 2007, 49(5): 772-785. doi: 10.1111/tpj.2007.49.issue-5
[73]	HUANG Y F, BERTRAND Y, GUIRAUD J L, VIALET S, LAUNAY A, CHEYNIER V, TERRIER N, THIS P. Expression QTL mapping in grapevine: Revisiting the genetic determinism of grape skin colour. Plant Science, 2013, 207: 18-24. doi: 10.1016/j.plantsci.2013.02.011
[74]	UNDERHILL A N, HIRSCH C D, CLARK M D. Evaluating and mapping grape color using image-based phenotyping. Plant Phenomics, 2020, 2020: 8086309. doi: 10.34133/2020/8086309
[75]	FOURNIER-LEVEL A, HUGUENEY P, VERRIÈS C, THIS P, AGEORGES A. Genetic mechanisms underlying the methylation level of anthocyanins in grape (Vitis vinifera L.). BMC Plant Biology, 2011, 11(1): 179. doi: 10.1186/1471-2229-11-179
[76]	GUO Y S, XUE R Y, LIN H, SU K, ZHAO Y H, LIU Z D, MAO H F, SHI G L, NIU Z Z, LI K, GUO X W. Genetic analysis and QTL mapping for fruit skin anthocyanidin in grape (Vitis vinifera). Pakistan Journal of Botany, 2015, 47: 1765-1771.
[77]	LEWTER J, WORTHINGTON M L, CLARK J R, VARANASI A V, NELSON L, OWENS C L, CONNER P, GUNAWAN G. High-density linkage maps and loci for berry color and flower sex in muscadine grape (Vitis rotundifolia). Theoretical and Applied Genetics, 2019, 132(5): 1571-1585. doi: 10.1007/s00122-019-03302-7 pmid: 30756127
[78]	MEJÍA N, SOTO B, GUERRERO M, CASANUEVA X, HOUEL C, DE LOS ÁNGELES MICCONO M, RAMOS R, LE CUNFF L, BOURSIQUOT J M, HINRICHSEN P, et al. Molecular, genetic and transcriptional evidence for a role of VvAGL11 in stenospermocarpic seedlessness in grapevine. BMC Plant Biology, 2011, 11(1): 57. doi: 10.1186/1471-2229-11-57
[79]	ROYO C, TORRES-PÉREZ R, MAURI N, DIESTRO N, CABEZAS J A, MARCHAL C, LACOMBE T, IBÁÑEZ J, TORNEL M, CARREÑO J, et al. The major origin of seedless grapes is associated with a missense mutation in the MADS-box gene VviAGL11. Plant Physiology, 2018, 177(3): 1234-1253. doi: 10.1104/pp.18.00259
[80]	OCAREZ N, JIMÉNEZ N, NÚÑEZ R, PERNIOLA R, MARSICO A D, CARDONE M F, BERGAMINI C, MEJÍA N. Unraveling the deep genetic architecture for seedlessness in grapevine and the development and validation of a new set of markers for VviAGL11-based gene- assisted selection. Genes, 2020, 11(2): 151. doi: 10.3390/genes11020151
[81]	WANG L, ZHANG S L, JIAO C, LI Z, LIU C H, WANG X P. QTL-seq analysis of the seed size trait in grape provides new molecular insights on seedlessness. Journal of Integrative Agriculture, 2022, 21(10): 2910-2925. doi: 10.1016/j.jia.2022.07.047
[82]	WAGNER R. Etude de quelques disjonctions dans des descendances de Chasselas, Muscat Ottonel et Muscat a` petits grains. Vitis, 1967, 6: 353-363.
[83]	HIRAKAWA N, YAMANE H, SATO A. Inheritance of Muscat and Labrusca flavors in grapes. Bulletin of the Fruit Tree Research Station, 1998, 11: 53-62.
