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Abstract:

Background: Until recently, plant metabolomics have provided a deep understanding on the metabolic regulation in individual plants as experimental units. The application of these techniques to agricultural systems subjected to more complex interactions is a step towards the implementation of translational metabolomics in crop breeding. Aim of Review: We present here a review paper discussing advances in the knowledge reached in the last years derived from the application of metabolomic techniques that evolved from biomarker discovery to improve crop yield and quality. Key Scientific Concepts of Review: Translational metabolomics applied to crop breeding programs. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.

Registro:

Documento: Artículo
Título:Crop metabolomics: from diagnostics to assisted breeding
Autor:Alseekh, S.; Bermudez, L.; de Haro, L.A.; Fernie, A.R.; Carrari, F.
Filiación:Max Planck Institute of Molecular Plant Physiology, Wissenschaftspark Golm, Am Mühlenberg 1, Potsdam-Golm, 14476, Germany
Center of Plant System Biology and Biotechnology, Plovdiv, 4000, Bulgaria
Instituto de Biotecnología, Instituto Nacional de Tecnología Agropecuaria (IB-INTA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), PO Box 25, Castelar, B1686WAA, Argentina
Facultad de Agronomía, Universidad de Buenos Aires, Buenos Aires, Argentina
Departamento de Botânica, Instituto de Biociências, Universidade de São Paulo, Rua do Matão, 277, São Paulo, 05508-090, Brazil
Instituto de Fisiología, Biología Molecular y Neurociencias (IFIBYNE-UBA-CONICET), Ciudad Universitaria, Buenos Aires, C1428EHA, Argentina
Palabras clave:Crop plant breeding; Mass spectrometry; Metabolic traits; Nuclear magnetic resonance spectroscopy; Translational metabolomics; carbohydrate; carbon; carotenoid; cholera toxin; ELAV like protein 2; flavonoid; glucose; nitrogen; starch; sterol; transcription factor; abiotic stress; biomass; crop; endoplasmic reticulum stress; genetic variability; genotype; maize; mass spectrometry; metabolite; metabolomics; nonhuman; nuclear magnetic resonance spectroscopy; phenotype; plant metabolism; plant yield; Review; rice; sorghum; stress; tomato
Año:2018
Volumen:14
Número:11
DOI: http://dx.doi.org/10.1007/s11306-018-1446-5
Título revista:Metabolomics
Título revista abreviado:Metabolomics
ISSN:15733882
CAS:carbon, 7440-44-0; glucose, 50-99-7, 84778-64-3; nitrogen, 7727-37-9; starch, 9005-25-8, 9005-84-9
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15733882_v14_n11_p_Alseekh

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Citas:

---------- APA ----------
Alseekh, S., Bermudez, L., de Haro, L.A., Fernie, A.R. & Carrari, F. (2018) . Crop metabolomics: from diagnostics to assisted breeding. Metabolomics, 14(11).
http://dx.doi.org/10.1007/s11306-018-1446-5
---------- CHICAGO ----------
Alseekh, S., Bermudez, L., de Haro, L.A., Fernie, A.R., Carrari, F. "Crop metabolomics: from diagnostics to assisted breeding" . Metabolomics 14, no. 11 (2018).
http://dx.doi.org/10.1007/s11306-018-1446-5
---------- MLA ----------
Alseekh, S., Bermudez, L., de Haro, L.A., Fernie, A.R., Carrari, F. "Crop metabolomics: from diagnostics to assisted breeding" . Metabolomics, vol. 14, no. 11, 2018.
http://dx.doi.org/10.1007/s11306-018-1446-5
---------- VANCOUVER ----------
Alseekh, S., Bermudez, L., de Haro, L.A., Fernie, A.R., Carrari, F. Crop metabolomics: from diagnostics to assisted breeding. Metabolomics. 2018;14(11).
http://dx.doi.org/10.1007/s11306-018-1446-5