Fruit quality traits play a significant role in consumer preferences and consumption in blueberry (Vaccinium corymbosum L). The objectives of this study were to construct a high-density linkage map and to identify the underlying genetic basis of fruit quality traits in blueberry. A total of 287 F1 individuals derived from a cross between two southern highbush blueberry cultivars, ‘Reveille’ and ‘Arlen’, were phenotyped over three years (2016–2018) for fruit quality-related traits, including titratable acidity, pH, total soluble solids, and fruit weight. A high-density linkage map was constructed using 17k single nucleotide polymorphisms markers. The linkage map spanned a total of 1397 cM with an average inter-loci distance of 0.08 cM. The quantitative trait loci interval mapping based on the hidden Markov model identified 18 loci for fruit quality traits, including seven loci for fruit weight, three loci for titratable acidity, five loci for pH, and three loci for total soluble solids. Ten of these loci were detected in more than one year. These loci explained phenotypic variance ranging from 7 to 28% for titratable acidity and total soluble solid, and 8–13% for pH. However, the loci identified for fruit weight did not explain more than 10% of the phenotypic variance. We also reported the association between fruit quality traits and metabolites detected by Proton nuclear magnetic resonance analysis directly responsible for these fruit quality traits. Organic acids, citric acid, and quinic acid were significantly (P < 0.05) and positively correlated with titratable acidity. Sugar molecules showed a strong and positive correlation with total soluble solids. Overall, the study dissected the genetic basis of fruit quality traits and established an association between these fruit quality traits and metabolites.

中文翻译：

---

蓝莓果实品质性状调控位点的高密度连锁图谱构建与鉴定

果实品质性状在消费者偏好和蓝莓消费中发挥着重要作用（越橘L)。本研究的目的是构建高密度连锁图谱并确定蓝莓果实品质性状的潜在遗传基础。共 287 F1来自两个南方高丛蓝莓品种“Reveille”和“Arlen”杂交的个体在三年（2016-2018）的果实品质相关性状中进行了表型分析，包括可滴定酸度、pH、总可溶性固形物和果实重量. 使用 17k 个单核苷酸多态性标记构建了高密度连锁图谱。连锁图谱共跨越 1397 cM，平均基因座间距离为 0.08 cM。基于隐马尔可夫模型的数量性状位点区间映射确定了18个果实品质性状位点，包括7个果实重量位点、3个可滴定酸度位点、5个pH位点和3个总可溶性固体位点。在一年多的时间里检测到了其中的十个基因座。这些基因座解释了可滴定酸度和总可溶性固体的 7% 到 28% 的表型变异，以及 pH 的 8-13% 的表型变异。然而，为果实重量鉴定的基因座不能解释超过 10% 的表型变异。我们还报告了水果品质性状与通过质子核磁共振分析检测到的直接导致这些水果品质性状的代谢物之间的关联。有机酸、柠檬酸和奎尼酸显着（磷< 0.05) 并与可滴定酸度呈正相关。糖分子与总可溶性固体呈强正相关。总体而言，该研究剖析了果实品质性状的遗传基础，并建立了这些果实品质性状与代谢物之间的关联。