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Analysis of HIV type 1 reverse transcriptase: comparing sequences of viral isolates with mutational data
J A Wrobel1, M J Conrad, E Bloedon
1Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.
AIDS Research and Human Retroviruses
|January 12, 2001
Summary
Most human immunodeficiency virus type 1 (HIV-1) sequences in databases may not be infectious due to high mutation rates. Analyzing reverse transcriptase sequences can help identify non-infectious viral strains.
Area of Science:
- Virology
- Molecular Biology
- Genetics
Background:
- High mutation rates during human immunodeficiency virus type 1 (HIV-1) replication lead to many defective, non-infectious virions and proviruses.
- The Los Alamos HIV-1 sequence database contains extensive sequence data, but the infectious nature of most entries is unconfirmed.
- Determining the infectivity of viral sequences is crucial for accurate research and therapeutic development.
Purpose of the Study:
- To evaluate the infectivity of HIV-1 sequences in the Los Alamos database.
- To develop a method for predicting whether HIV-1 sequences are derived from infectious clones.
Main Methods:
- Conducted saturation mutagenesis on a 109-amino acid region of HIV-1 reverse transcriptase, assaying 366 single-amino acid substitutions.
- Analyzed sequences from the Los Alamos HIV-1 sequence database.
- Compared sequence data with known effects of amino acid substitutions on reverse transcriptase activity.
Main Results:
- No sequences from confirmed stable infectious clones exhibited substitutions that inactivate reverse transcriptase.
- Identified numerous sequences in the database with inactivating reverse transcriptase substitutions.
- These findings suggest that sequences with inactivating mutations are unlikely to originate from infectious clones.
Conclusions:
- The presence of inactivating mutations in reverse transcriptase can serve as a reliable indicator of non-infectious HIV-1 sequences.
- This approach can help filter and validate viral sequences for research purposes.
- The methodology may be applicable to assessing the sequences of other viruses.