Peng Shaofeng, Lu Jia, Zhang Zhen, Ma Li, Liu Caixia, Chen Yongzhong
Beijing Forestry University, Haidian, 100083 Beijing, China.
Hunan Academy of Forestry, Changsha, 410004 Hunan, China.
Int J Genomics. 2020 Aug 29;2020:6162802. doi: 10.1155/2020/6162802. eCollection 2020.
Oil-tea Camellia is a very important edible oil plant widely distributed in southern China. Tea oil extracted from the oil-tea Camellia seeds is beneficial to health and is considered as a health edible oil. We attempt to identify genes related to fatty acid biosynthesis in an oil-tea Camellia seed kernel, generated a comprehensive transcriptome analysis of the seed kernel at different developmental stages, and explore optimal picking time of fruit. . A gas chromatography-mass spectrometer was used to detect the content of various fatty acids in samples. Transcriptome analysis was performed to detect gene dynamics and corresponding functions.
Multiple phenotypic data were counted in detail, including the oil content, oleic acid content, linoleic acid content, linolenic acid content, fruit weight, fruit height, fruit diameter, single seed weight, seed length, and seed width in different developmental stages, which indicate that a majority of indicators increased with the development of oil-tea Camellia. The transcriptomics was conducted to perform a comprehensive and system-level view on dynamic gene expression networks for different developmental stages. Short Time-series Expression Miner (STEM) analysis of XL106 (the 6 time points) and XL210 (8 time points) was performed to screen related fatty acid (FA) gene set, from which 1041 candidate genes related to FA were selected in XL106 and 202 related genes were screened in XL210 based on GO and KEGG enrichment. Then, candidate genes and trait dataset were combined to conduct correlation analysis, and 10 genes were found to be strongly connected with several key traits.
The multiple phenotypic data revealed the dynamic law of changes during the picking stage. Transcriptomic analysis identified a large number of potential key regulatory factors that can control the oil content of dried kernels, oleic acid, linoleic acid, linolenic acid, fresh seed rate, and kernel-to-seed ratio, thereby providing a new insight into the molecular networks underlying the picking stage of oil-tea Camellia, which provides a theoretical basis for the optimal fruit picking point.
油茶是一种非常重要的食用油料植物，广泛分布于中国南方。从油茶籽中提取的茶油对健康有益，被视为一种健康食用油。我们试图鉴定油茶籽仁中与脂肪酸生物合成相关的基因，对不同发育阶段的籽仁进行全面的转录组分析，并探索果实的最佳采摘时间。使用气相色谱 - 质谱联用仪检测样品中各种脂肪酸的含量。进行转录组分析以检测基因动态及其相应功能。
详细统计了多个表型数据，包括不同发育阶段的含油量、油酸含量、亚油酸含量、亚麻酸含量、果实重量、果实高度、果实直径、单粒种子重量、种子长度和种子宽度，这表明大多数指标随着油茶的发育而增加。进行转录组学研究以全面系统地观察不同发育阶段的动态基因表达网络。对XL106（6个时间点）和XL210（8个时间点）进行了短时序列表达挖掘器（STEM）分析，以筛选相关脂肪酸（FA）基因集，基于基因本体论（GO）和京都基因与基因组百科全书（KEGG）富集，在XL106中选择了1041个与FA相关的候选基因，在XL210中筛选出202个相关基因。然后，将候选基因与性状数据集相结合进行相关性分析，发现10个基因与几个关键性状密切相关。
多个表型数据揭示了采摘阶段的变化动态规律。转录组分析鉴定出大量潜在的关键调控因子，这些因子可以控制干籽仁含油量、油酸、亚油酸、亚麻酸、鲜籽率和仁籽比，从而为油茶采摘阶段的分子网络提供了新的见解，为最佳果实采摘点提供了理论依据。
