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Animal bacterial symbioses are pervasive and underlie the success of many groups. Here, I study ecological and evolutionary factors that shape interactions between a host and gut associates. In this dissertation, I interrogate interactions between the carpenter ant (Camponotus) and its associated gut microbiota to ask the following questions: What are the resident microbiota of the Camponotine gastrointestinal tract? How does persistent gut association affect rates of molecular evolution in gut symbionts? How are gut microbiota transmitted between social hosts? How does gut community composition and structure vary across host development? What evolutionary factors facilitate adaptation to the gut? How do the genomes of gut associates respond to selective pressures associated with persistent gut habitation? I use a combination of next generation sequencing, anaerobic isolate culturing, computational modeling, and comparative genomics to illustrate evolutionary consequences of persistent host association on the genomes of gut associates. In chapter one, I characterize the gut community of C. chromaiodes and describe two novel lineages in the Acetobacteraceae (AAB). I demonstrate rapid evolutionary rates, deleterious evolution at 16S rRNA, and deep divergence of a monophyletic clade of ant associated AAB. In chapter two, I design a novel molecular tool to prevent amplification of nontarget DNA in 16S based community screens. I then use this tool to characterize the gut microbiota of C. chromaiodes across several developmental stages and incipient colonies. I argue that highly similar bacterial profiles between a colony queen and offspring are indicative of reliable vertical transmission of gut bacteria. In chapter three, I isolate and culture two strains of AAB gut associates from C. chromaiodes, as well as an associate in the Lactobacillaceae, and perform whole genome sequencing. I use comparative genomic analyses to delineate patterns of genomic erosion and rampant horizontal gene transfer on AAB gut isolates that lead to genomes with mosaic metabolic pathways. Taken together, this dissertation establishes a new model system for assessing evolutionary consequences of symbioses with gut bacteria. These results provide novel insights into the repercussions of bacterial adaptation to a host gut tract. They establish a foundation to interrogate questions unique to persistent extracellular gut symbionts. Finally, they delineate distinct forces shaping the functional capacity of symbiont genomes: gene loss through reductive evolution and gene acquisition via horizontal transfer from diverse community members.

In response to the SARS-CoV-2 pandemic many vaccines have been developed and evaluated in human clinical trials. The humoral immune response magnitude, composition and efficacy of neutralizing SARS-CoV-2 are essential endpoints for these trials. Robust assays that are reproducibly precise, linear, and specific for SARS-CoV-2 antigens would be beneficial for the vaccine pipeline. In this work we describe the methodologies and clinical qualification of three SARS-CoV-2 endpoint assays. We developed and qualified Endpoint titer ELISAs for total IgG, IgG1, IgG3, IgG4, IgM and IgA to evaluate the magnitude of specific responses to the trimeric spike (S) antigen and total IgG specific to the spike receptor binding domain (RBD) of SARS-CoV-2. We also qualified a pseudovirus neutralization assay which evaluates functional antibody titers capable of inhibiting the entry and replication of a lentivirus containing the Spike antigen of SARS-CoV-2. To complete the suite of assays we qualified a plaque reduction neutralization test (PRNT) methodology using the 2019-nCoV/USA-WA1/2020 isolate of SARS-CoV-2 to assess neutralizing titers of antibodies in plasma from normal healthy donors and convalescent COVID-19 individuals.

crAssphages are a class of bacteriophages that are highly abundant in the human gastrointestinal tract. Accordingly, crAssphage genomes have been identified in most human fecal viral metagenome studies. However, we currently have an incomplete understanding of factors impacting the transmission frequencies of these phages between mothers and infants, and the evolutionary pressures associated with such transmissions. Here, we use metagenome sequencing of stool-associated virus-like particles to identify the prevalence of crAssphage across ten South African mother-infant dyads that are discordant for HIV infection. We report the identification of a complete 97kb crAssphage genome, parts of which are detected at variable levels across each mother-infant dyad. We observed average nucleotide sequence identities of >99% for crAssphages from related mother-infant pairs but ~97% identities between crAssphages from unrelated mothers and infants: a finding strongly suggestive of vertical mother to infant transmission. We further analyzed patterns of nucleotide diversity across the crAssphage sequences described here, identifying particularly elevated positive selection in RNA polymerase and phage tail protein encoding genes, which we validated against a crAssphage genome from previous studies. Using 16S rRNA gene sequencing, we found that the relative abundances of Bacteroides thetaiotaomicron and Parabacteroides merdae (Order: Bacteroidales) were differentially correlated with crAssphage abundance. Together, our results reveal that crAssphages may be vertically transmitted from mothers to their infants and that hotspots of selection within crAssphage RNA polymerase and phage tail protein encoding genes are potentially mediated by interactions between crAssphages and their bacterial partners.

Background NHS dentistry is experiencing significant recruitment and retention challenges, particularly in rural, coastal, and deprived urban areas. Issues have been exacerbated by the Covid-19 pandemic, leading to unequal distribution of dental professionals across UK geographies. Despite workforce policy initiatives, issues persist. This study explores factors influencing workforce sustainability in the North East of England – an under-served region of the UK. Methods Forty-six participants, including 30 dentists, 3 dental care professionals, and 13 managers, contributed to this study. Four focus groups were held at two events in July 2023 – one in the north of the region, and one in the south to enable broad stakeholder engagement and reflect the different geographies within the region. These groups generated qualitative data to elaborate on the factors influencing workforce sustainability and ideas for change. Analysis involved a codebook approach to thematic analysis. Results Thematic analysis identified four key factors influencing workforce sustainability: careers, collaboration, costs, and contentment. Career development in a supportive learning environment was essential for professional growth and retention, yet systemic barriers hindered progression. Collaboration, both within dental teams and across regulatory bodies, played a vital role in improving job satisfaction and service delivery, but fragmented communication remained a challenge. Financial pressures, particularly rigid NHS contracts and inadequate remuneration, emerged as significant concerns impacting recruitment and retention. Contentment was shaped by work-life balance, professional recognition, and the ability to provide high-quality care without excessive bureaucracy. These systemic challenges collectively contribute to workforce instability, particularly in the North East. Conclusion Findings highlight critical systemic barriers that threaten workforce sustainability in NHS dentistry. Addressing career progression pathways, improving collaboration, reforming contracts, and enhancing professional support systems are essential for sector stability. Without coordinated action from employers and policymakers, NHS dentistry will remain unsustainable, necessitating urgent interventions to support workforce retention and service provision.

Antiviral medication has emerged as an important tool in the prevention of HIV infection. In this randomized, controlled trial, an injectable long-acting agent, cabotegravir, was found to be superior to daily oral tenofovir disoproxil fumarate–emtricitabine in preventing incident HIV infection in cisgender men and transgender women who have sex with men.

When addressing the urgent task of improving vaccine supply chains, especially to accommodate the introduction of new vaccines, there is often a heavy emphasis on stationary storage. Currently, donations to vaccine supply chains occur largely in the form of storage equipment. This study utilized a HERMES-generated detailed, dynamic, discrete event simulation model of the Niger vaccine supply chain to compare the impacts on vaccine availability of adding stationary cold storage versus transport capacity at different levels and to determine whether adding stationary storage capacity alone would be enough to relieve potential bottlenecks when pneumococcal and rotavirus vaccines are introduced by 2015. Relieving regional level storage bottlenecks increased vaccine availability (by 4%) more than relieving storage bottlenecks at the district (1% increase), central (no change), and clinic (no change) levels alone. Increasing transport frequency (or capacity) yielded far greater gains (e.g., 15% increase in vaccine availability when doubling transport frequency to the district level and 18% when tripling). In fact, relieving all stationary storage constraints could only increase vaccine availability by 11%, whereas doubling the transport frequency throughout the system led to a 26% increase and tripling the frequency led to a 30% increase. Increasing transport frequency also reduced the amount of stationary storage space needed in the supply chain. The supply chain required an additional 61,269L of storage to relieve constraints with the current transport frequency, 55,255L with transport frequency doubled, and 51,791L with transport frequency tripled. When evaluating vaccine supply chains, it is important to understand the interplay between stationary storage and transport. The HERMES-generated dynamic simulation model showed how augmenting transport can result in greater gains than only augmenting stationary storage and can reduce stationary storage needs.

