Characterization and epidemiologic analysis of mycoplasmal pneumonia of sheep in Qinghai Province.

Mycoplasmal pneumonia in sheep and goats usually result covert but huge economic losses in the sheep and goat industry. The disease is prevalent in various countries in Africa and Asia. Clinical manifestations in affected animals include anorexia, fever, and respiratory symptoms such as dyspnea, polypnea, cough, and nasal discharge. Due to similarities with other respiratory infections, accurate diagnosis can be challenging, and isolating the causative organism is often problematic. However, the utilization of molecular techniques, such as PCR, allows for rapid and specific identification of pathogens. Thus, a goat infection model with Mycoplasma was established and the pathogen was tested using PCR. The results indicated that this approach could be effectively utilized for the rapid detection of mycoplasma in clinical settings. Additionally, the prevalence of contagious pleuropneumonia of sheep in Qinghai Province was further investigated through PCR analysis. A total of 340 nasal swabs were collected from 17 sheep farms in Qinghai province. Among these samples, 84 tested positive for Mycoplasma mycoides subsp. capri (Mmc) and 148 tested positive for Mycoplasma ovipneumoniae (Movi), resulting in positive rates of 24.71% and 43.53% respectively. Furthermore, our investigation revealed positive PCR results for nasal swabs, trachea, and lung samples obtained from sheep exhibiting symptoms suggestive of mycoplasma infection. Moreover, three distinct strains were isolated from these positive samples. Additionally, the inflammatory cytokines of peripheral blood mononuclear cells (PBMCs) were assessed using RT-PCR. The findings demonstrated a high susceptibility of sheep to Movi in Qinghai province, with infected sheep displaying an inflammatory response. Consequently, the outcomes of this study will furnish valuable epidemiological insights for the effective prevention and control of this disease within Qinghai Province.

Phylogeny and population structure of Echinococcus granulosus (sensu stricto) based on full-length cytb-nad2-atp6 mitochondrial genes - First report from Sialkot District of Pakistan.

Cystic echinococcosis is a zoonotic disease of livestock having serious economic setbacks. The etiological agents of the disease belong to Echinococcus granulosus sensu lato. Despite of worldwide distribution of the disease, the molecular studies mainly employ amplification of cox1, nad1 and nad5 genes. To further strengthen the knowledge about significance of other molecular markers and to investigate the genetic diversity and population structure of Echinococcus species in Pakistan, the current study was designed in which full length mitochondrial cytb, atp6 and nad2 genes were amplified. Based on BLAST searches of the generated cytb, atp6 and nad2 gene sequences from a total of 18 hydatid cysts collected from cattle, 12 isolates were identified as E. granulousus G3 and 6 as E. granulosus (G1). The phylogeny inferred by the Bayesian method using nucleotide sequences of cytb-atp6-nad2 further confirmed their identity. The diversity indices indicated a high haplotype and a low nucleotide diversity. The negative values of Tajima's D and Fu's Fs test demonstrated deviation from neutrality suggesting a recent population expansion. To the best of our knowledge, the present study described the genetic variation of E. granulosus population for the first time in Pakistan using full-length cytb, atp6 and nad2 mitochondrial genes. The findings on the genetic variation of E. granulosus in Pakistan will constitute useful baseline information for future studies on the prevalence and population structure of E. granulosus based on full-length cytb, atp6 and nad2.

S100A10 might be a novel prognostic biomarker for head and neck squamous cell carcinoma based on bioinformatics analysis.

Head and neck squamous cell carcinoma (HNSCC) is a frequent malignant tumor of the head and neck with a dismal survival probability due to relapse and metastasis. S100As have been identified as being involved in the tumor procession of various cancer types. However, the expressions of S100As in HNSCC and their prognostic relevance are unknown. Bioinfromatics analysis was conducted to identify the prognostic value and function of S100As in HNSCC patients. In the study, we found that high mRNA expression levels of S100A3, S100A4, S100A7A, S100A9, and low mRNA expression levels of S100A1, S100A10 were related with a good overall survival in HNSCC patients. Importantly, the prognosis model suggested that S100A10 may have a certain impact on the development of HNSCC. Moreover, single-cell RNA sequencing analysis clarified that the specific functions of S100A10 had positive regulatory effects on metastasis, blood vessel generation, EMT, hypoxia, and invasion. Our findings implied that S100A10 might be a new prognostic biomarker for HNSCC, and played a role in promoting the occurrence, and development of HNSCC.

Phosphorus influence Cd phytoextraction in Populus stems via modulating xylem development, cell wall Cd storage and antioxidant defense.

The soils in mining lands with cadmium (Cd) contamination usually are deficient in nutrients. Disclosing how P nutrition and N:P stoichiometric ratio influences Cd accumulation and stress tolerance in stems of Populus spp. will facilitate the phytoremediation of mining sites polluted by Cd. In this study, investigations at the anatomical and physiological levels were conducted using a clone of Populus × euramericana. Both phosphorus deficiency and cadmium exposure inhibited xylem development via reducing cell layers in the xylem. Under P-sufficient condition, appropriate P status and balanced N:P ratio in stem promoted xylem development under Cd exposure via stimulating cell division, which enhanced Cd accumulation in stems. Cd accumulation in cell walls of collenchyma tissues of the stem was enhanced by P application due to increased polysaccharide production and cell wall affinity for Cd. The low P concentrations (0.3-0.4 mg g-1) and imbalanced N:P ratio under P deficiency inhibited the production of APX and ascorbate-GSH cycle, which increased oxidative stress and lipid peroxidation as indicated by high MDA concentration in stem. Under P-sufficient condition, the interactions between phytohormones and antioxidants play crucial roles in the process of antioxidant defense under Cd exposure. In conclusions, appropriate P addition and balanced N:P ratio enhanced secondary xylem development and promoted cadmium accumulation and stress tolerance in Populus stems, which can benefit the phytoextraction of Cd from Cd-contaminated soil.

CellSim: a novel software to calculate cell similarity and identify their co-regulation networks.

BACKGROUND: Cell direct reprogramming technology has been rapidly developed with its low risk of tumor risk and avoidance of ethical issues caused by stem cells, but it is still limited to specific cell types. Direct reprogramming from an original cell to target cell type needs the cell similarity and cell specific regulatory network. The position and function of cells in vivo, can provide some hints about the cell similarity. However, it still needs further clarification based on molecular level studies. RESULT: CellSim is therefore developed to offer a solution for cell similarity calculation and a tool of bioinformatics for researchers. CellSim is a novel tool for the similarity calculation of different cells based on cell ontology and molecular networks in over 2000 different human cell types and presents sharing regulation networks of part cells. CellSim can also calculate cell types by entering a list of genes, including more than 250 human normal tissue specific cell types and 130 cancer cell types. The results are shown in both tables and spider charts which can be preserved easily and freely. CONCLUSION: CellSim aims to provide a computational strategy for cell similarity and the identification of distinct cell types. Stable CellSim releases (Windows, Linux, and Mac OS/X) are available at: www.cellsim.nwsuaflmz.com , and source code is available at: https://github.com/lileijie1992/CellSim/ .