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Ambat, A.

Publications and source records attributed to Ambat, A..

6 recordsLinked to original sources

Capsular polysaccharide can sensitize bacteria to non-antibiotic drugs

Medications administered over long durations, such as phenothiazine antipsychotics, accumulate in the gut at concentrations that affect microbial growth. However, the bacterial features influencing sensitivity to these non-antibiotics remain poorly understood. Bacterial capsular polysaccharides (CPSs) typically confer protection against environmental stressors, including chemical, viral, and immunological pressures within the gut. But their roles under non-antibiotic drug pressure are unknown. Here, we show that the K5 CPS of Escherichia coli Nissle 1917 (EcN) sensitizes it to thioridazine (TDZ) and related antipsychotics. Among a panel of E. coli strains grown in minimal medium, EcN exhibited the highest sensitivity to TDZ. Experimentally evolving EcN under gut-relevant TDZ concentrations selected for resistant populations with convergent variants affecting the CPS locus, and TDZ-resistant clones correspondingly had lower CPS expression than their drug-susceptible counterparts. Genetic, transcriptomic, and phenotypic analyses confirmed that the K5 CPS enhances, rather than mitigates, TDZ sensitivity. These findings demonstrate that canonically protective surface structures can become vulnerabilities under non-antibiotic pharmaceutical pressure. Human medications may therefore inadvertently shape the expression and evolution of bacterial surface structures in the gastrointestinal tract, challenging presumptions of CPS-mediated environmental protection.

microbiology↗

CUPID-seq enables highly multiplexed amplicon sequencing via combinatorial in-line dual indexing

Targeted amplicon sequencing is widely used to profile genetic variation in defined genomic regions. In microbial ecology, for example, amplicon sequencing of the 16S and 18S ribosomal RNA genes has been transformative for characterizing microbial communities. However, on high-capacity sequencing platforms with patterned flow cells, throughput is constrained by the requirement for unique dual indexes (UDIs), which increases primer costs and limits the number of samples that can be pooled per sequencing run. Here, we introduce CUPID-seq (Combinatorial, Unique, Phased, In-line Dual-indexed sequencing), a highly multiplexed amplicon-sequencing strategy that increases scalability through combinatorial indexing across two rounds of PCR. CUPID-seq introduces phased, in-line UDIs during Round 1 gene-specific amplification, enabling multiple samples to share the same Illumina UDI during Round 2 PCR while remaining uniquely identifiable. This design reduces upfront costs by up to 85% and reduces library preparation time and reagent use by up to 40%. We develop and validate CUPID-seq primers targeting the 16S V4 region and provide a computational workflow for demultiplexing in-line indexes. Although optimized here for 16S-based profiling, CUPID-seq can be readily adapted to other user-defined amplicons. By reducing cost and increasing multiplexing capacity, CUPID-seq enables users to leverage high-throughput sequencing platforms more effectively across diverse biological contexts.

microbiology↗

Emergent metabolic interactions in resistance to Clostridioides difficile invasion

Commensal gut bacteria are key contributors to the resilience against pathogen invasion. This is exemplified by the success of fecal microbiota transplantation in treating recurrent Clostridioides difficile infection. Yet, characteristics of communities that can confer colonization resistance and the underlying mechanisms remain largely unknown. Here we use a synthetic community of 14 commensal gut bacteria to uncover inter-species interactions and metabolic pathways underpinning the emergent resilience against C. difficile invasion. We challenged this synthetic community as well as fecal-matter-derived communities with antibiotic treatment and C. difficile in a continuous flow bioreactor. Using generalized Lotka-Volterra and genome-scale metabolic modelling, we identified interactions between Escherichia coli and Bacteroides/Phocaeicola sp. as key to the pathogens suppression. Metabolomics analysis further revealed that fructooligosaccharide metabolism, vitamin B3 biosynthesis, and competition for Stickland metabolism precursors contribute to suppression. Analysis of metagenomics data from patient cohorts and clinical trials attested the in vivo relevance of the identified metabolic pathways and the ratio between Bacteroides and Escherichia in successful colonization resistance. The latter was found to be a much stronger discriminator than commonly used alpha diversity metrics. Our study uncovers emergent microbial interactions in pathogen resistance with implications for rational design of bacteriotherapies.

systems biology↗

A Caenorhabditis elegans based system for high-throughput functional phenotyping of human gut microbiota

