ArticleFrontiers in plant science2015
Metabolic fingerprinting of Arabidopsis thaliana accessions.
Article in Frontiers in plant science, 2015. 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.
- Technical Note: mzML and imzML Libraries for Processing Mass Spectrometry Data with the High-Performance Programming Language Julia.Analytical chemistry · 2024Article
- QT-GWAS: A novel method for unveiling biosynthetic loci affecting qualitative metabolic traits.Molecular plant · 2023Article
- Article
- Comparison of Metabolic Profiling ofPhenomics (Cham, Switzerland) · 2021Article
- Cross-Species Annotation of Expressed Genes and Detection of Different Functional Gene Modules Between 10 Cold- and 10 Hot-Propertied Chinese Herbal Medicines.Frontiers in genetics · 2020Article
- Association analysis of phenotypic and metabolomic changes in Arabidopsis accessions and their FPlant biotechnology (Tokyo, Japan) · 2019Article
- The Role of Programmed Cell Death RegulatorFrontiers in plant science · 2018Article
- Genomic history of the origin and domestication of common bean unveils its closest sister species.Genome biology · 2017Article
- Popper and the Omics.Frontiers in plant science · 2016Article
- Article
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5 authors.
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Abstract
In the post-genomic era much effort has been put on the discovery of gene function using functional genomics. Despite the advances achieved by these technologies in the understanding of gene function at the genomic and proteomic level, there is still a big genotype-phenotype gap. Metabolic profiling has been used to analyze organisms that have already been characterized genetically. However, there is a small number of studies comparing the metabolic profile of different tissues of distinct accessions. Here, we report the detection of over 14,000 and 17,000 features in inflorescences and leaves, respectively, in two widely used Arabidopsis thaliana accessions. A predictive Random Forest Model was developed, which was able to reliably classify tissue type and accession of samples based on LC-MS profile. Thereby we demonstrate that the morphological differences among A. thaliana accessions are reflected also as distinct metabolic phenotypes within leaves and inflorescences.
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