Biochemistry and Pharmacology - Research Publications

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    Unicycler: resolving bacterial genome assemblies from short and long sequencing reads
    Wick, R ; Judd, L ; Gorrie, C ; Holt, K ( 2016-12-22)
    The Illumina DNA sequencing platform generates accurate but short reads, which can be used to produce accurate but fragmented genome assemblies. Pacific Biosciences and Oxford Nanopore Technologies DNA sequencing platforms generate long reads that can produce more complete genome assemblies, but the sequencing is more expensive and error prone. There is significant interest in combining data from these complementary sequencing technologies to generate more accurate “hybrid” assemblies. However, few tools exist that truly leverage the benefits of both types of data, namely the accuracy of short reads and the structural resolving power of long reads. Here we present Unicycler, a new tool for assembling bacterial genomes from a combination of short and long reads, which produces assemblies that are accurate, complete and cost-effective. Unicycler builds an initial assembly graph from short reads using the de novo assembler SPAdes and then simplifies the graph using information from short and long reads. Unicycler utilises a novel semi-global aligner, which is used to align long reads to the assembly graph. Tests on both synthetic and real reads show Unicycler can assemble larger contigs with fewer misassemblies than other hybrid assemblers, even when long read depth and accuracy are low. Unicycler is open source (GPLv3) and available at github.com/rrwick/Unicycler .
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    Multidrug-Resistant Salmonella enterica, Serotype Typhi, Gulf of Guinea Region, Africa
    Baltazar, M ; Ngandjio, A ; Holt, KE ; Lepillet, E ; Pardos de la Gandara, M ; Collard, J-M ; Bercion, R ; Nzouankeu, A ; Le Hello, S ; Dougan, G ; Fonkoua, M-C ; Weill, F-X (CENTERS DISEASE CONTROL, 2015-04)
    We identified 3 lineages among multidrug-resistant (MDR) Salmonella enterica serotype Typhi isolates in the Gulf of Guinea region in Africa during the 2000s. However, the MDR H58 haplotype, which predominates in southern Asia and Kenya, was not identified. MDR quinolone-susceptible isolates contained a 190-kb incHI1 pST2 plasmid or a 50-kb incN pST3 plasmid.
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    The Infant Nasopharyngeal Microbiome Impacts Severity of Lower Respiratory Infection and Risk of Asthma Development
    Teo, SM ; Mok, D ; Pham, K ; Kusel, M ; Serralha, M ; Troy, N ; Holt, BJ ; Hales, BJ ; Walker, ML ; Hollams, E ; Bochkov, YA ; Grindle, K ; Johnston, SL ; Gern, JE ; Sly, PD ; Holt, PG ; Holt, KE ; Inouye, M (CELL PRESS, 2015-05-13)
    The nasopharynx (NP) is a reservoir for microbes associated with acute respiratory infections (ARIs). Lung inflammation resulting from ARIs during infancy is linked to asthma development. We examined the NP microbiome during the critical first year of life in a prospective cohort of 234 children, capturing both the viral and bacterial communities and documenting all incidents of ARIs. Most infants were initially colonized with Staphylococcus or Corynebacterium before stable colonization with Alloiococcus or Moraxella. Transient incursions of Streptococcus, Moraxella, or Haemophilus marked virus-associated ARIs. Our data identify the NP microbiome as a determinant for infection spread to the lower airways, severity of accompanying inflammatory symptoms, and risk for future asthma development. Early asymptomatic colonization with Streptococcus was a strong asthma predictor, and antibiotic usage disrupted asymptomatic colonization patterns. In the absence of effective anti-viral therapies, targeting pathogenic bacteria within the NP microbiome could represent a prophylactic approach to asthma.
