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Updated: Feb 14, 2026
11:10
Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3
Published on: December 27, 2010
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HIV-1 genotypic resistance testing using the Vela automated next-generation sequencing platform
Stéphanie Raymond1,2, Florence Nicot2, Romain Carcenac2
1INSERM, U1043, Toulouse F-31300, France.
The Journal of Antimicrobial Chemotherapy
|February 15, 2018
Summary
The Vela next-generation sequencing (NGS) system shows good diagnostic performance for HIV-1 genotyping, with high concordance to direct sequencing. However, it is less sensitive for detecting low-prevalence resistance mutations compared to other NGS platforms.
Area of Science:
- Molecular diagnostics
- Virology
- Next-generation sequencing
Background:
- Accurate human immunodeficiency virus type 1 (HIV-1) genotyping is crucial for guiding antiretroviral therapy.
- Next-generation sequencing (NGS) offers potential for improved HIV-1 drug resistance mutation detection.
Purpose of the Study:
- To evaluate the diagnostic performance of the Vela NGS system for HIV-1 genotyping.
- To compare the Vela NGS system with direct sequencing and other NGS platforms (454 GS-FLX and MiSeq).
Main Methods:
- Plasma RNA extraction and template preparation using the Sentosa SX instrument.
- HIV-1 polymerase sequencing on the Sentosa SQ301 Sequencer (PGM IonTorrent).
- Comparison of Vela NGS with direct sequencing, 454 GS-FLX, and MiSeq for genotypic resistance testing.
Main Results:
- High concordance (97%) between Vela NGS and direct sequencing for resistance mutations in 46 clinical samples.
- Vela NGS detected majority resistance mutations at 500 copies/mL and minority variants at 5% sensitivity at 100,000 copies/mL.
- Vela NGS showed lower sensitivity for detecting low-frequency minority variants (<20%) compared to 454 GS-FLX and MiSeq.
Conclusions:
- The Vela NGS system demonstrates strong analytical performance for HIV-1 genotyping, comparable to direct sequencing.
- The system offers automated workflow from nucleic acid extraction to bioinformatics analysis.
- While effective for majority mutations, the Vela NGS system's sensitivity for minority variants is lower than other leading NGS platforms.
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