Pathogen Detection and Genotyping With Trace Sample by A Phi29 Based Unbiased Exponential Amplification

Ticks are vectors for many infectious diseases such as spotted fever group (SFG) rickettsioses and borrelioses. Ticks are valuable material for pathogen ecology study. Ticks have several growth stages with significant varying size, and therefore, in most cases, the collected ticks cannot provide sufficient DNA for subsequent studies, particularly for multiple pathogen screening and genotyping. Unbiased pretreatment of the tick samples for subsequent analysis is an urgent need for subsequent ecological survey and other studies. Phi29 DNA polymerase, an enzyme with strand displacement activity, could exponentially amplify DNA randomly and non-biasedly, generating large quantities of DNA. In the present study, we developed a Phi29 based unbiased exponential amplification (PEA) assay for unbiased treatment of sample nucleic acid to provide sufficient DNA for genetic analysis. By using tick borne pathogen detection and genotype as a model, we tested and evaluated the feasibility of the assay. Nucleic acid were extracted from single ticks and subjected to PEA. The results showed that tick DNA could be amplified up to 10 5 folds. The amplified products were successfully used for pathogen screening and genotyping. With the amplified DNA from single tick, Rickettsia was successfully detected and genotyped. A new genotype of Rickettsia was identified from ticks collected from Dandong city, Liaoning province, Northeast China. This PEA assay is universal and can also be extended to other applications where samples are greatly limited.

Comparison of gut viral communities in diarrhoea and healthy dairy calves

Calf diarrhoea has been a major cause of economic losses in the global dairy industry. Many factors, including multiple pathogen infections, can directly or indirectly cause calf diarrhoea. This study compared the faecal virome between 15 healthy calves and 15 calves with diarrhoea. Significantly lower diversity of viruses was found in samples from animals with diarrhoea than those in the healthy ones, and this feature may also be related to the age of the calves. Viruses belonging to the families Astroviridae and Caliciviridae that may cause diarrhoea in dairy calves have been characterized, which revealed that reads of caliciviruses and astroviruses in diarrhoea calves were much higher than those in healthy calves. Five complete genomic sequences closely related to Smacoviridae have been identified, which may participate in the regulation of the gut virus community ecology of healthy hosts together with bacteriophages. This research provides a theoretical basis for further understanding of known or potential enteric pathogens related to calf diarrhoea.

On Deterministic and Stochastic Multiple Pathogen Epidemic Models

In this paper, we consider a stochastic epidemic model with two pathogens. In order to analyze the coexistence of two pathogens, we compute numerically the expectation time until extinction (the mean persistence time), which satisfies a stationary partial differential equation with degenerate variable coefficients, related to backward Kolmogorov equation. I use the finite element method in order to solve this equation, and we implement it in FreeFem++. The main conclusion of this paper is that the deterministic and stochastic epidemic models differ considerably in predicting coexistence of the two diseases and in the extinction outcome of one of them. Now, the main challenge would be to find an explanation for this result.

Serological Evidence of Human Orthohantavirus Infections in Barbados, 2008 to 2016

Background: Hantavirus pulmonary syndrome (HPS) is well-known in South and North America; however, not enough data exist for the Caribbean. The first report of clinical orthohantavirus infection was obtained in Barbados, but no other evidence of clinical orthohantavirus infections among adults in the Caribbean has been documented. Methods: Using enzyme linked immunosorbent assay (ELISA) tests followed by confirmatory testing with immunofluorescent assays (IFA), immunochromatographic (ICG) tests, and pseudotype focus reduction neutralization tests (pFRNT), we retrospectively and prospectively detected orthohantavirus-specific antibodies among patients with febrile illness in Barbados. Results: The orthohantavirus prevalence rate varied from 5.8 to 102.6 cases per 100,000 persons among febrile patients who sought medical attention annually between 2008 and 2016. Two major orthohantavirus epidemics occurred in Barbados during 2010 and 2016. Peak orthohantavisinfectionswere observed during the rainy season (August) and prevalence rates were significantly higher in females than males and in patients from urban parishes than rural parishes. Conclusions: Orthohantavirus infections are still occurring in Barbados and in some patients along with multiple pathogen infections (CHIKV, ZIKV, DENV and Leptospira). Orthohantavirus infections are more prevalent during periods of high rainfall (rainy season) with peak transmission in August; females are more likely to be infected than males and infections are more likely among patients from urban rather than rural parishes in Barbados.

