Evidence map›Paper›PMID 41083359›Full record

ReviewProceedings of the Japan Academy. Series B, Physical and biological sciences2025

Development of phytochemical genomics: From decoding metabolome to functional genomics and biotechnology of plant metabolism.

Kazuki Saito

Abstract readReview
In one paragraph

Review in Proceedings of the Japan Academy. Series B, Physical and biological sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

1 author.

Kazuki SaitoRIKEN Center for Sustainable Resource Science.ORCID http://orcid.org/0000-0001-6310-5342

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A characteristic feature of plants is their ability to produce a vast array of metabolites, a trait shaped by their evolution into sessile organisms. Over the past three decades, I have contributed to the development of phytochemical genomics, a field that emerged during the genomic era. Our research group established advanced analytical platforms for plant metabolomics by integrating state-of-the-art instruments with informatics tools. By combining genomics, transcriptomics, and metabolomics, we uncovered novel gene functions and identified new metabolites and gene-metabolite networks. Our study encompassed a broad spectrum of metabolites ranging from primary products, such as amino acids, sulfur-containing compounds, and lipids, to specialized (secondary) compounds, including flavonoids, alkaloids, and terpenoids. Initially, our focus was on the model plant Arabidopsis thaliana; however, we later included crops such as rice and tomato, as well as medicinal plants. This review highlights the key aspects of my research journey.

Indexed as

BiotechnologyGenomicsMetabolomeMetabolomicsPhytochemicalsPlantsPhytochemicalsfunctional genomicsmass spectrometrymetabolomicsphytochemical genomicsplant metabolismspecialized metabolites

Identifiers

PMID41083359
PMCPMC12674995

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.