ReviewFrontiers in plant science2023
Application of third-generation sequencing to herbal genomics.
Review in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- Genomic mechanism of aroma terpenoids biosynthesis in plants.Journal of advanced research · 2026Review
- From Single Genes to Systemic Networks: Transcriptomic Insights into Traditional Chinese Medicine for Heart Failure.Drug design, development and therapy · 2026Review
- [Application ofZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025Review
- Analysis of Whole-Genome forJournal of fungi (Basel, Switzerland) · 2025Article
- From Species to Varieties: How Modern Sequencing Technologies Are Shaping Medicinal Plant Identification.Genes · 2024Review
- Full-length transcriptome characterization and analysis of Carrizo Citrange and molecular insights into pathogen defense.Molecular genetics and genomics : MGG · 2024Article
- Analysis of Whole-Genome for Identification of SevenInternational journal of molecular sciences · 2024Article
- Analysis of Whole-Genome as a Novel Strategy for Animal Species Identification.International journal of molecular sciences · 2024Article
- Telomere Length Variation in Model Bryophytes.Plants (Basel, Switzerland) · 2024Article
- Identification of closely related species inFrontiers in microbiology · 2024Article
- Analysis of Whole-Genome facilitates rapid and precise identification of fungal species.Frontiers in microbiology · 2024Article
- The Development of Plant Genome Sequencing Technology and Its Conservation and Application in Endangered Gymnosperms.Plants (Basel, Switzerland) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is a long history of traditional medicine use. However, little genetic information is available for the plants used in traditional medicine, which limits the exploitation of these natural resources. Third-generation sequencing (TGS) techniques have made it possible to gather invaluable genetic information and develop herbal genomics. In this review, we introduce two main TGS techniques, PacBio SMRT technology and Oxford Nanopore technology, and compare the two techniques against Illumina, the predominant next-generation sequencing technique. In addition, we summarize the nuclear and organelle genome assemblies of commonly used medicinal plants, choose several examples from genomics, transcriptomics, and molecular identification studies to dissect the specific processes and summarize the advantages and disadvantages of the two TGS techniques when applied to medicinal organisms. Finally, we describe how we expect that TGS techniques will be widely utilized to assemble telomere-to-telomere (T2T) genomes and in epigenomics research involving medicinal plants.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.