Abstract
Metabolomics provide a qualitative and quantitative overview of the metabolites present in organisms, organs, tissues or specific cells. Different metabolomics approaches have been used for phenotyping populations and, together with mapping methods, allowed the identification of DNA sections associated with metabolite levels, defined as metabolic quantitative trait loci (mQTL). Many studies have provided a large number of mQTL and often candidate genes related to distinct metabolic traits. Since plant growth and development as well as responses to environmental changes lead to metabolic adjustments, the understanding of the genetic bases for metabolite changes is fundamental for plant physiology studies being also highly useful for plant breeding programs. Here, we revisited the progress on metabolite analysis currently used to characterize plant metabolite profile. We further describe few examples of the integration between metabolomic approaches and mapping methods allowing mQTL identification and its importance for plant physiology.
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References
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Acknowledgements
This work was made possible through financial support from the Max Planck Society (to AN-N and WLA), the National Council for Scientific and Technological Development (CNPq-Brazil), and the FAPEMIG (Foundation for Research Assistance of the Minas Gerais State, Brazil, Grant APQ- 01078-15, APQ-01357-14, and 1541 RED-00053-16). We thank the scholarships granted by CNPq-Brazil (Grant 150059/2018-3 to RPO-G and 501090/2015-0 to LAS). Research fellowships granted by CNPq-Brazil to AN-N and WLA are also gratefully acknowledged.
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Omena-Garcia, R.P., de Ávila Silva, L., Vital, C.E. et al. Identification of metabolite traits from the current metabolomic approaches. Theor. Exp. Plant Physiol. 31, 1–19 (2019). https://doi.org/10.1007/s40626-019-00147-9
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DOI: https://doi.org/10.1007/s40626-019-00147-9