Monitoring the spread of viral pathogens in the population during epidemics is crucial for mounting an effective public health response. Understanding the viral lineages that constitute the infections in a population can uncover the origins and transmission patterns of outbreaks and detect the emergence of novel variants that may impact the course of an epidemic. Population-level surveillance of viruses through genomic sequencing of wastewater captures unbiased lineage data, including cryptic asymptomatic and undiagnosed infections, and has been shown to detect infection outbreaks and novel variant emergence before detection in clinical samples. Here, we present an optimised protocol for quantification and sequencing of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in influent wastewater, used for high-throughput genomic surveillance in England during the COVID-19 pandemic. This protocol utilises reverse compliment PCR for library preparation, enabling tiled amplification across the whole viral genome and sequencing adapter addition in a single step to enhance efficiency. Sequencing of synthetic SARS-CoV-2 RNA provided evidence validating the efficacy of this protocol, while data from high-throughput sequencing of wastewater samples demonstrated the sensitivity of this method. We also provided guidance on the quality control steps required during library preparation and data analysis. Overall, this represents an effective method for high-throughput sequencing of SARS-CoV-2 in wastewater which can be applied to other viruses and pathogens of humans and animals.

Burkholderia pseudomallei is the causative agent of melioidosis, which is endemic primarily in Southeast Asia and northern Australia but is increasingly being seen in other tropical and subtropical regions of the world. Melioidosis is associated with high morbidity and mortality rates, which is mediated by the wide range of virulence factors encoded by B. pseudomallei. These virulence determinants include surface polysaccharides such as lipopolysaccharide (LPS) and capsular polysaccharides (CPS). Here, we investigated a predicted arabinose-5-phosphate isomerase (API) similar to KdsD in B. pseudomallei strain K96243. KdsD is required for the production of the highly conserved 3-deoxy-d-manno-octulosonic acid (Kdo), a key sugar in the core region of LPS. Recombinant KdsD was expressed and purified, and API activity was determined. Although a putative API paralogue (KpsF) is also predicted to be encoded, the deletion of kdsD resulted in growth defects, loss of motility, reduced survival in RAW 264.7 murine macrophages, and attenuation in a BALB/c mouse model of melioidosis. Suppressor mutations were observed during a phenotypic screen for motility, revealing single nucleotide polymorphisms or indels located in the poorly understood CPS type IV cluster. Crucially, suppressor mutations did not result in reversion of attenuation in vivo. This study demonstrates the importance of KdsD for B. pseudomallei virulence and highlights further the complex nature of the polysaccharides it produces. IMPORTANCE the intrinsic resistance of B. pseudomallei to many antibiotics complicates treatment. This opportunistic pathogen possesses a wide range of virulence factors, resulting in severe and potentially fatal disease. Virulence factors as targets for drug development offer an alternative approach to combat pathogenic bacteria. Prior to initiating early drug discovery approaches, it is important to demonstrate that disruption of the target gene will prevent the development of disease. This study highlights the fact that KdsD is crucial for virulence of B. pseudomallei in an animal model of infection and provides supportive phenotypic characterization that builds a foundation for future therapeutic development.

Background: There is growing evidence for the role of DNA methylation in regulating the transcription of mitochondrial genes, particularly in neurodegenerative disorders characterized by mitochondrial dysfunction including Alzheimer’s disease (AD). However, to date, a cross-comparative analysis of the mitochondrial DNA methylome in neurodegenerative disorders has yet to be undertaken. Method: Here, we present an interrogation of the mitochondrial DNA methylome at single base resolution, using pyrosequencing, across different types of neurodegenerative disorders. We performed a targeted study design to investigate the D-Loop methylation of the mtDNA in the entorhinal cortex (EC) for a pilot cohort of 26 AD, 22 Dementia with Lewy bodies (DLB) and 26 control samples, matched as closely as possible for age and sex. This research forms the basis of a larger study which will compare D-Loop methylation in several brain regions including the EC, superior temporal gyrus and cerebellum in AD, DLB, Vascular dementia, Huntington’s (HD) and Parkinson’s disease (PD) samples. The striatum and substantia nigra, will also be analyzed in the HD and PD samples respectively. Result: We have identified DNA methylation differences at the D-Loop in different neurodegenerative diseases. In particular, we have found two statistically significant sites that show a decrease in percentage methylation of approximately 4% and 3% in the EC of the DLB brain samples compared to controls. Conclusion: We have discovered differences in DNA methylation across the mitochondrial genome between different types of neurodegenerative disorders in human brain samples using pyrosequencing. Moving forward we will take this approach and expand into the larger cohort to further investigate the role of mitochondrial epigenetic mechanisms in neurodegenerative disorders.

