A high-quality binary protein-protein interaction map was generated for the Arabidopsis thaliana interactome, containing ~6,200 highly reliable interactions between ~2,700 proteins. This map reveals a global organization of plant biological processes and provides evidence for network evolution through dynamic rewiring following gene duplication events. The map was validated against a set of manually curated interactions and showed a precision of ~80%. It also demonstrated a high coverage of the Arabidopsis interactome, with an estimated total of 299,000 binary interactions. The map was compared to a literature-curated interaction network, showing similar fractions of plant-specific proteins but with AI-1 containing more plant-specific interactions. The map also revealed novel biological relationships, including those in plant signaling networks, such as ubiquitination and auxin signaling. Community analysis of the map identified 26 communities with biological relevance, including those related to brassinosteroid signaling and transcriptional co-repressors. The map also provided insights into the evolution of interactome networks, showing that interaction rewiring is not random but follows a "rapid-then-slow" pattern, suggesting that protein-protein interactions drive the evolution of duplicated genes. The study also found that paralogous pairs with high functional divergence share fewer interactors, and that the long-term fate of paralogous proteins is not necessarily complete divergence of their interaction profiles. The findings support the idea that interactome networks constrain and shape sequence evolution, and that network evolution is influenced by both duplication mechanisms and functional divergence. The study highlights the importance of interactome maps in understanding plant biology and improving crops.A high-quality binary protein-protein interaction map was generated for the Arabidopsis thaliana interactome, containing ~6,200 highly reliable interactions between ~2,700 proteins. This map reveals a global organization of plant biological processes and provides evidence for network evolution through dynamic rewiring following gene duplication events. The map was validated against a set of manually curated interactions and showed a precision of ~80%. It also demonstrated a high coverage of the Arabidopsis interactome, with an estimated total of 299,000 binary interactions. The map was compared to a literature-curated interaction network, showing similar fractions of plant-specific proteins but with AI-1 containing more plant-specific interactions. The map also revealed novel biological relationships, including those in plant signaling networks, such as ubiquitination and auxin signaling. Community analysis of the map identified 26 communities with biological relevance, including those related to brassinosteroid signaling and transcriptional co-repressors. The map also provided insights into the evolution of interactome networks, showing that interaction rewiring is not random but follows a "rapid-then-slow" pattern, suggesting that protein-protein interactions drive the evolution of duplicated genes. The study also found that paralogous pairs with high functional divergence share fewer interactors, and that the long-term fate of paralogous proteins is not necessarily complete divergence of their interaction profiles. The findings support the idea that interactome networks constrain and shape sequence evolution, and that network evolution is influenced by both duplication mechanisms and functional divergence. The study highlights the importance of interactome maps in understanding plant biology and improving crops.