基因技术和功能基因组学在提高作物性状和农业可持续性方面的进步。

IF 2.5 3区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Surender Kumar, Anupama Singh, Chander Mohan Singh Bist, Munish Sharma
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引用次数: 0

摘要

遗传变异对于培育具有经济效益性状的作物新品种至关重要。这些性状可以从野生近缘植物中遗传,也可以通过诱变诱导。这样就可以确定新的遗传元素,预测新的基因功能。本研究介绍了正向遗传学和反向遗传学方法,以及它们在现代作物改良计划和功能基因组学中的应用。正向遗传学利用可遗传的表型和相关遗传标记,通过传统的遗传图谱和等位基因频率估计来寻找基因。尽管最近在测序技术、omics 和计算方面取得了进步,但基因冗余仍然是正向遗传学面临的一大挑战。通过分析密切相关的基因,我们将能够剖析其功能冗余,并预测可能的性状和基因活动模式。除了这些预测之外,还可以使用复杂的反向基因编辑工具来验证这些预测,包括TILLING、定向插入诱变、基因沉默、基因打靶和基因组编辑。通过使用基因敲除、敲上和敲除策略,这些工具能够检测细胞中的基因变化。此外,通过表观基因组分析和编辑,可以在现有作物栽培品种中开发新的性状,而不会因增加外显子变异而影响其基因构成。所有这些发现修正了我们对基因功能和各种生物现象的分子动力学的理解。这项研究还确定了作物物种的新基因靶标,以通过常规和非常规方法提高产量和抗逆性。本文特别讨论了遗传技术和功能基因组学,并评估了它们在作物改良方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advancements in genetic techniques and functional genomics for enhancing crop traits and agricultural sustainability.

Genetic variability is essential for the development of new crop varieties with economically beneficial traits. The traits can be inherited from wild relatives or induced through mutagenesis. Novel genetic elements can then be identified and new gene functions can be predicted. In this study, forward and reverse genetics approaches were described, in addition to their applications in modern crop improvement programs and functional genomics. By using heritable phenotypes and linked genetic markers, forward genetics searches for genes by using traditional genetic mapping and allele frequency estimation. Despite recent advances in sequencing technology, omics and computation, genetic redundancy remains a major challenge in forward genetics. By analyzing close-related genes, we will be able to dissect their functional redundancy and predict possible traits and gene activity patterns. In addition to these predictions, sophisticated reverse gene editing tools can be used to verify them, including TILLING, targeted insertional mutagenesis, gene silencing, gene targeting and genome editing. By using gene knock-down, knock-up and knock-out strategies, these tools are able to detect genetic changes in cells. In addition, epigenome analysis and editing enable the development of novel traits in existing crop cultivars without affecting their genetic makeup by increasing epiallelic variants. Our understanding of gene functions and molecular dynamics of various biological phenomena has been revised by all of these findings. The study also identifies novel genetic targets in crop species to improve yields and stress tolerances through conventional and non-conventional methods. In this article, genetic techniques and functional genomics are specifically discussed and assessed for their potential in crop improvement.

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来源期刊
Briefings in Functional Genomics
Briefings in Functional Genomics BIOTECHNOLOGY & APPLIED MICROBIOLOGY-GENETICS & HEREDITY
CiteScore
6.30
自引率
2.50%
发文量
37
审稿时长
6-12 weeks
期刊介绍: Briefings in Functional Genomics publishes high quality peer reviewed articles that focus on the use, development or exploitation of genomic approaches, and their application to all areas of biological research. As well as exploring thematic areas where these techniques and protocols are being used, articles review the impact that these approaches have had, or are likely to have, on their field. Subjects covered by the Journal include but are not restricted to: the identification and functional characterisation of coding and non-coding features in genomes, microarray technologies, gene expression profiling, next generation sequencing, pharmacogenomics, phenomics, SNP technologies, transgenic systems, mutation screens and genotyping. Articles range in scope and depth from the introductory level to specific details of protocols and analyses, encompassing bacterial, fungal, plant, animal and human data. The editorial board welcome the submission of review articles for publication. Essential criteria for the publication of papers is that they do not contain primary data, and that they are high quality, clearly written review articles which provide a balanced, highly informative and up to date perspective to researchers in the field of functional genomics.
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