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后基因组时代植物生产力的提高

Enhancement of Plant Productivity in the Post-Genomics Era.

作者信息

Thao Nguyen Phuong, Tran Lam-Son Phan

机构信息

Guest Editor Current Genomics School of Biotechnology, International University Vietnam National University HCMC, Block 6 Linh Trung Ward, Thu Duc District, Ho Chi Minh City Vietnam.

出版信息

Curr Genomics. 2016 Aug;17(4):295-6. doi: 10.2174/138920291704160607182507.

Abstract

Obtaining high plant yield is not always achievable in agricultural activity as it is determined by various factors, including cultivar quality, nutrient and water supplies, degree of infection by pathogens, natural calamities and soil conditions, which affect plant growth and development. More noticeably, sustainable plant productivity to provide sufficient food for the increasing human population has become a thorny issue to scientists in the era of unpredictable global climatic changes, appearance of more tremendous or multiple stresses, and land restriction for cultivation. Well-established agricultural management by agrotechnological means has shown no longer to be effective enough to confront with this challenge. Instead, in order to maximize the production, it is advisable to implement such practices in combination with biological applications. Nowadays, high technologies are widely adopted into agricultural production, biological diversity conservation and crop improvement. Wang et al. has nicely outlined the utilization of DNA-based technologies in this field. Among these are the applications of (i) DNA markers into cultivar identification, seed purity analysis, germplasm resource evaluation, heterosis prediction, genetic mapping, cloning and breeding; and (ii) gene expression data in supporting the description of crop phenology, the analytic comparison of crop growth under stress versus non-stress conditions, or the study of fertilizer effects. Besides, various purposes of using transgenic technologies in agriculture, such as generating cultivars with better product quality, better tolerance to biotic or abiotic stress, are also discussed in the review. One of the important highlights in this issue is the review of the benefits brought by high-throughput sequencing technology, which is also known as next-generation sequencing (NGS). It is not so difficult to recognize that its application has allowed us to carry out biological studies at much deeper level and larger scale. In their article, Onda and Mochida detailed how to use these technologies in fully characterizing the genetic diversity or multigenecity within a particular plant species. The authors discussed the constant innovation of sequencing platforms which has made sequencing technologies become more superior and more powerful than ever before. Additionally, the efforts result in not only further cut down of the sequencing cost and increase in the sequencing speed, but also improvement in sequencing accuracy and extended sequencing application to studies at both DNA and RNA levels. Such knowledge will help the scientists interpret, at least partially, how plants can adapt to various environmental conditions, or how different cultivars can respond differently to the same stress. Another article by Ong et al. also laid emphasis on the importance of various high-throughput sequencing platforms, thanks to which a large number of genomic databases supplied with detailed annotation and useful bioinformatics tools have been established to assist geneticists. Readers can find in this review the summary of available plant-specific genomic databases up-to-date and popular web-based resources that are relevant for comparative genomics, plant evolution and phylogenomics studies. These, along with other approaches, such as quantitative trait locus and genome-wide association study, will lay foundation for prediction and identification of genes or alleles responsible for valuable agronomic traits, contributing to the enhancement of plant productivity by genetic engineering approach. In this thematic issue, specific examples for crop improvement are also demonstrated. The first showcase is given by Nongpiur et al. who provided evidence that synergistic employment of genomics approaches and high-throughput gene expression methods have aided in dissecting the salinity-responsive signaling pathway, identifying genes involved in the stress response and selecting candidate genes for further characterization aimed at generating new cultivars with better salinity stress tolerance. This paper is also a good reference source for readers who wish to get an overview about the general process from gene prediction to validation by experiments, including the details on techniques and approaches used. Another demonstration is provided by Khan et al. whose interest is enhancement of drought tolerance in crops. The focus of this article is to overview our current understanding of mechanisms regulating plants responses to drought. Evaluation of plant performance to drought and production of new elite varieties with better drought tolerance on the basis of using phenotyping and genomics-assisted breeding are also well discussed. In addition to the topics of environmental stress tolerance in plants, current knowledge on improving biotic stress tolerance is also summarized in our issue. Current picture on crosstalk of signaling mechanisms in rice between its immune system and symbiosis with microorganisms is presented by Akamatsu et al. Rice responses to bacteria and fungi via interactions between the plant pattern recognition receptors and the molecular microbe-associated molecular patterns are described in detail and suggested as targets for manipulation in order to increase disease resistance in crops. On the other hand, Bouain et al. are concerned about nutrient deficiency; specifically, how plant root system develops under growing conditions with inadequate phosphate. The authors overviewed our current understanding of the low phosphate-responsive mechanisms in Arabidopsis model plant, which was gained by using a combination of various advanced methods, including high-througput phenotyping, system biology analysis and "omics" technologies. Stress management in plants is proposed to be also achievable by regulating activities of cyclic nucleotide-gated ion channels. As emphasized in the paper of Jha et al., the application of such channels is important in mediating cellular ion homeostasis and plant tolerance to both biotic and abiotic stresses. In summary, with recent progresses in biological and biotechnological areas, especially rapid development of advanced technologies in biological system modeling, functional genomics, computer-based analyzing tools, genetic engineering and molecular breeding, biological control and biotechnological applications in agriculture have brought about an extraordinary revolution and have been considered the most powerful approaches in maintaining or even increasing crop yield. Therefore, in this issue, we would like to introduce to the audience a collection of various strategies used for enhancing crop productivity, with the focus on advanced biological-biotechnological platforms in the post-genomics era.

