Metabolomics-assisted breeding: a viable option for crop improvement?

Fernie, Alisdair R.; Schauer, Nicolas

doi:10.1016/j.tig.2008.10.010

Cited by 451 publications

(315 citation statements)

References 97 publications

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“…GC-TOFMS is a benchmark approach for metabolomics data acquisition [11] that provides excellent sensitivity and sufficiently high data density to permit deconvolution of overlapping metabolite peaks. In the present investigation we used a scanning mass spectrometer and were not equipped to employ any spectral de-convolution, so we chose to utilize a system with higher chromatographic resolution.…”

Section: Resultsmentioning

confidence: 99%

Varietal characterization of hop (Humulus lupulus L.) by GC–MS analysis of hop cone extracts

Shellie

Poynter

et al. 2009

J of Separation Science

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An approach is described for use in the varietal characterization of hop (Humulus lupulus L.) varieties. The study focuses on commercial hop varieties and was timed to coincide with the 2008 commercial hop harvest in Tasmania, Australia. Analysis of hop extracts was performed using GC-MS. A 60 m capillary column was employed to increase efficiency to permit the use of a quadrupole mass spectrometer in place of a time of flight mass spectrometer that is more commonly used for this type of analysis. A set of characterization functions were derived from discriminant analysis which were highly suitable for varietal characterization of the eight commercial varieties included in the study, namely Willamette, Victoria, Pride of Ringwood, Cascade, Southern Hallertau, Millennium, Southern Saaz, and Super Pride.

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Section: Resultsmentioning

confidence: 99%

Varietal characterization of hop (Humulus lupulus L.) by GC–MS analysis of hop cone extracts

Shellie

Poynter

et al. 2009

J of Separation Science

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“…Secondary metabolites are involved in defense reaction during pathogen infections; they play a role as attractants or repellents against herbivores and insects as well as provide protection against the harmful effect of UV radiation. They are also involved in protective functions in response to biotic and abiotic stress conditions (Ahuja et al 2010;Fernie and Schauer 2009;Kliebenstein 2004). …”

Section: Glycine Betainementioning

confidence: 99%

Influence of abiotic stresses on plant proteome and metabolome changes

et al. 2013

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Plant responses to abiotic stresses are very complex phenomena with individual characteristics for various species. Abiotic stresses (e.g. drought, salinity, flooding, cold, heat, UV radiation, heavy metals, etc.) strongly affect plant growth and development. It is estimated that they are the cause of more than 50 % of crop yield losses. Abiotic stresses are known to activate a multigene response resulting in the changes in various proteins and primary and secondary metabolite accumulation. Therefore, proteomic and metabolomic approaches are becoming very important and powerful tools used in studying plants' reaction to various stimuli. Precise analysis of proteome and metabolome is essential for understanding the fundamentals of stress physiology and biochemistry. In this review, we focus on recent reports concerned to the influence of abiotic stresses on changes in the level of different protein groups and metabolite classes. Basic information about physicochemical methods applied to qualitative and quantitative analyses of biopolymers and natural products is also briefly presented.

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“…Metabolomics has an important role to play in characterization of natural diversity in tomato (Schauer, Zamir et al 2004;Fernie et al 2011). As well, it can boost the biochemical understanding of fruit content and be an enhancer for quality breeding (Fernie and Schauer 2009;de Vos, Hall et al 2011).…”

Section: Use Of Molecular Diversity To Dissect Phenotypesmentioning

confidence: 99%