[84]	EMANUELLI F, BATTILANA J, COSTANTINI L, LE CUNFF L, BOURSIQUOT J M, THIS P, GRANDO M S. A candidate gene association study on Muscat flavor in grapevine (Vitis vinifera L.). BMC Plant Biology, 2010, 10(1): 241. doi: 10.1186/1471-2229-10-241
[85]	BATTILANA J, EMANUELLI F, GAMBINO G, GRIBAUDO I, GASPERI F, BOSS P K, GRANDO M S. Functional effect of grapevine 1-deoxy-D-xylulose 5-phosphate synthase substitution K284N on Muscat flavour formation. Journal of Experimental Botany, 2011, 62(15): 5497-5508. doi: 10.1093/jxb/err231 pmid: 21868399
[86]	EMANUELLI F, SORDO M, LORENZI S, BATTILANA J, GRANDO M S. Development of user-friendly functional molecular markers for VvDXS gene conferring Muscat flavor in grapevine. Molecular Breeding, 2014, 33(1): 235-241. doi: 10.1007/s11032-013-9929-6
[87]	LIN H, GUO Y S, YANG X X, KONDO S, ZHAO Y H, LIU Z D, LI K, GUO X W. QTL identification and candidate gene identification for monoterpene content in grape (Vitis vinifera L.) berries. Vitis: Journal of Grapevine Research, 2020, 59: 19-28.
[88]	ZHANG Y Y, LIU C X, LIU X J, WANG Z M, WANG Y, ZHONG G Y, LI S H, DAI Z W, LIANG Z C, FAN P G. Basic leucine zipper gene VvbZIP61 is expressed at a quantitative trait locus for high monoterpene content in grape berries. Horticulture Research, 2023, 10(9): uhad151.
[89]	KOYAMA K, KONO A, BAN Y, BAHENA-GARRIDO S M, OHAMA T, IWASHITA K, FUKUDA H, GOTO-YAMAMOTO N. Genetic architecture of berry aroma compounds in a QTL (quantitative trait loci) mapping population of interspecific hybrid grapes (Vitis labruscana × Vitis vinifera). BMC Plant Biology, 2022, 22(1): 458. doi: 10.1186/s12870-022-03842-z
[90]	BOSMAN R N, VERVALLE J A, NOVEMBER D L, BURGER P, LASHBROOKE J G. Grapevine genome analysis demonstrates the role of gene copy number variation in the formation of monoterpenes. Frontiers in Plant Science, 2023, 14: 1112214. doi: 10.3389/fpls.2023.1112214
[91]	王慧玲, 闫爱玲, 孙磊, 张国军, 王晓玥, 任建成, 徐海英. 鲜食葡萄果实单萜合成关键基因的eQTL分析. 中国农业科学, 2022, 55(5): 977-990. doi: 10.3864/j.issn.0578-1752.2022.05.011.
	WANG H L, YAN A L, SUN L, ZHANG G J, WANG X Y, REN J C, XU H Y. eQTL analysis of key monoterpene biosynthesis genes in table grape. Scientia Agricultura Sinica, 2022, 55(5): 977-990. doi: 10.3864/j.issn.0578-1752.2022.05.011. (in Chinese)
[92]	KOYAMA K, KONO A, BAN Y, IWASHITA K, GOTO-YAMAMOTO N. Genetic architecture underlying proanthocyanidin composition in American hybrid grapes. American Journal of Enology and Viticulture, 2023, 74(1): 0740016. doi: 10.5344/ajev.2023.22046
[93]	HUANG Y F, DOLIGEZ A, FOURNIER-LEVEL A, LE CUNFF L, BERTRAND Y, CANAGUIER A, MOREL C, MIRALLES V, VERAN F, SOUQUET J M, et al. Dissecting genetic architecture of grape proanthocyanidin composition through quantitative trait locus mapping. BMC Plant Biology, 2012, 12(1): 30. doi: 10.1186/1471-2229-12-30
[94]	CARDOSO S, LAU W, EIRAS DIAS J, FEVEREIRO P, MANIATIS N. A candidate-gene association study for berry colour and anthocyanin content in Vitis vinifera L. PLoS ONE, 2012, 7(9): e46021. doi: 10.1371/journal.pone.0046021
[95]	CARRIER G, HUANG Y F, LE CUNFF L, FOURNIER-LEVEL A, VIALET S, SOUQUET J M, CHEYNIER V, TERRIER N, THIS P. Selection of candidate genes for grape proanthocyanidin pathway by an integrative approach. Plant Physiology and Biochemistry, 2013, 72: 87-95. doi: 10.1016/j.plaphy.2013.04.014 pmid: 23684499
[96]	YANG X X, GUO Y S, ZHU J C, SHI G L, NIU Z Z, LIU Z D, LI K, GUO X W. Associations between the 1-deoxy-d-xylulose-5-phosphate synthase gene and aroma in different grapevine varieties. Genes & Genomics, 2017, 39(10): 1059-1067.
