Dataset Information

Bovine leukemia virus long terminal repeat variability: identification of single nucleotide polymorphisms in regulatory sequences.

ABSTRACT: BACKGROUND:Limited data are available on the incidence of variations in nucleotide sequences of long terminal repeat (LTR) regions of Bovine Leukemia Virus (BLV). Consequently, the possible impact of SNPs on BLV LTR function are poorly elucidated. Thus, a detailed and representative study of full-length LTR sequences obtained from sixty-four BLV isolates from different geographical regions of Poland, Moldova, Croatia, Ukraine and Russia were analyzed for their genetic variability. METHODS:Overlap extension PCR, sequencing and Bayesian phylogenetic reconstruction of LTR sequences were performed. These analyses were followed by detailed sequence comparison, estimation of genetic heterogeneity and identification of transcription factor binding site (TFBS) modifications. RESULTS:Phylogenetic analysis of curated LTR sequences and those available in the GenBank database reflected the acknowledged env gene classification of BLV into 10 genotypes, and further clustered analysed sequences into three genotypes - G4, G7 and G8. Additional molecular studies revealed the presence of 97 point mutations distributed at 89 positions throughout all 64 LTR sequences. The highest rate of variability was noted in U3 and U5 subregions. However, the variability in regulatory sequences (VR) was assessed as lower than the variability within non-regulatory sequences (VNR) for both, U3 and U5 subregions. In contrast, VR value for R subregion, as well as for the total LTR, was higher than the VNR suggesting the existence of positive selection. Twelve unique SNPs for these LTR sequences localized in regulatory and non-regulatory elements were identified. The presence of different types of substitutions lead to the abrogation of present or to the creation of additional TFBS. CONCLUSION:This study represents the largest study of LTR genetic variability of BLV field isolates from Eastern part of Europe. Phylogenetic analysis of LTRs supports the clustering BLV variants based on their geographic origin. The SNP screening showed variations modifying LTR regulatory sequences, as well as altering TFBS. These features warrant further exploration as they could be related to proviral load and distinctive regulation of BLV transcription and replication.

SUBMITTER: Pluta A

PROVIDER: S-EPMC6202831 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Bovine leukemia virus long terminal repeat variability: identification of single nucleotide polymorphisms in regulatory sequences.

Pluta Aneta A Rola-Łuszczak Marzena M Douville Renée N RN Kuźmak Jacek J

Virology journal 20181025 1

<h4>Background</h4>Limited data are available on the incidence of variations in nucleotide sequences of long terminal repeat (LTR) regions of Bovine Leukemia Virus (BLV). Consequently, the possible impact of SNPs on BLV LTR function are poorly elucidated. Thus, a detailed and representative study of full-length LTR sequences obtained from sixty-four BLV isolates from different geographical regions of Poland, Moldova, Croatia, Ukraine and Russia were analyzed for their genetic variability.<h4>Met ...[more]

PMID: 30359262

Similar Datasets

Project description:The HIV-2 long terminal repeat (LTR) region contains several transcription factor (TF) binding sites. Efficient LTR transactivation by cellular TF and viral proteins is crucial for HIV-2 reactivation and viral production. Proviral LTRs from 66 antiretroviral-naive HIV-2-infected patients included in the French ANRS HIV-2 CO5 Cohort were sequenced. High genetic variability within the HIV-2 LTR was observed, notably in the U3 subregion, the subregion encompassing most known TF binding sites. Genetic variability was significantly higher in HIV-2 group B than in group A viruses. Notably, all group B viruses lacked the peri-ETS binding site, and 4 group B sequences (11%) also presented a complete deletion of the first Sp1 binding site. The lack of a peri-ETS binding site was responsible for lower transcriptional activity in activated T lymphocytes, while deletion of the first Sp1 binding site lowered basal or Tat-mediated transcriptional activities, depending on the cell line. Interestingly, the HIV-2 cellular reservoir was less frequently quantifiable in patients infected by group B viruses and, when quantifiable, the reservoirs were significantly smaller than in patients infected by group A viruses. Our findings suggest that mutations observed in vivo in HIV-2 LTR sequences are associated with differences in transcriptional activity and may explain the small cellular reservoirs in patients infected by HIV-2 group B, providing new insight into the reduced pathogenicity of HIV-2 infection.IMPORTANCE Over 1 million patients are infected with HIV-2, which is often described as an attenuated retroviral infection. Patients frequently have undetectable viremia and evolve at more slowly toward AIDS than HIV-1-infected patients. Several studies have reported a smaller viral reservoir in peripheral blood mononuclear cells in HIV-2-infected patients than in HIV-1-infected patients, while others have found similar sizes of reservoirs but a reduced amount of cell-associated RNA, suggesting a block in HIV-2 transcription. Recent studies have found associations between mutations within the HIV-1 LTR and reduced transcriptional activities. Until now, mutations within the HIV-2 LTR region have scarcely been studied. We conducted this research to discover if such mutations exist in the HIV-2 LTR and their potential association with the viral reservoir and transcriptional activity. Our study indicates that transcription of HIV-2 group B proviruses may be impaired, which might explain the small viral reservoir observed in patients.

Dataset Information

Bovine leukemia virus long terminal repeat variability: identification of single nucleotide polymorphisms in regulatory sequences.

Publications

Bovine leukemia virus long terminal repeat variability: identification of single nucleotide polymorphisms in regulatory sequences.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets