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BMC Genomics
Title: | Transcriptional regulatory networks controlling taste and aroma quality of apricot (Prunus armeniaca L.) fruit during ripening |
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Author(s): | Zhang Q; Feng C; Li W; Qu Z; Zeng M; Xi W; |
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Address: | "College of Horticulture and Landscape Architecture, Southwest University, Chongqing, 400716, People's Republic of China. Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, People's Republic of China. Agriculture National Fruit Tree Germplasm Repository, Xinjiang Academy of Agricultural Sciences, Luntai, Xinjiang, 841600, People's Republic of China. College of Computer and Information Sciences, Southwest University, Chongqing, 400716, People's Republic of China. College of Horticulture and Landscape Architecture, Southwest University, Chongqing, 400716, People's Republic of China. xwp1999@zju.edu.cn" |
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Journal Title: | BMC Genomics |
Year: | 2019 |
Volume: | 20190115 |
Issue: | 1 |
Page Number: | 45 - |
DOI: | 10.1186/s12864-019-5424-8 |
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ISSN/ISBN: | 1471-2164 (Electronic) 1471-2164 (Linking) |
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Abstract: | "BACKGROUND: Taste and aroma, which are important organoleptic qualities of apricot (Prunus armeniaca L.) fruit, undergo rapid and substantial changes during ripening. However, the associated molecular mechanisms remain unclear. The goal of this study was to identify candidate genes for flavor compound metabolism and to construct a regulatory transcriptional network. RESULTS: We characterized the transcriptome of the 'Jianali' apricot cultivar, which exhibits substantial changes in flavor during ripening, at 50 (turning), 73 (commercial maturation) and 91 (full ripe) days post anthesis (DPA) using RNA sequencing (RNA-Seq). A weighted gene co-expression network analysis (WGCNA) revealed that four of 19 modules correlated highly with flavor compound metabolism (P < 0.001). From them, we identified 1237 differentially expressed genes, with 16 intramodular hubs. A proposed pathway model for flavor compound biosynthesis is presented based on these genes. Two SUS1 genes, as well as SPS2 and INV1 were correlated with sugar biosynthesis, while NADP-ME4, two PK-like and mitochondrial energy metabolism exerted a noticeable effect on organic acid metabolism. CCD1 and FAD2 were identified as being involved in apocarotenoid aroma volatiles and lactone biosynthesis, respectively. Five sugar transporters (Sweet10, STP13, EDR6, STP5.1, STP5.2), one aluminum-activated malate transporter (ALMT9) and one ABCG transporter (ABCG11) were associated with the transport of sugars, organic acids and volatiles, respectively. Sixteen transcription factors were also highlighted that may also play regulatory roles in flavor quality development. CONCLUSIONS: Apricot RNA-Seq data were obtained and used to generate an annotated set of predicted expressed genes, providing a platform for functional genomic research. Using network analysis and pathway mapping, putative molecular mechanisms for changes in apricot fruit taste and aroma during ripening were elucidated" |
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Keywords: | "Biosynthetic Pathways/genetics Fruit/*genetics/*growth & development/physiology Gene Expression Profiling *Gene Expression Regulation, Plant *Gene Regulatory Networks Genes, Plant Plant Growth Regulators/biosynthesis Prunus armeniaca/*genetics Signal Tran;" |
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Notes: | "MedlineZhang, Qiuyun Feng, Chao Li, Wenhui Qu, Zehui Zeng, Ming Xi, Wanpeng eng 31471855/National Natural Science Foundation of China/ England 2019/01/17 BMC Genomics. 2019 Jan 15; 20(1):45. doi: 10.1186/s12864-019-5424-8" |
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Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 26-12-2024
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