Impact of genetics and environment on the metabolite composition of maize grain

Kirsten Skogerson, George G. Harrigan, Tracey L. Reynolds, Steven C. Halls, Martin Ruebelt, Alberto Iandolino, Anand Pandravada, Kevin C. Glenn, Oliver Fiehn

Research output: Contribution to journalArticle

59 Citations (Scopus)

Abstract

This study sought to assess genetic and environmental impacts on the metabolite composition of maize grain. Gas chromatography coupled to time-of-flight mass spectrometry (GC-TOF-MS) measured 119 Identified metabolites Including free amino acids, free fatty acids, sugars, organic acids, and other small molecules in a range of hybrids derived from 48 Inbred lines crossed against two different tester lines (from the C103 and lodent heterotic groups) and grown at three locations in Iowa. It was reasoned that expanded metabolite coverage would contribute to a comprehensive evaluation of the grain metabolome, its degree of variability, and, in principle, its relationship to other compositional and agronomic features. The metabolic profiling results established that the small molecule metabolite pool is highly dependent on genotypic variation and that levels of certain metabolite classes may have an inverse genotypic relationship to each other. Different metabolic phenotypes were clearly associated with the two distinct tester populations. Overall, grain from the C103 lines contained higher levels of free fatty acids and organic acids, whereas grain from the lodent lines were associated with higher levels of amino acids and carbohydrates. In addition, the fold-range of genotype mean values [composed of six samples each (two tester crosses per inbred x three field sites)] for identified metabolites ranged from 1.5- to 93-fold. Interestingly, some grain metabolites showed a non-normal distribution over the entire corn population, which could, at least In part, be attributed to large differences in metabolite values within specific inbred crosses relative to other Inbred sets. This study suggests a potential role for metabolic profiling in assisting the process of selecting elite germplasm in biotechnology development, or markerassisted breeding.

Original languageEnglish (US)
Pages (from-to)3600-3610
Number of pages11
JournalJournal of Agricultural and Food Chemistry
Volume58
Issue number6
DOIs
StatePublished - Mar 24 2010

Fingerprint

Metabolites
Nonesterified Fatty Acids
Zea mays
metabolites
Amino Acids
Sugar Acids
corn
Metabolome
Biotechnology
Chemical analysis
Gas Chromatography
Population
Breeding
Mass Spectrometry
Genotype
Carbohydrates
Phenotype
Acids
Organic acids
metabolomics

Keywords

  • Maize
  • Metaboiomics
  • Metabolic profiling
  • Natural variation
  • Zea mays

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Chemistry(all)

Cite this

Skogerson, K., Harrigan, G. G., Reynolds, T. L., Halls, S. C., Ruebelt, M., Iandolino, A., ... Fiehn, O. (2010). Impact of genetics and environment on the metabolite composition of maize grain. Journal of Agricultural and Food Chemistry, 58(6), 3600-3610. https://doi.org/10.1021/jf903705y

Impact of genetics and environment on the metabolite composition of maize grain. / Skogerson, Kirsten; Harrigan, George G.; Reynolds, Tracey L.; Halls, Steven C.; Ruebelt, Martin; Iandolino, Alberto; Pandravada, Anand; Glenn, Kevin C.; Fiehn, Oliver.

In: Journal of Agricultural and Food Chemistry, Vol. 58, No. 6, 24.03.2010, p. 3600-3610.

Research output: Contribution to journalArticle

Skogerson, K, Harrigan, GG, Reynolds, TL, Halls, SC, Ruebelt, M, Iandolino, A, Pandravada, A, Glenn, KC & Fiehn, O 2010, 'Impact of genetics and environment on the metabolite composition of maize grain', Journal of Agricultural and Food Chemistry, vol. 58, no. 6, pp. 3600-3610. https://doi.org/10.1021/jf903705y
Skogerson K, Harrigan GG, Reynolds TL, Halls SC, Ruebelt M, Iandolino A et al. Impact of genetics and environment on the metabolite composition of maize grain. Journal of Agricultural and Food Chemistry. 2010 Mar 24;58(6):3600-3610. https://doi.org/10.1021/jf903705y
Skogerson, Kirsten ; Harrigan, George G. ; Reynolds, Tracey L. ; Halls, Steven C. ; Ruebelt, Martin ; Iandolino, Alberto ; Pandravada, Anand ; Glenn, Kevin C. ; Fiehn, Oliver. / Impact of genetics and environment on the metabolite composition of maize grain. In: Journal of Agricultural and Food Chemistry. 2010 ; Vol. 58, No. 6. pp. 3600-3610.
@article{7e2480a9d31d4a89878f28d8b649c0f8,
title = "Impact of genetics and environment on the metabolite composition of maize grain",
abstract = "This study sought to assess genetic and environmental impacts on the metabolite composition of maize grain. Gas chromatography coupled to time-of-flight mass spectrometry (GC-TOF-MS) measured 119 Identified metabolites Including free amino acids, free fatty acids, sugars, organic acids, and other small molecules in a range of hybrids derived from 48 Inbred lines crossed against two different tester lines (from the C103 and lodent heterotic groups) and grown at three locations in Iowa. It was reasoned that expanded metabolite coverage would contribute to a comprehensive evaluation of the grain metabolome, its degree of variability, and, in principle, its relationship to other compositional and agronomic features. The metabolic profiling results established that the small molecule metabolite pool is highly dependent on genotypic variation and that levels of certain metabolite classes may have an inverse genotypic relationship to each other. Different metabolic phenotypes were clearly associated with the two distinct tester populations. Overall, grain from the C103 lines contained higher levels of free fatty acids and organic acids, whereas grain from the lodent lines were associated with higher levels of amino acids and carbohydrates. In addition, the fold-range of genotype mean values [composed of six samples each (two tester crosses per inbred x three field sites)] for identified metabolites ranged from 1.5- to 93-fold. Interestingly, some grain metabolites showed a non-normal distribution over the entire corn population, which could, at least In part, be attributed to large differences in metabolite values within specific inbred crosses relative to other Inbred sets. This study suggests a potential role for metabolic profiling in assisting the process of selecting elite germplasm in biotechnology development, or markerassisted breeding.",
keywords = "Maize, Metaboiomics, Metabolic profiling, Natural variation, Zea mays",
author = "Kirsten Skogerson and Harrigan, {George G.} and Reynolds, {Tracey L.} and Halls, {Steven C.} and Martin Ruebelt and Alberto Iandolino and Anand Pandravada and Glenn, {Kevin C.} and Oliver Fiehn",
year = "2010",
month = "3",
day = "24",
doi = "10.1021/jf903705y",
language = "English (US)",
volume = "58",
pages = "3600--3610",
journal = "Journal of Agricultural and Food Chemistry",
issn = "0021-8561",
publisher = "American Chemical Society",
number = "6",

