Immunogenicity of live phoP gene deletion strain of Riemerella anatipestifer serotype 1

Genomic analysis and experimental pathogenic characterization of Riemerella anatipestifer isolates from chickens in China

Waterfowl have a high likelihood of being infected with Riemerella anatipestifer. Although the pathogen is found in domestic ducks, turkeys, geese, and wild birds, there is little information available about the consequences of infection during egg laying and hatching in chickens. Here, we present the first report of a novel sequence type of R. anatipestifer S63 isolated from chickens in China. On the basis of pan-genome analysis, we showed S63's genome occupies a distinct branch with other R. anatipestifer isolates from other hosts. Galleria mellonella larval tests indicated that S63 is less virulent than R. anatipestifer Ra36 isolated from ducks. Ducks and hens are susceptible to S63 infection. There is no mortality rate for chickens or ducks, but adult chickens experience neurological symptoms that reduce egg production and hatching rates. In chickens, S63 might be passed vertically from parents to offspring, resulting in "jelly-like" lifeless embryos. Using quantitative PCR, S63 was detected in the brain, liver, reproductive organs, and embryos. As far as we know, this is the first report of R. anatipestifer in hens, a disease that can reduce egg productivity, lower hatching rates, and produce jelly-like lifeless embryos, and the first report to raise the possibility that hens can be infected by roosters via semen.

Integrated multi-omics identified the novel intratumor microbiome-derived subtypes and signature to predict the outcome, tumor microenvironment heterogeneity, and immunotherapy response for pancreatic cancer patients

Background: The extremely malignant tumour known as pancreatic cancer (PC) lacks efficient prognostic markers and treatment strategies. The microbiome is crucial to how cancer develops and responds to treatment. Our study was conducted in order to better understand how PC patients' microbiomes influence their outcome, tumour microenvironment, and responsiveness to immunotherapy. Methods: We integrated transcriptome and microbiome data of PC and used univariable Cox regression and Kaplan-Meier method for screening the prognostic microbes. Then intratumor microbiome-derived subtypes were identified using consensus clustering. We utilized LASSO and Cox regression to build the microbe-related model for predicting the prognosis of PC, and utilized eight algorithms to assess the immune microenvironment feature. The OncoPredict package was utilized to predict drug treatment response. We utilized qRT-PCR to verify gene expression and single-cell analysis to reveal the composition of PC tumour microenvironment. Results: We obtained a total of 26 prognostic genera in PC. And PC samples were divided into two microbiome-related subtypes: Mcluster A and B. Compared with Mcluster A, patients in Mcluster B had a worse prognosis and higher TNM stage and pathological grade. Immune analysis revealed that neutrophils, regulatory T cell, CD8+ T cell, macrophages M1 and M2, cancer associated fibroblasts, myeloid dendritic cell, and activated mast cell had remarkably higher infiltrated levels within the tumour microenvironment of Mcluster B. Patients in Mcluster A were more likely to benefit from CTLA-4 blockers and were highly sensitive to 5-fluorouracil, cisplatin, gemcitabine, irinotecan, oxaliplatin, and epirubicin. Moreover, we built a microbe-derived model to assess the outcome. The ROC curves showed that the microbe-related model has good predictive performance. The expression of LAMA3 and LIPH was markedly increased within pancreatic tumour tissues and was linked to advanced stage and poor prognosis. Single-cell analysis indicated that besides cancer cells, the tumour microenvironment of PC was also rich in monocytes/macrophages, endothelial cells, and fibroblasts. LIPH and LAMA3 exhibited relatively higher expression in cancer cells and neutrophils. Conclusion: The intratumor microbiome-derived subtypes and signature in PC were first established, and our study provided novel perspectives on PC prognostic indicators and treatment options.