Using the self-fertilizing mangrove killifish, we characterized two mutants, shorttail (stl) and balltail (btl). These mutants showed abnormalities in the posterior notochord and muscle development. Taking advantage of a highly inbred isogenic strain of the species, we rapidly identified the mutated genes, noto and msgn1 in the stl and btl mutants, respectively, using a single lane of RNA sequencing without the need of a reference genome or genetic mapping techniques. Next, we confirmed a conserved morphant phenotype in medaka and demonstrate a crucial role of noto and msgn1 in cell sorting between the axial and paraxial part of the tail mesoderm. This novel system could substantially accelerate future small-scale forward-genetic screening and identification of mutations. Therefore, the mangrove killifish could be used as a complementary system alongside existing models for future molecular genetic studies.

Alzheimer's disease (AD) is associated with the intracellular aggregation of hyperphosphorylated tau and the accumulation of β-amyloid in the neocortex. We use transgenic mice harboring human tau (rTg4510) and amyloid precursor protein (J20) mutations to investigate transcriptional changes associated with the progression of tau and amyloid pathology. rTg4510 mice are characterized by widespread transcriptional differences in the entorhinal cortex with changes paralleling neuropathological burden across multiple brain regions. Differentially expressed transcripts overlap with genes identified in genetic studies of familial and sporadic AD. Systems-level analyses identify discrete co-expression networks associated with the progressive accumulation of tau that are enriched for genes and pathways previously implicated in AD pathology and overlap with co-expression networks identified in human AD cortex. Our data provide further evidence for an immune-response component in the accumulation of tau and reveal molecular pathways associated with the progression of AD neuropathology.

BACKGROUND: Coxiella burnetii is a zoonotic pathogen that resides in wild and domesticated animals across the globe and causes a febrile illness, Q fever, in humans. An improved understanding of the genetic diversity of C. burnetii is essential for the development of diagnostics, vaccines and therapeutics, but genotyping data is lacking from many parts of the world. Sporadic outbreaks of Q fever have occurred in the United Kingdom, but the local genetic make-up of C. burnetii has not been studied in detail. RESULTS: Here, we report whole genome data for nine C. burnetii sequences obtained in the UK. All four genomes of C. burnetii from cattle, as well as one sheep sample, belonged to Multi-spacer sequence type (MST) 20, whereas the goat samples were MST33 (three genomes) and MST32 (one genome), two genotypes that have not been described to be present in the UK to date. We established the phylogenetic relationship between the UK genomes and 67 publically available genomes based on single nucleotide polymorphisms (SNPs) in the core genome, which confirmed tight clustering of strains within genomic groups, but also indicated that sub-groups exist within those groups. Variation is mainly achieved through SNPs, many of which are non-synonymous, thereby confirming that evolution of C. burnetii is based on modification of existing genes. Finally, we discovered genomic-group specific genome content, which supports a model of clonal expansion of previously established genotypes, with large scale dissemination of some of these genotypes across continents being observed. CONCLUSIONS: the genetic make-up of C. burnetii in the UK is similar to the one in neighboring European countries. As a species, C. burnetii has been considered a clonal pathogen with low genetic diversity at the nucleotide level. Here, we present evidence for significant variation at the protein level between isolates of different genomic groups, which mainly affects secreted and membrane-associated proteins. Our results thereby increase our understanding of the global genetic diversity of C. burnetii and provide new insights into the evolution of this emerging zoonotic pathogen.

Frequent and persistent heavy metal pollution has profound effects on the composition and activity of microbial communities. Heavy metals select for metal resistance but can also co-select for resistance to antibiotics, which is a global health concern. We here document metal concentration, metal resistance and antibiotic resistance along a sediment archive from a pond in the North West of the United Kingdom covering over a century of anthropogenic pollution. We specifically focus on zinc, as it is a ubiquitous and toxic metal contaminant known to co-select for antibiotic resistance, to assess the impact of temporal variation in heavy metal pollution on microbial community diversity and to quantify the selection effects of differential heavy metal exposure on antibiotic resistance. Zinc concentration and bioavailability was found to vary over the core, likely reflecting increased industrialisation around the middle of the 20th century. Zinc concentration had a significant effect on bacterial community composition, as revealed by a positive correlation between the level of zinc tolerance in culturable bacteria and zinc concentration. The proportion of zinc resistant isolates was also positively correlated with resistance to three clinically relevant antibiotics (oxacillin, cefotaxime and trimethoprim). The abundance of the class 1 integron-integrase gene, intI1, marker for anthropogenic pollutants correlated with the prevalence of zinc- and cefotaxime resistance but not with oxacillin and trimethoprim resistance. Our microbial palaeontology approach reveals that metal-contaminated sediments from depths that pre-date the use of antibiotics were enriched in antibiotic resistant bacteria, demonstrating the pervasive effects of metal-antibiotic co-selection in the environment.

We present raw sequence reads and genome assemblies derived from 17 accessions of the Ethiopian orphan crop plant enset (Ensete ventricosum (Welw.) Cheesman) using the Illumina HiSeq and MiSeq platforms. Also presented is a catalogue of single-nucleotide polymorphisms inferred from the sequence data at an average density of approximately one per kilobase of genomic DNA.