[97]	YANG X X, GUO Y S, ZHU J C, MA N, SUN T, LIU Z D, LI K, GUO X W. Associations between the α-terpineol synthase gene and α-terpineol content in different grapevine varieties. Biotechnology & Biotechnological Equipment, 2017, 31(6): 1100-1105.
[98]	HOUEL C, BOUNON R, CHAÏB J, GUICHARD C, PÉROS J P, BACILIERI R, DEREEPER A, CANAGUIER A, LACOMBE T, N’DIAYE A, et al. Patterns of sequence polymorphism in the fleshless berry locus in cultivated and wild Vitis vinifera accessions. BMC Plant Biology, 2010, 10(1): 284. doi: 10.1186/1471-2229-10-284
[99]	TELLO J, TORRES-PÉREZ R, FLUTRE T, GRIMPLET J, IBÁÑEZ J. VviUCC 1 nucleotide diversity, linkage disequilibrium and association with Rachis architecture traits in grapevine. Genes, 2020, 11(6): 598. doi: 10.3390/genes11060598
[100]	VARGAS A M, FAJARDO C, BORREGO J, DE ANDRÉS M T, IBÁÑEZ J. Polymorphisms in VvPel associate with variation in berry texture and bunch size in the grapevine. Australian Journal of Grape and Wine Research, 2013, 19(2): 193-207. doi: 10.1111/ajgw.12029
[101]	VARGAS A M, LE CUNFF L, THIS P, IBÁÑEZ J, DE ANDRÉS M T. VvGAI 1 polymorphisms associate with variation for berry traits in grapevine. Euphytica, 2013, 191(1): 85-98. doi: 10.1007/s10681-013-0866-6
[102]	FERNANDEZ L, LE CUNFF L, TELLO J, LACOMBE T, BOURSIQUOT J M, FOURNIER-LEVEL A, BRAVO G, LALET S, TORREGROSA L, THIS P, et al. Haplotype diversity of VvTFL1A gene and association with cluster traits in grapevine (V. vinifera). BMC Plant Biology, 2014, 14: 209. doi: 10.1186/s12870-014-0209-3
[103]	TELLO J, TORRES-PÉREZ R, GRIMPLET J, IBÁÑEZ J. Association analysis of grapevine bunch traits using a comprehensive approach. Theoretical and Applied Genetics, 2016, 129(2): 227-242. doi: 10.1007/s00122-015-2623-9 pmid: 26536891
[104]	ZINELABIDINE L H, TORRES-PÉREZ R, GRIMPLET J, BAROJA E, IBÁÑEZ S, CARBONELL-BEJERANO P, MARTÍNEZ-ZAPATER J M, IBÁÑEZ J, TELLO J. Genetic variation and association analyses identify genes linked to fruit set-related traits in grapevine. Plant Science, 2021, 306: 110875. doi: 10.1016/j.plantsci.2021.110875
[105]	MYLES S, BOYKO A R, OWENS C L, BROWN P J, GRASSI F, ARADHYA M K, PRINS B, REYNOLDS A, CHIA J M, WARE D, et al. Genetic structure and domestication history of the grape. Proceedings of the National Academy of Sciences of the United States of America, 2011, 108(9): 3530-3535.
