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Research Progress and Future Development Trends in Medicinal Plant Transcriptomics

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 stu...

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Autores principales: Guo, Junda, Huang, Zhen, Sun, Jialing, Cui, Xiuming, Liu, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355584/
https://www.ncbi.nlm.nih.gov/pubmed/34394145
http://dx.doi.org/10.3389/fpls.2021.691838
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author Guo, Junda
Huang, Zhen
Sun, Jialing
Cui, Xiuming
Liu, Yuan
author_facet Guo, Junda
Huang, Zhen
Sun, Jialing
Cui, Xiuming
Liu, Yuan
author_sort Guo, Junda
collection PubMed
description 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.
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spelling pubmed-83555842021-08-12 Research Progress and Future Development Trends in Medicinal Plant Transcriptomics Guo, Junda Huang, Zhen Sun, Jialing Cui, Xiuming Liu, Yuan Front Plant Sci Plant Science 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. Frontiers Media S.A. 2021-07-28 /pmc/articles/PMC8355584/ /pubmed/34394145 http://dx.doi.org/10.3389/fpls.2021.691838 Text en Copyright © 2021 Guo, Huang, Sun, Cui and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Guo, Junda
Huang, Zhen
Sun, Jialing
Cui, Xiuming
Liu, Yuan
Research Progress and Future Development Trends in Medicinal Plant Transcriptomics
title Research Progress and Future Development Trends in Medicinal Plant Transcriptomics
title_full Research Progress and Future Development Trends in Medicinal Plant Transcriptomics
title_fullStr Research Progress and Future Development Trends in Medicinal Plant Transcriptomics
title_full_unstemmed Research Progress and Future Development Trends in Medicinal Plant Transcriptomics
title_short Research Progress and Future Development Trends in Medicinal Plant Transcriptomics
title_sort research progress and future development trends in medicinal plant transcriptomics
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355584/
https://www.ncbi.nlm.nih.gov/pubmed/34394145
http://dx.doi.org/10.3389/fpls.2021.691838
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