Biology subjects

Fogarty, E. C.

Publications and source records attributed to Fogarty, E. C..

6 recordsLinked to original sources

bioRxiv2025

Defining the Mycobacterium tuberculosis Pangenome and Suggestions for a New Composite Reference Sequence

Mycobacterium tuberculosis (Mtb) causes tuberculosis (TB), a global disease with diverse clinical and microbiological manifestations. Studies into the biological causes of this phenotypic diversity have been largely limited to a few reference strains. A pangenome approach is likely to provide new insights. Pangenomic tuberculosis studies have been limited the availability of only fragmented genome sequences and error-prone reference genomes. We used a de novo assembly pipeline that generates extremely complete and accurate whole genome sequences to generate 50 closed Mtb genomes across all seven major lineages. We identified 3,377 core gene clusters and 379 accessory clusters. Analysis showed multi-copy core clusters were largely due to gene fragmentation (76%), paralogs (12%), nearly identical gene duplications (4%), or combinations (8%). Sixteen hypervariable regions (HVRs) were identified, including novel paralogs and variable PE/PPE genes. We consolidated these findings into a Pangenome Gene Reference Resource (PGRR) for precision alignment. Our study demonstrates the closed nature of the Mtb pangenome, with most variation in accessory genes and HVRs. The PGRR provides a foundation for improved drug/vaccine target discovery and highlights the need to move beyond the commonly used H37Rv strain to study Mtb genetic and phenotypic diversity. IMPORTANCETuberculosis (TB), caused by Mycobacterium tuberculosis, affects millions globally. Genetic differences among Mtb strains have been difficult to resolve due to incomplete genome references. We sequenced and analyzed complete genomes of 50 Mtb strains from all lineages, identifying 16 hypervariable regions and 3,498 core gene clusters whose diversity mostly stemmed from gene fragmentation, paralog duplication and deletion events and differences in the PE/PPE gene family representation. These differences may explain many of the varied clinical manifestations of TB. We created Pangenome Gene Reference Resource to unify genetic data for precise comparison studies to aid in developing new drugs vaccines and other interventions against this disease.

microbiology↗

bioRxiv2023

Microbes with higher metabolic independence are enriched in human gut microbiomes under stress

A wide variety of human diseases are associated with loss of microbial diversity in the human gut, inspiring a great interest in the diagnostic or therapeutic potential of the microbiota. However, the ecological forces that drive diversity reduction in disease states remain unclear, rendering it difficult to ascertain the role of the microbiota in disease emergence or severity. One hypothesis to explain this phenomenon is that microbial diversity is diminished as disease states select for microbial populations that are more fit to survive environmental stress caused by inflammation or other host factors. Here, we tested this hypothesis on a large scale, by developing a software framework to quantify the enrichment of microbial metabolisms in complex metagenomes as a function of microbial diversity. We applied this framework to over 400 gut metagenomes from individuals who are healthy or diagnosed with inflammatory bowel disease (IBD). We found that high metabolic independence (HMI) is a distinguishing characteristic of microbial communities associated with individuals diagnosed with IBD. A classifier we trained using the normalized copy numbers of 33 HMI-associated metabolic modules not only distinguished states of health versus IBD, but also tracked the recovery of the gut microbiome following antibiotic treatment, suggesting that HMI is a hallmark of microbial communities in stressed gut environments.

microbiology↗

bioRxiv2023

A highly conserved and globally prevalent cryptic plasmid is among the most numerous mobile genetic elements in the human gut

Plasmids are extrachromosomal genetic elements that often encode fitness enhancing features. However, many bacteria carry cryptic plasmids that do not confer clear beneficial functions. We identified one such cryptic plasmid, pBI143, which is ubiquitous across industrialized gut microbiomes, and is 14 times as numerous as crAssphage, currently established as the most abundant genetic element in the human gut. The majority of mutations in pBI143 accumulate in specific positions across thousands of metagenomes, indicating strong purifying selection. pBI143 is monoclonal in most individuals, likely due to the priority effect of the version first acquired, often from ones mother. pBI143 can transfer between Bacteroidales and although it does not appear to impact bacterial host fitness in vivo, can transiently acquire additional genetic content. We identified important practical applications of pBI143, including its use in identifying human fecal contamination and its potential as an inexpensive alternative for detecting human colonic inflammatory states.

