Full length L1 retroposons contain tRNA-like sequences near the 5' termini--hypothesis on the replication mechanism of retroposons

A sequence similar to tRNA 3 Lys gene is embedded in HIV-1 U3-R and promotes minus-strand transfer

We identified a sequence embedded in the U3/R region of HIV-1 RNA that is highly complementary to human tRNA₃^Lys. The free energy of annealing to tRNA₃^Lys is significantly lower for this sequence and the primer-binding site than for other similar length viral sequences. The only interruption in complementarity is a 29-nucleotide segment inserted where a tRNA intron would be expected. The insert contains the TATA box for viral RNA transcription. The embedded sequence includes a nine-nucleotide segment previously reported to aid minus strand transfer by binding the primer tRNA₃^Lys. Reconstituting transfer in vitro, we show that including segments from the embedded sequence in the acceptor template, beyond the nine nucleotides, further increases transfer efficiency. We propose that a tRNA₃^Lys gene was incorporated during HIV-1 evolution and retained largely intact because of its roles in transcription and strand transfer.

Identifying potential tRNA genes in genomic DNA sequences

We have developed an algorithm that automatically and reproducibly identifies potential tRNA genes in genomic DNA sequences, and we present a general strategy for testing the sensitivity of such algorithms. This algorithm is useful for the flagging and characterization of long genomic sequences that have not been experimentally analyzed for identification of functional regions, and for the scanning of nucleotide sequence databases for errors in the sequences and the functional assignments associated with them. In an exhaustive scan of the GenBank database, 97.5% of the 744 known tRNA genes were correctly identified (true-positives), and 42 previously unidentified sequences were predicted to be tRNAs. A detailed analysis of these latter predictions reveals that 16 of the 42 are very similar to known tRNA genes, and we predict that they do, in fact, code for tRNA, yielding a false-positive rate for the algorithm of 0.003%. The new algorithm and testing strategy are a considerable improvement over any previously described strategies for recognizing tRNA genes, and they allow detections of genes (including introns) embedded in long genomic sequences.