Identifying integration sites of the HIV-1 genome with intact and aberrant ends through deep sequencing

HIVID2: an accurate tool to detect virus integrations in the host genome

MOTIVATION

Virus integration in the host genome is frequently reported to be closely associated with many human diseases, and the detection of virus integration is a critically challenging task. However, most existing tools show limited specificity and sensitivity. Therefore, the objective of this study is to develop a method for accurate detection of virus integration into host genomes.

RESULTS

Herein, we report a novel method termed HIVID2 that is a significant upgrade of HIVID. HIVID2 performs a paired-end combination (PE-combination) for potentially integrated reads. The resulting sequences are then remapped onto the reference genomes, and both split and discordant chimeric reads are used to identify accurate integration breakpoints with high confidence. HIVID2 represents a great improvement in specificity and sensitivity, and predicts breakpoints closer to the real integrations, compared with existing methods. The advantage of our method was demonstrated using both simulated and real data sets. HIVID2 uncovered novel integration breakpoints in well-known cervical cancer-related genes, including FHIT and LRP1B, which was verified using protein expression data. In addition, HIVID2 allows the user to decide whether to automatically perform advanced analysis using the identified virus integrations. By analyzing the simulated data and real data tests, we demonstrated that HIVID2 is not only more accurate than HIVID but also better than other existing programs with respect to both sensitivity and specificity. We believe that HIVID2 will help in enhancing future research associated with virus integration.

AVAILABILITY

HIVID2 can be accessed at https://github.com/zengxi-hada/HIVID2/.

CONTACT

Xi Zeng (zengxi@mail.hzau.edu.cn), Linghao Zhao (michael_yifan@126.com).

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

Impact of long-term antiretroviral therapy on gut and oral microbiotas in HIV-1-infected patients

In HIV-1-infected patients, antiretroviral therapy (ART) is a key factor that may impact commensal microbiota and cause the emergence of side effects. However, it is not fully understood how long-term ART regimens have diverse impacts on the microbial compositions over time. Here, we performed 16S ribosomal RNA gene sequencing of the fecal and salivary microbiomes in patients under different long-term ART. We found that ART, especially conventional nucleotide/nucleoside reverse transcriptase inhibitor (NRTI)-based ART, has remarkable impacts on fecal microbial diversity: decreased α-diversity and increased ß-diversity over time. In contrast, dynamic diversity changes in the salivary microbiome were not observed. Comparative analysis of bacterial genus compositions showed a propensity for Prevotella-enriched and Bacteroides-poor gut microbiotas in patients with ART over time. In addition, we observed a gradual reduction in Bacteroides but drastic increases in Succinivibrio and/or Megasphaera under conventional ART. These results suggest that ART, especially NRTI-based ART, has more suppressive impacts on microbiota composition and diversity in the gut than in the mouth, which potentially causes intestinal dysbiosis in patients. Therefore, NRTI-sparing ART, especially integrase strand transfer inhibitor (INSTI)- and/or non-nucleotide reverse transcriptase inhibitor (NNRTI)-containing regimens, might alleviate the burden of intestinal dysbiosis in HIV-1-infected patients under long-term ART.

Transcriptional behavior of the HIV-1 promoter in context of the BACH2 prominent proviral integration gene

Chronic infection with human immunodeficiency virus (HIV)-1 is characterized by accumulation of proviral sequences in the genome of target cells. Integration of viral DNA in patients on long-term antiretroviral therapy selectively persists at preferential loci, suggesting site-specific crosstalk of viral sequences and human genes. This crosstalk likely contributes to chronic HIV disease through modulation of host immune pathways and emergence of clonal infected cell populations. To systematically interrogate such effects, we undertook genome engineering to generate Jurkat cell models that replicate integration of HIV-1 long terminal repeat (LTR) sequences at the BTB and CNC Homolog 2 (BACH2) integration locus. This locus is a prominent HIV-1 integration gene in chronic infection, found in 30 % of long-term treated patients with mapped proviral integrations. Using five clonal models carrying an LTR-driven reporter at different BACH2 intergenic regions, we here show that LTR transcriptional activity is repressed in BACH2 regions associated with proviral-DNA integrations in vivo but not in a control region. Our data indicates that this repression is in part epigenetically regulated, particularly through DNA methylation. Importantly, we demonstrate that transcriptional activity of the LTR is independent of BACH2 gene transcription and vice versa in our models. This suggests no transcriptional interference of endogenous and HIV-1 promoters. Taken together, our study provides first insights into how activity of HIV-1 LTR sequences is regulated at the BACH2 locus as prominent example for a recurrently-detected integration gene in chronic infection. Given the importance of integration-site dependent virus/host crosstalk for chronic HIV disease, our findings for the BACH2 locus have potential implications for future therapeutic strategies.