From Plants to Patients: Mitochondrial Stress Signaling as a Systems Framework for Human Disease Vulnerability

Authors

Gokdemir, F. S., Eyidogan, F., Kubat, G. B., Singh, K. K.

Abstract

Mitochondria integrate bioenergetic metabolism, redox control, genome maintenance, and stress signaling across all eukaryotes. Although plant and human mitochondria diverged substantially during evolution, both systems retain systems-level principles for sensing mitochondrial dysfunction and communicating stress signals to the nucleus. Here, we develop an integrative comparative in silico framework to evaluate whether plant mitochondrial stress signaling can provide a useful conceptual model for interpreting human mitochondrial disease vulnerability. Core Arabidopsis thaliana regulators representing alternative respiration, mitochondrial retrograde signaling, translational stress control, and genome surveillance were compared with functionally analogous human regulators involved in integrated stress response (ISR) signaling, mitochondrial DNA maintenance, and mitochondrial disease phenotypes. Domain architecture, protein-protein interaction topology, enrichment profiles, disease-gene associations, and promoter motif architecture were integrated to assess cross-kingdom convergence at the level of stress-response organization rather than direct orthologs. The plant network formed a compact AOX-NAC-centered stress module associated with respiratory flexibility and retrograde signaling, whereas the human network displayed expanded ISR and mtDNA maintenance modules enriched for mitochondrial disease associations. Promoter motif analyses further indicated lineage-specific transcription factor signatures but broadly comparable stress-responsive regulatory logic. Collectively, these results support the concept that plant mitochondrial stress systems represent simplified resilience-oriented architectures that can help generate experimentally testable hypotheses about failure points in human mitochondrial stress responses.

Preprint server: bioRxiv
The authors list and abstract were imported from bioRxiv on 22 Aug 2026.

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