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Shekarriz, S.

Publications and source records attributed to Shekarriz, S..

4 recordsLinked to original sources

Detecting microbial engraftment after FMT: sorting signals from noise using placebo sequencing and culture-enriched metagenomics

Fecal microbiota transplantation (FMT) has shown efficacy for the treatment of ulcerative colitis but with variable response between patients and trials. The mechanisms underlying FMTs therapeutic effects remains poorly understood but is generally assumed to involve engraftment of donor microbiota into the recipients microbiome. Previous studies have reported microbial engraftment following FMT in various disease contexts but with inconsistent results between studies. Here we investigate engraftment in UC patients receiving FMT from a single donor applying amplicon-based profiling, shotgun metagenomics and culture-enriched metagenomics. Placebo samples were included to estimate engraftment noise, and a significant level of false-positive engraftment was observed which confounds the prediction of true engraftment. We show that analyzing engraftment across multiple patients from a single donor enhances the accuracy of detection. We identified a unique set of genes engrafted in responders to FMT which supports strain displacement as the primary mechanism of engraftment in our cohort.

microbiology↗

Metabolic connections between folate and peptidoglycan pathways in Pseudomonas aeruginosa inform rational design of a dual-action inhibitor

Peptidoglycan is an important bacterial macromolecule that confers cell shape and structural integrity, and a key antibiotic target. The synthesis and turnover of peptidoglycan are carefully coordinated with other cellular processes and pathways. Although there are established connections between peptidoglycan and DNA replication or outer membrane biosynthesis, connections between peptidoglycan and folate metabolism are comparatively unexplored. Folate is an essential cofactor for bacterial growth and required for the synthesis of many important metabolites. Here we show that inhibition of folate synthesis in the important Gram-negative pathogen Pseudomonas aeruginosa has downstream effects on peptidoglycan metabolism and integrity. Folate inhibitors reduced expression of the AmpC {beta}-lactamase through perturbation of peptidoglycan recycling, potentiating the activity of {beta}-lactams normally cleaved by that resistance enzyme. Folate inhibitors also synergized with fosfomycin, which inhibits MurA - the first committed step in peptidoglycan synthesis - resulting in dose-dependent formation of round cells that underwent explosive lysis.The insights from this work were used to design a dual-active inhibitor that overcomes NDM-1-mediated meropenem resistance and synergizes with the folate inhibitor, trimethoprim. This work shows that folate and peptidoglycan metabolism are intimately connected and offers new opportunities to exploit this relationship in strategies to overcome antibiotic resistance in Gram-negative pathogens.

microbiology↗

Human gut metagenomes encode diverse GH156 sialidases

The intestinal lining is protected by a mucous barrier composed predominantly of complex carbohydrates. Gut microbes employ an array of glycoside hydrolases (GHs) to liberate mucosal sugars as a nutrient source to facilitate host colonization. Intensive catabolism of mucosal glycans, however, may contribute to barrier erosion, pathogen encroachment and inflammation. Sialic acid is an acidic sugar featured at terminal positions of host glycans. Characterized sialidases from the microbiome belong to the GH33 family, according to CAZy (Carbohydrate Active enZyme) database classification. A 2018 functional metagenomics screen using thermal spring DNA uncovered the founding member of the GH156 sialidase family, which lacks homology to GH33 sialidases and could not be taxonomically assigned. Subsequent structural analysis revealed critical active site residues. We sought to determine if GH156 sialidases are present in the human gut microbiome where they might contribute to mucous erosion. A subset of GH156 sequences from the CAZy database containing key sialidase residues was used to build a Hidden Markov Model. HMMsearch against public databases revealed [~]10X more putative GH156 sialidases than currently recognized by CAZy. Represented phyla include Bacteroidota, Verrucomicrobiota and Firmicutes_A from human microbiomes, all of which play notable roles in carbohydrate fermentation. Genomic analyses suggested that taxa containing GH156-encoding genes may utilize host-glycans. Analyses of metagenomic datasets revealed that GH156s are frequently encoded in metagenomes, with a greater variety and abundance of GH156 genes observed in traditional hunter-gatherer or agriculturalist societies than in industrialized societies, particularly relative to individuals with IBD. A GH156 gene frequently detected in traditional populations was cloned from stool sample DNA and the recombinant protein exhibited sialidase activity with a fluorogenic substrate. ImportanceSialic acids occupy terminal positions of human glycans where they act as receptors for microbes, toxins and immune signaling molecules. Microbial enzymes that remove sialic acids, sialidases, are abundant in the human microbiome where they may contribute to shaping the microbiota community structure or contribute to pathology. Furthermore, sialidases have proven to hold therapeutic potential for cancer therapy. Here we examined the sequence space of a sialidase family of enzymes, GH156, previously unknown to the human gut environment. Our analyses suggest that human populations with disparate dietary practices harbour distinct varieties and abundances of GH156-encoding genes. Furthermore, we demonstrate the sialidase activity of a gut derived GH156. These results expand the diversity of sialidases that may contribute to host glycan degradation and these sequences may have biotechnological or clinical utility.

microbiology↗

The utility of a metagenomics approach for marine biomonitoring

1The isolation and analysis of environmental DNA (eDNA) for ecosystem assessment and monitoring has become increasingly popular. A majority of studies have taken a metabarcoding approach--that is, amplifying and sequencing one or more gene targets of interest. Shotgun sequencing of eDNA--also called metagenomics--while popular in microbial community analysis has not seen much adoption for the analysis of other groups of organisms. Especially in light of the existence of extremely high-capacity DNA sequencers, we decided to test the performance of a shotgun approach side-by-side with a metabarcoding approach on marine water samples obtained from offshore Newfoundland. We found that metabarcoding remains the most efficient technique, but that metagenomics also has significant power to reveal biodiversity patterns, and in fact can be treated as an independent confirmation of ecological gradients. Moreover, we show that metagenomics can also be used to infer factors related to ecosystem health and function.

ecology↗