}

TY - JOUR

T1 - Impact of genetics and environment on the metabolite composition of maize grain

AU - Skogerson, Kirsten

AU - Harrigan, George G.

AU - Reynolds, Tracey L.

AU - Halls, Steven C.

AU - Ruebelt, Martin

AU - Iandolino, Alberto

AU - Pandravada, Anand

AU - Glenn, Kevin C.

AU - Fiehn, Oliver

PY - 2010/3/24

Y1 - 2010/3/24

N2 - This study sought to assess genetic and environmental impacts on the metabolite composition of maize grain. Gas chromatography coupled to time-of-flight mass spectrometry (GC-TOF-MS) measured 119 Identified metabolites Including free amino acids, free fatty acids, sugars, organic acids, and other small molecules in a range of hybrids derived from 48 Inbred lines crossed against two different tester lines (from the C103 and lodent heterotic groups) and grown at three locations in Iowa. It was reasoned that expanded metabolite coverage would contribute to a comprehensive evaluation of the grain metabolome, its degree of variability, and, in principle, its relationship to other compositional and agronomic features. The metabolic profiling results established that the small molecule metabolite pool is highly dependent on genotypic variation and that levels of certain metabolite classes may have an inverse genotypic relationship to each other. Different metabolic phenotypes were clearly associated with the two distinct tester populations. Overall, grain from the C103 lines contained higher levels of free fatty acids and organic acids, whereas grain from the lodent lines were associated with higher levels of amino acids and carbohydrates. In addition, the fold-range of genotype mean values [composed of six samples each (two tester crosses per inbred x three field sites)] for identified metabolites ranged from 1.5- to 93-fold. Interestingly, some grain metabolites showed a non-normal distribution over the entire corn population, which could, at least In part, be attributed to large differences in metabolite values within specific inbred crosses relative to other Inbred sets. This study suggests a potential role for metabolic profiling in assisting the process of selecting elite germplasm in biotechnology development, or markerassisted breeding.

AB - This study sought to assess genetic and environmental impacts on the metabolite composition of maize grain. Gas chromatography coupled to time-of-flight mass spectrometry (GC-TOF-MS) measured 119 Identified metabolites Including free amino acids, free fatty acids, sugars, organic acids, and other small molecules in a range of hybrids derived from 48 Inbred lines crossed against two different tester lines (from the C103 and lodent heterotic groups) and grown at three locations in Iowa. It was reasoned that expanded metabolite coverage would contribute to a comprehensive evaluation of the grain metabolome, its degree of variability, and, in principle, its relationship to other compositional and agronomic features. The metabolic profiling results established that the small molecule metabolite pool is highly dependent on genotypic variation and that levels of certain metabolite classes may have an inverse genotypic relationship to each other. Different metabolic phenotypes were clearly associated with the two distinct tester populations. Overall, grain from the C103 lines contained higher levels of free fatty acids and organic acids, whereas grain from the lodent lines were associated with higher levels of amino acids and carbohydrates. In addition, the fold-range of genotype mean values [composed of six samples each (two tester crosses per inbred x three field sites)] for identified metabolites ranged from 1.5- to 93-fold. Interestingly, some grain metabolites showed a non-normal distribution over the entire corn population, which could, at least In part, be attributed to large differences in metabolite values within specific inbred crosses relative to other Inbred sets. This study suggests a potential role for metabolic profiling in assisting the process of selecting elite germplasm in biotechnology development, or markerassisted breeding.

KW - Maize

KW - Metaboiomics

KW - Metabolic profiling

KW - Natural variation

KW - Zea mays

UR - http://www.scopus.com/inward/record.url?scp=77949860362&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77949860362&partnerID=8YFLogxK

U2 - 10.1021/jf903705y

DO - 10.1021/jf903705y

M3 - Article

C2 - 20158212

AN - SCOPUS:77949860362

VL - 58

SP - 3600

EP - 3610

JO - Journal of Agricultural and Food Chemistry

JF - Journal of Agricultural and Food Chemistry

SN - 0021-8561

IS - 6

ER -