Literature DB >> 23113862

Effects of genetics and environment on the metabolome of commercial maize hybrids: a multisite study.

Vincent M Asiago1, Jan Hazebroek, Teresa Harp, Cathy Zhong.   

Abstract

This study was designed to elucidate the biological variation in expression of many metabolites due to environment, genotype, or both, and to investigate the potential utility of metabolomics to supplement compositional analysis for substantial equivalence assessments of genetically modified (GM) crops. A total of 654 grain and 695 forage samples from 50 genetically diverse non-GM DuPont Pioneer maize hybrids grown at six locations in the U.S. and Canada were analyzed by coupled gas chromatography time-of-flight-mass spectrometry (GC/TOF-MS). A total of 156 and 185 metabolites were measured in grain and forage samples, respectively. Univariate and multivariate statistical analyses were employed extensively to compare and correlate the metabolite profiles. We show that the environment had far more impact on the forage metabolome compared to the grain metabolome, and the environment affected up to 50% of the metabolites compared to less than 2% by the genetic background. The findings from this study demonstrate that the combination of GC/TOF-MS metabolomics and comprehensive multivariate statistical analysis is a powerful approach to identify the sources of natural variation contributed by the environment and genotype.

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Year:  2012        PMID: 23113862     DOI: 10.1021/jf303873a

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


  11 in total

1.  A modified data normalization method for GC-MS-based metabolomics to minimize batch variation.

Authors:  Mingjie Chen; R Shyama Prasad Rao; Yiming Zhang; Cathy Xiaoyan Zhong; Jay J Thelen
Journal:  Springerplus       Date:  2014-08-19

Review 2.  Metabolomics of genetically modified crops.

Authors:  Carolina Simó; Clara Ibáñez; Alberto Valdés; Alejandro Cifuentes; Virginia García-Cañas
Journal:  Int J Mol Sci       Date:  2014-10-20       Impact factor: 5.923

Review 3.  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

4.  Insights into Tissue-specific Specialized Metabolism in Tieguanyin Tea Cultivar by Untargeted Metabolomics.

Authors:  Si Chen; Jun Lin; Huihui Liu; Zhihong Gong; Xiaxia Wang; Meihong Li; Asaph Aharoni; Zhenbiao Yang; Xiaomin Yu
Journal:  Molecules       Date:  2018-07-21       Impact factor: 4.411

Review 5.  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

6.  Plant breeding involving genetic engineering does not result in unacceptable unintended effects in rice relative to conventional cross-breeding.

Authors:  Qingsong Liu; Xiaowei Yang; Vered Tzin; Yufa Peng; Jörg Romeis; Yunhe Li
Journal:  Plant J       Date:  2020-07-19       Impact factor: 6.417

7.  Effect of the environment on the secondary metabolic profile of Tithonia diversifolia: a model for environmental metabolomics of plants.

Authors:  Bruno Leite Sampaio; RuAngelie Edrada-Ebel; Fernando Batista Da Costa
Journal:  Sci Rep       Date:  2016-07-07       Impact factor: 4.379

8.  Evaluation of metabolomics profiles of grain from maize hybrids derived from near-isogenic GM positive and negative segregant inbreds demonstrates that observed differences cannot be attributed unequivocally to the GM trait.

Authors:  George G Harrigan; Tyamagondlu V Venkatesh; Mark Leibman; Jonathan Blankenship; Timothy Perez; Steven Halls; Alexander W Chassy; Oliver Fiehn; Yun Xu; Royston Goodacre
Journal:  Metabolomics       Date:  2016-03-15       Impact factor: 4.290

9.  Multiplex Design of the Metabolic Network for Production of l-Homoserine in Escherichia coli.

Authors:  Peng Liu; Bo Zhang; Zhen-Hao Yao; Zhi-Qiang Liu; Yu-Guo Zheng
Journal:  Appl Environ Microbiol       Date:  2020-10-01       Impact factor: 4.792

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
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