Identification of major histocompatibility complex genotypes associated with resistance to an amphibian emerging infectious disease.

Amphibian chytridiomycosis, caused by Batrachochytrium dendrobatidis (Bd), emerged from Asia and spread globally. By comparing functional MHC IIß1 alleles from an Asian Bd-resistant anuran species (Bufo gargarizans) with those of an Australasian Bd-susceptible species (Litoria caerulea), we identified MHC genotypes associated with Bd resistance. These alleles encode a glycine deletion (G90ß1) and adjacent motifs in the deepest pathogen-derived peptide-binding groove. Every Bd-resistant individual, but no susceptible individuals, possessed at least one allele encoding the variant. We detected trans-species polymorphism at the end of the MHC IIß1 sequences. The G90ß1 deletion was encoded by different alleles in the two species, suggesting it may have evolved independently in each species rather than having been derived from a common ancestor. These results are consistent with a scenario by which MHC adaptations that confer resistance to the pathogen have evolved by convergent evolution. Immunogenetic studies such as this are critical to ongoing conservation efforts.

Divergent allele advantage in the MHC and amphibian emerging infectious disease.

Genetic variation in the major histocompatibility complex (MHC) may be associated with resistance to the amphibian chytrid fungus Batrachochytrium dendrobatidis (Bd). The pathogen originated in Asia, then spread worldwide, causing amphibian population declines and species extinctions. We compared the expressed MHC IIß1 alleles of a Bd-resistant species, Bufo gargarizans, from South Korea with those of a Bd-susceptible Australasian species, Litoria caerulea. We found at least six expressed MHC IIß1 loci in each of the two species. Amino acid diversity encoded by these MHC alleles was similar between species, but the genetic distance of those alleles known for potential broader pathogen-derived peptide binding was greater in the Bd-resistant species. In addition, we found a potentially rare allele in one resistant individual from the Bd-susceptible species. Deep next-generation sequencing recovered approximately triple the genetic resolution accessible from traditional cloning-based genotyping. Targeting the full MHC IIß1 enables us to better understand how host MHC may adapt to emerging infectious diseases.

Human host genetics and susceptibility to ZIKV infection.

Managing emerging infectious diseases is a current challenge in the fields of microbiology and epidemiology. Indeed, among other environmental and human-related factors, climate change and global warming favor the emergence of new pathogens. The recent Zika virus (ZIKV) epidemic, of which the large and rapid spread surprised the scientific community, is a reminder of the importance to study viruses currently responsible for sporadic infections. Increasing our knowledge of key factors involved in emerging infections is essential to implement specific monitoring that can be oriented according to the pathogen, targeted population, or at-risk environment. Recent technological developments, such as high-throughput sequencing, genome-wide association studies and CRISPR screenings have allowed the identification of human single nucleotide polymorphisms (SNPs) involved in infectious disease outcome. This review focuses on the human genetic host factors that have been identified and shown to be associated with the pathogenesis of ZIKV infection and candidate SNP targets.

Innate and Adaptive Immune Genes Associated with MERS-CoV Infection in Dromedaries.

The recent SARS-CoV-2 pandemic has refocused attention to the betacoronaviruses, only eight years after the emergence of another zoonotic betacoronavirus, the Middle East respiratory syndrome coronavirus (MERS-CoV). While the wild source of SARS-CoV-2 may be disputed, for MERS-CoV, dromedaries are considered as source of zoonotic human infections. Testing 100 immune-response genes in 121 dromedaries from United Arab Emirates (UAE) for potential association with present MERS-CoV infection, we identified candidate genes with important functions in the adaptive, MHC-class I (HLA-A-24-like) and II (HLA-DPB1-like), and innate immune response (PTPN4, MAGOHB), and in cilia coating the respiratory tract (DNAH7). Some of these genes previously have been associated with viral replication in SARS-CoV-1/-2 in humans, others have an important role in the movement of bronchial cilia. These results suggest similar host genetic pathways associated with these betacoronaviruses, although further work is required to better understand the MERS-CoV disease dynamics in both dromedaries and humans.

A transmissible cancer shifts from emergence to endemism in Tasmanian devils.

