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Metabolites


Title:gcProfileMakeR: An R Package for Automatic Classification of Constitutive and Non-Constitutive Metabolites
Author(s):Perez-Sanz F; Ruiz-Hernandez V; Terry MI; Arce-Gallego S; Weiss J; Navarro PJ; Egea-Cortines M;
Address:"Instituto Murciano de Investigaciones Biomedicas El Palmar, 30120 Murcia, Spain. Department of Biosciences, University Salzburg, 5020 Salzburg, Austria. Genetica Molecular, Instituto de Biotecnologia Vegetal, Edificio I+D+I, Plaza del Hospital s/n, Universidad Politecnica de Cartagena, 30202 Cartagena, Spain. Vall d'Hebron Institute of Oncology, 08035 Barcelona, Spain. DSIE Cuartel de Antiguones, Plaza del Hospital s/n, Universidad Politecnica de Cartagena, 30202 Cartagena, Spain"
Journal Title:Metabolites
Year:2021
Volume:20210331
Issue:4
Page Number: -
DOI: 10.3390/metabo11040211
ISSN/ISBN:2218-1989 (Print) 2218-1989 (Electronic) 2218-1989 (Linking)
Abstract:"Metabolomes comprise constitutive and non-constitutive metabolites produced due to physiological, genetic or environmental effects. However, finding constitutive metabolites and non-constitutive metabolites in large datasets is technically challenging. We developed gcProfileMakeR, an R package using standard Excel output files from an Agilent Chemstation GC-MS for automatic data analysis using CAS numbers. gcProfileMakeR has two filters for data preprocessing removing contaminants and low-quality peaks. The first function NormalizeWithinFiles, samples assigning retention times to CAS. The second function NormalizeBetweenFiles, reaches a consensus between files where compounds in close retention times are grouped together. The third function getGroups, establishes what is considered as Constitutive Profile, Non-constitutive by Frequency i.e., not present in all samples and Non-constitutive by Quality. Results can be plotted with the plotGroup function. We used it to analyse floral scent emissions in four snapdragon genotypes. These included a wild type, Deficiens nicotianoides and compacta affecting floral identity and RNAi:AmLHY targeting a circadian clock gene. We identified differences in scent constitutive and non-constitutive profiles as well as in timing of emission. gcProfileMakeR is a very useful tool to define constitutive and non-constitutive scent profiles. It also allows to analyse genotypes and circadian datasets to identify differing metabolites"
Keywords:R package automatic classification circadian clock constitutive metabolome floral organ identity gcProfileMakeR machine learning non-constitutive metabolome;
Notes:"PubMed-not-MEDLINEPerez-Sanz, Fernando Ruiz-Hernandez, Victoria Terry, Marta I Arce-Gallego, Sara Weiss, Julia Navarro, Pedro J Egea-Cortines, Marcos eng BFU2017-88300-C2-1R/Ministerio de Ciencia, Innovacion y Universidades/ BFU2017-88300-C2-2R/Ministerio de Ciencia, Innovacion y Universidades/ FPU13/03606/Ministerio de Educacion, Cultura y Deporte/ Switzerland 2021/04/04 Metabolites. 2021 Mar 31; 11(4):211. doi: 10.3390/metabo11040211"

 
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Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
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