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Hoggard, M.

Publications and source records attributed to Hoggard, M..

2 recordsLinked to original sources

Adaptations of DNA viruses are influenced by host and environment with proliferations constrained by environmental niche

Viruses are ubiquitous albeit individually constrained by host-range. Less well understood are environmental limitations on virus proliferation. To investigate estuarine viral diversity, niche constraints, and genomic traits of environmental adaptation, we analysed metagenomic and metatranscriptomic data from across an estuarine salinity gradient, including water and sediment habitats. We then expanded our analysis to globally distributed viral genomes. Viral distributions varied by estuary habitat, reflecting prokaryote community patterns, and highlighting that virus-host interactions are strongly influenced by environment. Viral lineages, up until approximately the rank of genus, were largely partitioned by ecological niche based on factors such as salinity and the aquatic-terrestrial divide. Across habitat boundaries, we identified variations in genomic GC content, and genomic signatures of salinity adaptation, particularly in virus major tail and capsid proteins. These included elevated ratios of acidic to basic amino acids and decreased protein isoelectric points at higher salinities which did not solely reflect biases inherited due to reliance on host machinery. Salinity is a well-described physiological stressor for prokaryotes. Results suggest that viruses employ some of the same osmoadaptive strategies independent of adaptation based on host machinery. Our findings indicate that, in addition to host range limitations, successful proliferation of viruses into distinct biomes (e.g. freshwater, saline, terrestrial) is constrained by adaptation to specific ecological niches.

microbiology↗

Comparison of subtyping approaches and the underlying drivers of microbial signatures for chronic rhinosinusitis

Chronic rhinosinusitis (CRS) is a heterogeneous condition characterised by persistent sinus inflammation and microbial dysbiosis. This study aimed to identify clinically relevant sub-groups of CRS patients based on distinct microbial signatures, with a comparison to the commonly used phenotypic subgrouping approach. The underlying drivers of these distinct microbial clusters were also investigated, together with associations with epithelial barrier integrity.\n\nSinus biopsies were collected from CRS patients (n=23), and disease controls (n=8). Expression of 42 tight junction genes was evaluated using quantitative PCR, together with microbiota analysis and immunohistochemistry for measuring mucosal integrity and inflammation.\n\nCRS patients clustered into two distinct microbial sub-groups using probabilistic modelling Dirichlet (DC) multinomial mixtures. DC1 exhibited significantly reduced bacterial diversity, increased dispersion, and was dominated by Pseudomonas, Haemophilus, and Achromobacter. DC2 had significantly elevated B-cells, incidence of nasal polyps, and higher numbers of Anaerococcus, Megasphaera, Prevotella, Atopobium, and Propionibacterium. In addition, each DC exhibited distinct tight junction gene and protein expression profiles compared with controls. Stratifying CRS patients based on clinical phenotypic subtypes (absence or presence of nasal polyps (CRSsNP or CRSwNP respectively) or with cystic fibrosis (CRSwCF)) did account for a larger proportion of the variation in the microbial dataset compared with DC groupings. However, no significant differences between CRSsNP and CRSwNP cohorts were observed for inflammatory markers, beta-dispersion and alpha diversity measures.\n\nIn conclusion, both approaches used for stratifying CRS patients had benefits and pitfalls, but DC clustering did provide greater resolution when studying tight junction impairment. Future studies in CRS should give careful consideration into the patient subtyping approach used.\n\nImportanceChronic rhinosinusitis (CRS) is a major human health problem that significantly reduces quality of life. While various microbes have been implicated, there is no clear understanding of the role they play in CRS pathogenesis. Another equally important observation made for CRS patients is that the epithelial barrier in the sino-nasal cavity is defective. Finding a robust approach to subtype CRS patients would be the first step towards unravelling the pathogenesis of this heterogeneous condition. Previous work has explored stratification based on clinical presentation of the disease (with or without polyps), inflammatory markers, pathology, or microbial composition. Comparing between the different stratification approaches used in these studies has not been possible due to different cohorts, analytical methods, or sample sites used. In this study, two approaches of subtyping CRS patients were compared and the underlying drivers of the heterogeneity in CRS were also explored.

microbiology↗