Literature DB >> 26923484

Metabolomic Assessment of Key Maize Resources: GC-MS and NMR Profiling of Grain from B73 Hybrids of the Nested Association Mapping (NAM) Founders and of Geographically Diverse Landraces.

Tyamagondlu V Venkatesh1, Alexander W Chassy2, Oliver Fiehn2,3, Sherry Flint-Garcia4,5, Qin Zeng1, Kirsten Skogerson1, George G Harrigan1.   

Abstract

The present study expands metabolomic assessments of maize beyond commercial lines to include two sets of hybrids used extensively in the scientific community. One set included hybrids derived from the nested association mapping (NAM) founder lines, a collection of 25 inbreds selected on the basis of genetic diversity and used to investigate the genetic basis of complex plant traits. A second set included 24 hybrids derived from a collection of landraces representative of native diversity from North and South America that may serve as a source of new alleles for improving modern maize hybrids. Metabolomic analysis of grain harvested from these hybrids utilized gas chromatography-time-of-flight mass spectrometry (GC-TOF-MS) and (1)H nuclear magnetic resonance spectroscopy ((1)H NMR) techniques. Results highlighted extensive metabolomic variation in grain from both hybrid sets, but also demonstrated that, within each hybrid set, subpopulations could be differentiated in a pattern consistent with the known genetic and compositional variation of these lines. Correlation analysis did not indicate a strong association of the metabolomic data with grain nutrient composition, although some metabolites did show moderately strong correlations with agronomic features such as plant and ear height. Overall, this study provides insights into the extensive metabolomic diversity associated with conventional maize germplasm.

Entities:  

Keywords:  GC-TOF-MS; NMR; landraces; maize hybrids; metabolomics; nested association mapping (NAM) founders

Mesh:

Year:  2016        PMID: 26923484     DOI: 10.1021/acs.jafc.5b04901

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  10 in total

Review 1.  Crop metabolomics: from diagnostics to assisted breeding.

Authors:  Saleh Alseekh; Luisa Bermudez; Luis Alejandro de Haro; Alisdair R Fernie; Fernando Carrari
Journal:  Metabolomics       Date:  2018-11-03       Impact factor: 4.290

Review 2.  Recent Advances in NMR-Based Metabolomics.

Authors:  G A Nagana Gowda; Daniel Raftery
Journal:  Anal Chem       Date:  2016-12-02       Impact factor: 6.986

3.  Characterization of GMO or glyphosate effects on the composition of maize grain and maize-based diet for rat feeding.

Authors:  Stéphane Bernillon; Mickaël Maucourt; Catherine Deborde; Sylvain Chéreau; Daniel Jacob; Nathalie Priymenko; Bérengère Laporte; Xavier Coumoul; Bernard Salles; Peter M Rogowsky; Florence Richard-Forget; Annick Moing
Journal:  Metabolomics       Date:  2018-02-17       Impact factor: 4.290

Review 4.  Fortune telling: metabolic markers of plant performance.

Authors:  Olivier Fernandez; Maria Urrutia; Stéphane Bernillon; Catherine Giauffret; François Tardieu; Jacques Le Gouis; Nicolas Langlade; Alain Charcosset; Annick Moing; Yves Gibon
Journal:  Metabolomics       Date:  2016-09-15       Impact factor: 4.290

Review 5.  Metabolomics for Plant Improvement: Status and Prospects.

Authors:  Rakesh Kumar; Abhishek Bohra; Arun K Pandey; Manish K Pandey; Anirudh Kumar
Journal:  Front Plant Sci       Date:  2017-08-07       Impact factor: 5.753

6.  Metabotyping of 30 maize hybrids under early-sowing conditions reveals potential marker-metabolites for breeding.

Authors:  Nadia Lamari; Vanessa Zhendre; Maria Urrutia; Stéphane Bernillon; Mickaël Maucourt; Catherine Deborde; Duyen Prodhomme; Daniel Jacob; Patricia Ballias; Dominique Rolin; Hélène Sellier; Dominique Rabier; Yves Gibon; Catherine Giauffret; Annick Moing
Journal:  Metabolomics       Date:  2018-09-26       Impact factor: 4.290

Review 7.  Evaluation of the use of untargeted metabolomics in the safety assessment of genetically modified crops.

Authors:  Mohamed Bedair; Kevin C Glenn
Journal:  Metabolomics       Date:  2020-10-09       Impact factor: 4.290

8.  Screening chemical modulators of benzoic acid derivatives to improve lipid accumulation in Schizochytrium limacinum SR21 with metabolomics analysis.

Authors:  Zhipeng Li; Xueping Ling; Hao Zhou; Tong Meng; Jinjin Zeng; Wei Hang; Yanyan Shi; Ning He
Journal:  Biotechnol Biofuels       Date:  2019-09-04       Impact factor: 6.040

9.  Genetic Variation of the Serine Acetyltransferase Gene Family for Sulfur Assimilation in Maize.

Authors:  Zhixuan Zhao; Shuai Li; Chen Ji; Yong Zhou; Changsheng Li; Wenqin Wang
Journal:  Genes (Basel)       Date:  2021-03-19       Impact factor: 4.096

Review 10.  The utility of metabolomics as a tool to inform maize biology.

Authors:  David B Medeiros; Yariv Brotman; Alisdair R Fernie
Journal:  Plant Commun       Date:  2021-04-21
  10 in total

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