摘要

在农业活动中,要获得高产并非总是能够实现的,因为这取决于多种因素,包括品种质量、养分和水分供应、病原体感染程度、自然灾害以及土壤条件等,这些因素都会影响植物的生长发育。更值得注意的是,在全球气候变化不可预测、更多巨大或多重胁迫出现以及耕地受限的时代,为不断增长的人口提供足够食物的可持续植物生产力已成为科学家们面临的棘手问题。通过农业技术手段建立的成熟农业管理方式已不再足以有效应对这一挑战。相反,为了实现产量最大化,建议将此类做法与生物应用相结合。如今,高科技已广泛应用于农业生产、生物多样性保护和作物改良。Wang等人很好地概述了基于DNA的技术在该领域的应用。其中包括:(i)将DNA标记应用于品种鉴定、种子纯度分析、种质资源评估、杂种优势预测、遗传图谱绘制、克隆和育种;(ii)利用基因表达数据来描述作物物候、分析比较胁迫与非胁迫条件下作物的生长情况或研究肥料效应。此外,该综述还讨论了转基因技术在农业中的各种应用目的,例如培育具有更好产品质量、对生物或非生物胁迫具有更强耐受性的品种。本期的一个重要亮点是对高通量测序技术(也称为下一代测序,NGS)所带来的益处进行了综述。不难认识到,其应用使我们能够在更深层次和更大规模上开展生物学研究。在他们的文章中,Onda和Mochida详细介绍了如何使用这些技术来全面表征特定植物物种内的遗传多样性或多基因性。作者讨论了测序平台的不断创新,这使得测序技术比以往任何时候都更加优越和强大。此外,这些努力不仅进一步降低了测序成本、提高了测序速度,还提高了测序准确性,并将测序应用扩展到DNA和RNA水平的研究。此类知识将有助于科学家至少部分地解释植物如何适应各种环境条件,或者不同品种如何对相同胁迫做出不同反应。Ong等人的另一篇文章也强调了各种高通量测序平台的重要性,借助这些平台,已经建立了大量提供详细注释和有用生物信息学工具的基因组数据库,以协助遗传学家。读者可以在本综述中找到最新的可用植物特异性基因组数据库以及与比较基因组学、植物进化和系统发育基因组学研究相关的流行网络资源的总结。这些与其他方法,如数量性状位点和全基因组关联研究一起,将为预测和鉴定负责有价值农艺性状的基因或等位基因奠定基础,有助于通过基因工程方法提高植物生产力。在本期专题中,还展示了作物改良的具体实例。第一个例子是Nongpiur等人提供的,他们证明了基因组学方法和高通量基因表达方法的协同应用有助于剖析盐度响应信号通路、鉴定参与胁迫反应的基因,并选择候选基因进行进一步表征,旨在培育具有更好盐胁迫耐受性的新品种。本文对于希望全面了解从基因预测到实验验证的一般过程,包括所使用技术和方法细节的读者来说,也是一个很好的参考来源。另一个例子是Khan等人提供的,他们关注的是提高作物的耐旱性。本文的重点是概述我们目前对调节植物干旱反应机制的理解。还详细讨论了基于表型分析和基因组学辅助育种评估植物对干旱的表现以及培育具有更好耐旱性的新优良品种。除了植物对环境胁迫耐受性的主题外,本期还总结了当前关于提高生物胁迫耐受性的知识。Akamatsu等人介绍了水稻免疫系统与微生物共生之间信号传导机制相互作用的现状。详细描述了水稻通过植物模式识别受体与分子微生物相关分子模式之间的相互作用对细菌和真菌的反应,并建议将其作为操纵靶点以提高作物抗病性。另一方面,Bouain等人关注养分缺乏问题;具体而言,是植物根系在磷酸盐不足的生长条件下如何发育。作者概述了我们目前通过使用包括高通量表型分析、系统生物学分析和“组学”技术在内的各种先进方法组合所获得的对拟南芥模式植物低磷酸盐响应机制的理解。还提出通过调节环核苷酸门控离子通道的活性来实现植物的胁迫管理。正如Jha等人的论文所强调的,此类通道的应用在介导细胞离子稳态和植物对生物和非生物胁迫的耐受性方面很重要。总之,随着生物学和生物技术领域的最新进展,特别是生物系统建模、功能基因组学、基于计算机的分析工具、基因工程和分子育种等先进技术的快速发展,农业中的生物防治和生物技术应用带来了非凡的革命,并被认为是维持甚至提高作物产量的最有力方法。因此,在本期中,我们想向读者介绍一系列用于提高作物生产力的策略,重点是后基因组时代的先进生物 - 生物技术平台。

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