The DOI matches its Crossref record; 110 of the 110 references it cites were found in a registry or an index.
Plant Metabolomics: An Indispensable System Biology Tool for Plant Science
Open accessAbstract
As genomes of many plant species have been sequenced, demand for functional genomics has dramatically accelerated the improvement of other omics including metabolomics. Despite a large amount of metabolites still remaining to be identified, metabolomics has contributed significantly not only to the understanding of plant physiology and biology from the view of small chemical molecules that reflect the end point of biological activities, but also in past decades to the attempts to improve plant behavior under both normal and stressed conditions. Hereby, we summarize the current knowledge on the genetic and biochemical mechanisms underlying plant growth, development, and stress responses, focusing further on the contributions of metabolomics to practical applications in crop quality improvement and food safety assessment, as well as plant metabolic engineering. We also highlight the current challenges and future perspectives in this inspiring area, with the aim to stimulate further studies leading to better crop improvement of yield and quality.
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Cites
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Cited by
Metabolomics 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
Metabolomics as an Emerging Tool for the Study of Plant–Pathogen Interactions
Castro-Moretti, F. R., Gentzel, I. N., Mackey, D., & Alonso, A. P. (2020) · Metabolites · doi:10.3390/metabo10020052 · Cited by 269
Exploring deep learning for complex trait genomic prediction in polyploid outcrossing species
Zingaretti, L. M., Gezan, S. A., Ferrão, L. F. V., Osorio, L. F., Monfort, A., Muñoz, P. R., Whitaker, V. M., & Pérez-Enciso, M. (2020) · Frontiers in Plant Science · doi:10.3389/fpls.2020.00025 · Cited by 159
Review: Metabolomics as a Prediction Tool for Plants Performance under Environmental Stress
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Metadata
- Authors
- Hong, J., Yang, L., Zhang, D., & Shi, J.
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2016-06-01
- Volume
- 17
- Issue
- 6
- Pages
- 767
- ISSN
- 1422-0067 (ISSN-L)
- OpenAlex
- W2416334815
- Cited by
- 373
- References
- 110
- FWCI
- 12.34
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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