ArticleFrontiers in plant science2018
NMR Metabolomics Defining Genetic Variation in Pea Seed Metabolites.
Article in Frontiers in plant science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 28 citations in OpenAlex.
- Harnessing NMR technology for enhancing field crop improvement: applications, challenges, and future perspectives.Metabolomics : Official journal of the Metabolomic Society · 2025Review
- NMR Metabolite Profiling for the Characterization of Vessalico Garlic Ecotype and Bioactivity againstPlants (Basel, Switzerland) · 2024Article
- Metabolite profiling and protein quantification to a large library of 96 horsegram (Macrotyloma uniflorum) germplasm.Scientific reports · 2022Article
- An Untargeted Metabolomics Approach for Correlating Pulse Crop Seed Coat Polyphenol Profiles with Antioxidant Capacity and Iron Chelation Ability.Molecules (Basel, Switzerland) · 2021Article
- Omics resources and omics-enabled approaches for achieving high productivity and improved quality in pea (Pisum sativum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Review
- Perspectives on the genetic improvement of health- and nutrition-related traits in pea.Plant physiology and biochemistry : PPB · 2021Review
- Scientific Prospects for Cannabis-Microbiome Research to Ensure Quality and Safety of Products.Microorganisms · 2020Review
- Insight Into the Prospects for the Improvement of Seed Starch in Legume-A Review.Frontiers in plant science · 2019Review
- Article
- Prediction of Germination in Aged Seeds and Identification of New Seed Viability Biomarkers Using NMR Metabolomics.Physiologia plantarumArticle
Corrections and comments
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Authors and funding
11 authors at 5 institutions in 3 countries.
Funding
Abstract
Nuclear magnetic resonance (NMR) spectroscopy profiling was used to provide an unbiased assessment of changes to the metabolite composition of seeds and to define genetic variation for a range of pea seed metabolites. Mature seeds from recombinant inbred lines, derived from three mapping populations for which there is substantial genetic marker linkage information, were grown in two environments/years and analyzed by non-targeted NMR. Adaptive binning of the NMR metabolite data, followed by analysis of quantitative variation among lines for individual bins, identified the main genomic regions determining this metabolic variability and the variability for selected compounds was investigated. Analysis by
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.