The conventional bottom-up approach to probing the human gut microbiomes link with hosts in germ-free models is hampered by considerable costs and time. To address this, our study introduces the nematode Caenorhabditis elegans as an innovative high-throughput model for exploring the gut microbiomes impact on functional phenotypes. Traditionally, C. elegans studies have used continuous feeding for bacterial administration, a method that is unsuitable for anaerobes. For the first time, we have standardized a protocol for colonizing C. elegans with human gut anaerobes. By screening a microbial culturomics library representing 70% of the gut microbiomes functional capacity, we showed successful colonization for 46% of the library. Functional phenotyping revealed that 5 of 10 strains, previously identified in vitro as inhibiting C. difficile, also inhibited in vivo. Validation of a selected strain in a germ-free mouse model confirmed colonization resistance and an immune response consistent with findings in C. elegans, underscoring the models translational potential.

microbiology↗

Enhancing Recovery from Gut Microbiome Dysbiosis and Alleviating DSS-Induced Colitis in Mice with a Consortium of Rare Short-Chain Fatty Acid-Producing Bacteria

The human gut microbiota is a complex community comprising hundreds of species, with a few present in high abundance and the vast majority in low abundance. The biological functions and effects of these low-abundant species on their hosts are not yet fully understood. In this study, we assembled a bacterial consortium (SC-4) consisting of B. paravirosa, C. comes, M. indica, and A. butyriciproducens, which are low-abundant, short-chain fatty acid (SCFA)-producing bacteria isolated from healthy human gut, and tested its effect on host health using germfree and human microbiota-associated colitis mouse models. The selection also favored these four bacteria being reduced in abundance in either Ulcerative Colitis (UC) or Crohns disease (CD) metagenome samples. Our findings demonstrate that SC-4 can colonize germ-free (GF) mice, increasing mucin thickness by activating MUC-1 and MUC-2 genes, thereby protecting GF mice from Dextran Sodium Sulfate (DSS)-induced colitis. Moreover, SC-4 aided in the recovery of human microbiota-associated mice from DSS-induced colitis, and intriguingly, its administration enhanced the alpha diversity of the gut microbiome, shifting the community composition closer to control levels. The results showed enhanced phenotypes across all measures when the mice were supplemented with Inulin as a dietary fiber source alongside SC-4 administration. We also showed a functional redundancy existing in the gut microbiome, resulting in the low abundant SCFA producers acting as a form of insurance, which in turn accelerates recovery from the dysbiotic state upon the administration of SC-4. SC-4 colonization also upregulated iNOS gene expression, further supporting its ability to produce an increasing number of goblet cells. Collectively, our results provide evidence that low-abundant SCFA-producing species in the gut may offer a novel therapeutic approach to IBD.

microbiology↗

Identification of a microbial sub-community from the feral chicken gut that reduces Salmonella colonization and improves gut health in a gnotobiotic chicken model.

A complex microbial community in the gut generally prevent the colonization of enteric pathogens such as Salmonella. Because of the high complexity, several species or combination of species in the gut can confer colonization resistance. To gain a better understanding of the colonization resistance against Salmonella enterica, we isolated a library of 1,300 bacterial strains from feral chicken gut microbiota which represented a total of 51 species. Using a co-culture assay, we screened the representative species from this library and identified 30 species that inhibited Salmonella enterica Typhimurium. To improve the Salmonella inhibition capacity, from a pool of fast-growing species, we formulated 66 bacterial blends, each of which composed of 10 species. Bacterial blends were more efficient in inhibiting Salmonella as compared to individual species. The blend that showed maximum inhibition (Mix10) also inhibited other serotypes of Salmonella frequently found in poultry. The in vivo effect of Mix10 was examined in a gnotobiotic and conventional chicken model. The Mix10 consortium reduced Salmonella colonization, intestinal tissue damage and inflammation in both models. Cell free supernatant of Mix10 did not show Salmonella inhibition, indicating that Mix10 inhibits Salmonella through either nutritional competition or reinforcement of host immunity. Out of ten species, three species in Mix10 did not colonize while three species constituted more than 70% of the community. Two of these species represents previously uncultured bacteria. Our approach could be used as a high-throughput screening system to identify additional bacterial sub-communities that confer colonization resistance against enteric pathogens and its effect on the host. ImportanceSalmonella colonization in chicken and human infections originating from Salmonella- contaminated poultry is a significant problem. Poultry has been identified as the most common food linked to enteric pathogen outbreaks in the United States. Since multi-drug resistant Salmonella often colonize chicken and cause human infections, methods to control Salmonella colonization in poultry are needed. The method we describe here could form the basis of developing gut microbiota-derived bacterial blends as a microbial ecosystem therapeutic against Salmonella.

microbiology↗