Evidence map›Paper›PMID 27378356›Full record

ArticlePlant cell reports2016

High-throughput sequencing and de novo transcriptome assembly of Swertia japonica to identify genes involved in the biosynthesis of therapeutic metabolites.

Amit Rai, Michimi Nakamura, Hiroki Takahashi, Hideyuki Suzuki, Kazuki Saito, Mami Yamazaki

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Article in Plant cell reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Development of phytochemical genomics: From decoding metabolome to functional genomics and biotechnology of plant metabolism.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2025
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  5. Elucidating the Mesocarp Drupe Transcriptome of Açai (International journal of molecular sciences · 2023
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  7. The complete chloroplast genome sequence ofMitochondrial DNA. Part B, Resources · 2023
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  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Researches on Transcriptome Sequencing in the Study of Traditional Chinese Medicine.Evidence-based complementary and alternative medicine : eCAM · 2017
    Review
  17. 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

6 authors.

Amit RaiGraduate School of Pharmaceutical Sciences, Chiba University, Inohana 1-8-1, Chuo-ku, Chiba, 260-8675, Japan. amit.rai@chiba-u.jp.ORCID http://orcid.org/0000-0002-5715-8541
Michimi NakamuraGraduate School of Pharmaceutical Sciences, Chiba University, Inohana 1-8-1, Chuo-ku, Chiba, 260-8675, Japan.
Hiroki TakahashiMedical Mycology Research Center, Chiba University, Chiba, Japan.
Hideyuki SuzukiDepartment of Research and Development, Kazusa DNA Research Institute, Chiba, Japan.
Kazuki SaitoGraduate School of Pharmaceutical Sciences, Chiba University, Inohana 1-8-1, Chuo-ku, Chiba, 260-8675, Japan.
Mami YamazakiGraduate School of Pharmaceutical Sciences, Chiba University, Inohana 1-8-1, Chuo-ku, Chiba, 260-8675, Japan. mamiy@faculty.chiba-u.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageHere, we report potential transcripts involved in the biosynthesis of therapeutic metabolites in Swertia japonica , the first report of transcriptome assembly, and characterization of the medicinal plant from Swertia genus. Swertia genus, representing over 170 plant species including herbs such as S. chirata, S. hookeri, S. longifolia, S. japonica, among others, have been used as the traditional medicine in China, India, Korea, and Japan for thousands of years. Due to the lack of genomic and transcriptomic resources, little is known about the molecular basis involved in the biosynthesis of characteristic key bioactive metabolites. Here, we performed deep-transcriptome sequencing for the aerial tissues and the roots of S. japonica, generating over 2 billion raw reads with an average length of 101 bps. Using a combined approach of three popular assemblers, de novo transcriptome assembly for S. japonica was obtained, yielding 81,729 unigenes having an average length of 884 bps and N50 value of 1452 bps, of which 46,963 unigenes were annotated based on the sequence similarity against NCBI-nr protein database. Annotation of transcriptome assembly resulted in the identification of putative genes encoding all enzymes from the key therapeutic metabolite biosynthesis pathways. Transcript abundance analysis, gene ontology enrichment analysis, and KEGG pathway enrichment analysis revealed metabolic processes being up-regulated in the aerial tissues with respect to the roots of S. japonica. We also identified 37 unigenes as potential candidates involved in the glycosylation of bioactive metabolites. Being the first report of transcriptome assembly and annotation for any of the Swertia species, this study will be a valuable resource for future investigations on the biosynthetic pathways of therapeutic metabolites and their regulations.

Indexed as

Genes, PlantBiosynthetic PathwaysGene Expression ProfilingGene Expression Regulation, PlantGene OntologyGlucosyltransferasesHigh-Throughput Nucleotide SequencingIridoid GlucosidesIridoidsMetabolomeMicrosatellite RepeatsMolecular Sequence AnnotationPhylogenyPlant RootsPyronesSwertiaamarogentinGlucosyltransferasesIridoid GlucosidesIridoidsPyronesswertiamarinMEP biosynthesis pathwaysSecoiridoid metabolic pathwaysS. japonica transcriptome assemblySwertia genusSwertiamarin

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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.