[106]	MIGICOVSKY Z, SAWLER J, GARDNER K M, ARADHYA M K, PRINS B H, SCHWANINGER H R, BUSTAMANTE C D, BUCKLER E S, ZHONG G Y, BROWN P J, et al. Patterns of genomic and phenomic diversity in wine and table grapes. Horticulture Research, 2017, 4: 17035. doi: 10.1038/hortres.2017.35 pmid: 28791127
[107]	MARRANO A, MICHELETTI D, LORENZI S, NEALE D, GRANDO M S. Genomic signatures of different adaptations to environmental stimuli between wild and cultivated Vitis vinifera L.. Horticulture Research, 2018, 5: 34. doi: 10.1038/s41438-018-0041-2
[108]	LAUCOU V, LAUNAY A, BACILIERI R, LACOMBE T, ADAM- BLONDON A F, BÉRARD A, CHAUVEAU A, DE ANDRÉS M T, HAUSMANN L, IBÁÑEZ J, et al. Extended diversity analysis of cultivated grapevine Vitis vinifera with 10K genome-wide SNPs. PLoS ONE, 2018, 13(2): e0192540. doi: 10.1371/journal.pone.0192540
[109]	GUO D L, ZHAO H L, LI Q, ZHANG G H, JIANG J F, LIU C H, YU Y H. Genome-wide association study of berry-related traits in grape [Vitis vinifera L.] based on genotyping-by-sequencing markers. Horticulture Research, 2019, 6: 11. doi: 10.1038/s41438-018-0089-z
[110]	LIANG Z C, DUAN S C, SHENG J, ZHU S S, NI X M, SHAO J H, LIU C H, NICK P, DU F, FAN P G, et al. Whole-genome resequencing of 472 Vitis accessions for grapevine diversity and demographic history analyses. Nature Communications, 2019, 10: 1190. doi: 10.1038/s41467-019-09135-8
[111]	FLUTRE T, LE CUNFF L, FODOR A, LAUNAY A, ROMIEU C, BERGER G, BERTRAND Y, TERRIER N, BECCAVIN I, BOUCKENOOGHE V, et al. A genome-wide association and prediction study in grapevine deciphers the genetic architecture of multiple traits and identifies genes under many new QTLs. G3, 2022, 12(7): jkac103.
[112]	THORAT K D, UPADHYAY A, SAMARTH R R, MACHCHHINDRA S R, JAGTAP M A, KUSHWAHA K, KESHARWANI P K, GAIKWAD P S, GAWANDE D N, SOMKUWAR R G. Genome-wide association analysis to identify genomic regions and predict candidate genes for bunch traits in grapes (Vitis vinifera L.). Scientia Horticulturae, 2024, 328: 112882. doi: 10.1016/j.scienta.2024.112882
[113]	GARCÍA-ABADILLO J, BARBA P, CARVALHO T, SOSA-ZUÑIGA V, LOZANO R, CARVALHO H F, GARCIA-ROJAS M, SALAZAR E, Y SÁNCHEZ J I. Dissecting the complex genetic basis of pre- and post-harvest traits in Vitis vinifera L using genome-wide association studies. Horticulture Research, 2024, 11(2): uhad283.
[114]	DE OLIVEIRA G L, FRANCISCO F R, DE MOURA Y A, NIEDERAUER G F, FRITSCHE-NETO R, DE SOUZA A P, FURLAN M F. Genome-wide association study in a diverse grapevine collection provides insights into the genetic basis of berry size and cluster architecture traits. PLoS ONE, 2026, 21(3): e0343491. doi: 10.1371/journal.pone.0343491
[115]	MENESES M, MUÑOZ-ESPINOZA C, REYES-IMPELLIZZERI S, SALAZAR E, MENESES C, HERZOG K, HINRICHSEN P. Characterization of bunch compactness in a diverse collection of Vitis vinifera L. genotypes enriched in table grape cultivars reveals new candidate genes associated with berry number. Plants, 2025, 14(9): 1308. doi: 10.3390/plants14091308
[116]	BORRELLI C, PRADO E, DUMAS V, ARNOLD G, ONIMUS C, BUTTERLIN G, JAEGLI N, WIEDEMANN-MERDINOGLU S, LACOMBE M C, DORNE M A, et al. Uncovering the genetic basis of agronomic traits in over 1,000 grapevine genotypes derived from a disease resistance breeding program. bioRxiv, 2025, https://doi.org/10.1101/2025.10.05.680539.
