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Santiago-Rodriguez, T. M.

Publications and source records attributed to Santiago-Rodriguez, T. M..

2 recordsLinked to original sources

Microbiota-Based Interventions Differentially Rescue Gut and Social Behavior Phenotypes in a Drosophila Autism-like Model

IntroductionAutism spectrum disorder (ASD) is a lifelong neurological and developmental disorder that has no cure and is often accompanied by gastrointestinal (GI) issues. The bidirectional communication system known as the gut microbiota-brain axis may help explain how GI dysfunction contributes to neurological symptoms. Loss-of-function mutations in the histone demethylases KDM5A, KDM5B or KDM5C are found in patients with intellectual disability and ASD. Previous studies using a Drosophila Kdm5 loss-of-function (Kdm5LOF) ASD-like model revealed gut microbial dysbiosis, reduced abundance of Lactiplantibacillus plantarum, and impaired social behavior. While L. plantarum supplementation rescued intestinal abnormalities, it did not restore social behavior. MethodsHere, we evaluated multiple microbiota-based interventions, including probiotic supplementation with Lactiplantibacillus plantarum, Lactobacillus helveticus, their combination, and fecal microbiota transplantation (FMT), to determine their capacity to modulate gut microbial composition and behavior in Kdm5LOF flies. Gut bacterial abundance was quantified using colony-forming unit (CFU) assays and full-length 16S rRNA gene sequencing. Social behavior was assessed using the social distance assay, while anxiety-like behavior and locomotion were evaluated using the open field test. Gut-specific Kdm5 knockdown was used to assess tissue-specific contributions to microbiota and behavioral phenotypes. ResultsKdm5 deficiency resulted in reduced abundance of culturable Lactobacillus, Acetobacter, and Enterobacter species, accompanied by impaired social behavior. L. plantarum supplementation restored gut microbial abundance in both whole-body Kdm5LOF and gut-specific Kdm5 knockdown models but did not significantly rescue social behavior. In contrast, L. helveticus significantly improved social interaction in Kdm5LOF flies despite minimal effects on gut bacterial abundance, revealing a dissociation between microbial restoration and behavioral outcomes. Gut-specific Kdm5 knockdown phenocopied both microbial and social defects observed in Kdm5LOFmutants. Notably, FMT from healthy donors partially restored Lactobacillus abundance, reshaped gut microbial community structure, and partially improved social behavior in Kdm5LOF recipient flies. ConclusionsTogether, these findings identify Kdm5 as a key regulator of gut microbial viability and social behavior and demonstrate that microbiota-based interventions exert strain- and phenotype-specific effects. Our results reveal that restoration of microbial abundance alone is insufficient to rescue social behavior and highlight the importance of functional host-microbe interactions in gut-brain communication. This work establishes Drosophila as a tractable platform for dissecting epigenetic regulation of microbiota-behavior relationships relevant to ASD and for evaluating targeted probiotic and microbiota-transfer strategies.

neuroscience↗

Optimizing Tissue Lysis and DNA Extraction Protocols to Enhance Bacterial Diversity Profiling in the Drosophila melanogaster Gut Microbiome

The gut microbiota is a dynamic community that influences host metabolism, immunity, and overall health. Accurate characterization of this community requires robust and reproducible DNA extraction methods; however, technical biases introduced during tissue lysis and DNA isolation remain major challenges in microbiome research, particularly in animal model systems. In this study, we compared two commercial DNA extraction kits (Qiagen and Zymo) and two lysis methods (manual pestle homogenization and bead-beating) to evaluate their impact on microbiota profiling in a microbial community standard (MCS) and Drosophila melanogaster gut samples, a tractable model for host-microbe interactions. Full-length 16S rRNA sequencing was performed using Oxford Nanopore Technologies, followed by bioinformatic analysis using EPI2ME for taxonomic classification and standard diversity pipelines. Our data revealed that extraction and lysis methods significantly influence microbial composition, with some protocols resulting in inflated richness in MCS samples. Pestle homogenization with the Qiagen kit yielded the highest bacterial species richness while maintaining consistent representation of both Gram-positive and Gram-negative taxa. These findings demonstrate that extraction methodology strongly affects microbial diversity estimates and emphasize the need for standardized protocols to ensure reproducibility across microbiome studies, particularly those using model systems.

microbiology↗