Search

There is a critical need in animal agriculture to develop novel antimicrobials and alternative strategies that will help to reduce the use of antibiotics and address the challenges of antimicrobial resistance. High-throughput gene expression analysis is providing new tools that are enabling the discovery of host-derived antimicrobial peptides. Examples of gene-encoded natural antibiotics that have gained attention include antimicrobial peptides such as human granulysin and its multi-species homolog, namely NK-lysin, which provide a protective response against a broad range of microbes and are a principal component of innate immunity in vertebrates. Both granulysin and NK-lysin are localised in cytolytic granules in natural killer and cytotoxic T lymphocytes. Host-derived NK-lysins that were first described in mammals are also found in avian species, and they have been shown to have antimicrobial activities that could potentially be used to control important poultry pathogens. Morphological alterations observed following chicken NK-lysin binding to Eimeria sporozoites and Escherichia coli membranes indicate damage and disruption of cell membranes, suggesting that NK-lysin kills pathogenic protozoans and bacteria by direct interaction. Genotype analysis revealed that chicken NK-lysin peptides derived from certain alleles were more effective at killing pathogens than those derived from others, which could potentially affect susceptibility to diseases. Although the host-derived antimicrobial peptides described in this paper may not, by themselves, be able to replace the antibiotics currently used in animal production, their use as specific treatments based on their known mechanisms of action is showing promising results.

Next-generation sequencing (NGS), also referred to as deep, high-throughput or massively parallel sequencing, is a powerful new tool that can be used for the complex diagnosis and intensive monitoring of infectious disease in veterinary medicine. NGS technologies are also being increasingly used to study the aetiology, genomics, evolution and epidemiology of infectious disease, as well as host-pathogen interactions and other aspects of infection biology. This review briefly summarises recent progress and achievements in this field by first introducing a range of novel techniques and then presenting examples of NGS applications in veterinary infection biology. Various work steps and processes for sampling and sample preparation, sequence analysis and comparative genomics, and improving the accuracy of genomic prediction are discussed, as are bioinformatics requirements. Examples of sequencing-based applications and comparative genomics in veterinary medicine are then provided. This review is based on novel references selected from the literature and on experiences of the World Organisation for Animal Health (OIE) Collaborating Centre for the Biotechnology-based Diagnosis of Infectious Diseases in Veterinary Medicine, Uppsala, Sweden.

Viral genome sequencing has become the cornerstone of almost all aspects of virology. In particular, high-throughput, next-generation viral genome sequencing has become an integral part of molecular epidemiological investigations into outbreaks of viral disease, such as the recent outbreaks of Middle Eastern respiratory syndrome, Ebola virus disease and Zika virus infection. Multiple institutes have acquired the expertise and necessary infrastructure to perform such investigations, as evidenced by the accumulation of thousands of novel viral sequences over progressively shorter time periods. The authors recently proposed a nomenclature comprised of five high-throughput sequencing standard categories to describe the quality of determined viral genome sequences. These five categories (standard draft, high quality, coding complete, complete and finished) cover all levels of viral genome finishing and can be applied to sequences determined by any technology platform or assembly technique.

Natural virus reservoirs such as wild bats, birds, rodents and non-human primates are generally non-model organisms that have, until recently, presented limited opportunities for in-depth study. Next-generation sequencing provides a way to partially circumvent this limitation, since the methods required for data acquisition and analysis are largely species-independent. Comparative genomics and other 'omics' provide new opportunities to study the structure and function of various biological systems of wild species that are otherwise out of reach. Genomes of natural reservoir hosts can help to identify dominant pathways of virus-host interaction and to reveal differences between susceptible and resistant organisms, populations and species. This is of great scientific interest and may also provide a resource for the rational design of treatments for viral diseases in humans and livestock. In this way, we will 'learn from nature' and one day apply this knowledge to create disease-resistant livestock or develop novel therapeutic and prevention strategies. Reservoir host genomics will also open up possibilities for developing novel vaccines for wildlife, aid in the development of new diagnostic platforms, and have broad implications for developmental and evolutionary biology. In this review, the authors focus on natural reservoir hosts of viral pathogens, although most of the discussion points should be equally applicable to natural reservoirs of pathogenic bacteria, fungi or other parasites.