[117]	DONG Y, DUAN S C, XIA Q J, LIANG Z C, DONG X, MARGARYAN K, MUSAYEV M, GORYSLAVETS S, ZDUNIĆ G, BERT P F, et al. Dual domestications and origin of traits in grapevine evolution. Science, 2023, 379(6635): 892-901. doi: 10.1126/science.add8655 pmid: 36862793
[118]	LIU Z J, WANG N, SU Y, LONG Q M, PENG Y L, SHANGGUAN L F, ZHANG F, CAO S, WANG X, GE M Q, et al. Grapevine pangenome facilitates trait genetics and genomic breeding. Nature Genetics, 2024, 56(12): 2804-2814. doi: 10.1038/s41588-024-01967-5 pmid: 39496880
[119]	张恒, 刘众杰, 樊秀彩, 张川, 崔力文, 刘崇怀, 房经贵. 葡萄果粒形状简化基因组关联分析. 园艺学报, 2017, 44(10): 1959-1968. doi: 10.16420/j.issn.0513-353x.2016-0845
	ZHANG H, LIU Z J, FAN X C, ZHANG C, CUI L W, LIU C H, FANG J G. Genome-wide association mapping of berry shape traits via the reduced representation sequencing in grape. Acta Horticulturae Sinica, 2017, 44(10): 1959-1968. (in Chinese) doi: 10.16420/j.issn.0513-353x.2016-0845
[120]	ZHANG C, CUI L W, FANG J G. Genome-wide association study of the candidate genes for grape berry shape-related traits. BMC Plant Biology, 2022, 22(1): 42. doi: 10.1186/s12870-022-03434-x pmid: 35057757
[121]	ZHANG H, FAN X C, ZHANG Y, JIANG J F, LIU C H. Identification of favorable SNP alleles and candidate genes for seedlessness in Vitis vinifera L. using genome-wide association mapping. Euphytica, 2017, 213(7): 136. doi: 10.1007/s10681-017-1919-z
[122]	MAGRIS G, JURMAN I, FORNASIERO A, PAPARELLI E, SCHWOPE R, MARRONI F, DI GASPERO G, MORGANTE M. The genomes of 204 Vitis vinifera accessions reveal the origin of European wine grapes. Nature Communications, 2021, 12: 7240. doi: 10.1038/s41467-021-27487-y
[123]	KIM M S, HUR Y Y, KIM J H, JEONG S C. Genome resequencing, improvement of variant calling, and population genomic analyses provide insights into the seedlessness in the genus Vitis. G3, 2020, 10(9): 3365-3377. doi: 10.1534/g3.120.401521
[124]	WANG X, LIU Z J, ZHANG F, XIAO H, CAO S, XUE H, LIU W W, SU Y, LIU Z Y, ZHONG H X, et al. Integrative genomics reveals the polygenic basis of seedlessness in grapevine. Current Biology, 2024, 34(16): 3763-3777. doi: 10.1016/j.cub.2024.07.022
[125]	ZHANG C, YANG Y M, ZHANG S L, YADAV V, ZHONG H X, ZHANG F C, ZHOU X M, WU X Y, CAO X, CUI L W. Mining candidate genes for grape seed traits based on a genome-wide association study. Horticultural Plant Journal, 2025, 11(5): 1847-1864. doi: 10.1016/j.hpj.2024.02.015
[126]	LIN M L, SUN L, LIU X W, FAN X C, ZHANG Y, JIANG J F, LIU C H. Genome-wide association study of grape texture based on puncture. International Journal of Molecular Sciences, 2024, 25(23): 13065. doi: 10.3390/ijms252313065
[127]	HU L L, WU Y Y, YANG Z Y.Identifying candidate genes for grape (Vitis vinifera L.) fruit firmness through genome-wide association studies. Journal of Agricultural and Food Chemistry, 2025, 73(14): 8413-8425. doi: 10.1021/acs.jafc.5c00085
[128]	ZHANG C, WU J Y, CUI L W, FANG J G. Mining of candidate genes for grape berry cracking using a genome-wide association study. Journal of Integrative Agriculture, 2022, 21(8): 2291-2304. doi: 10.1016/S2095-3119(21)63881-9
[129]	YANG X X, GUO Y S, ZHU J C, NIU Z Z, SHI G L, LIU Z D, LI K, GUO X W. Genetic diversity and association study of aromatics in grapevine. Journal of the American Society for Horticultural Science, 2017, 142(3): 225-231. doi: 10.21273/JASHS04086-17
[130]	SUN Q, HE L, SUN L, XU H Y, FU Y Q, SUN Z Y, ZHU B Q, DUAN C Q, PAN Q H. Identification of SNP loci and candidate genes genetically controlling norisoprenoids in grape berry based on genome-wide association study. Frontiers in Plant Science, 2023, 14: 1142139. doi: 10.3389/fpls.2023.1142139
[131]	ZHANG H M, LYU X J, SUN Z Y, SUN Q, WANG Y C, SUN L, XU H Y, HE L, DUAN C Q, PAN Q H. GWAS identifies a molecular marker cluster associated with monoterpenoids in grapes. Horticulture Research, 2025, 12(9): uhaf144.
