A large subset of patients with Angelman syndrome (AS) suffer from concurrent gastrointestinal (GI) issues, including constipation, poor feeding, and reflux. AS is caused by the loss of ubiquitin ligase E3A (UBE3A) gene expression in the brain. Clinical features of AS, which include developmental delays, intellectual disability, microcephaly, and seizures, are primarily due to the deficient expression or function of the maternally inherited UBE3A allele. The association between neurodevelopmental delay and GI disorders is part of the increasing evidence suggesting a link between the brain and the gut microbiome via the microbiota-gut-brain (MGB) axis. To investigate the associations between colonization of the gut microbiota in AS, we characterized the fecal microbiome in three animal models of AS containing maternal deletions of Ube3A, including mouse, rat, and pig, using 16S ribosomal RNA amplicon sequencing. Overall changes in the microbial composition of all three animal models of AS in both the phylum and genus levels of bacterial abundance were identified. Specific bacterial groups were significantly increased across all animal models, including: Lachnospiraceae Incertae sedis, Desulfovibrios sp., and Odoribacter, which have been correlated with neuropsychiatric disorders. Taken together, these findings suggest that specific changes to the local environment in the gut are driven by a Ube3a maternal deletion, unaffected by varying housing conditions and are prominent and detectable across multiple small and large model species. These findings may begin to uncover the underlying mechanistic causes of GI disorders in AS patients and provide future therapeutic options for AS patients.IMPORTANCEAngelman syndrome (AS) associated gastrointestinal (GI) symptoms significantly impact quality of life in patients. Using AS models in mouse, rat, and pig, AS animals showed impaired colonization of the gut microbiota compared to wild type (healthy) control animals. Unique changes in AS microbiomes across all three animal models may be important in causing GI symptoms and may help to identify ways to treat these comorbidities in patients in the future.