Genotyping Hepatitis B virus by Next-Generation Sequencing: Detection of Mixed Infections and Analysis of Sequence Conservation.
Eva DopicoMarta VilaDavid TaberneroJosep GregoriAriadna RandoBeatriz Pacín-RuízLaura GuerreroItziar UbillosMiguel Julián Martínez YoldiJosep CostaJosep QuerJavier Pérez-GarretaAlejandra González-SánchezAndrés AntónTomás PumarolaMar Riveiro-BarcielaRoser Ferrer-CostaMaria ButiFrancisco Rodriguez-FríasMaría Francesca CortesePublished in: International journal of molecular sciences (2024)
Our aim was to develop an accurate, highly sensitive method for HBV genotype determination and detection of genotype mixtures. We examined the preS and 5' end of the HBV X gene (5X) regions of the HBV genome using next-generation sequencing (NGS). The 1852 haplotypes obtained were subjected to genotyping via the Distance-Based discrimination method (DB Rule) using two sets of 95 reference sequences of genotypes A-H. In clinical samples from 125 patients, the main genotypes were A, D, F and H in Caucasian, B and C in Asian and A and E in Sub-Saharan patients. Genotype mixtures were identified in 28 (22.40%) cases, and potential intergenotypic recombination was observed in 29 (23.20%) cases. Furthermore, we evaluated sequence conservation among haplotypes classified into genotypes A, C, D, and E by computing the information content. The preS haplotypes exhibited limited shared conserved regions, whereas the 5X haplotypes revealed two groups of conserved regions across the genotypes assessed. In conclusion, we developed an NGS-based HBV genotyping method utilizing the DB Rule for genotype classification. We identified two regions conserved across different genotypes at 5X, offering promising targets for RNA interference-based antiviral therapies.
Keyphrases
- hepatitis b virus
- end stage renal disease
- liver failure
- genome wide
- ejection fraction
- chronic kidney disease
- transcription factor
- high throughput
- peritoneal dialysis
- copy number
- prognostic factors
- machine learning
- healthcare
- ionic liquid
- gene expression
- deep learning
- high resolution
- single cell
- patient reported outcomes
- oxidative stress
- dna methylation
- mass spectrometry
- climate change
- risk assessment
- label free
- sensitive detection
- human health