Evidence map›Paper›PMID 27069397›Full record

ReviewBreeding science2016

Omics studies of citrus, grape and rosaceae fruit trees.

Katsuhiro Shiratake, Mami Suzuki

Abstract readReview
In one paragraph

Review in Breeding science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Review
  3. Chromosome-scale genome assembly of acerola (Malpighia emarginata DC.).DNA research : an international journal for rapid publication of reports on genes and genomes · 2024
    Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Primary Metabolism in Avocado Fruit.Frontiers in plant science · 2019
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 'Omics' and Plant Responses toFrontiers in plant science · 2016
    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.

Katsuhiro ShiratakeGraduate School of Bioagricultural Sciences, Nagoya University , Chikusa, Nagoya, Aichi 464-8601 , Japan.
Mami SuzukiGraduate School of Bioagricultural Sciences, Nagoya University , Chikusa, Nagoya, Aichi 464-8601 , Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advance of bioinformatics and analytical apparatuses such as next generation DNA sequencer (NGS) and mass spectrometer (MS) has brought a big wave of comprehensive study to biology. Comprehensive study targeting all genes, transcripts (RNAs), proteins, metabolites, hormones, ions or phenotypes is called genomics, transcriptomics, proteomics, metabolomics, hormonomics, ionomics or phenomics, respectively. These omics are powerful approaches to identify key genes for important traits, to clarify events of physiological mechanisms and to reveal unknown metabolic pathways in crops. Recently, the use of omics approach has increased dramatically in fruit tree research. Although the most reported omics studies on fruit trees are transcriptomics, proteomics and metabolomics, and a few is reported on hormonomics and ionomics. In this article, we reviewed recent omics studies of major fruit trees, i.e. citrus, grapevine and rosaceae fruit trees. The effectiveness and prospects of omics in fruit tree research will as well be highlighted.

Indexed as

citrusgrapevinemetabolomicsomicsproteomicsrosaceae fruit treetranscriptomics

Identifiers

PMID27069397
PMCPMC4780796

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.