Direct acetylation of the conserved threonine of an immune regulator by bacterial effectors activates RPM1-dependent immunity in Arabidopsis

Plant pathogenic bacteria deliver effectors into plant cells to suppress immunity and promote pathogen survival (Buttner, 2016; Deslandes and Rivas, 2012); however, these effectors can be recognised by plant disease resistance (R) proteins to activate innate immunity (Jones and Dangl, 2006; Spoel and Dong, 2012). The bacterial acetyltransferase effectors HopZ5 and AvrBsT trigger immunity in Arabidopsis thaliana genotypes lacking SUPPRESSOR OF AVRBST-ELICITED RESISTANCE 1 (SOBER1) (Choi et al., 2018; Jayaraman et al., 2017),. Using an Arabidopsis accession, Tscha-1, that naturally lacks functional SOBER1 but is unable to recognise HopZ5, we demonstrate that RESISTANCE TO P. SYRINGAE PV MACULICOLA 1 (RPM1) and RPM1-INTERACTING PROTEIN 4 (RIN4) are indispensable for HopZ5- or AvrBsT-triggered immunity. Remarkably, T166 of RIN4, the phosphorylation of which is induced by AvrB and AvrRpm1, was directly acetylated by HopZ5 and AvrBsT. Furthermore, we demonstrate that acetylation of RIN4 T166 is required and sufficient for activation of HopZ5- or AvrBsT-triggered defence. Finally, we show that SOBER1 interferes with HopZ5- or AvrBsT-triggered immunity by deacetylating RIN4 T166. Our findings indicate that multiple pathogen effectors with distinct biochemical properties modify a single residue in a guardee protein and activate a plant NLR immune receptor. We have thus elucidated detailed molecular mechanisms underlying the activation and suppression of plant innate immunity triggered by bacterial acetyltransferases.

Within-host priority effects and epidemic timing determine outbreak severity in co-infected populations

Co-infections of hosts by multiple pathogen species are ubiquitous, but predicting their impact on disease remains challenging. Interactions between co-infecting pathogens within hosts can alter pathogen transmission, with the impact on transmission typically dependent on the relative arrival order of pathogens within hosts (within-host priority effects). However, it is unclear how these within-host priority effects influence multi-pathogen epidemics, particularly when the arrival order of pathogens at the host-population scale varies. Here, we combined models and experiments with zooplankton and their naturally co-occurring fungal and bacterial pathogens to examine how within-host priority effects influence multi-pathogen epidemics. Epidemiological models parametrized with within-host priority effects measured at the single-host scale predicted that advancing the start date of bacterial epidemics relative to fungal epidemics would decrease the mean bacterial prevalence in a multi-pathogen setting, while models without within-host priority effects predicted the opposite effect. We tested these predictions with experimental multi-pathogen epidemics. Empirical dynamics matched predictions from the model including within-host priority effects, providing evidence that within-host priority effects influenced epidemic dynamics. Overall, within-host priority effects may be a key element of predicting multi-pathogen epidemic dynamics in the future, particularly as shifting disease phenology alters the order of infection within hosts.

Bacterial and Fungal Pathogen Synergetics after Co-infection in the Wheat (Triticum aestivum L.)

Wheat is one of the most important staple grains in the world and the leading source of calories, production is limited by biotic stress. There is a number of pathogen attacks on wheat crops, depending on environmental conditions. In some cases, more than one crop pathogen attack leads to higher damage or decrease susceptibility. There are very few studies in the field of multiple pathogen interactions; in this study, we analyzed the co-infectionof wheat with fungal and bacterial pathogens. Field isolated Xanthomonas translucens and Xanthomonas compestris bacteria have been used against GM-322 and PDKV varieties co-infected with Fusarium fungus spp. In our experiment, we used Fusarium oxysporum, Fusarium graminearum, Fusarium equitus. Compared to the combined effect of the fungus and bacteria, we measured the length and width of the infected leaf part. We have observed that there is more susceptibility to X. compestris and F. graminearium in the GM-322 wheat variety. The second susceptible cvs was PDKV when we co-infected F. oxysporum and then X. translucens fungal and bacterial infected symptom analysis showed yellow stripes on the leaf surface of the wheat crop. We observed head blight in wheat when it was infected with F. graminearum and X. compestris. As a result, we concluded that varietal susceptibility also depends on co-infection pathogen attacks and their synergetic interaction.

Improved characterisation of MRSA transmission using within-host bacterial sequence diversity

Methicillin-resistant Staphylococcus aureus (MRSA) transmission in the hospital setting has been a frequent subject of investigation using bacterial genomes, but previous approaches have not yet fully utilised the extra deductive power provided when multiple pathogen samples are acquired from each host. Here, we used a large dataset of MRSA sequences from multiply-sampled patients to reconstruct colonisation of individuals in a high-transmission setting in a hospital in Thailand. We reconstructed transmission trees for MRSA. We also investigated transmission between anatomical sites on the same individual, finding that this either occurs repeatedly or involves a wide transmission bottleneck. We examined the between-subject bottleneck, finding considerable variation in the amount of diversity transmitted. Finally, we compared our approach to the simpler method of identifying transmission pairs using single nucleotide polymorphism (SNP) counts. This suggested that the optimum threshold for identifying a pair is 39 SNPs, if sensitivities and specificities are equally weighted.