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

Hamid Baniasadi, Chris Vlahakis, Jan Hazebroek, Cathy Zhong, Vincent Asiago

Research output: Contribution to journalArticlepeer-review

29 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)1412-1422
Number of pages11
JournalJournal of agricultural and food chemistry
Issue number6
StatePublished - Feb 12 2014


  • GC/MS
  • LC/MS
  • chromatography
  • corn
  • maize
  • metabolite profiling
  • metabolomics
  • multivariate analysis
  • substantial equivalence


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