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Updated: Sep 18, 2025

Measurement of BK-polyomavirus Non-Coding Control Region Driven Transcriptional Activity Via Flow Cytometry
Published on: July 13, 2019
Single-nucleotide polymorphisms within the BK polyomavirus non-coding control region are genotype-associated
Tiana A Walder1, Elizabeth A Odegard1, Heidi L Meeds1
1Division of Digestive Diseases, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Genotype-associated polymorphisms (GAPs) in the BK polyomavirus (BKPyV) non-coding control region are linked to specific genotypes. These GAPs can identify BKPyV strains and offer insights into viral disease mechanisms.
Area of Science:
- Virology
- Molecular Biology
- Genetics
Background:
- BK polyomavirus (BKPyV) is a significant cause of complications in transplant recipients, including hemorrhagic cystitis and nephropathy.
- Understanding the genetic diversity of BKPyV is crucial for improving transplant outcomes and exploring disease mechanisms.
Purpose of the Study:
- To investigate genotype-associated polymorphisms (GAPs) within the non-coding control region (NCCR) of BKPyV.
- To determine if GAPs can be used for genotyping clinical BKPyV strains and identify potential functional sites.
Main Methods:
- Analysis of BKPyV genome sequences to identify mutations within the NCCR.
- Correlation of identified mutations with known BKPyV genotypes.
- Bioinformatic prediction of transcription factor binding sites within the NCCR.
Main Results:
- Many point mutations in the BKPyV NCCR are genotype-associated, termed genotype-associated polymorphisms (GAPs).
- GAPs correlate with hypervariable regions and are inherent to specific BKPyV genotypes.
- GAPs were found within predicted transcription factor binding sites, suggesting functional relevance.
Conclusions:
- GAPs in the BKPyV NCCR are reliable markers for genotyping clinical strains.
- These GAPs represent potential targets for functional studies into BKPyV pathogenesis.
- Understanding BKPyV genomic diversity, including GAPs, can enhance screening and elucidate disease factors.
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