Evidence map›Paper›PMID 34394145›Full record

ReviewFrontiers in plant science2021

Research Progress and Future Development Trends in Medicinal Plant Transcriptomics.

Junda Guo, Zhen Huang, Jialing Sun, Xiuming Cui, Yuan Liu

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. First EST-SSRs ofPlants (Basel, Switzerland) · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Rootstock Selection for Resisting CucumberPlants (Basel, Switzerland) · 2025
    Article
  12. Editorial:Acta biochimica Polonica · 2025
    Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Comparative transcriptome analysis and HPLC reveal candidate genes associated with synthesis of bioactive constituents inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2024
    Article
  18. Cutting-edge plant natural product pathway elucidation.Current opinion in biotechnology · 2024
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Junda GuoFaculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China.
Zhen HuangYuxi Walvax Biotechnology Co., Ltd., Yuxi, China.
Jialing SunFaculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China.
Xiuming CuiFaculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China.
Yuan LiuFaculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

developmental mechanismfunctional genesmedicinal plantRNA-Seq sequencingsecondary metabolismtranscriptomics

Identifiers

PMID34394145
PMCPMC8355584

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.