[Complete genome sequence of Coxsackievirus B5 (CVB5/09) strain isolated in China and its phylogenetic analysis].

Bing Du Xue Bao

State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100052, China.

Published: July 2010

An outbreak of hand foot and mouth disease occurred in Shang dong, China in 2009. Almost 20% of patient's swabs was positive for Coxsackie virus B5 (CVB5) identified by RT-PCR and sequencing. It was suggested that CVB5 may be another important pathogen for HFMD. Fifteen pairs of overlapping primers were designed and the genome sequence was sequenced. The genome of CVB5 was 7 399 nt in length, coding for 2 185aa. The genome displayed 80.6%-85.3% nucleotide sequence identity and 96.1%-96.9% amino acid sequence identity with another three CVB5 respectively. Phylogenetic analysis showed that different segment of genome underwent a distinct evolutionary and selective pressure. Simplot analysis displayed no evident recombination between genome of CVB5 and other HEV B viruses. The complete and characterized genome of CVB5/09 provides further insight into the genetics of CVB5 and other HEV B viruses, aiding in the surveillance and control of HFMD.

Download full-text PDF

Source

Publication Analysis

Top Keywords

genome sequence
8
genome cvb5
8
sequence identity
8
cvb5 hev
8
hev viruses
8
cvb5
6
genome
6
[complete genome
4
sequence
4
sequence coxsackievirus
4

Similar Publications

Introduction: Spondyloepimetaphyseal dysplasia with joint laxity type 1 (SEMD-JL1) is an extremely rare skeletal dysplasia belonging to a group of disorders called linkeropathies. It is characterized by skeletal and connective tissue abnormalities. Biallelic variants in genes encoding enzymes that synthesize the tetrasaccharide linker region of glycosaminoglycans lead to linkeropathies, which exhibit clinical and phenotypic features that overlap with each other.

View Article and Find Full Text PDF

Introduction: Agrin, encoded by AGRN, plays a vital role in the acetylcholine receptor clustering pathway, and any defects in this pathway are known to cause congenital myasthenic syndrome (CMS) 8 in early childhood with variable fatigable muscle weakness. The most severe or lethal form of CMS manifests as a fetal akinesia deformation sequence (FADS). To date, only one family has been reported with an association of null variants in AGRN and a lethal FADS.

View Article and Find Full Text PDF

Quantitative Analysis of Hepatitis D Virus Using gRNA-Sensitive Semiconducting Polymer Dots.

Anal Chem

January 2025

State Key Laboratory of Integrated Optoelectronics, College of Electronics Science and Engineering, Jilin University, No. 2699 Qianjin Street, Changchun, Jilin 130012, P. R. China.

Hepatitis D virus (HDV) significantly influences the progression of liver diseases. Through clinical observations and database analyses, it has been established that patients coinfected with HDV and hepatitis B virus (HBV) experience accelerated progression toward cirrhosis, hepatocellular carcinoma (HCC), and liver failure compared to those infected solely with HBV. A higher viral load correlates with increased replicative activity, enhanced infectivity, and more severe disease manifestations.

View Article and Find Full Text PDF

Recent advances in genome editing tools and CRISPR-Cas technologies have enabled plant genome engineering reach new heights. The current regulatory exemptions for certain categories of genome edited products, such as those derived from SDN-1 and SDN-2, which are free of any transgene, have significantly accelerated genome editing research in a number of agricultural crop plants in different countries. Although CRISPR-Cas technology is becoming increasingly popular, it is still important to carefully consider a number of factors before planning and carrying conducting CRISPR-Cas studies.

View Article and Find Full Text PDF

Advances in modeling cellular state dynamics: integrating omics data and predictive techniques.

Anim Cells Syst (Seoul)

January 2025

Department of Genome Medicine and Science, Gachon University College of Medicine, Incheon, Republic of Korea.

Dynamic modeling of cellular states has emerged as a pivotal approach for understanding complex biological processes such as cell differentiation, disease progression, and tissue development. This review provides a comprehensive overview of current approaches for modeling cellular state dynamics, focusing on techniques ranging from dynamic or static biomolecular network models to deep learning models. We highlight how these approaches integrated with various omics data such as transcriptomics, and single-cell RNA sequencing could be used to capture and predict cellular behavior and transitions.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!