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Article

AI-Powered Structural and Co-Expression Analysis of Potato (Solanum tuberosum) StABCG25 Transporters Under Drought: A Combined AlphaFold, WGCNA, and MD Approach

1
Department of Chemistry, Faculty of Science and Literature, Muş Alparslan University, 49250 Muş, Türkiye
2
Department of Plant Production and Technologies, Faculty of Applied Sciences, Muş Alparslan University, 49250 Muş, Türkiye
*
Author to whom correspondence should be addressed.
Biology 2025, 14(12), 1723; https://doi.org/10.3390/biology14121723 (registering DOI)
Submission received: 27 October 2025 / Revised: 17 November 2025 / Accepted: 27 November 2025 / Published: 1 December 2025
(This article belongs to the Section Biochemistry and Molecular Biology)

Simple Summary

Drought is a major problem for potato plants. Some genes help the plant to survive by moving a stress hormone called ABA to where it is needed. In this study, we focused on a group of these genes in potato. Using computer models, we looked at how these genes behave under drought conditions and how stable their protein structures are. We found that two of the genes are more active in drought-tolerant potatoes, and their protein shapes are more stable. These results help us understand how potatoes respond to drought and can guide future efforts to develop stronger potato varieties.

Abstract

Drought stress significantly impacts potato (Solanum tuberosum) yield and quality, necessitating the identification of molecular regulators involved in stress response. This study presents a systems-level, integrative in silico strategy to characterize StABCG25 transporter homologs, key players in abscisic acid (ABA) export in Arabidopsis, to evaluate their potential role in drought adaptation. We performed a genome-wide scan of the potato genome and identified four StABCG25 isoforms. A comprehensive computational framework was applied, including transcriptomic profiling, Weighted Gene Co-expression Network Analysis (WGCNA), AlphaFold2-based 3D modeling, docking, and long-timescale Molecular Dynamics (MD) simulations. Expression analyses revealed the coordinated upregulation of StABCG25-2 and -4 in the drought-tolerant FB clone, contrasted by suppression or instability in sensitive cultivars. WGCNA placed StABCG25-2 as a hub gene in ABA-enriched stress response modules, while StABCG25-4 was associated with plastid-related pathways, suggesting functional divergence. Structurally, StABCG25-2 and -6 exhibited high conformational stability in MD simulations, supported by consistent RMSD/RMSF profiles and MM/PBSA-based binding energy estimates. In contrast, StABCG25-5B, despite favorable docking scores, demonstrated poor dynamic stability and unreliable binding affinity. Overall, this study highlights the critical role of transcriptional coordination and structural robustness in the functional specialization of StABCG25 isoforms under drought stress. Our findings underscore the value of combining WGCNA and molecular dynamics simulations to identify structurally and functionally relevant ABA transporters for future crop improvement strategies.
Keywords: StABCG25 transporter; AlphaFold; molecular dynamics simulation; WGCNA (weighted gene co-expression network analysis); ABA transport StABCG25 transporter; AlphaFold; molecular dynamics simulation; WGCNA (weighted gene co-expression network analysis); ABA transport

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MDPI and ACS Style

Kurt, B.; Kurt, F. AI-Powered Structural and Co-Expression Analysis of Potato (Solanum tuberosum) StABCG25 Transporters Under Drought: A Combined AlphaFold, WGCNA, and MD Approach. Biology 2025, 14, 1723. https://doi.org/10.3390/biology14121723

AMA Style

Kurt B, Kurt F. AI-Powered Structural and Co-Expression Analysis of Potato (Solanum tuberosum) StABCG25 Transporters Under Drought: A Combined AlphaFold, WGCNA, and MD Approach. Biology. 2025; 14(12):1723. https://doi.org/10.3390/biology14121723

Chicago/Turabian Style

Kurt, Barış, and Firat Kurt. 2025. "AI-Powered Structural and Co-Expression Analysis of Potato (Solanum tuberosum) StABCG25 Transporters Under Drought: A Combined AlphaFold, WGCNA, and MD Approach" Biology 14, no. 12: 1723. https://doi.org/10.3390/biology14121723

APA Style

Kurt, B., & Kurt, F. (2025). AI-Powered Structural and Co-Expression Analysis of Potato (Solanum tuberosum) StABCG25 Transporters Under Drought: A Combined AlphaFold, WGCNA, and MD Approach. Biology, 14(12), 1723. https://doi.org/10.3390/biology14121723

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