Bovine papular stomatitis (BPS) generally is a mild viral disease caused by the Bovine papular stomatitis virus (BPSV) belonging to the genus Parapoxvirus (PPV). This study aimed to perform the first molecular characterization and phylogenetic analysis of BPSV in beef calves in Iran. Clinical examinations were carried out on four beef cattle herds in West Azerbaijan province, which had experienced outbreaks of papular lesions. Fifty swab samples were collected from the papular lesions on the muzzle, lips, and oral cavity of affected calves, and after viral DNA extraction, they were subjected to polymerase chain reaction (PCR). The results of PCR confirmed the presence of BPSV in all calves with clinical symptoms. The partial B2L gene was sequenced based on nucleotides, and phylogenetic analysis was performed using MEGA 11.0.13. The analysis revealed that BPSV isolates from beef calves in Iran formed two clades. Clade 1 exhibited similarities to the isolates from Finland, Japan, and Georgia, while Clade 2 was similar to the Zambian isolates. These findings indicate the presence of genetic diversity and potential variability within the virus population. Further studies with larger sample sizes and diverse geographic regions will increase the resolution of the phylogenetic tree and contribute to a comprehensive understanding of how BPSV circulates in the country.
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http://dx.doi.org/10.1016/j.cimid.2023.102081 | DOI Listing |
Mol Biol (Mosk)
December 2024
Peoples' Friendship University of Russia, Moscow, 117198 Russia.
The E6 and E7 proteins of the high risk human papillomaviruses (HR HPVs) play a key role in the oncogenesis associated with papillomavirus infection. Data on the variability of these proteins are limited, and the factors affecting their variability are still poorly understood. We analyzed the variability of the currently known sequences of the HPV type 16 (HPV16) E6 and E7 proteins, taking into account their geographic origin and year of sample collection, as well as the direction of their evolution in the major geographic regions of the world.
View Article and Find Full Text PDFInt J Antimicrob Agents
December 2024
Department of Clinical Laboratory Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China. Electronic address:
Int J Antimicrob Agents
December 2024
State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, NO. 28 Qiaozhong Middle Rd, Liwan District, Guangzhou, China. Electronic address:
Objectives: The detection rate of vancomycin-resistant Enterococcus faecium (VREfm) displayed a dramatically increase in Guangdong, China from 2021 to 2023, for which the molecular epidemiology and genomic characteristics remain largely unexplored. In this study, we investigated the genetic features and epidemiology of VREfm isolates in Guangdong.
Methods: A total of 54 Guangdong VREfm isolates were collected from three tertiary hospitals in Guangdong.
Brief Bioinform
November 2024
Department of Biosystems Engineering, University of Arizona, Tucson, AZ 85721, United States.
Sequencing-based microbial count data analysis is a challenging task due to the presence of numerous non-biological zeros, which can impede downstream analysis. To tackle this issue, we introduce two novel approaches, PhyImpute and UniFracImpute, which leverage similar microbial samples to identify and impute non-biological zeros in microbial count data. Our proposed methods utilize the probability of non-biological zeros and phylogenetic trees to estimate sample-to-sample similarity, thus addressing this challenge.
View Article and Find Full Text PDFSci Total Environ
December 2024
College of Geographical Science, Fujian Normal University, Fuzhou 350007, China; Fujian Provincial Key Laboratory for Subtropical Resources and Environment, Fujian Normal University, Fuzhou 350007, China.
The interaction between soil dissolved organic matter (DOM) and bacterial communities is critical for understanding key processes in the global carbon cycle. However, the molecular-level associations between these components remain poorly understood. To address this gap, high-resolution Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS) was combined with high-throughput sequencing to examine how DOM composition and bacterial sub-community diversity respond to different levels of nitrogen (N) addition (0, 40, and 80 kg N ha yr) and to explore the relationships between them.
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