Shen Yaozong, Fan Kai, Wang Yu, Wang Hui, Ding Shibo, Song Dapeng, Shen Jiazhi, Li He, Song Yujie, Han Xiao, Qian Wenjun, Ma Qingping, Ding Zhaotang
Tea Research Institute, Qingdao Agricultural University, Qingdao, China.
Rizhao Tea Research Institute, Rizhao, China.
Front Plant Sci. 2022 Jul 7;13:943662. doi: 10.3389/fpls.2022.943662. eCollection 2022.
Light is an important environmental factor which affects plant growth, through changes of intensity and quality. In this study, monochromatic white (control), red (660 nm), and blue (430 nm) light-emitting diodes (LEDs) were used to treat tea short cuttings. The results showed the most adventitious roots in blue light treated tea cuttings, but the lowest roots in that treated by red light. In order to explore the molecular mechanism of light quality affecting adventitious root formation, we performed full-length transcriptome and metabolome analyses of mature leaves under three light qualities, and then conducted weighted gene co-expression network analysis (WGCNA). Phytohormone analysis showed that Indole-3-carboxylic acid (ICA), Abscisic acid (ABA), ABA-glucosyl ester (ABA-GE), trans-Zeatin (tZ), and Jasmonic acid (JA) contents in mature leaves under blue light were significantly higher than those under white and red light. A crosstalk regulatory network comprising 23 co-expression modules was successfully constructed. Among them, the "MEblue" module which had a highly positive correlation with ICA ( = 0.92, = 4e-04). KEGG analysis showed that related genes were significantly enriched in the "Plant hormone signal transduction (ko04075)" pathway. (a flavin-containing monooxygenase), , , and were identified as hub genes, and gene expression analysis showed that the expression levels of these hub genes under blue light were higher than those under white and red light. In addition, we also identified 6 auxin transport-related genes, including , , , , , and . Except , all of these genes showed the highest expression level under blue light. In conclusion, this study elucidated the molecular mechanism of light quality regulating adventitious root formation of tea short cutting through WGCNA analysis, which provided an innovation for "rapid seedling" of tea plants.
光是一种重要的环境因子,通过强度和质量的变化影响植物生长。在本研究中,使用单色白色(对照)、红色(660纳米)和蓝色(430纳米)发光二极管(LED)处理茶树短穗扦插。结果表明,蓝光处理的茶树插穗不定根最多,而红光处理的插穗不定根最少。为了探究光质影响不定根形成的分子机制,我们对三种光质下成熟叶片进行了全长转录组和代谢组分析,然后进行了加权基因共表达网络分析(WGCNA)。植物激素分析表明,蓝光下成熟叶片中吲哚-3-羧酸(ICA)、脱落酸(ABA)、ABA-葡萄糖酯(ABA-GE)、反式玉米素(tZ)和茉莉酸(JA)的含量显著高于白光和红光下的含量。成功构建了一个包含23个共表达模块的相互作用调控网络。其中,与ICA高度正相关的“MEblue”模块(= 0.92,= 4e-04)。KEGG分析表明,相关基因在“植物激素信号转导(ko04075)”途径中显著富集。(一种含黄素单加氧酶)、、和被鉴定为枢纽基因,基因表达分析表明这些枢纽基因在蓝光下的表达水平高于白光和红光下的表达水平。此外,我们还鉴定了6个生长素运输相关基因,包括、、、、和。除了之外,所有这些基因在蓝光下的表达水平最高。总之,本研究通过WGCNA分析阐明了光质调控茶树短穗不定根形成的分子机制,为茶树“快速育苗”提供了创新。