Mariko Takeoka, Takanobu Higashi, M. Honjo, A. Tezuka, A. Nagano, Yusuke Tanigaki, H. Fukuda
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For the model plant Arabidopsis thaliana, a set of genes with periodic variation in expression level, called clock genes or clock-related genes, such as LHY (LATE ELONGATED HYPOCOTYL), CCA1 (CIRCADIAN CLOCK ASSOCIATED 1), and TOC1 (TIMING OF CAB EXPRESSION 1) and PRRs (PSEUDORESPONSE REGULATORs) are known factors related to the central oscillator of the clock (Nakamichi et al., 2012; Nagel et al., 2015; Kamioka et al., 2016; Liu et al., 2016; Ezer et al., 2017). Such genes generate a self-sustained circadian rhythm by negative feedback loops (Nohales and Kay, 2016). On the other hand, based on global gene expression analysis through microarray analysis, about 20% of plant genes are under the control of the circadian clock (Li et al., 2017). Recently, for crop species such as rice, tomato and lettuce, the circadian rhythm of the transcriptome in the field and in the plant factory has been clarified (Nagano et al., 2012; Matsuzaki et al., 2015; Tanigaki et al., 2015; Higashi et al., 2016a; 2016b). It is also possible to estimate the phase of the circadian clock by analyzing the periodicity of the transcriptome (Matsushika et al., 2000; Ueda et al., 2004). A method for estimating the phase of the circadian clock, called the molecular timetable method, has been constructed for mammals (Ueda et al., 2004). It is possible to estimate body time from transcriptome data with high accuracy within about 2 h. In the standard application of this method, the period of the circadian rhythm for each expressed gene is regarded as a constant value, 24 h. In addition, the waveform of the circadian rhythm is assumed to be a simple form, that is, a cosine curve. However, in plants, the period and the waveform of the circadian rhythm varies depending on species, environment of cultivation, and other factors (Ninomiya, 1984; Higashi et al., 2014). In this study, the model plant A. thaliana, and lettuce","PeriodicalId":11762,"journal":{"name":"Environmental Control in Biology","volume":"46 1","pages":"67-72"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Estimation of the Circadian Phase by Oscillatory Analysis of the Transcriptome in Plants\",\"authors\":\"Mariko Takeoka, Takanobu Higashi, M. Honjo, A. Tezuka, A. Nagano, Yusuke Tanigaki, H. Fukuda\",\"doi\":\"10.2525/ECB.56.67\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Plants have a circadian clock, a biological oscillator with an approximately 24 h period, which is known to dominate various physiologically active rhythms (Harmer et al., 2000). Photoperiodicity induction of flowering, stomatal opening, and concentration of nutrients (e.g. ascorbic acid) are also regulated by the circadian clock (Kotchoni et al., 2008). Recent research has clarified that the internal body time of the circadian clock (the phase of the circadian clock) is also related to pest resistance and metabolism of reactive oxygen species (Lai et al., 2012; Goodspeed et al., 2013). Therefore, knowledge of the phase of circadian clock is thought to be important in control of growth and crop quality. The circadian clock works via clock genes, whose expression varies periodically. For the model plant Arabidopsis thaliana, a set of genes with periodic variation in expression level, called clock genes or clock-related genes, such as LHY (LATE ELONGATED HYPOCOTYL), CCA1 (CIRCADIAN CLOCK ASSOCIATED 1), and TOC1 (TIMING OF CAB EXPRESSION 1) and PRRs (PSEUDORESPONSE REGULATORs) are known factors related to the central oscillator of the clock (Nakamichi et al., 2012; Nagel et al., 2015; Kamioka et al., 2016; Liu et al., 2016; Ezer et al., 2017). Such genes generate a self-sustained circadian rhythm by negative feedback loops (Nohales and Kay, 2016). On the other hand, based on global gene expression analysis through microarray analysis, about 20% of plant genes are under the control of the circadian clock (Li et al., 2017). Recently, for crop species such as rice, tomato and lettuce, the circadian rhythm of the transcriptome in the field and in the plant factory has been clarified (Nagano et al., 2012; Matsuzaki et al., 2015; Tanigaki et al., 2015; Higashi et al., 2016a; 2016b). It is also possible to estimate the phase of the circadian clock by analyzing the periodicity of the transcriptome (Matsushika et al., 2000; Ueda et al., 2004). A method for estimating the phase of the circadian clock, called the molecular timetable method, has been constructed for mammals (Ueda et al., 2004). It is possible to estimate body time from transcriptome data with high accuracy within about 2 h. In the standard application of this method, the period of the circadian rhythm for each expressed gene is regarded as a constant value, 24 h. In addition, the waveform of the circadian rhythm is assumed to be a simple form, that is, a cosine curve. 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引用次数: 2
