In viewpoly: A Shiny App to Visualize Genetic Maps and QTL Analysis in Polyploid Species

VIEWpoly Citation

Taniguti, C. H., de Siqueira Gesteira, G., Lau, J., da Silva Pereira, G., Zeng, Z.-B., Byrne, D., Riera-Lizarazu, O., & Mollinari, M. (2022). VIEWpoly: a visualization tool to integrate and explore results of polyploid genetic analysis. Journal of Open Source Software, 7(74), 4242. https://doi.org/10.21105/joss.04242

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QTL Analysis Methods

Please cite the appropriate QTL analysis software used:

QTLpoly

da Silva Pereira, G., Gemenet, D. C., Mollinari, M., Olukolu, B. A., Wood, J. C., Diaz, F., Mosquera, V., Gruneberg, W. J., Khan, A., Buell, C. R., Yencho, G. C., & Zeng, Z.-B. (2020). Multiple QTL Mapping in Autopolyploids: A Random-Effect Model Approach with Application in a Hexaploid Sweetpotato Full-Sib Population. Genetics, 215(3), 579–595. https://doi.org/10.1534/genetics.120.303080

Key Features: - Random-effect QTL model for autopolyploids - Supports any ploidy level - Full-sib population QTL mapping - Multiple QTL model selection

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diaQTL

Amadeu, R. R., Muñoz, P. R., Zheng, C., & Endelman, J. B. (2021). QTL mapping in outbred tetraploid (and diploid) diallel populations. Genetics, 219(3). https://doi.org/10.1093/genetics/iyab124

Key Features: - Diallel analysis in tetraploids - Multi-environment QTL mapping - Allele dosage-based analysis - Breeding value prediction

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polyqtlR

Bourke, P. M., Voorrips, R. E., Hackett, C. A., van Geest, G., Willemsen, J. H., Arens, P., Smulders, M. J. M., Visser, R. G. F., & Maliepaard, C. (2021). Detecting quantitative trait loci and exploring chromosomal pairing in autopolyploids using polyqtlR. Bioinformatics, 37(21), 3822–3829. https://doi.org/10.1093/bioinformatics/btab574

Key Features: - Haplotype-based QTL mapping - Integration with polymapR maps - Tetraploid F1 populations - IBD-based QTL detection

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Visualization Tools

Interactive Plots

VIEWqtl uses plotly for interactive visualization:

Sievert C (2020). Interactive Web-Based Data Visualization with R, plotly, and shiny. Chapman and Hall/CRC. https://plotly-r.com

ggplot2 Graphics

Base plots created with ggplot2:

Wickham H (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. https://ggplot2.tidyverse.org

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Related Resources

Tools for Polyploids: https://www.polyploids.org/

VIEWpoly Tutorial: https://cristianetaniguti.github.io/viewpoly_vignettes/VIEWpoly_tutorial.html

Breeding Insight: https://www.breedinginsight.org

Additional Resources

VIEWpoly Tutorial: https://cristianetaniguti.github.io/viewpoly_vignettes/

MAPpoly Tutorial: https://rpubs.com/mmollin/tetra_mappoly_vignette

QTLpoly Tutorial: https://gabrielgesteira.github.io/QTLpoly/docs/1-tutorial

polyQTLR Tutorial: https://cran.r-project.org/web/packages/polyqtlR/vignettes/polyqtlR_vignette.html

polymapR Tutorial: https://cran.r-project.org/web/packages/polymapR/vignettes/Vignette_polymapR.html

diaQTL Tutorial: https://jendelman.github.io/diaQTL/diaQTL_Vignette.html

OneMap Tutorial: https://cristianetaniguti.github.io/Tutorials/onemap/

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Reporting Results

When publishing QTL analysis visualized in VIEWqtl, include:

1. VIEWpoly citation for visualization
2. Original QTL analysis software citation
3. Linkage map construction method citation

viewpoly documentation built on July 11, 2026, 1:08 a.m.