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Data from: Assessing metabolomic and chemical diversity of a soybean lineage representing 35 years of breeding

Information on crop genotype- and phenotype-metabolite associations can be of value to trait development as well as to food security and safety. The unique study presented here assessed seed metabolomic and ionomic diversity in a soybean (Glycine max) lineage representing ~35 years of breeding (launch years 1972–2008) and increasing yield potential. Selected varieties included six conventional and three genetically modified (GM) glyphosate-tolerant lines. A metabolomics approach utilizing capillary electrophoresis (CE)-time-of-flight-mass spectrometry (TOF-MS), gas chromatography (GC)-TOF-MS and liquid chromatography (LC)-quadrupole (q)-TOFMS resulted in measurement of a total of 732 annotated peaks. Ionomics through inductively-coupled plasma (ICP)-MS profiled twenty mineral elements. Orthogonal partial least squares-discriminant analysis (OPLS-DA) of the seed data successfully differentiated newer higher-yielding soybean from earlier lower-yielding accessions at both field sites. This result reflected genetic fingerprinting data that demonstrated a similar distinction between the newer and older soybean. Correlation analysis also revealed associations between yield data and specific metabolites. There were no clear metabolic differences between the conventional and GM lines. Overall, observations of metabolic and genetic differences between older and newer soybean varieties provided novel and significant information on the impact of varietal development on biochemical variability. Proposed applications of omics in food and feed safety assessments will need to consider that GM is not a major source of metabolite variability and that trait development in crops will, of necessity, be associated with biochemical variation.

Dataset Info

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FieldValue
Authors
Kusano, Miyako
(ORCID)
Baxter, Ivan
(ORCID)
Fukushima, Atsushi
Oikawa, Akira
Okazaki, Yozo
Nakabayashi, Ryo
(ORCID)
Bouvrette, Denise J.
Achard, Frederic
Jakubowski, Andrew R.
Ballam, Joan M.
Phillips, Jonathan R.
Culler, Angela H.
Saito, Kazuki
Harrigan, George G.
(ORCID)
Spatial / Geographical Coverage Area
POLYGON ((-90.639984 42.510065, -88.788778 42.493634, -87.802929 42.493634, -87.83579 42.301941, -87.682436 42.077386, -87.523605 41.710431, -87.529082 39.34987, -87.63862 39.169131, -87.512651 38.95553, -87.49622 38.780268, -87.62219 38.637868, -87.655051 38.506421, -87.83579 38.292821, -87.950806 38.27639, -87.923421 38.15042, -88.000098 38.101128, -88.060345 37.865619, -88.027483 37.799896, -88.15893 37.657496, -88.065822 37.482234, -88.476592 37.389126, -88.514931 37.285064, -88.421823 37.153617, -88.547792 37.071463, -88.914747 37.224817, -89.029763 37.213863, -89.183118 37.038601, -89.133825 36.983832, -89.292656 36.994786, -89.517211 37.279587, -89.435057 37.34531, -89.517211 37.537003, -89.517211 37.690357, -89.84035 37.903958, -89.949889 37.88205, -90.059428 38.013497, -90.355183 38.216144, -90.349706 38.374975, -90.179921 38.632391, -90.207305 38.725499, -90.10872 38.845992, -90.251121 38.917192, -90.470199 38.961007, -90.585214 38.867899, -90.661891 38.928146, -90.727615 39.256762, -91.061708 39.470363, -91.368417 39.727779, -91.494386 40.034488, -91.50534 40.237135, -91.417709 40.379535, -91.401278 40.560274, -91.121954 40.669813, -91.09457 40.823167, -90.963123 40.921752, -90.946692 41.097014, -91.111001 41.239415, -91.045277 41.414677, -90.656414 41.463969, -90.344229 41.589939, -90.311367 41.743293, -90.179921 41.809016, -90.141582 42.000709, -90.168967 42.126679, -90.393521 42.225264, -90.420906 42.329326, -90.639984 42.510065))
Spatial / Geographical Coverage Location
Illinois - Jerseyville [ILJE] and Jacksonville [ILJA]
Temporal Coverage
1972/2008
Intended Use
To assess soybean seed metabolomic and ionomic diversity in a lineage representing ~35 years of breeding (launch years 1972–2008) and increasing yield potential.
Publisher
Metabolomics
Contact Name
Baxter, Ivan
Contact Email
Public Access Level
Public
Primary Article

Kusano, M., Baxter, I., Fukushima, A. et al. (2015). Assessing metabolomic and chemical diversity of a soybean lineage representing 35 years of breeding. Metabolomics 11: 261.

AgID: 10113/61190
License
Dataset DOI (digital object identifier)
10.1007/s11306-014-0702-6
Program Code
005:037 - Department of Agriculture - Research and Education
Bureau Code
005:18 - Agricultural Research Service
Modified Date
2018-09-06
Release Date
2018-09-06
Ag Data Commons Keywords: 
  • Genomics & Genetics
  • Metabolomes
  • Genomics & Genetics
  • Plants & Crops
  • Traits
State or Territory: 
ISO Topic(s):