摘要
植物有一个生物钟,一个大约24小时周期的生物振荡器,已知它支配着各种生理上的活跃节律(Harmer et al., 2000)。光周期诱导的开花、气孔开放和营养物质(如抗坏血酸)浓度也受到生物钟的调节(Kotchoni等人,2008)。最近的研究表明,生物钟的体内时间(生物钟的相位)也与害虫抗性和活性氧代谢有关(Lai et al., 2012;Goodspeed et al., 2013)。因此,了解生物钟的阶段被认为是重要的控制生长和作物的质量。生物钟通过生物钟基因起作用,生物钟基因的表达会周期性地变化。对于模式植物拟南芥(Arabidopsis thaliana),一组表达水平有周期性变化的基因被称为时钟基因或时钟相关基因,如LHY (LATE ELONGATED HYPOCOTYL)、CCA1 (CIRCADIAN clock ASSOCIATED 1)、TOC1 (CAB表达时序1)和PRRs (PSEUDORESPONSE REGULATORs)是已知的与时钟中央振荡器相关的因素(Nakamichi et al., 2012;Nagel et al., 2015;Kamioka等人,2016;Liu et al., 2016;Ezer et al., 2017)。这些基因通过负反馈循环产生自我维持的昼夜节律(Nohales和Kay, 2016)。另一方面,基于微阵列分析的全球基因表达分析,约20%的植物基因受生物钟控制(Li et al., 2017)。最近,对于水稻、番茄和生菜等作物物种,田间和植物工厂中转录组的昼夜节律已经得到澄清(Nagano et al., 2012;Matsuzaki et al., 2015;Tanigaki等人,2015;Higashi等,2016a;2016 b)。也可以通过分析转录组的周期性来估计生物钟的阶段(Matsushika et al., 2000;Ueda et al., 2004)。已经为哺乳动物构建了一种估计生物钟阶段的方法,称为分子时间表方法(Ueda et al., 2004)。在大约2小时内,可以从转录组数据中高精度地估计出身体时间。在该方法的标准应用中,每个表达基因的昼夜节律周期被视为一个恒定值,即24小时。此外,昼夜节律波形被假设为一种简单形式,即余弦曲线。然而,在植物中,昼夜节律的周期和波形因物种、栽培环境和其他因素而异(Ninomiya, 1984;Higashi et al., 2014)。在本研究中,模式植物拟南芥和莴苣
Estimation of the Circadian Phase by Oscillatory Analysis of the Transcriptome in Plants
Plants have a circadian clock, a biological oscillator with an approximately 24 h period, which is known to dominate various physiologically active rhythms (Harmer et al., 2000). Photoperiodicity induction of flowering, stomatal opening, and concentration of nutrients (e.g. ascorbic acid) are also regulated by the circadian clock (Kotchoni et al., 2008). Recent research has clarified that the internal body time of the circadian clock (the phase of the circadian clock) is also related to pest resistance and metabolism of reactive oxygen species (Lai et al., 2012; Goodspeed et al., 2013). Therefore, knowledge of the phase of circadian clock is thought to be important in control of growth and crop quality. The circadian clock works via clock genes, whose expression varies periodically. For the model plant Arabidopsis thaliana, a set of genes with periodic variation in expression level, called clock genes or clock-related genes, such as LHY (LATE ELONGATED HYPOCOTYL), CCA1 (CIRCADIAN CLOCK ASSOCIATED 1), and TOC1 (TIMING OF CAB EXPRESSION 1) and PRRs (PSEUDORESPONSE REGULATORs) are known factors related to the central oscillator of the clock (Nakamichi et al., 2012; Nagel et al., 2015; Kamioka et al., 2016; Liu et al., 2016; Ezer et al., 2017). Such genes generate a self-sustained circadian rhythm by negative feedback loops (Nohales and Kay, 2016). On the other hand, based on global gene expression analysis through microarray analysis, about 20% of plant genes are under the control of the circadian clock (Li et al., 2017). Recently, for crop species such as rice, tomato and lettuce, the circadian rhythm of the transcriptome in the field and in the plant factory has been clarified (Nagano et al., 2012; Matsuzaki et al., 2015; Tanigaki et al., 2015; Higashi et al., 2016a; 2016b). It is also possible to estimate the phase of the circadian clock by analyzing the periodicity of the transcriptome (Matsushika et al., 2000; Ueda et al., 2004). A method for estimating the phase of the circadian clock, called the molecular timetable method, has been constructed for mammals (Ueda et al., 2004). It is possible to estimate body time from transcriptome data with high accuracy within about 2 h. In the standard application of this method, the period of the circadian rhythm for each expressed gene is regarded as a constant value, 24 h. In addition, the waveform of the circadian rhythm is assumed to be a simple form, that is, a cosine curve. However, in plants, the period and the waveform of the circadian rhythm varies depending on species, environment of cultivation, and other factors (Ninomiya, 1984; Higashi et al., 2014). In this study, the model plant A. thaliana, and lettuce