The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.
Systems Biology of Tomato Fruit Development: Combined Transcript, Protein, and Metabolite Analysis of Tomato Transcription Factor (nor, rin) and Ethylene Receptor (Nr) Mutants Reveals Novel Regulatory Interactions
Open accessAbstract
Tomato (Solanum lycopersicum) is an established model to study fleshy fruit development and ripening. Tomato ripening is regulated independently and cooperatively by ethylene and transcription factors, including nonripening (NOR) and ripening-inhibitor (RIN). Mutations of NOR, RIN, and the ethylene receptor Never-ripe (Nr), which block ethylene perception and inhibit ripening, have proven to be great tools for advancing our understanding of the developmental programs regulating ripening. In this study, we present systems analysis of nor, rin, and Nr at the transcriptomic, proteomic, and metabolomic levels during development and ripening. Metabolic profiling marked shifts in the abundance of metabolites of primary metabolism, which lead to decreases in metabolic activity during ripening. When combined with transcriptomic and proteomic data, several aspects of the regulation of metabolism during ripening were revealed. First, correlations between the expression levels of a transcript and the abundance of its corresponding protein were infrequently observed during early ripening, suggesting that posttranscriptional regulatory mechanisms play an important role in these stages; however, this correlation was much greater in later stages. Second, we observed very strong correlation between ripening-associated transcripts and specific metabolite groups, such as organic acids, sugars, and cell wall-related metabolites, underlining the importance of these metabolic pathways during fruit ripening. These results further revealed multiple ethylene-associated events during tomato ripening, providing new insights into the molecular biology of ethylene-mediated ripening regulatory networks.
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Bradford, M. M. (1976) · Analytical Biochemistry · doi:10.1016/0003-2697(76)90527-3 · Cited by 255,302
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Smyth, G. K. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1027 · Cited by 11,829
Abràmoff, M. D., Magalhães, P. J., & Ram, S. J. (2004) · Utrecht University Repository (Utrecht University) · Cited by 11,821
R: A Language for Data Analysis and Graphics
Ihaka, R., & Gentleman, R. (1996) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.1996.10474713 · Cited by 11,220
Yang, Y. H. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.4.e15 · Cited by 3,464
Ethylene Biosynthesis and its Regulation in Higher Plants
Yang, S. F., & Hoffman, N. E. (1984) · Annual Review of Plant Physiology · doi:10.1146/annurev.pp.35.060184.001103 · Cited by 3,325
Integration of biological networks and gene expression data using Cytoscape
Cline, M. S., Smoot, M., Cerami, E., Kuchinsky, A., Landys, N., Workman, C., Christmas, R., Avila-Campilo, I., Creech, M., Gross, B., et al. (2007) · Nature Protocols · doi:10.1038/nprot.2007.324 · Cited by 2,507
Gas chromatography mass spectrometry–based metabolite profiling in plants
Lisec, J., Schauer, N., Kopka, J., Willmitzer, L., & Fernie, A. R. (2006) · Nature Protocols · doi:10.1038/nprot.2006.59 · Cited by 2,170
Self-citationNormalization of cDNA microarray data
Smyth, G. K., & Speed, T. (2003) · Methods · doi:10.1016/s1046-2023(03)00155-5 · Cited by 1,871
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Molecular regulation of seed and fruit set
Ruan, Y.-L., Patrick, J. W., Bouzayen, M., Osorio, S., & Fernie, A. R. (2012) · Trends in Plant Science · doi:10.1016/j.tplants.2012.06.005 · Cited by 438
Self-citationMetabolomics for Plant Improvement: Status and Prospects
Kumar, R., Bohra, A., Pandey, A. K., Pandey, M. K., & Kumar, A. (2017) · Frontiers in Plant Science · doi:10.3389/fpls.2017.01302 · Cited by 328
Metadata
- Authors
- Osorio, S., Alba, R., Damasceno, C. M. B., Lopez-Casado, G., Lohse, M., Zanor, M. I., Tohge, T., Usadel, B., Rose, J. K. C., Fei, Z., Giovannoni, J. J., & Fernie, A. R.
- Venue
- Plant Physiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-07-27
- Volume
- 157
- Issue
- 1
- Pages
- 405-425
- ISSN
- 0032-0889 (ISSN-L)
- 1532-2548
- OpenAlex
- W2097410740
- Cited by
- 334
- References
- 84
- FWCI
- 28.70
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Osorio, S., Alba, R., Damasceno, C. M. B., Lopez-Casado, G., Lohse, M., Zanor, M. I., Tohge, T., Usadel, B., Rose, J. K. C., Fei, Z., Giovannoni, J. J., & Fernie, A. R. (2011). Systems Biology of Tomato Fruit Development: Combined Transcript, Protein, and Metabolite Analysis of Tomato Transcription Factor (nor, rin) and Ethylene Receptor (Nr) Mutants Reveals Novel Regulatory Interactions. Plant Physiology. https://doi.org/10.1104/pp.111.175463
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