Emerging infectious diseases pose one of the greatest threats to human health and biodiversity. Phylodynamics is often used to infer epidemiological parameters essential for guiding intervention strategies for human viruses such as severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2). Here, we applied phylodynamics to elucidate the epidemiological dynamics of Tasmanian devil facial tumor disease (DFTD), a fatal, transmissible cancer with a genome thousands of times larger than that of any virus. Despite prior predictions of devil extinction, transmission rates have declined precipitously from ~3.5 secondary infections per infected individual to ~1 at present. Thus, DFTD appears to be transitioning from emergence to endemism, lending hope for the continued survival of the endangered Tasmanian devil. More generally, our study demonstrates a new phylodynamic analytical framework that can be applied to virtually any pathogen.

Molecular characterisation of emerging pathogens of unexplained infectious disease syndromes.

Introduction: The discoveries of HIV and Helicobacter pylori in the 1980s were landmarks in identification of novel pathogens causing unexplained infectious syndromes using conventional microbiological technologies. In the last few decades, advancement of molecular technologies has provided us with more robust tools to expand our armamentarium in this microbial hunting process. Areas covered: In this article, we give a brief overview of the most important molecular technologies we use for identification of emerging microbes associated with unexplained infectious syndromes, including 16S rRNA and other conserved targets sequencing for bacteria, internal transcribed spacer (ITS) and other target gene sequencing for fungi, polymerase and other gene sequencing for viruses, as well as deep sequencing. Then, we use several representative examples to illustrate how these techniques have been used for the discoveries of a few notable bacterial, fungal and viral pathogens associated with unexplained infectious syndromes in the last 20-30 years. Expert opinion: In the past and present, characterization of emerging pathogens of unexplained infectious disease syndromes has relied on a combination of conventional culture- and phenotype-based technologies and nucleic acid amplification and sequencing. In the next era, we envisage more widespread adoption of next generation technologies that can detect both known and previously undescribed pathogens.

Klebsiella pneumoniae ST307 with blaOXA-181, South Africa, 2014-2016.

Klebsiella pneumoniae sequence type (ST) 307 is an emerging global antimicrobial drug-resistant clone. We used whole-genome sequencing and PCR to characterize K. pneumoniae ST307 with oxacillinase (OXA) 181 carbapenemase across several private hospitals in South Africa during 2014-2016. The South Africa ST307 belonged to a different clade (clade VI) with unique genomic characteristics when compared with global ST307 (clades I-V). Bayesian evolution analysis showed that clade VI emerged around March 2013 in Gauteng Province, South Africa, and then evolved during 2014 into 2 distinct lineages. K. pneumoniae ST307 clade VI with OXA-181 disseminated over a 15-month period within 42 hospitals in 23 cities across 6 northeastern provinces, affecting 350 patients. The rapid expansion of ST307 was most likely due to intrahospital, interhospital, intercity, and interprovince movements of patients. This study highlights the importance of molecular surveillance for tracking emerging antimicrobial clones.

New pathogens, new tricks: emerging, drug-resistant fungal pathogens and future prospects for antifungal therapeutics.

Fungal pathogens are a growing threat to public health. As human immunodeficiency becomes increasingly common, fungal infections are becoming more prevalent. The use of antifungal agents for prophylaxis and treatment of fungal infections has favored the emergence of previously rare or unidentified species of drug-resistant fungal pathogens, including several Candida and Cryptococcus species, as well as mold pathogens. As these new and increasingly drug-resistant fungal pathogens continue to emerge, novel strategies for rapid identification and treatment are necessary to combat these life-threatening infections.

Candida blankii: um patógeno emergente de difícil diagnóstico e tratamento clínico / Candida blankii: an emerging pathogen difficult to diagnose and to treat clinically

O gênero Candida possui várias espécies conhecidas e que podem tornar-se patogênicas em determinadas situações. Candida blankii é uma espécie emergente que, na última década, foi identificada como um agente de doenças sistêmicas. Ainda não existe um protocolo de tratamento específico, apesar de que n os poucos casos registrados na literatura a terapia adotada foi efetiva. O objetivo deste estudo foi realizar uma revisão bibliográfica para coletar informações relevantes sobre este patógeno como um possível agente etiológico em infecções sistêmicas, bem como sua epidemiologia e os aspectos de sua patogenicidade. (AU)

The genus Candida has several known species and may become pathogenic in certain situations. Candida blankii is an emerging species that in the past decade has been identified as an agent of systemic diseases. There is no specific treatment protocol yet, although in the few cases reported in the literature the therapy adopted was effective. The objective of this study was to conduct a literature review to collect relevant information about this pathogen as a possible etiological agent in systemic infections, as well as its epidemiology and aspects of pathogenicity. (AU)

Modeling pathogenesis of emergent and pre-emergent human coronaviruses in mice.

