ArticleScientific reports2018
Comparative transcriptomic analysis identifies genes responsible for fruit count and oil yield in the oil tea plant Camellia chekiangoleosa.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 20 citations in OpenAlex.
- Article
- Integrated transcriptome and endogenous hormone analyses reveal the factors affecting the yield of Camellia oleifera.BMC genomics · 2024Article
- Transcriptomic and Metabolomic Analysis Unravels the Molecular Regulatory Mechanism of Fatty Acid Biosynthesis inInternational journal of molecular sciences · 2022Article
- Integrative iTRAQ-based proteomic and transcriptomic analysis reveals the accumulation patterns of key metabolites associated with oil quality during seed ripening of Camellia oleifera.Horticulture research · 2021Article
- Global Transcriptome and Correlation Analysis Reveal Cultivar-Specific Molecular Signatures Associated with Fruit Development and Fatty Acid Determination inInternational journal of genomics · 2020Article
- Transcriptome analyses of the ginseng root rot pathogensJournal of ginseng research · 2020Article
- Transcriptional profiling reveals differentially expressed genes involved in lipid biosynthesis during cacao seed development.Scientific reports · 2019Article
- Article
- Augmentation of crop productivity through interventions of omics technologies in India: challenges and opportunities.3 Biotech · 2018Review
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fruit yield is an important trait for horticultural crops. However, the limited fruit yield of Camellia chekiangoleosa, a novel promising oil tree, restricts the production of oil. The breeding improvement is little due to its long generation time and lack of available genomic sequence. We identified distinct fruit count phenotypes, high-yield (HY) and low-yield (LY). To understand the underlying genetic basis, we focused on global gene discovery and expression levels in floral buds, which affect fruit count. A total of 140,299 de novo assembled unigenes were obtained using RNA-seq technology, and more genes were expressed in HY than in LY. 2395 differentially expressed genes (DEGs) were identified and enriched in membrane, energy metabolism, secondary metabolism, fatty acid biosynthesis and metabolism, and 18 other metabolic pathways. Of the DEGs, twelve identified transcription factors, including AP2, mostly involve in inflorescence and flower development and in hormone networks. Key DEGs in fatty acid biosynthesis (Fab) FabB, FabF, FabZ, and AccD were highly expressed in floral buds and associated with high oil yield in fruits. We hypothesized that a potential link exists between fruit count and its oil yield. These findings help to elucidate the molecular cues affecting fruit count and oil yield.
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