Evidence map›Paper›PMID 26937280›Full record

ReviewGigaScience2016

Integrated metabolomics and phytochemical genomics approaches for studies on rice.

Yozo Okazaki, Kazuki Saito

Abstract readReview
In one paragraph

Review in GigaScience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. 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
  2. Article
  3. Genomics and breeding innovations for enhancing genetic gain for climate resilience and nutrition traits.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. 5Gs for crop genetic improvement.Current opinion in plant biology · 2020
    Review
  11. Review
  12. Crop metabolomics: from diagnostics to assisted breeding.Metabolomics : Official journal of the Metabolomic Society · 2018
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. 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

2 authors.

Yozo OkazakiRIKEN Center for Sustainable Resource Science, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama 230-0045 Japan ; Kihara Institute for Biological Research, Yokohama City University, 641-12 Maioka-cho, Totsuka-ku, Yokohama, Kanagawa 244-0813 Japan.
Kazuki SaitoRIKEN Center for Sustainable Resource Science, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama 230-0045 Japan ; Graduate School of Pharmaceutical Sciences, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8675 Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics is widely employed to monitor the cellular metabolic state and assess the quality of plant-derived foodstuffs because it can be used to manage datasets that include a wide range of metabolites in their analytical samples. In this review, we discuss metabolomics research on rice in order to elucidate the overall regulation of the metabolism as it is related to the growth and mechanisms of adaptation to genetic modifications and environmental stresses such as fungal infections, submergence, and oxidative stress. We also focus on phytochemical genomics studies based on a combination of metabolomics and quantitative trait locus (QTL) mapping techniques. In addition to starch, rice produces many metabolites that also serve as nutrients for human consumers. The outcomes of recent phytochemical genomics studies of diverse natural rice resources suggest there is potential for using further effective breeding strategies to improve the quality of ingredients in rice grains.

Indexed as

Chromosome MappingGenomicsHot TemperatureHumansMetabolomeMetabolomicsOryzaPhytochemicalsPlant BreedingQuantitative Trait LociPhytochemicalsMass spectrometryMetabolismMetabolomicsPhytochemical genomicsQuantitative trait lociRice

Identifiers

PMID26937280
PMCPMC4774183

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.