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Comparative Transcriptome Analysis in Apple (Malus x domestica Borkh.) Reveals Molecular Insights into Fruit Trait Variation in Two diffrent Apple Cultivars

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NIAID Data Ecosystem2026-05-02 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP478831
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Understanding the genetic basis underlying fruit traits in apple cultivars is crucial for improving fruit quality and productivity. This study presents a comparative transcriptome analysis between two distinct apple cultivars (Jeromine and Redlum Gala), aiming to elucidate the molecular mechanisms governing differences in fruit traits. RNA sequencing was performed on fruit samples collected at harvesting stage from both cultivars to analyze the gene expression profiles. The transcriptomic comparison identified differentially expressed genes (DEGs) associated with key fruit traits such as size, color, flavor, and texture. Gene ontology (GO) enrichment analysis revealed significant enrichment of genes involved in pathways related to fruit development, metabolism, and signaling. Notably, several transcription factors and regulatory genes linked to fruit ripening and quality attributes were differentially expressed between the cultivars. Furthermore, the comparative analysis highlighted specific metabolic pathways, including those related to sugar metabolism, organic acid biosynthesis, phenylpropanoid biosynthesis, and hormone signaling pathways, contributing to variances in fruit traits. The differential expression of genes associated with ethylene, auxin, and abscisic acid signaling pathways suggested their roles in modulating fruit development and ripening disparities between the two cultivars. Moreover, the identification of candidate genes and regulatory networks associated with fruit traits provides valuable insights into the genetic architecture underlying these traits. These findings not only deepen our understanding of the molecular mechanisms governing fruit development and quality but also offer potential targets for future breeding strategies aimed at enhancing desirable fruit traits in apple cultivars. In conclusion, this comparative transcriptome analysis unravels the intricate regulatory networks and candidate genes associated with variances in fruit traits between two apple cultivars. The comprehensive insights gained from this study pave the way for targeted genetic improvements and facilitate the development of superior apple cultivars with enhanced fruit quality attributes.
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2024-12-18
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