<p>Rice blast, caused by <i>Magnaporthe oryzae</i>, remains a major constraint to global rice production, typically presenting as necrotic lesions on infected leaves. To investigate the bacterial communities associated with these lesions, we employed a novel “Microbiome Imprinting-Metabarcoding” approach, which generated comprehensive microbial datasets (203.34&#xa0;Mb) from two blast-infected rice cultivars, aromatic Pusa Basmati 1 (PB1) and non-aromatic VL Dhan 85. Metabarcoding analysis revealed the consistent presence of several dominant bacterial genera, including <i>Pantoea</i>, <i>Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium</i>, <i>Pseudomonas</i>, and <i>Chryseobacterium</i>, across both cultivars. Notably, bacterial diversity was reduced in blast lesions compared to healthy phylloplane tissues. Lesion samples comprised 28 genera (Shannon Diversity Index: 1.66; Chao1 richness: 326.86), whereas healthy leaves harbored 48 genera (Shannon Diversity Index: 1.98; Chao1 richness: 361.82). Linear discriminant effect size (LEfSe) analysis identified specific genera such as <i>Bifidobacterium</i>, <i>Desemzia</i>, <i>Acidovorax</i>, and <i>Mucilaginibacter</i> that were uniquely associated with the dysbiotic microbial communities in infected tissues. Core microbiome analysis further revealed ten genera shared between both cultivars, with <i>Pantoea</i> and <i>Allorhizobium</i> emerging as the most abundant. These findings offer new insights into the composition and dynamics of lesion-associated bacterial communities in rice blast and highlight potential microbial targets for the development of improved disease management strategies.</p> Graphical Abstract <p> Graphical abstract on Dysbiosis of the Rice Leaf Phyllomicrobiome Induced by <i>Magnaporthe oryzae</i> Infection: Evidence from Metabarcoding and Microbiome Imprinting</p> <p></p>