Evidence map›Paper›PMID 30547286›Full record

ArticleJournal of natural medicines2019

Identification of potential genes involved in triterpenoid saponins biosynthesis in Gleditsia sinensis by transcriptome and metabolome analyses.

Yusuke Kuwahara, Daisuke Nakajima, Sayaka Shinpo, Michimi Nakamura, Noriaki Kawano, Nobuo Kawahara, Mami Yamazaki, Kazuki Saito, Hideyuki Suzuki, Hideki Hirakawa

Open access · hybridAbstract read
In one paragraph

Article in Journal of natural medicines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 29% of its field
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

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  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
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Genome-Wide Identification ofInternational journal of molecular sciences · 2021
    Article
  9. Review
  10. Transcriptome Analysis ofInternational journal of molecular sciences · 2019
    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

10 authors at 4 institutions in 1 country.

Yusuke KuwaharaGraduate School of Life Sciences, Tohoku University, Aoba-ku, Sendai, Miyagi, 980-8577, Japan.
Daisuke NakajimaKazusa DNA Research Institute, 2-6-7 Kazusa-kamatari, Kisarazu, Chiba, 292-0818, Japan.
Sayaka ShinpoKazusa DNA Research Institute, 2-6-7 Kazusa-kamatari, Kisarazu, Chiba, 292-0818, Japan.
Michimi NakamuraGraduate School of Pharmaceutical Sciences, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8675, Japan.
Noriaki KawanoTsukuba Division, Research Center for Medicinal Plant Resources, National Institutes of Biomedical Innovation, Health and Nutrition, Hachimandai 1-2, Tsukuba-shi, Ibaraki, 305-0843, Japan.
Nobuo KawaharaTsukuba Division, Research Center for Medicinal Plant Resources, National Institutes of Biomedical Innovation, Health and Nutrition, Hachimandai 1-2, Tsukuba-shi, Ibaraki, 305-0843, Japan.
Mami YamazakiGraduate School of Pharmaceutical Sciences, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8675, Japan.
Kazuki SaitoGraduate School of Pharmaceutical Sciences, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8675, Japan.
Hideyuki SuzukiKazusa DNA Research Institute, 2-6-7 Kazusa-kamatari, Kisarazu, Chiba, 292-0818, Japan.
Hideki HirakawaGraduate School of Life Sciences, Tohoku University, Aoba-ku, Sendai, Miyagi, 980-8577, Japan. hh@kazusa.or.jp.
Kazusa DNA Research Institute · JPChiba University · JPNational Institute of Biomedical Innovation, Health and Nutrition · JPTohoku University · JP

Funding

Japan Agency for Medical Research and Development 17ak0101046h0002
6 · The paper itself

Abstract

Gleditsia sinensis is widely used as a medicinal plant in Asia, especially in China. Triterpenes, alkaloids, and sterols were isolated from Gleditsia species. Among them, triterpenoid saponins are very important metabolites owing to their various pharmacological activities. However, the triterpenoid saponin biosynthesis pathway has not been well characterized. In the present study, we performed de novo transcriptome assembly for 14.3 Gbps of clean reads sequenced from nine tissues of G. sinensis. The results showed that 81,511 unique transcripts (unitranscripts) (47,855 unigenes) were constructed, of which 31,717 unigenes were annotated with Gene Ontology and EC numbers by Blast2GO against the NCBI-nr protein database. We also analyzed the metabolite contents in the same nine tissues by LS-MS/MS, and saponins including gleditsioside I were found in fruit at higher levels. Many of the genes with tissue-specific expression in fruit are involved in the flavonoid biosynthesis pathway, and many of those have UDP-glucosyltransferase (UGT) activity. We constructed a saponin biosynthesis pathway and identified two key enzyme families in the triterpenoid saponin biosynthesis pathway, cytochrome P450 and UDP-glucosyltransferase, that are encoded by 37 unigenes and 77 unigenes, respectively. CYP72A, CYP716A, and CYP88D, which are known as key enzymes for saponin biosynthesis, were also identified among the P450s. Our results provide insight into the secondary metabolite biosynthesis and serve as important resources for future research and cultivation of G. sinensis.

Indexed as

TranscriptomeChinaGene Expression ProfilingGene OntologyGleditsiaMetabolomePlants, MedicinalSaponinsSequence Analysis, RNATandem Mass SpectrometryTriterpenesSaponinsTriterpenesDe novo transcriptome assemblyGleditsia sinensisP450Saponin biosynthesisUGT

Identifiers

PMID30547286
PMCPMC6373339
OpenAlexW2904222469

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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.