Here, we present the genome sequence of Staphylococcus aureus Ex1, isolated in 2015 from a patient with spinal osteomyelitis at the Royal Devon and Exeter Hospital in the United Kingdom. The availability of the Ex1 genome sequence provides a resource for studying the basis for spinal infection and horizontal gene transfer in S. aureus.

While Pseudomonas aeruginosa (PA) cross-infection is well documented among patients with cystic fibrosis (CF), the equivalent risk among patients with non-CF bronchiectasis (NCFB) is unclear, particularly those managed alongside patients with CF. We performed analysis of PA within a single centre that manages an unsegregated NCFB cohort alongside a segregated CF cohort. We found no evidence of cross-infection between the two cohorts or within the segregated CF cohort. However, within the unsegregated NCFB cohort, evidence of cross-infection was found between three (of 46) patients. While we do not presently advocate any change in the management of our NCFB cohort, longitudinal surveillance is clearly warranted.

The Oxford Nanopore Technologies (ONT) MinION is a new sequencing technology that potentially offers read lengths of tens of kilobases (kb) limited only by the length of DNA molecules presented to it. The device has a low capital cost, is by far the most portable DNA sequencer available, and can produce data in real-time. It has numerous prospective applications including improving genome sequence assemblies and resolution of repeat-rich regions. Before such a technology is widely adopted, it is important to assess its performance and limitations in respect of throughput and accuracy. In this study we assessed the performance of the MinION by re-sequencing three bacterial genomes, with very different nucleotide compositions ranging from 28.6% to 70.7%; the high G. +. C strain was underrepresented in the sequencing reads. We estimate the error rate of the MinION (after base calling) to be 38.2%. Mean and median read lengths were 2. kb and 1. kb respectively, while the longest single read was 98. kb. The whole length of a 5. kb rRNA operon was covered by a single read. As the first nanopore-based single molecule sequencer available to researchers, the MinION is an exciting prospect; however, the current error rate limits its ability to compete with existing sequencing technologies, though we do show that MinION sequence reads can enhance contiguity of de novo assembly when used in conjunction with Illumina MiSeq data.

Here we present draft-quality genome sequence assemblies for the oomycete Phytophthora ramorum genetic lineage EU2. We sequenced genomes of seven isolates collected in Northern Ireland between 2010 and 2012. Multiple genome sequences from P. ramorum EU2 will be valuable for identifying genetic variation within the clonal lineage that can be useful for tracking its spread.

In the world of high-throughput sequencing there are numerous challenges to effective data quality control. There are no single quality metrics which are appropriate in all conditions. Here we detail the different open source software used at the Exeter Sequencing Service to provide generic quality control information, as well as more specific metrics for genomic and transcriptomic libraries run on Illumina platforms.

Phytophthora lateralis is a fungus-like (oomycete) pathogen of trees in the family Cupressaceae, including Chamaecyparis lawsoniana (Lawson cypress or Port Orford cedar). Known in North America since the 1920s, presumably having been accidentally introduced from its assumed East Asian centre of origin, until recently, this pathogen has not been identified causing disease in Europe except for a few isolated outbreaks. However, since 2010, there have been several reports of infection of C. lawsoniana by P. lateralis in the United Kingdom, including Northern Ireland. We sequenced the genomes of four isolates of P. lateralis from two sites in Northern Ireland in 2011. Comparison with the closely related tree and shrub pathogen P. ramorum (cause of ramorum disease of larch and other species in the UK) shows that P. lateralis shares 91.47% nucleotide sequence identity over the core conserved compartments of the genome. The genomes of the four Northern Ireland isolates are almost identical, but we identified several single-nucleotide polymorphisms (SNPs) that distinguish between isolates, thereby presenting potential molecular markers of use for tracking routes of spread and in epidemiological studies. Our data reveal very low rates of heterozygosity (compared with P. ramorum), consistent with inbreeding within this P. lateralis population. © 2013 Federation of European Microbiological Societies. Published by John Wiley & Sons Ltd.

Phytophthora lateralis is a fungus-like (oomycete) pathogen of trees in the family Cupressaceae, including Chamaecyparis lawsoniana (Lawson cypress or Port Orford cedar). Known in North America since the 1920s, presumably having been accidentally introduced from its assumed East Asian centre of origin, until recently, this pathogen has not been identified causing disease in Europe except for a few isolated outbreaks. However, since 2010, there have been several reports of infection of C. lawsoniana by P. lateralis in the United Kingdom, including Northern Ireland. We sequenced the genomes of four isolates of P. lateralis from two sites in Northern Ireland in 2011. Comparison with the closely related tree and shrub pathogen P. ramorum (cause of ramorum disease of larch and other species in the UK) shows that P. lateralis shares 91.47% nucleotide sequence identity over the core conserved compartments of the genome. The genomes of the four Northern Ireland isolates are almost identical, but we identified several single-nucleotide polymorphisms (SNPs) that distinguish between isolates, thereby presenting potential molecular markers of use for tracking routes of spread and in epidemiological studies. Our data reveal very low rates of heterozygosity (compared with P. ramorum), consistent with inbreeding within this P. lateralis population.