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Koh Aoki

Researcher at Osaka Prefecture University

Publications -  83
Citations -  7860

Koh Aoki is an academic researcher from Osaka Prefecture University. The author has contributed to research in topics: Gene & Arabidopsis thaliana. The author has an hindex of 35, co-authored 81 publications receiving 6808 citations.

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The tomato genome sequence provides insights into fleshy fruit evolution

Shusei Sato, +323 more
- 31 May 2012 - 
TL;DR: A high-quality genome sequence of domesticated tomato is presented, a draft sequence of its closest wild relative, Solanum pimpinellifolium, is compared, and the two tomato genomes are compared to each other and to the potato genome.
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Omics-based identification of Arabidopsis Myb transcription factors regulating aliphatic glucosinolate biosynthesis

TL;DR: Two R2R3-Myb transcription factors are found that positively control the biosynthesis of GSLs in Arabidopsis thaliana by an integrated omics approach and a working model for regulation of GSL production involving these genes, renamed Production of Methionine-Derived Glucosinolate (PMG) 1 and 2 are postulated.
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AtIPT3 is a Key Determinant of Nitrate-Dependent Cytokinin Biosynthesis in Arabidopsis

TL;DR: It is suggested that nitrogen availability differentially regulates expression of At IPT3 and AtIPT5, and that AtIPt3 is a key determinant of cytokinin biosynthesis in response to rapid changes in the availability of NO(3)(-).
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Approaches for extracting practical information from gene co-expression networks in plant biology.

TL;DR: Co-expression network analysis is a powerful approach for data-driven hypothesis construction and gene prioritization, and provides novel insights into the system-level understanding of plant cellular processes.
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Metabolite annotations based on the integration of mass spectral information

TL;DR: Based on the comprehensive characterization of tomato fruit metabolites, it is demonstrated that metabolite annotation facilitates the systematic analysis of unknown metabolites and biological interpretation of their relationships, which provide a basis for integrating metabolite information into the system-level study of plant biology.