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    Out-of-Africa migration and Neolithic coexpansion of Mycobacterium tuberculosis with modern humans
    Comas, I ; Coscolla, M ; Luo, T ; Borrell, S ; Holt, KE ; Kato-Maeda, M ; Parkhill, J ; Malla, B ; Berg, S ; Thwaites, G ; Yeboah-Manu, D ; Bothamley, G ; Mei, J ; Wei, L ; Bentley, S ; Harris, SR ; Niemann, S ; Diel, R ; Aseffa, A ; Gao, Q ; Young, D ; Gagneux, S (NATURE PUBLISHING GROUP, 2013-10)
    Tuberculosis caused 20% of all human deaths in the Western world between the seventeenth and nineteenth centuries and remains a cause of high mortality in developing countries. In analogy to other crowd diseases, the origin of human tuberculosis has been associated with the Neolithic Demographic Transition, but recent studies point to a much earlier origin. We analyzed the whole genomes of 259 M. tuberculosis complex (MTBC) strains and used this data set to characterize global diversity and to reconstruct the evolutionary history of this pathogen. Coalescent analyses indicate that MTBC emerged about 70,000 years ago, accompanied migrations of anatomically modern humans out of Africa and expanded as a consequence of increases in human population density during the Neolithic period. This long coevolutionary history is consistent with MTBC displaying characteristics indicative of adaptation to both low and high host densities.
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    Shigella sonnei genome sequencing and phylogenetic analysis indicate recent global dissemination from Europe
    Holt, KE ; Baker, S ; Weill, F-X ; Holmes, EC ; Kitchen, A ; Yu, J ; Sangal, V ; Brown, DJ ; Coia, JE ; Kim, DW ; Choi, SY ; Kim, SH ; da Silveira, WD ; Pickard, DJ ; Farrar, JJ ; Parkhill, J ; Dougan, G ; Thomson, NR (NATURE PORTFOLIO, 2012-09)
    Shigella are human-adapted Escherichia coli that have gained the ability to invade the human gut mucosa and cause dysentery(1,2), spreading efficiently via low-dose fecal-oral transmission(3,4). Historically, S. sonnei has been predominantly responsible for dysentery in developed countries but is now emerging as a problem in the developing world, seeming to replace the more diverse Shigella flexneri in areas undergoing economic development and improvements in water quality(4-6). Classical approaches have shown that S. sonnei is genetically conserved and clonal(7). We report here whole-genome sequencing of 132 globally distributed isolates. Our phylogenetic analysis shows that the current S. sonnei population descends from a common ancestor that existed less than 500 years ago and that diversified into several distinct lineages with unique characteristics. Our analysis suggests that the majority of this diversification occurred in Europe and was followed by more recent establishment of local pathogen populations on other continents, predominantly due to the pandemic spread of a single, rapidly evolving, multidrug-resistant lineage.
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    Identification of a marker for two lineages within the GC1 clone of Acinetobacter baumannii
    Hamidian, M ; Wynn, M ; Holt, KE ; Pickard, D ; Dougan, G ; Hall, RM (OXFORD UNIV PRESS, 2014-02)
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    Characterization of the yehUT Two-Component Regulatory System of Salmonella enterica Serovar Typhi and Typhimurium
    Wong, VK ; Pickard, DJ ; Barquist, L ; Sivaraman, K ; Page, AJ ; Hart, PJ ; Arends, MJ ; Holt, KE ; Kane, L ; Mottram, LF ; Ellison, L ; Bautista, R ; McGee, CJ ; Kay, SJ ; Wileman, TM ; Kenney, LJ ; MacLennan, CA ; Kingsley, RA ; Dougan, G ; Cloeckaert, A (PUBLIC LIBRARY SCIENCE, 2013-12-30)
    Proteins exhibiting hyper-variable sequences within a bacterial pathogen may be associated with host adaptation. Several lineages of the monophyletic pathogen Salmonella enterica serovar Typhi (S. Typhi) have accumulated non-synonymous mutations in the putative two-component regulatory system yehUT. Consequently we evaluated the function of yehUT in S. Typhi BRD948 and S. Typhimurium ST4/74. Transcriptome analysis identified the cstA gene, encoding a carbon starvation protein as the predominantly yehUT regulated gene in both these serovars. Deletion of yehUT had no detectable effect on the ability of these mutant Salmonella to invade cultured epithelial cells (S. Typhi and S. Typhimurium) or induce colitis in a murine model (S. Typhimurium only). Growth, metabolic and antimicrobial susceptibility tests identified no obvious influences of yehUT on these phenotypes.
