Literature DB >> 24479624

Effect of environment and genotype on commercial maize hybrids using LC/MS-based metabolomics.

Hamid Baniasadi1, Chris Vlahakis, Jan Hazebroek, Cathy Zhong, Vincent Asiago.   

Abstract

We recently applied gas chromatography coupled to time-of-flight mass spectrometry (GC/TOF-MS) and multivariate statistical analysis to measure biological variation of many metabolites due to environment and genotype in forage and grain samples collected from 50 genetically diverse nongenetically modified (non-GM) DuPont Pioneer commercial maize hybrids grown at six North American locations. In the present study, the metabolome coverage was extended using a core subset of these grain and forage samples employing ultra high pressure liquid chromatography (uHPLC) mass spectrometry (LC/MS). A total of 286 and 857 metabolites were detected in grain and forage samples, respectively, using LC/MS. Multivariate statistical analysis was utilized to compare and correlate the metabolite profiles. Environment had a greater effect on the metabolome than genetic background. The results of this study support and extend previously published insights into the environmental and genetic associated perturbations to the metabolome that are not associated with transgenic modification.

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Year:  2014        PMID: 24479624     DOI: 10.1021/jf404702g

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


  12 in total

1.  LC-MS/MS-Based Metabolome Analysis of Biochemical Pathways Altered by Food Limitation in Larvae of Ivory Shell, Babylonia areolata.

Authors:  Jingqiang Fu; Minghui Shen; Yawei Shen; Wengang Lü; Miaoqin Huang; Xuan Luo; Jinjin Yu; Caihuan Ke; Weiwei You
Journal:  Mar Biotechnol (NY)       Date:  2018-04-20       Impact factor: 3.619

2.  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 3.  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 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

5.  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

6.  Simultaneous untargeted and targeted metabolomics profiling of underivatized primary metabolites in sulfur-deficient barley by ultra-high performance liquid chromatography-quadrupole/time-of-flight mass spectrometry.

Authors:  Hikmat Ghosson; Adrián Schwarzenberg; Frank Jamois; Jean-Claude Yvin
Journal:  Plant Methods       Date:  2018-07-24       Impact factor: 4.993

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.  A Comprehensive Targeted Metabolomics Assay for Crop Plant Sample Analysis.

Authors:  Jiamin Zheng; Mathew Johnson; Rupasri Mandal; David S Wishart
Journal:  Metabolites       Date:  2021-05-11

9.  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

10.  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

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