AI Article Synopsis

  • The study aimed to reliably detect HIV minority resistant variants (MRVs) by analyzing ultra-deep sequencing data using different bioinformatics analysis pipelines.
  • Researchers collected sequences from antiretroviral-naïve patients using two sequencing platforms, GS-Junior® and MiSeq®, and defined MRVs as variants with resistance mutations at a frequency of 1%-20%.
  • The analysis revealed strong correlations between different analysis tools, but highlighted the importance of focusing on low-level MRVs, suggesting a 2% frequency threshold and the benefit of using multiple pipelines for accuracy.

Article Abstract

Objective: Reliable detection of HIV minority resistant variants (MRVs) requires bioinformatics analysis with specific algorithms to obtain good quality alignments. The aim of this study was to analyze ultra-deep sequencing (UDS) data using different analysis pipelines.

Methods: HIV-1 protease, reverse transcriptase (RT) and integrase sequences from antiretroviral-naïve patients were obtained using GS-Junior® (Roche) and MiSeq® (Illumina) platforms. MRVs were defined as variants harbouring resistance-mutation present at a frequency of 1%-20%. Reads were analyzed using different alignment algorithms: Amplicon Variant Analyzer®, Geneious® compared to SmartGene® NGS HIV-1 module.

Results: 101 protease and 51 RT MRVs identified in 139 protease and 124 RT sequences generated with a GS-Junior® platform were analyzed using AVA® and SmartGene® software. The correlation coefficients for the MRVs were R2 = 0.974 for protease and R2 = 0.972 for RT. Discordances (n = 13 in protease and n = 15 in RT) mainly concerned low-level MRVs (i.e., with frequencies of 1%-2%, n = 18/28) and they were located in homopolymeric regions (n = 10/15). Geneious® and SmartGene® software were used to analyze 143 protease, 45 RT and 26 integrase MRVs identified in 172 protease, 69 RT, and 72 integrase sequences generated with a MiSeq® platform. The correlation coefficients for the MRVs were R2 = 0.987 for protease, R2 = 0.995 for RT and R2 = 0.993 for integrase. Discordances (n = 9 in protease, n = 3 in RT, and n = 3 in integrase) mainly concerned low-level MRVs (n = 13/15).

Conclusion: We found an excellent correlation between the various UDS analysis pipelines that we tested. However, our results indicate that specific attention should be paid to low-level MRVs, for which the use of two different analysis pipelines and visual inspection of sequences alignments might be beneficial. Thus, our results argue for use of a 2% threshold for MRV detection, rather than the 1% threshold, to minimize misalignments and time-consuming sight reading steps essential to ensure accurate results for MRV frequencies below 2%.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5983569PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0198334PLOS

Publication Analysis

Top Keywords

analysis pipelines
12
low-level mrvs
12
protease integrase
12
mrvs
9
protease
9
minority resistant
8
resistant variants
8
integrase sequences
8
mrvs identified
8
sequences generated
8

Similar Publications

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!