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    A Bioinformatic Strategy for the Detection, Classification and Analysis of Bacterial Autotransporters
    Celik, N ; Webb, CT ; Leyton, DL ; Holt, KE ; Heinz, E ; Gorrell, R ; Kwok, T ; Naderer, T ; Strugnell, RA ; Speed, TP ; Teasdale, RD ; Likic, VA ; Lithgow, T ; Xu, Y (PUBLIC LIBRARY SCIENCE, 2012-08-14)
    Autotransporters are secreted proteins that are assembled into the outer membrane of bacterial cells. The passenger domains of autotransporters are crucial for bacterial pathogenesis, with some remaining attached to the bacterial surface while others are released by proteolysis. An enigma remains as to whether autotransporters should be considered a class of secretion system, or simply a class of substrate with peculiar requirements for their secretion. We sought to establish a sensitive search protocol that could identify and characterize diverse autotransporters from bacterial genome sequence data. The new sequence analysis pipeline identified more than 1500 autotransporter sequences from diverse bacteria, including numerous species of Chlamydiales and Fusobacteria as well as all classes of Proteobacteria. Interrogation of the proteins revealed that there are numerous classes of passenger domains beyond the known proteases, adhesins and esterases. In addition the barrel-domain-a characteristic feature of autotransporters-was found to be composed from seven conserved sequence segments that can be arranged in multiple ways in the tertiary structure of the assembled autotransporter. One of these conserved motifs overlays the targeting information required for autotransporters to reach the outer membrane. Another conserved and diagnostic motif maps to the linker region between the passenger domain and barrel-domain, indicating it as an important feature in the assembly of autotransporters.
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    Beginner's guide to comparative bacterial genome analysis using next-generation sequence data.
    Edwards, DJ ; Holt, KE (Springer Science and Business Media LLC, 2013-04-10)
    High throughput sequencing is now fast and cheap enough to be considered part of the toolbox for investigating bacteria, and there are thousands of bacterial genome sequences available for comparison in the public domain. Bacterial genome analysis is increasingly being performed by diverse groups in research, clinical and public health labs alike, who are interested in a wide array of topics related to bacterial genetics and evolution. Examples include outbreak analysis and the study of pathogenicity and antimicrobial resistance. In this beginner's guide, we aim to provide an entry point for individuals with a biology background who want to perform their own bioinformatics analysis of bacterial genome data, to enable them to answer their own research questions. We assume readers will be familiar with genetics and the basic nature of sequence data, but do not assume any computer programming skills. The main topics covered are assembly, ordering of contigs, annotation, genome comparison and extracting common typing information. Each section includes worked examples using publicly available E. coli data and free software tools, all which can be performed on a desktop computer.
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    WGS Analysis and Interpretation in Clinical and Public Health Microbiology Laboratories: What Are the Requirements and How Do Existing Tools Compare?
    Wyres, KL ; Conway, TC ; Garg, S ; Queiroz, C ; Reumann, M ; Holt, K ; Rusu, LI (MDPI, 2014-06)
    Recent advances in DNA sequencing technologies have the potential to transform the field of clinical and public health microbiology, and in the last few years numerous case studies have demonstrated successful applications in this context. Among other considerations, a lack of user-friendly data analysis and interpretation tools has been frequently cited as a major barrier to routine use of these techniques. Here we consider the requirements of microbiology laboratories for the analysis, clinical interpretation and management of bacterial whole-genome sequence (WGS) data. Then we discuss relevant, existing WGS analysis tools. We highlight many essential and useful features that are represented among existing tools, but find that no single tool fulfils all of the necessary requirements. We conclude that to fully realise the potential of WGS analyses for clinical and public health microbiology laboratories of all scales, we will need to develop tools specifically with the needs of these laboratories in mind.