Evidence map›Paper›PMID 25267402›Full record

ArticleThe Plant journal : for cell and molecular biology2015

Metabolome-genome-wide association study dissects genetic architecture for generating natural variation in rice secondary metabolism.

Fumio Matsuda, Ryo Nakabayashi, Zhigang Yang, Yozo Okazaki, Jun-ichi Yonemaru, Kaworu Ebana, Masahiro Yano, Kazuki Saito

Abstract read
In one paragraph

Article in The Plant journal : for cell and molecular biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.

0numbers the graph read from it
0cells of the map it votes in
77citing 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

77 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  6. 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
  7. Metabolic plasticity and adaptive evolution inFrontiers in plant science · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Plant biochemical genetics in the multiomics era.Journal of experimental botany · 2023
    Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. Review

17 more citing papers are in PubMed but not listed here.

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

8 authors.

Fumio MatsudaRIKEN Center for Sustainable Resource Science, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Japan; Department of Bioinformatic Engineering, Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, Osaka, Japan.
Ryo Nakabayashi
Zhigang Yang
Yozo Okazaki
Jun-ichi Yonemaru
Kaworu Ebana
Masahiro Yano
Kazuki Saito

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants produce structurally diverse secondary (specialized) metabolites to increase their fitness for survival under adverse environments. Several bioactive compounds for new drugs have been identified through screening of plant extracts. In this study, genome-wide association studies (GWAS) were conducted to investigate the genetic architecture behind the natural variation of rice secondary metabolites. GWAS using the metabolome data of 175 rice accessions successfully identified 323 associations among 143 single nucleotide polymorphisms (SNPs) and 89 metabolites. The data analysis highlighted that levels of many metabolites are tightly associated with a small number of strong quantitative trait loci (QTLs). The tight association may be a mechanism generating strains with distinct metabolic composition through the crossing of two different strains. The results indicate that one plant species produces more diverse phytochemicals than previously expected, and plants still contain many useful compounds for human applications.

Indexed as

Genetic VariationMetabolomeAdaptation, BiologicalChromatography, LiquidGenetic Association StudiesOryzaPhytochemicalsPolymorphism, Single NucleotideQuantitative Trait LociTandem Mass SpectrometryPhytochemicalsgenome-wide association studymetabolome analysisnatural variationOryza sativasecondary metabolites

Identifiers

PMID25267402
PMCPMC4309412

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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.