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Article|01 Aug 2021|OPEN
High-density linkage map construction and identification of loci regulating fruit quality traits in blueberry
Molla F. Mengist1, Hamed Bostan1, Elisheba Young2, Kristine L. Kay3, Nicholas Gillitt3, James Ballington2, Colin D. Kay1,4, Mario G. Ferruzzi1,4, Hamid Ashraf2, Mary Ann Lila1,4 & Massimo Iorizzo2,1,
1Plants for Human Health Institute, North Carolina State University, Kannapolis, NC, USA
2Department of Horticultural Science, North Carolina State University, Raleigh, NC, USA
3David H. Murdock Research Institute, Kannapolis, NC, USA
4Department of Food Bioprocessing and Nutrition Sciences, North Carolina State University, Raleigh, NC, USA

Horticulture Research 8,
Article number: 169 (2021)
doi: 10.1038/hortres.2021.169
Views: 125

Received: 19 Mar 2021
Revised: 08 Jun 2021
Accepted: 13 Jun 2021
Published online: 01 Aug 2021

Abstract

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.