microbiology↗

bioRxiv2022

A comprehensive update to the Mycobacterium tuberculosis H37Rv reference genome

H37Rv is the most widely used M. tuberculosis strain. Its genome is globally used as the M. tuberculosis reference sequence. We developed Bact-Builder, a pipeline that leverages consensus building to generate complete and highly accurate gap-closed bacterial genomes and applied it to three independently sequenced cultures of a parental H37Rv laboratory stock. Two of the 4,417,942 base-pair long H37Rv assemblies were 100% identical, with the third differing by a single nucleotide. Compared to the existing H37Rv reference, the new sequence contained approximately 6.4 kb additional base pairs encoding ten new regions. These regions included insertions in PE/PPE genes and new paralogs of esxN and esxJ, which were differentially expressed compared to the reference genes. Additional sequencing and assembly with Bact-Builder confirmed that all 10 regions were also present in widely accepted strains of H37Rv: NR123 and TMC102. Bact-builder shows promise as an improved method to perform extremely accurate and reproducible de novo assemblies of bacterial genomes. Furthermore, our findings provide important updates to the primary tuberculosis reference genome.

microbiology↗

bioRxiv2022

Low diversity and microdiversity of comammox bacteria in wastewater systems suggests wastewater-specific adaptation within the Ca. Nitrospira nitrosa cluster.

Studies have found Ca. Nitrospira nitrosa-like bacteria to be the principal or sole comammox bacteria in nitrogen removal systems for wastewater treatment. In contrast, multiple populations of strict ammonia and nitrite oxidizers co-exist in similar systems. This apparent lack of diversity is surprising and could impact the feasibility of leveraging comammox bacteria for nitrogen removal. We used full-length 16S rRNA gene sequencing and genome-resolved metagenomics to compare population-level (i.e., species) diversity of comammox bacteria with that of strict nitrifiers in full-scale wastewater treatment systems and assess whether these observations were consistent or diverged at the strain-level. Full-length 16S rRNA gene sequencing indicated that while Nitrosomonas-like bacteria exhibited higher population-level diversity, the effective microdiversity of most Nitrospira-like bacteria were comparatively higher except for one Nitrospira Lineage II population. Comammox bacterial metagenome assembled genomes (MAGs) were associated with Ca. Nitrospira nitrosa. The average amino acid identity between comammox bacterial MAGs (93% {+/-} 3) across systems was significantly higher than that of the Nitrosomonas-like ammonia oxidizers (73%{+/-}8) and the Nitrospira-like nitrite oxidizer MAGs (75%{+/-}13), suggesting that the same comammox population was detected in all systems. Comammox bacteria and some ammonia oxidizers MAGs were significantly less microdiverse than most ammonia and nitrite oxidizers. Interestingly, strain-resolved analysis also indicates that different nitrogen removal systems harbor different comammox bacterial strains within the Ca. Nitrospira nitrosa cluster. These results suggest that comammox bacteria associated with Ca. Nitrospira nitrosa have low species- and strain-level diversity in nitrogen removal systems and may thus harbor specific adaptations to the wastewater ecosystem.

microbiology↗

bioRxiv2020

Discovering plasmids in metagenomes based on genetic architecture

Despite their prevalence and impact on microbial lifestyles, ecological and evolutionary insights into naturally occurring plasmids are far from complete. Here we developed a machine learning model, PlasX, which identified 68,350 non-redundant plasmids across human gut metagenomes, and we organized them into 1,169 evolutionarily cohesive plasmid systems using our sequence containment-aware network partitioning algorithm, MobMess. Similar to microbial taxa, individuals from the same country tend to cluster together based on their plasmid diversity. However, we found no correlation between plasmid diversity and bacterial taxonomy. Individual plasmids were often country-specific, yet most plasmid systems spanned across geographically distinct human populations, revealing cargo genes that likely respond to environmental selection. Our study introduces powerful tools to recognize and organize plasmids, uncovers their tremendous diversity and intricate ecological and evolutionary patterns in naturally occurring habitats, and demonstrates that plasmids represent a dimension of ecosystems that is not explained by microbial taxonomy alone.

bioinformatics↗