Using next-generation sequencing approach for discovery and characterization of plant molecular markers

IF 5.4 Q1 PLANT SCIENCES
Bahman Panahi , Hossein Mohammadzadeh Jalaly , Rasmieh Hamid
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引用次数: 0

Abstract

Crop development is critical to meeting the world's growing food needs, especially in light of the challenges posed by climate change and population growth. Molecular markers (MM) have become an indispensable tool in breeding programmes as they enable rapid trait selection and monitoring of genetic variation. Next generation sequencing (NGS) has transformed genomics by providing low-cost, high-throughput technologies for the identification of markers in plants. This review focuses on the latest applications, advances and opportunities of NGS in the discovery and characterization of MM in plants. We have addressed the involvement of NGS in the detection of different types of markers such as single nucleotide polymorphisms (SNPs), indels, simple sequence repeats (SSRs) and structural variants (SVs) and their applications in functional genomics and plant breeding. We have also demonstrated the possibility of combining NGS with modern bioinformatics techniques to accelerate the development of markers and improve crop resistance and yield.
利用新一代测序方法发现和鉴定植物分子标记
作物开发对于满足世界日益增长的粮食需求至关重要,尤其是在气候变化和人口增长带来挑战的情况下。分子标记(MM)可以快速选择性状和监测遗传变异,因此已成为育种计划中不可或缺的工具。下一代测序(NGS)为植物标记的鉴定提供了低成本、高通量的技术,从而改变了基因组学。本综述重点介绍 NGS 在植物 MM 发现和表征方面的最新应用、进展和机遇。我们探讨了 NGS 在检测不同类型标记(如单核苷酸多态性 (SNP)、嵌合体 (indels)、简单序列重复 (SSR) 和结构变异 (SV) 等)中的应用及其在功能基因组学和植物育种中的应用。我们还展示了将 NGS 与现代生物信息学技术相结合的可能性,以加快标记的开发,提高作物的抗性和产量。
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来源期刊
Current Plant Biology
Current Plant Biology Agricultural and Biological Sciences-Plant Science
CiteScore
10.90
自引率
1.90%
发文量
32
审稿时长
50 days
期刊介绍: Current Plant Biology aims to acknowledge and encourage interdisciplinary research in fundamental plant sciences with scope to address crop improvement, biodiversity, nutrition and human health. It publishes review articles, original research papers, method papers and short articles in plant research fields, such as systems biology, cell biology, genetics, epigenetics, mathematical modeling, signal transduction, plant-microbe interactions, synthetic biology, developmental biology, biochemistry, molecular biology, physiology, biotechnologies, bioinformatics and plant genomic resources.
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