The emergence of highly pathogenic human coronaviruses (hCoVs) in the last two decades has illuminated their potential to cause high morbidity and mortality in human populations and disrupt global economies. Global pandemic concerns stem from their high mortality rates, capacity for human-to-human spread by respiratory transmission, and complete lack of approved therapeutic countermeasures. Limiting disease may require the development of virus-directed and host-directed therapeutic strategies due to the acute etiology of hCoV infections. Therefore, understanding how hCoV-host interactions cause pathogenic outcomes relies upon mammalian models that closely recapitulate the pathogenesis of hCoVs in humans. Pragmatism has largely been the driving force underpinning mice as highly effective mammalian models for elucidating hCoV-host interactions that govern pathogenesis. Notably, tractable mouse genetics combined with hCoV reverse genetic systems has afforded the concomitant manipulation of virus and host genetics to evaluate virus-host interaction networks in disease. In addition to assessing etiologies of known hCoVs, mouse models have clinically predictive value as tools to appraise potential disease phenotypes associated with pre-emergent CoVs. Knowledge of CoV pathogenic potential before it crosses the species barrier into the human population provides a highly desirable preclinical platform for addressing global pathogen preparedness, an overarching directive of the World Health Organization. Although we recognize that results obtained in robust mouse models require evaluation in non-human primates, we focus this review on the current state of hCoV mouse models, their use as tractable complex genetic organisms for untangling complex hCoV-host interactions, and as pathogenesis models for preclinical evaluation of novel therapeutic interventions.

AHL-lactonase expression in three marine emerging pathogenic Vibrio spp. reduces virulence and mortality in brine shrimp (Artemia salina) and Manila clam (Venerupis philippinarum).

Bacterial infectious diseases produced by Vibrio are the main cause of economic losses in aquaculture. During recent years it has been shown that the expression of virulence genes in some Vibrio species is controlled by a population-density dependent gene-expression mechanism known as quorum sensing (QS), which is mediated by the diffusion of signal molecules such as N-acylhomoserine lactones (AHLs). QS disruption, especially the enzymatic degradation of signalling molecules, known as quorum quenching (QQ), is one of the novel therapeutic strategies for the treatment of bacterial infections. In this study, we present the detection of AHLs in 34 marine Vibrionaceae strains. Three aquaculture-related pathogenic Vibrio strains, V. mediterranei VibC-Oc-097, V. owensii VibC-Oc-106 and V. coralliilyticus VibC-Oc-193 were selected for further studies based on their virulence and high production of AHLs. This is the first report where the signal molecules have been characterized in these emerging marine pathogens and correlated to the expression of virulence factors. Moreover, the results of AHL inactivation in the three selected strains have been confirmed in vivo against brine shrimps (Artemia salina) and Manila clams (Venerupis philippinarum). This research contributes to the development of future therapies based on AHL disruption, the most promising alternatives for fighting infectious diseases in aquaculture.

Molecular Research on Emerging Viruses: Evolution, Diagnostics, Pathogenesis, and Therapeutics.

Viruses are increasingly recognized as emerging infectious disease agents in both humans and animals.[...].

Towards a genomics-informed, real-time, global pathogen surveillance system.

The recent Ebola and Zika epidemics demonstrate the need for the continuous surveillance, rapid diagnosis and real-time tracking of emerging infectious diseases. Fast, affordable sequencing of pathogen genomes - now a staple of the public health microbiology laboratory in well-resourced settings - can affect each of these areas. Coupling genomic diagnostics and epidemiology to innovative digital disease detection platforms raises the possibility of an open, global, digital pathogen surveillance system. When informed by a One Health approach, in which human, animal and environmental health are considered together, such a genomics-based system has profound potential to improve public health in settings lacking robust laboratory capacity.

Cryptic chytridiomycosis linked to climate and genetic variation in amphibian populations of the southeastern United States.

