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Editorial: Genomics and Functional Genomics of Stress-mediated Signaling in Plants: Volume I

机译:社论:植物中胁迫介导信号传导的基因组学和功能基因组学:第I卷

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The agricultural productivity across the globe is severely disturbed by varying environmental conditions. Due to these climatic situations, plants frequently observe various unexpected biotic and abiotic stress conditions [ 1 , 2 ]. Crops are being subjected to various abiotic stress conditions such as drought, heat, cold, radiation, salinity and ion toxicity that restrict their growth and genetic potential of higher yield. Plants being sessile have developed an intricate signaling network for stress perception and tolerance. The plant’s responses to combination of stress conditions are genetically controlled to a great extent by different interacting signaling pathways [ 3 , 4 ]. Determination of these molecular mechanisms governing stress mediated signaling in plants and underlying regulatory network of interacting proteins has been a major focus of research in the past decades. Functional elucidation of genes involved in these regulatory pathways is intended towards generating stress tolerant crops. Recent development of various omics based approaches has considerably facilitated the identification of various stress-responsive components of complex molecular regulatory and developmental systems in plants [ 5 - 7 ]. These comprehensive approaches including genomics, transcriptomics, proteomics and metabolomics are now extensively employed to understand the coordination among various regulatory pathways. Genomics involves elucidation of sequence and structure of a genome. Transcriptomics deals with structural and functional study of complete RNA transcripts generated under specific conditions by microarray analysis and RNA sequencing methodologies; proteomics involves extensive study of proteins and their regulatory pathway including post-translational modifications. Subsequent to transcriptomic and proteomic study that reveals the expressing gene set in a given environment within the cell, metabolic profiling identify and measure metabolites composition to reveal a different aspect of cellular function. The collective term for all the chemicals that are produced during a cellular process is metabolome and study of these metabolites at global or tissue level is known as metabolomics [ 8 ]. The integration of all systems biology techniques can truly contributes towards understanding complex cellular biology in plants such as undetermined gene functions, pathways such as diurnal fluctuation in metabolite levels, response and tolerance to biotic or abiotic stresses, to observe the growth and performance of transgenic plants and to evaluate the genetic improvement of crops [ 5 , 9 ]. The integration of omics based techniques have given rise to a new era of systematic investigations that offer much more deep insights into the functionality of a gene altogether with its effect on the phenotype in a given biological context. Plants adapts to varying environmental conditions by modifying their transcript profiles. The primary purpose of omics based studies is to investigate at the transcript levels that includes molecular interaction, their correlation with the signaling cascade and to process the evidences in order to elucidate the interaction network that set off with the specific signals and gets over with a definite response. Elucidation of the biological processes governing plant regulatory networks requires detailed information of plant responses at genome level towards different stress and developmental stimuli. In comparison to the previous ‘gene-by-gene’ method, the introduction of high-throughput approaches such as microarray, RNA sequencing, Expressed Sequence Tags (EST) analysis, site-directed mutagenesis, loss- and gain-of-function analysis have contributed to precisely identify the location of a candidate gene in the signaling cascade and its role in abiotic and biotic stress tolerance [ 5 , 6 , 10 ]. Omics based technologies are often exercised in a high throughput mode, therefore, generate huge amount of data. This is due to these approaches that we have been able to considerably scale down the cost as well as time to perform large-scale endeavors such as whole genome sequencing and transcriptome analysis among others. To improve crop production efficiency, previous attempts to increase plant tolerance to drought, high salinity and cold stress through traditional methods such as breeding were inadequate due to extreme complexity of stress responses. Progress towards achieving crops species capable of acclimatizing to environmental stress is anticipated through comparative study of model plants using functional genomics approaches. The identification of novel genes and their expression in response to different stress stimuli and a better understanding of their involvement in stress tolerance mechanism will provide the means to effectively plan strategies to raise stress tolerant transgenic crops. In this special issue on ‘Genomics and Functional Genomics of Stress Signaling in plants’, we propose t
机译:不断变化的环境条件严重影响了全球的农业生产力。由于这些气候条件,植物经常观察到各种意想不到的生物和非生物胁迫条件[1、2]。农作物正遭受各种非生物胁迫条件的影响,例如干旱,高温,寒冷,辐射,盐度和离子毒性,这限制了它们的生长和高产的遗传潜力。无柄植物已经开发出了复杂的信号网络,用于胁迫感知和耐受。通过不同的相互作用信号传导途径,很大程度上控制了植物对胁迫条件组合的反应[3,4]。在过去的几十年中,确定控制植物中压力介导的信号传导和相互作用蛋白的潜在调节网络的这些分子机制一直是研究的主要重点。这些调节途径中涉及的基因的功能阐明旨在产生耐逆性作物。基于各种组学方法的最新发展极大地促进了植物中复杂分子调控和发育系统的各种胁迫响应成分的鉴定[5-7]。这些广泛的方法,包括基因组学,转录组学,蛋白质组学和代谢组学,现已广泛用于理解各种调控途径之间的协调。基因组学涉及阐明基因组的序列和结构。转录组学通过微阵列分析和RNA测序方法研究在特定条件下产生的完整RNA转录本的结构和功能研究;蛋白质组学涉及蛋白质及其调节途径的广泛研究,包括翻译后修饰。转录组和蛋白质组学研究揭示了细胞内给定环境中表达的基因集,随后,代谢谱分析鉴定并测量了代谢物的组成,以揭示细胞功能的不同方面。细胞过程中产生的所有化学物质的总称是代谢组,在全局或组织水平上研究这些代谢产物称为代谢组学[8]。所有系统生物学技术的整合可以真正有助于理解植物中复杂的细胞生物学,例如不确定的基因功能,代谢产物水平的昼夜波动,对生物或非生物胁迫的响应和耐受性等途径,从而观察转基因植物的生长和性能并评估农作物的遗传改良[5,9]。基于组学的技术的整合开创了系统研究的新时代,该时代提供了对基因功能及其在特定生物学环境中对表型的影响的更深刻的见识。植物可以通过修改其转录本来适应各种环境条件。基于组学的研究的主要目的是在包括分子相互作用,其与信号级联反应的相关性在内的转录本水平上进行研究,并处理证据以阐明相互作用网络,该相互作用网络以特定信号为起点,并以一定的距离克服响应。要阐明控制植物调控网络的生物学过程,就需要在基因组水平上针对不同胁迫和发育刺激的植物反应的详细信息。与以前的“逐基因”方法相比,引入了高通量方法,例如微阵列,RNA测序,表达序列标签(EST)分析,定点诱变,功能丧失和获得功能分析有助于精确识别候选基因在信号级联反应中的位置及其在非生物和生物胁迫耐受性中的作用[5,6,10]。基于组学的技术通常以高吞吐量模式运行,因此会生成大量数据。这是由于这些方法,我们已经能够大幅度降低成本和时间来进行大规模的工作,例如全基因组测序和转录组分析。为了提高作物生产效率,由于胁迫响应的极端复杂性,以前尝试通过传统方法(例如育种)提高植物对干旱,高盐分和寒冷胁迫的耐受性的尝试是不充分的。通过使用功能基因组学方法对模型植物进行比较研究,可以预期在实现能够适应环境胁迫的作物物种方面取得进展。鉴定新基因及其响应不同胁迫刺激的表达,并更好地了解其参与胁迫耐受机制,将为有效规划提高耐胁迫转基因作物的策略提供手段。在本期《植物压力信号的基因组学和功能基因组学》特刊中,我们建议

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