[132]	PARK M, VERA D, KAMBRIANDA D, GAJJAR P, CADLE- DAVIDSON L, TSOLOVA V, EL-SHARKAWY I. Chromosome-level genome sequence assembly and genome-wide association study of Muscadinia rotundifolia reveal the genetics of 12 berry-related traits. Horticulture Research, 2022, 9: uhab011.
[133]	ISMAIL A, GAJJAR P, PARK M, MAHBOOB A, TSOLOVA V, SUBRAMANIAN J, DARWISH A G, EL-SHARKAWY I. A recessive mutation in muscadine grapes causes berry color-loss without influencing anthocyanin pathway. Communications Biology, 2022, 5: 1012. doi: 10.1038/s42003-022-04001-8 pmid: 36153380
[134]	CARRASCO D, DE LORENZIS G, MAGHRADZE D, REVILLA E, BELLIDO A, FAILLA O, ARROYO-GARCÍA R. Allelic variation in the VvMYBA1 and VvMYBA2 domestication genes in natural grapevine populations (Vitis vinifera subsp. sylvestris). Plant Systematics and Evolution, 2015, 301(6): 1613-1624. doi: 10.1007/s00606-014-1181-y
[135]	LUCA L P, DI GUARDO M, BENNICI S, FERLITO F, NICOLOSI E, LA MALFA S, GENTILE A, DISTEFANO G. Development of an efficient molecular-marker assisted selection strategy for berry color in grapevine. Scientia Horticulturae, 2024, 337: 113522. doi: 10.1016/j.scienta.2024.113522
[136]	KARAAGAC E, VARGAS A M, DE ANDRÉS M T, CARREÑO I, IBÁÑEZ J, CARREÑO J, MARTÍNEZ-ZAPATER J M, CABEZAS J A. Marker assisted selection for seedlessness in table grape breeding. Tree Genetics & Genomes, 2012, 8(5): 1003-1015.
[137]	LI T M, LI Z Q, YIN X, GUO Y R, WANG Y J, XU Y. Improved in vitro Vitis vinifera L. embryo development of F1 progeny of ‘Delight’ × ‘Ruby seedless’ using putrescine and marker-assisted selection. In Vitro Cellular & Developmental Biology-Plant, 2018, 54(3): 291-301.
[138]	BERGAMINI C, CARDONE M F, ANACLERIO A, PERNIOLA R, PICHIERRI A, GENGHI R, ALBA V, FORLEO L R, CAPUTO A R, MONTEMURRO C, et al. Validation assay of p3_VvAGL11 marker in a wide range of genetic background for early selection of stenospermocarpy in Vitis vinifera L.. Molecular Biotechnology, 2013, 54(3): 1021-1030. doi: 10.1007/s12033-013-9654-8
[139]	MERKOUROPOULOS G, GANOPOULOS I, DOULIS A, NIKOLAOU N, MYLONA P. High Resolution Melting (HRM) analysis on VviDXS to reveal muscats or non-muscats among autochthonous Greek wine producing grape varieties. OENO One, 2016, 50(3): 161-167.
[140]	MORCIA C, TUMINO G, RAIMONDI S, SCHNEIDER A, TERZI V. Muscat flavor in grapevine: A digital PCR assay to track allelic variation in VvDXS gene. Genes, 2021, 12(5): 747. doi: 10.3390/genes12050747

葡萄果实品质性状遗传特性与基因位点解析研究进展

Research Progress in Genetic Characteristics and Loci Mapping for Grape Berry Quality Traits

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