High-density linkage map construction and identification of loci regulating fruit quality traits in blueberry
| Autor: | Hamid Ashrafi, Mary Ann Lila, Colin D. Kay, Kristine L. Kay, Elisheba Young, James R. Ballington, Hamed Bostan, Molla F. Mengist, Nicholas D. Gillitt, Mario G. Ferruzzi, Massimo Iorizzo |
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| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
0301 basic medicine Plant genetics Titratable acid Single-nucleotide polymorphism Plant Science Horticulture Quantitative trait locus 01 natural sciences Biochemistry Article Plant breeding 03 medical and health sciences chemistry.chemical_compound Genetic linkage Genetics Cultivar Sugar biology food and beverages Quinic acid biology.organism_classification 030104 developmental biology chemistry 010606 plant biology & botany Biotechnology Vaccinium |
| Zdroj: | Horticulture Research |
| ISSN: | 2052-7276 2662-6810 |
| Popis: | Fruit quality traits play a significant role in consumer preferences and consumption in blueberry (Vaccinium corymbosumL). 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 F1individuals 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 |
| Databáze: | OpenAIRE |
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