Lei Bo, Lu Kun, Ding Fuzhang, Zhang Kai, Chen Yi, Zhao Huina, Zhang Lin, Ren Zhu, Qu Cunmin, Guo Wenjing, Wang Jing, Pan Wenjie
Key Laboratory of Molecular Genetics, China National Tobacco Corporation, Guizhou Academy of Tobacco Science, Longbatan Road 29, Guanshanhu District, Guiyang 550081, China.
Engineering Research Center of South Upland Agriculture, College of Agronomy and Biotechnology, Southwest University, Tiansheng Road 2, Beibei, Chongqing 400715, China.
Int J Mol Sci. 2014 Apr 11;15(4):6137-60. doi: 10.3390/ijms15046137.
The growth and development of plants are sensitive to their surroundings. Although numerous studies have analyzed plant transcriptomic variation, few have quantified the effect of combinations of factors or identified factor-specific effects. In this study, we performed RNA sequencing (RNA-seq) analysis on tobacco leaves derived from 10 treatment combinations of three groups of ecological factors, i.e., climate factors (CFs), soil factors (SFs), and tillage factors (TFs). We detected 4980, 2916, and 1605 differentially expressed genes (DEGs) that were affected by CFs, SFs, and TFs, which included 2703, 768, and 507 specific and 703 common DEGs (simultaneously regulated by CFs, SFs, and TFs), respectively. GO and KEGG enrichment analyses showed that genes involved in abiotic stress responses and secondary metabolic pathways were overrepresented in the common and CF-specific DEGs. In addition, we noted enrichment in CF-specific DEGs related to the circadian rhythm, SF-specific DEGs involved in mineral nutrient absorption and transport, and SF- and TF-specific DEGs associated with photosynthesis. Based on these results, we propose a model that explains how plants adapt to various ecological factors at the transcriptomic level. Additionally, the identified DEGs lay the foundation for future investigations of stress resistance, circadian rhythm and photosynthesis in tobacco.
植物的生长和发育对其周围环境敏感。尽管众多研究已分析了植物转录组变异,但很少有研究对多种因素组合的影响进行量化或确定特定因素的影响。在本研究中,我们对源自三组生态因子(即气候因子(CFs)、土壤因子(SFs)和耕作因子(TFs))的10种处理组合的烟草叶片进行了RNA测序(RNA-seq)分析。我们检测到受CFs、SFs和TFs影响的差异表达基因(DEGs)分别有4980个、2916个和1605个,其中分别包括2703个、768个和507个特异性DEGs以及703个共同DEGs(同时受CFs、SFs和TFs调控)。GO和KEGG富集分析表明,参与非生物胁迫响应和次生代谢途径的基因在共同和CF特异性DEGs中过度富集。此外,我们注意到与昼夜节律相关的CF特异性DEGs、参与矿质营养吸收和运输的SF特异性DEGs以及与光合作用相关的SF和TF特异性DEGs中存在富集。基于这些结果,我们提出了一个模型,解释了植物如何在转录组水平上适应各种生态因子。此外,鉴定出的DEGs为未来烟草抗逆性、昼夜节律和光合作用的研究奠定了基础。