Strawberry volatile organic compounds metabolomic data and QTL study

This dataset contains the supplementary materials of the publication "Multivariate QTL approach reveals a major regulator of terpenoid production and other volatiles in strawberry" of the same authors. In this study we extracted volatile organic compounds from several strawberry samples and analysed their identity and abundance. We used this volatile data to perform an extensive multivariate QTL study, the results of which can be found in this dataset.

All analysis, results and figures can be reproduced using the folder included in the supplementary data 1. If you want to reproduce part or all of our analysis, only download sup data 1. 

If you only need one of our results or data table you can download them individually:

• Sup data 2: abundances of volatile organic compounds from a biparental and diverse panel (GWAS) population.
• Sup data 3 and 4: p-value tables for all metabolites as well as multivariate traits (see publication for more information).
• Sup table 1: Summary of metabolite abundances and heritabilities across both populations.
• Sup tables 2 and 3: significant QTL signals for each trait individually and summarised per QTL locus.
• Sup table 4: previously reported VOC QTLs in strawberry, with positions imputed in the Royal Royce genome.
• Sup table 5: metadata about all the identified compounds on this and previous studies.
• Sup table 6: SNP array positions imputed in the "Royal Royce" genome assembly.
• Sup table 7: Number of markers per chromosome in this analysis.

Update 2025

We updated the underlying code and datasets to reflect several revisions made to this work. Most notably, the QTL results have been reworked. They now do not include Blink or FarmCPU results (only mixed model results, obtained through statgenGWAS). Additionally, heritability estimations, QQ-plots and other figures have been added to the reproducible results code.