Explainable AI identifies recombination and chromatin environment as key predictors of subgenome evolution in maize and Brassica
Layla A. Schuster, Beibei Liu, José Cleydson F. Silva, Xi Cheng, Raquel Dias, Meixia Zhao
The paper uses machine learning to identify recombination rate and chromatin environment as key factors influencing subgenome divergence in polyploid species like maize and Brassica.
bioRxiv · Jul 14, 2026 · PreprintPlant Biology