Global changes linked to increases in temperature and ocean acidification, but also to more direct anthropogenic influences such as aquaculture, have caused a worldwide increase in the reports of Vibrio-associated illnesses affecting humans and also animals such as shrimp and molluscs. Investigation of the emergence of Vibrio pathogenesis events requires the analysis of microbial evolution at the gene, genome and population levels, in order to identify genomic modifications linked to increased virulence, resistance and/or prevalence, or to recent host shift. From a more applied point of view, the elucidation of virulence mechanisms is a prerequisite to devising prophylactic methods to fight infectious agents. In comparison with human pathogens, fairly little is known about the requirements for virulence in vibrios pathogenic to animals. However, the advent of genome sequencing, especially next-generation technologies, the possibility of genetically manipulating most of the Vibrio strains, and the recent availability of standardised animals for experimental infections have now compensated for the considerable delay in advancement of the knowledge of non-model pathogens such as Vibrio and have led to new scientific questions.

Factors such as globalisation, climate change and agricultural intensification can increase the risk of microbial emergence. As a result, there is a growing need for flexible laboratory-based surveillance tools to rapidly identify, characterise and monitor global (re-)emerging diseases. Although many tools are available, novel sequencing technologies have launched a new era in pathogen surveillance. Here, the authors review the potential applications of high-throughput genomic technologies for the surveillance of veterinary pathogens. They focus on the two types of surveillance that will benefit most from these new tools: hazard-specific surveillance (pathogen identification and typing) and early-warning surveillance (pathogen discovery). The paper reviews how the resulting sequencing data can be used to improve diagnosis and concludes by highlighting the major challenges that hinder the routine use of this technology in the veterinary field.

Avian pathogens are responsible for major costs to society, both in terms of huge economic losses to the poultry industry and their implications for human health. The health and welfare of millions of birds is under continued threat from many infectious diseases, some of which are increasing in virulence and thus becoming harder to control, such as Marek's disease virus and avian influenza viruses. The current era in animal genomics has seen huge developments in both technologies and resources, which means that researchers have never been in a better position to investigate the genetics of disease resistance and determine the underlying genes/mutations which make birds susceptible or resistant to infection. Avian genomics has reached a point where the biological mechanisms of infectious diseases can be investigated and understood in poultry and other avian species. Knowledge of genes conferring disease resistance can be used in selective breeding programmes or to develop vaccines which help to control the effects of these pathogens, which have such a major impact on birds and humans alike.

Since the advent of next-generation sequencing (NGS) technologies, the untargeted screening of samples from outbreaks for pathogen identification using metagenomics has become technically and economically feasible. However, various aspects need to be considered in order to exploit the full potential of NGS for virus discovery. Here, the authors summarise those aspects of the main steps that have a significant impact, from sample selection through sample handling and processing, as well as sequencing and finally data analysis, with a special emphasis on existing pitfalls.

The field of viral genomics and bioinformatics is experiencing a strong resurgence due to high-throughput sequencing (HTS) technology, which enables the rapid and cost-effective sequencing and subsequent assembly of large numbers of viral genomes. In addition, the unprecedented power of HTS technologies has enabled the analysis of intra-host viral diversity and quasispecies dynamics in relation to important biological questions on viral transmission, vaccine resistance and host jumping. HTS also enables the rapid identification of both known and potentially new viruses from field and clinical samples, thus adding new tools to the fields of viral discovery and metagenomics. Bioinformatics has been central to the rise of HTS applications because new algorithms and software tools are continually needed to process and analyse the large, complex datasets generated in this rapidly evolving area. In this paper, the authors give a brief overview of the main bioinformatics tools available for viral genomic research, with a particular emphasis on HTS technologies and their main applications. They summarise the major steps in various HTS analyses, starting with quality control of raw reads and encompassing activities ranging from consensus and de novo genome assembly to variant calling and metagenomics, as well as RNA sequencing.