North American amphibians have recently been impacted by two major emerging pathogens, the fungus Batrachochytrium dendrobatidis (Bd) and iridoviruses in the genus Ranavirus (Rv). Environmental factors and host genetics may play important roles in disease dynamics, but few studies incorporate both of these components into their analyses. Here, we investigated the role of environmental and genetic factors in driving Bd and Rv infection prevalence and severity in a biodiversity hot spot, the southeastern United States. We used quantitative PCR to characterize Bd and Rv dynamics in natural populations of three amphibian species: Notophthalmus perstriatus, Hyla squirella and Pseudacris ornata. We combined pathogen data, genetic diversity metrics generated from neutral markers, and environmental variables into general linear models to evaluate how these factors impact infectious disease dynamics. Occurrence, prevalence and intensity of Bd and Rv varied across species and populations, but only one species, Pseudacris ornata, harbored high Bd intensities in the majority of sampled populations. Genetic diversity and climate variables both predicted Bd prevalence, whereas climatic variables alone predicted infection intensity. We conclude that Bd is more abundant in the southeastern United States than previously thought and that genetic and environmental factors are both important for predicting amphibian pathogen dynamics. Incorporating both genetic and environmental information into conservation plans for amphibians is necessary for the development of more effective management strategies to mitigate the impact of emerging infectious diseases.

Emergence of a novel subclade of influenza A(H3N2) virus in London, December 2016 to January 2017.

We report the molecular investigations of a large influenza A(H3N2) outbreak, in a season characterised by sharp increase in influenza admissions since December 2016. Analysis of haemagglutinin (HA) sequences demonstrated co-circulation of multiple clades (3C.3a, 3C.2a and 3C.2a1). Most variants fell into a novel subclade (proposed as 3C.2a2); they possessed four unique amino acid substitutions in the HA protein and loss of a potential glycosylation site. These changes potentially modify the H3N2 strain antigenicity.

Rapid evolutionary response to a transmissible cancer in Tasmanian devils.

Although cancer rarely acts as an infectious disease, a recently emerged transmissible cancer in Tasmanian devils (Sarcophilus harrisii) is virtually 100% fatal. Devil facial tumour disease (DFTD) has swept across nearly the entire species' range, resulting in localized declines exceeding 90% and an overall species decline of more than 80% in less than 20 years. Despite epidemiological models that predict extinction, populations in long-diseased sites persist. Here we report rare genomic evidence of a rapid, parallel evolutionary response to strong selection imposed by a wildlife disease. We identify two genomic regions that contain genes related to immune function or cancer risk in humans that exhibit concordant signatures of selection across three populations. DFTD spreads between hosts by suppressing and evading the immune system, and our results suggest that hosts are evolving immune-modulated resistance that could aid in species persistence in the face of this devastating disease.

Multi-taxa integrated landscape genetics for zoonotic infectious diseases: deciphering variables influencing disease emergence.

Zoonotic disease transmission systems involve sets of species interacting with each other and their environment. This complexity impedes development of disease monitoring and control programs that require reliable identification of spatial and biotic variables and mechanisms facilitating disease emergence. To overcome this difficulty, we propose a framework that simultaneously examines all species involved in disease emergence by integrating concepts and methods from population genetics, landscape ecology, and spatial statistics. Multi-taxa integrated landscape genetics (MTILG) can reveal how interspecific interactions and landscape variables influence disease emergence patterns. We test the potential of our MTILG-based framework by modelling the emergence of a disease system across multiple species dispersal, interspecific interaction, and landscape scenarios. Our simulations showed that both interspecific-dependent dispersal patterns and landscape characteristics significantly influenced disease spread. Using our framework, we were able to detect statistically similar inter-population genetic differences and highly correlated spatial genetic patterns that imply species-dependent dispersal. Additionally, species that were assigned coupled-dispersal patterns were affected to the same degree by similar landscape variables. This study underlines the importance of an integrated approach to investigating emergence of disease systems. MTILG is a robust approach for such studies and can identify potential avenues for targeted disease management strategies.

Engineering Coronaviruses to Evaluate Emergence and Pathogenic Potential.

A recent study provides a platform for generating infectious coronavirus genomes using sequence data, examining their capabilities of replicating in human cells and causing diseases in animal models, and evaluating therapeutics and vaccines. Similar approaches could be used to assess the potential of human emergence and pathogenicity for other viruses.