Gene Set Enrichment Analysis Highlights ATP Hydrolysis and Membrane-Associated Pathways in Drought-Tolerant Potato Cultivars
Abstract
Keywords
GSEA, Enrichment analysis, Potato, RNA-seq, Drought tolerance
References
- Afgan, E., Baker, D., van den Beek, M., Blankenberg, D., Bouvier, D., Čech, M., Chilton, J., Clements, D., Coraor, N., Eberhard, C., Grüning, B., Guerler, A., Hillman-Jackson, J., von Kuster, G., Rasche, E., Soranzo, N., Turaga, N., Taylor, J., Nekrutenko, A., & Goecks, J. (2016). The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update. Nucleic Acids Research, 44(W1), W3–W10. https://doi.org/10.1093/nar/gkw343
- Barra, M., Meneses, C., Riquelme, S., Pinto, M., Lagüe, M., Davidson, C., & Tai, H. H. (2019). Transcriptome profiles of contrasting potato (Solanum tuberosum L.) genotypes under water stress. Agronomy, 9(12), 848. https://doi.org/10.3390/agronomy9120848
- Batut, B., Freeberg, M., Heydarian, M., Erxleben, A., Videm, P., Blank, C., Doyle, M., Soranzo, N., van Heusden, P., & Delisle, L. (2016). Reference-based RNA-Seq data analysis. Galaxy Training Materials, 1(1), 1. https://training.galaxyproject.org/training-material/topics/transcriptomics/tutorials/ref-based/tutorial.html
- Doyle, M., Phipson, B., & Dashnow, H. (2020). RNA-Seq reads to counts. Galaxy Training Materials. https://training.galaxyproject.org/training-material/
- ElBasyoni, I., Saadalla, M., Baenziger, S., Bockelman, H., & Morsy, S. (2017). Cell membrane stability and association mapping for drought and heat tolerance in a worldwide wheat collection. Sustainability, 9(9), 1606. https://doi.org/10.3390/su9091606
- Guo, X., Peng, C., Li, T., Huang, J., Song, H., Zhu, Q., & Wang, M. (2021). The effects of drought and re-watering on non-structural carbohydrates of Pinus tabulaeformis seedlings. Biology, 10(9), 915. https://doi.org/10.3390/biology10090915
- Han, H., Lee, S., & Lee, I. (2019). Ngsea: Network-based gene set enrichment analysis for interpreting gene expression phenotypes with functional gene sets. Molecules and Cells, 42(8), 579–588. https://doi.org/10.14348/MOLCELLS.2019.0065
- Hiltemann, S., Rasche, H., Gladman, S., Hotz, H. R., Larivière, D., Blankenberg, D., Jagtap, P. D., Wollmann, T., Bretaudeau, A., Goué, N., Griffin, T. J., Royaux, C., Le Bras, Y., Mehta, S., Syme, A., Coppens, F., Droesbeke, B., Soranzo, N., Bacon, W., … Batut, B. (2023). Galaxy training: A powerful framework for teaching! PLoS Computational Biology, 19(1), e1010752. https://doi.org/10.1371/journal.pcbi.1010752
- Hong, Y., Zhang, W., & Wang, X. (2010). Phospholipase D and phosphatidic acid signalling in plant response to drought and salinity. Plant, Cell & Environment, 33(4), 627–635. https://doi.org/10.1111/j.1365-3040.2009.02087.x
- Hotelling, H. (1933). Analysis of a complex of statistical variables into principal components. Journal of Educational Psychology, 24(6), 417–441. https://doi.org/10.1037/h0071325


