Biology subjects

Watts, T. D.

Publications and source records attributed to Watts, T. D..

6 recordsLinked to original sources

bioRxiv2026

Paired in situ and molecular analyses identify mechanisms of pathogen persistence within environmental communities

Natural environments are a key reservoir for many opportunistic pathogens, yet mechanisms enabling persistence within complex microbial communities remain poorly defined. Current methods do not adequately link molecular and functional understanding of bacterial persistence to the activities of bacteria within their natural microbial community. Here we combine in situ culture-independent techniques, including metagenomics and metatranscriptomics, with isolate-level functional genomics and mutant studies to understand how opportunistic pathogens from the genera Escherichia, Klebsiella, and Enterococcus survive in urban-adjacent freshwater ecosystems. . Our results show that potential pathogens from each of these genera are both present and active within freshwater microbial communities. We further investigate a mouse-virulent isolate of the E. coli UPEC lineage ST73 isolated directly from this ecosystem, showing that this isolate persists in freshwater microcosms for at least one month. Paired transcriptomics and genome-scale fitness screening in creek water containing autochthonous microbiota identified E. coli genes required for persistence, including those involved in amino acid metabolism, nucleotide biosynthesis and biogenesis of curli. Isolate-resolved metatranscriptomics analysis supported these findings by revealing that many of these genes were highly expressed in situ. Deletion of curli structural genes resulted in reduced biofilm formation and a fitness defect specifically in the presence of freshwater microbiota, indicating that these structures promote environmental survival by improving E. coli competitiveness. Our study deepens our understanding of E. coli survival in waterways, while providing a broadly applicable framework for interrogating mechanisms of pathogen persistence in complex environments and communities.

microbiology↗

bioRxiv2025

Integrated cross-sectoral surveillance of antimicrobial resistance genotypes and phenotypes across disparate reservoirs

Antimicrobial-resistant (AMR) bacteria and genes are continually exchanged among humans, animals, and environmental reservoirs. Disparate and siloed surveillance methods present a major challenge for tracing and disrupting AMR transmission, with clinical monitoring focusing on detecting specific pathogens or specific genes of interest, and environmental surveys often relying on inferences drawn from indicator organisms. Here, we demonstrate that, following sample-specific pre-processing, common surveillance approaches can be applied consistently to profile AMR abundance, distribution, and phenotypes across diverse reservoirs, including soil, sediment, water, wastewater, and faecal samples from both urban and agricultural settings. Across all sample types, three core methods provided complementary insights: (i) quantitative PCR (qPCR) arrays to measure multiple AMR genes, (ii) gene- and genome-centric metagenomics for comprehensive resistome profiling, and (iii) culture-based genomics with susceptibility testing to link genotypes to phenotypes. We applied this approach to profile 1,032 metagenome-assembled genomes, 66 bacterial isolate genomes, and 78 and 6,442 AMR genes/reference sequences via qPCR and metagenomics, respectively. This integrated framework revealed a moderate prevalence but high diversity of resistance mechanisms in both pathogens and non-pathogenic bacteria with potentially transmissible genes, with wastewater especially enriched in AMR genes. We detected mismatches between genotype and phenotype predictions and a prevalence of intermediate resistance phenotypes, highlighting how many mechanisms of environmental resistance remain poorly understood. Overall, this study demonstrates that unified field-leading surveillance methods can be extended beyond clinical contexts into diverse environmental and animal samples, while highlighting that multiple methods are needed to capture the diverse AMR genotypes and phenotypes in these settings to enable comprehensive monitoring and adaptive solutions to restrict transmission.

microbiology↗

bioRxiv2024

A widespread hydrogenase drives fermentative growth of gut bacteria in healthy people

Molecular hydrogen (H2) is among the most central, but least understood, metabolites in the human gastrointestinal tract (gut). H2 gas is produced in large quantities during bacterial fermentation and consumed as an energy source by bacteria and archaea. Disruption of H2 cycling is linked to gastrointestinal disorders, infections, and cancers, with H2 used as an indicator of gut dysfunction through breath tests. Despite this, the microorganisms, pathways, and enzymes mediating H2 production remain unresolved. Here we show that a previously uncharacterised enzyme, the group B [FeFe]-hydrogenase, drives most fermentative H2 production in the human gut. Analysis of stool, biopsy, and isolate (meta)genomes and (meta)transcriptomes show this hydrogenase is encoded by most gut bacteria and is highly expressed. Through analysis of 19 taxonomically diverse gut isolates, the group B [FeFe]-hydrogenase produces large amounts of H2 gas and supports fermentative growth of both Bacteroidetes and Firmicutes. Bacteroides particularly dominate H2 production. Biochemical and spectroscopic characterisation shows purified group B [FeFe]-hydrogenases are catalytically active and bind a di-iron active site. These hydrogenases are highly enriched in the guts of healthy individuals, but significantly depleted in favour of other fermentative hydrogenases in Crohns disease. Furthermore, we show that metabolically flexible respiratory bacteria are the most abundant H2 oxidizers in the gut, not sulfate reducers, methanogens, and acetogens as previously thought. This combination of enzymatic, cellular, and ecosystem-level analysis provides the first detailed understanding of H2 cycling in the human gut and reveals new links between microbiota function and gastrointestinal health.

