Abstract
The human gastrointestinal tract (GIT) is inhabited by a heterogeneous and dynamic microbial community that influences host health at multiple levels both metabolically, immunologically and via neurological pathways. Though the gut microbiota-overwhelmingly Bacteroidetes and Firmicutes-has essential functions in nutrient metabolism, immune regulation, and resistance to pathogens, its dysbiosis is likewise associated with pathologies, such as inflammatory bowel disease (IBD), obesity, type 2 diabetes (T2D), and neurodegenerative diseases. While conventional metagenomic techniques laid the groundwork for understanding microbial composition, next-generation enhanced metagenomic techniques permit an unprecedented resolution in exploring the functional and spatial complexity of gut communities. Advanced frameworks such as high-throughput sequencing, bioinformatic and multi-omics technologies are expanding the understanding of microbial gene regulation, metagenomic pathways, and host-microbe communication. Beyond taxonomic profiling, they map niche-specific activities of gut microbiota along a dichotomy of facultative mutualism, evidenced by relations of beneficial symbionts, represented here by Enterobacteriaceae. In this review, we critically consider the latest approaches (e.g., long-read sequencing, single-cell metagenomics and AI-guided annotation) that mitigate biases stemming from DNA extraction, sequencing depth and functional inference.