The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Omics-based identification of Arabidopsis Myb transcription factors regulating aliphatic glucosinolate biosynthesis
Open accessAbstract
Understanding plant metabolism as an integrated system is essential for metabolic engineering aimed at the effective production of compounds useful to human life and the global environment. The “omics” approach integrates transcriptome and metabolome data into a single data set and can lead to the identification of unknown genes and their regulatory networks involved in metabolic pathways of interest. One of the intriguing, although poorly described metabolic pathways in plants is the biosynthesis of glucosinolates (GSLs), a group of bioactive secondary products derived from amino acids that are found in the family Brassicaceae. Here we report the discovery of two R2R3-Myb transcription factors that positively control the biosynthesis of GSLs in Arabidopsis thaliana by an integrated omics approach. Combined transcriptome coexpression analysis of publicly available, condition-independent data and the condition-specific (i.e., sulfur-deficiency) data identified Myb28 and Myb29 as candidate transcription factor genes specifically involved in the regulation of aliphatic GSL production. Analysis of a knockout mutant and ectopic expression of the gene demonstrated that Myb28 is a positive regulator for basal-level production of aliphatic GSLs. Myb29 presumably plays an accessory function for methyl jasmonate-mediated induction of a set of aliphatic GSL biosynthetic genes. Overexpression of Myb28 in Arabidopsis -cultured suspension cells, which do not normally synthesize GSLs, resulted in the production of large amounts of GSLs, suggesting the possibility of efficient industrial production of GSLs by manipulation of these transcription factors. 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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Cites
Floral dip: a simplified method forAgrobacterium‐mediated transformation ofArabidopsis thaliana
Clough, S. J., & Bent, A. F. (1998) · The Plant Journal · doi:10.1046/j.1365-313x.1998.00343.x · Cited by 21,934
Genome-Wide Insertional Mutagenesis of Arabidopsis thaliana
Alonso, J. M., Stepanova, A. N., Leisse, T. J., Kim, C. J., Chen, H., Shinn, P., Stevenson, D. K., Zimmerman, J., Barajas, P., Cheuk, R., et al. (2003) · Science · doi:10.1126/science.1086391 · Cited by 5,102
Environmental, economic, and energetic costs and benefits of biodiesel and ethanol biofuels
Hill, J., Nelson, E., Tilman, D., Polasky, S., & Tiffany, D. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0604600103 · Cited by 2,871
BIOLOGY AND BIOCHEMISTRY OF GLUCOSINOLATES
Halkier, B. A., & Gershenzon, J. (2006) · Annual Review of Plant Biology · doi:10.1146/annurev.arplant.57.032905.105228 · Cited by 2,271
The R2R3-MYB gene family in Arabidopsis thaliana
Stracke, R., Werber, M., & Weisshaar, B. (2001) · Current Opinion in Plant Biology · doi:10.1016/s1369-5266(00)00199-0 · Cited by 2,197
Fahey, J. W., Zhang, Y., & Talalay, P. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.19.10367 · Cited by 1,376
Fahey, J. W., Haristoy, X., Dolan, P. M., Kensler, T. W., Scholtus, I., Stephenson, K. K., Talalay, P., & Lozniewski, A. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.112203099 · Cited by 795
Hirai, M. Y., Yano, M., Goodenowe, D. B., Kanaya, S., Kimura, T., Awazuhara, M., Arita, M., Fujiwara, T., & Saito, K. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0403218101 · Cited by 754
Self-citationGlucosinolate metabolism and its control
Grubb, C. D., & Abel, S. (2006) · Trends in Plant Science · doi:10.1016/j.tplants.2005.12.006 · Cited by 733
Phytochemicals from Cruciferous Plants Protect against Cancer by Modulating Carcinogen Metabolism
Talalay, P., & Fahey, J. W. (2001) · The Journal of Nutrition · doi:10.1093/jn/131.11.3027s · Cited by 609
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Gallego, S. M., Pena, L. B., Barcia, R. A., Azpilicueta, C. E., Iannone, M. F., Rosales, E. P., Zawoznik, M. S., Groppa, M. D., & Benavides, M. P. (2012) · Environmental and Experimental Botany · doi:10.1016/j.envexpbot.2012.04.006 · Cited by 1,199
Glucosinolate Metabolites Required for an Arabidopsis Innate Immune Response
Clay, N. K., Adio, A. M., Denoux, C., Jander, G., & Ausubel, F. M. (2009) · Science · doi:10.1126/science.1164627 · Cited by 1,098
Biosynthesis of glucosinolates – gene discovery and beyond
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Metadata
- Authors
- Hirai, M. Y., Sugiyama, K., Sawada, Y., Tohge, T., Obayashi, T., Suzuki, A., Araki, R., Sakurai, N., Suzuki, H., Aoki, K., Goda, H., Nishizawa, O. I., Shibata, D., & Saito, K.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2007-04-10
- Volume
- 104
- Issue
- 15
- Pages
- 6478-6483
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W1999498230
- Cited by
- 732
- References
- 39
- FWCI
- 19.52
- Type
- journal article
- Language
- en
- Open access
- green
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- Hirai, M. Y., Sugiyama, K., Sawada, Y., Tohge, T., Obayashi, T., Suzuki, A., Araki, R., Sakurai, N., Suzuki, H., Aoki, K., Goda, H., Nishizawa, O. I., Shibata, D., & Saito, K. (2007). Omics-based identification of Arabidopsis Myb transcription factors regulating aliphatic glucosinolate biosynthesis. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0611629104
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