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231224s2016 xx |||||o 00| ||eng c |
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|a 10.1270/jsbbs.66.122
|2 doi
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|a eng
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| 100 |
1 |
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|a Shiratake, Katsuhiro
|e verfasserin
|4 aut
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| 245 |
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|a Omics studies of citrus, grape and rosaceae fruit trees
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|c 2016
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|a Text
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Completed 12.04.2016
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|a Date Revised 01.10.2020
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a 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
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|a Journal Article
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|a Review
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|a citrus
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| 650 |
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|a grapevine
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| 650 |
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4 |
|a metabolomics
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| 650 |
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4 |
|a omics
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| 650 |
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4 |
|a proteomics
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| 650 |
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4 |
|a rosaceae fruit tree
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| 650 |
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4 |
|a transcriptomics
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| 700 |
1 |
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|a Suzuki, Mami
|e verfasserin
|4 aut
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|i Enthalten in
|t Breeding science
|d 1998
|g 66(2016), 1 vom: 10. Jan., Seite 122-38
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|x 1344-7610
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|g volume:66
|g year:2016
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|g day:10
|g month:01
|g pages:122-38
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|u http://dx.doi.org/10.1270/jsbbs.66.122
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