Data_Sheet_4_Research Progress and Future Development Trends in Medicinal Plant Transcriptomics.docx

Transcriptomics is one of the most popular topics in biology in recent times. Transcriptome sequencing (RNA-Seq) is a high-throughput, high-sensitivity, and high-resolution technique that can be used to study model and non-model organisms. Transcriptome sequencing is also an important method for studying the genomes of medicinal plants, a topic on which limited information is available. The study of medicinal plants through transcriptomics can help researchers analyze functional genes and regulatory mechanisms of medicinal plants and improve breeding selection and cultivation techniques. This article analyzes and compares the applications of transcriptome sequencing in medicinal plants over the past decade and briefly introduces the methods of transcriptome sequencing and analysis, their applications in medicinal plant research, and potential development trends. We will focus on the research and application progress of transcriptome sequencing in the following four areas: the mining of functional genes in medicinal plants, development of molecular markers, biosynthetic pathways of secondary metabolites, and developmental mechanisms of medicinal plants. Our review will provide ideas for the mining of functional genes of medicinal plants and breeding new varieties.

转录组学（Transcriptomics）是近年来生物学领域最热门的研究方向之一。转录组测序（Transcriptome sequencing, RNA-Seq）是一种高通量、高灵敏度、高分辨率的技术，可用于模式生物与非模式生物的研究。转录组测序亦是研究药用植物基因组的重要手段，而当前该领域的相关研究信息仍较为有限。借助转录组学开展药用植物研究，可帮助研究者解析药用植物的功能基因与调控机制，同时优化育种选育与栽培技术。本文对近十年间转录组测序在药用植物中的应用展开分析与对比，并简要介绍了转录组测序与分析的相关方法、其在药用植物研究中的应用，以及潜在的发展趋势。本文将聚焦于转录组测序在以下四大领域的研究与应用进展：药用植物功能基因挖掘、分子标记开发、次生代谢产物生物合成通路，以及药用植物发育机制。本综述可为药用植物功能基因挖掘与新品种选育提供研究思路。