Aim We developed a new technique, utilizing species‐specific counts of individuals from historical fish community samples, to examine landscape‐level, spatio‐temporal trends in relative abundance distributions. Abundance‐based historical distribution analyses are often plagued by data comparability issues, but provide critical information about community composition trends inaccessible to those using analyses based only on species presence–absence. We established trends in native and non‐native fish abundance and community homogenization, uniqueness and diversity to help local conservation managers prioritize targets and motivate similar studies globally to support fish conservation. Location Upper and middle New River (UMNR) basin, Appalachian Mountains, USA. Methods We compiled catch data from 61 years of fish community surveys (1958–2019) and tested for community homogenization by comparing data from repeatedly sampled sites (1900s versus 2000s samples) using dispersion analyses. We measured community uniqueness (site contributions to beta diversity) and species diversity (Shannon index) at sampled streams to identify potential conservation hotspots. We then used regression analyses and Wilcoxon signed‐rank tests to examine species‐specific basin‐wide and local abundance trends and identify species of potential conservation concern. Results Dispersion of sites in species abundance space was significantly greater in the 1900s compared with the 2000s, indicating homogenization had occurred. Of 36 native species analysed, 44.4% (16) showed basin‐wide declines. Non‐native species exhibited mixed patterns; site‐level abundance increased in 2 of 15 species analysed (13%). Main conclusions Our results indicate basin‐wide community homogenization has occurred within the UMNR, but many unique and diverse communities persist. If conserved, these could help maintain regional fish diversity. We found basin‐wide declines in four endemic species, as well as spread patterns of non‐native and native species that were not detected by a presence–absence analysis applied within the same study area. This finding illustrates the importance of considering both species’ abundance and occurrence patterns as separate dimensions of biodiversity to inform conservation planning.

Scalable, integrative methods to understand mechanisms that link genetic variants with phenotypes are needed. Here we derive a mathematical expression to compute PrediXcan (a gene mapping approach) results using summary data (S-PrediXcan) and show its accuracy and general robustness to misspecified reference sets. We apply this framework to 44 GTEx tissues and 100+ phenotypes from GWAS and meta-analysis studies, creating a growing public catalog of associations that seeks to capture the effects of gene expression variation on human phenotypes. Replication in an independent cohort is shown. Most of the associations are tissue specific, suggesting context specificity of the trait etiology. Colocalized significant associations in unexpected tissues underscore the need for an agnostic scanning of multiple contexts to improve our ability to detect causal regulatory mechanisms. Monogenic disease genes are enriched among significant associations for related traits, suggesting that smaller alterations of these genes may cause a spectrum of milder phenotypes. Phenotypic variation and diseases are influenced by factors such as genetic variants and gene expression. Here, Barbeira et al. develop S-PrediXcan to compute PrediXcan results using summary data, and investigate the effects of gene expression variation on human phenotypes in 44 GTEx tissues and >100 phenotypes.

An estimated 30 million passengers are transported on 272 cruise ships worldwide each year* (1). Cruise ships bring diverse populations into proximity for many days, facilitating transmission of respiratory illness (2). SARS-CoV-2, the virus that causes coronavirus disease (COVID-19) was first identified in Wuhan, China, in December 2019 and has since spread worldwide to at least 187 countries and territories. Widespread COVID-19 transmission on cruise ships has been reported as well (3). Passengers on certain cruise ship voyages might be aged ≥65 years, which places them at greater risk for severe consequences of SARS-CoV-2 infection (4). During February-March 2020, COVID-19 outbreaks associated with three cruise ship voyages have caused more than 800 laboratory-confirmed cases among passengers and crew, including 10 deaths. Transmission occurred across multiple voyages of several ships. This report describes public health responses to COVID-19 outbreaks on these ships. COVID-19 on cruise ships poses a risk for rapid spread of disease, causing outbreaks in a vulnerable population, and aggressive efforts are required to contain spread. All persons should defer all cruise travel worldwide during the COVID-19 pandemic.

Matthew Brown and colleagues identify multiple susceptibility variants for ankylosing spondylitis through an association study based on high-density genotyping of immune-related loci. Their findings implicate numerous biological pathways in the pathogenesis of this disease and highlight shared risk factors with other autoimmune diseases. Ankylosing spondylitis is a common, highly heritable inflammatory arthritis affecting primarily the spine and pelvis. In addition to HLA-B*27 alleles, 12 loci have previously been identified that are associated with ankylosing spondylitis in populations of European ancestry, and 2 associated loci have been identified in Asians. In this study, we used the Illumina Immunochip microarray to perform a case-control association study involving 10,619 individuals with ankylosing spondylitis (cases) and 15,145 controls. We identified 13 new risk loci and 12 additional ankylosing spondylitis–associated haplotypes at 11 loci. Two ankylosing spondylitis–associated regions have now been identified encoding four aminopeptidases that are involved in peptide processing before major histocompatibility complex (MHC) class I presentation. Protective variants at two of these loci are associated both with reduced aminopeptidase function and with MHC class I cell surface expression.