The emergence of Middle East respiratory syndrome (MERS) and the discovery of MERS coronavirus (MERS-CoV) in 2012 suggests that another SARS-like epidemic is occurring. Unlike the severe acute respiratory syndrome (SARS) epidemic, which rapidly disappeared in less than one year, MERS has persisted for over three years. More than 1,600 cases of MERS have been reported worldwide, and the disease carries a worryingly high fatality rate of >30%. A total of 182 MERS-CoV genomes have been sequenced, including 94 from humans and 88 from dromedary camels. The 182 genomes all share >99% identity, indicating minimal variation among MERS-CoV genomes. MERS-CoV is a lineage C Betacoronavirus (ßCoV). MERS-CoV genomes can be roughly divided into two clades: clade A, which contains only a few strains, and clade B, to which most strains belong. In contrast to ORF1ab and structural proteins, the putative proteins encoded by ORF3, ORF4a, ORF4b, ORF5 and ORF8b in the MERS-CoV genome do not share homology with any known host or virus protein, other than those of its closely related lineage C ßCoVs. Human and dromedary viral genomes have intermingled, indicating that multiple camel-to-human transmission events have occurred. The multiple origins of MERS-CoV suggest that the virus has been resident in dromedaries for many years. This is consistent with the detection of anti-MERS-CoV antibodies in dromedary camels as early as the 1980s.

The control of any infectious disease of livestock is made more difficult by the presence of a wildlife reservoir, as the reservoir is often poorly observed and difficult to manage. This problem is particularly acute for bovine tuberculosis (bTB) because the long duration of infection and low levels of infectiousness make tracing the sources of infection difficult. For over 30 years, the process of contact tracing has been aided by the exploitation of molecular markers in the pathogen, but this has largely only been capable of characterising broad associations between large communities of similar types. However, the recent advent of mass high-throughput 'whole-genome' sequencing (WGS) has revolutionised forensic epidemiology for other diseases, and now it has the potential to do so for bTB. In this review, the authors consider the historical context of WGS use and look at what prior molecular techniques have already achieved. They outline the key approaches to interpreting WGS data and consider both the role of advanced analytical techniques that exploit the evolutionary and epidemiological properties of the system and the problems associated with quantifying the role of hidden reservoirs of disease. Finally, they consider the particular difficulties associated with developing this technology for routine diagnostics and its potential for mass use.

Recent advances in the technologies for genomic sequencing and systems for handling and processing sequencing data have transformed bacterial genomics into a near-routine approach for both small- and large-scale investigations of infectious agents. Nonetheless, the application of genomics - especially largerscale studies - to animal infectious agents lags behind its application to human pathogens, despite the growing importance of many animal species as food sources. Assiduously conducted genomic studies offer major benefits, not merely by providing a detailed understanding of infectious agents but also through the exploitation of such findings to enable more accurate diagnosis, high-resolution typing and the development of improved interventions. The use of genomics for these and other purposes is likely to grow in future years and it must be anticipated that investigation and characterisation of important animal infectious agents will also gain considerable benefits. Using mainly animal pathogens as examples - including several infectious agents listed by the World Organisation for Animal Health - this paper provides a concise summary of some recent purposes and developments in bacterial genomics analysis.

Foot and mouth disease virus (FMDV) is an animal pathogen of global economic significance. Identifying the sources of outbreaks plays an important role in disease control; however, this can be confounded by the ease with which FMDV can spread via movement of infected livestock and animal products, aerosols or fomites, e.g. contaminated persons and objects. As sequencing technologies have advanced, this review highlights the uses of viral genomic data in helping to understand the global distribution and transboundary movements of FMDV, and the role that these approaches have played in control and surveillance programmes. The recent application of next-generation sequencing platforms to address important epidemiological and evolutionary challenges is discussed with particular reference to the advent of 'omics' technologies.

Genetic sequence data from pathogens present a novel means to investigate the spread of infectious disease between infected hosts or infected premises, complementing traditional contact-tracing approaches, and much recent work has gone into developing methods for this purpose. The objective is to recover the epidemic transmission tree, which identifies who infected whom. This paper reviews the various approaches that have been taken. The first step is to define a measure of difference between sequences, which must be done while taking into account such factors as recombination and convergent evolution. Three broad categories of method exist, of increasing complexity: those that assume no withinhost genetic diversity or mutation, those that assume no within-host diversity but allow mutation, and those that allow both. Until recently, the assumption was usually made that every host in the epidemic could be identified, but this is now being relaxed, and some methods are intended for sparsely sampled data, concentrating on the identification of pairs of sequences that are likely to be the result of direct transmission rather than inferring the complete transmission tree. Many of the procedures described here are available to researchers as free software.