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Comparative transcriptomic analysis identifies genes responsible for fruit count and oil yield in the oil tea plant Camellia chekiangoleosa

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 identifie...

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Detalles Bibliográficos
Autores principales: Xie, Yun, Wang, Xuewen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5923238/
https://www.ncbi.nlm.nih.gov/pubmed/29703942
http://dx.doi.org/10.1038/s41598-018-24073-z
Descripción
Sumario: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.