microbiology↗

bioRxiv2023

An obligate aerobe adapts to hypoxia by hybridising fermentation with carbon storage

In soil ecosystems, obligately aerobic bacteria survive oxygen deprivation (hypoxia) by entering non-replicative persistent states. Little is known about how these bacteria rewire their metabolism to stay viable in these states. The model obligate aerobe Mycobacterium smegmatis maintains redox homeostasis during hypoxia by mediating fermentative hydrogen production. However, the fate of organic carbon during fermentation, and the associated remodeling of carbon metabolism, is unresolved. Here we systematically profiled the metabolism of M. smegmatis during aerobic growth, hypoxic persistence, and the transition between these states. Using differential isotope labelling, and paired metabolomics and proteomics, we observed rerouting of central carbon metabolism through the pentose phosphate pathway and Entner-Doudoroff pathway during hypoxia. We show that M. smegmatis excretes high levels of hydrogen concurrently with upregulating triacylglyceride synthases and accumulating glycerides as carbon stores. Using electron cryotomography (cryo-ET), we observed the presence of large spheroid structures consistent with the appearance of lipid droplets. Thus, in contrast to obligately and facultative anaerobic fermentative bacteria, M. smegmatis stores rather than excretes organic carbon during hypoxia. This novel hybrid metabolism likely provides a competitive advantage in resource-variable environments by allowing M. smegmatis to simultaneously dispose excess reductant during hypoxia and maintain carbon stores to rapidly resume growth upon reoxygenation.

microbiology↗

bioRxiv2019

A near-full-length HIV-1 genome from 1966 recovered from formalin-fixed paraffin-embedded tissue

Although estimated to have emerged in humans in Central Africa in the early 1900s, HIV-1, the main causative agent of AIDS, was only discovered in 1983. With very little direct biological data of HIV-1 from before the 1980s, far-reaching evolutionary and epidemiological inferences regarding the long pre-discovery phase of this pandemic are based on extrapolations by phylodynamic models of HIV-1 genomic sequences gathered mostly over recent decades. Here, using a very sensitive multiplex RT-PCR assay, we screened 1,652 formalin-fixed paraffin-embedded tissue specimens collected for pathology diagnostics in Kinshasa, Democratic Republic of Congo (DRC), between 1959 and 1967. We report the near-complete genome of one positive from 1966 (\"DRC66\")--a non-recombinant sister lineage to subtype C that constitutes the oldest HIV-1 near-full-length genome recovered to date. Root-to-tip plots showed the DRC66 sequence is not an outlier as would be expected if dating estimates from more recent genomes were systematically biased; and inclusion of DRC66 sequence in tip-dated BEAST analyses did not significantly alter root and internal node age estimates based on post-1978 HIV-1 sequences. There was larger variation in divergence time estimates among datasets that were subsamples of the available HIV-1 genomes from 1978-2015, showing the inherent phylogenetic stochasticity across subsets of the real HIV-1 diversity. In conclusion, this unique archival HIV-1 sequence provides direct genomic insight into HIV-1 in 1960s DRC, and, as an ancient-DNA calibrator, it validates our understanding of HIV-1 evolutionary history.\n\nSignificanceInferring the precise timing of the origin of the HIV/AIDS pandemic is of great importance because it offers insights into which factors did--or did not--facilitate the emergence of the causal virus. Previous estimates have implicated rapid development during the early 20th century in Central Africa, which wove once-isolated populations into a more continuous fabric. We recovered the first HIV-1 genome from the 1960s, and it provides direct evidence that HIV-1 molecular clock estimates spanning the last half-century are remarkably reliable. And, because this genome itself was sampled only about a half-century after the estimated origin of the pandemic, it empirically anchors this crucial inference with high confidence.

evolutionary biology↗

bioRxiv2018

The specificity of ParR binding determines the compatibility of conjugative plasmids in Clostridium perfringens

Plasmids that encode the same replication machinery are generally unable to coexist in the same bacterial cell. However, Clostridium perfringens strains often carry multiple conjugative toxin or antibiotic resistance plasmids that are closely related and encode similar Rep proteins. In many bacteria, plasmid partitioning upon cell division involves a ParMRC system and there are ~10 different ParMRC families in C. perfringens, with differences in amino acid sequences between each ParM family (15% - 54% identity). Since plasmids encoding genes belonging to the same ParMRC family are not observed in the same strain, these families appear to represent the basis for plasmid compatibility in C. perfringens. To understand this process, we examined the key recognition steps between ParR DNA-binding proteins and their parC binding sites. The ParR proteins bound to sequences within a parC site from the same ParMRC family, but could not interact with a parC site from a different ParMRC family. These data provide evidence that compatibility of the conjugative toxin plasmids of C. perfringens is mediated by their parMRC-like partitioning systems. This process provides a selective advantage by enabling the host bacterium to maintain separate plasmids that encode toxins that are specific for different host targets.

microbiology↗