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Detecting overlapping coding sequences with pairwise alignments.

Andrew E Firth¹, Chris M Brown

¹Department of Biochemistry, University of Otago, P.O. Box 56, Dunedin, New Zealand.

Bioinformatics (Oxford, England)

|September 7, 2004

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This study introduces novel algorithms to detect double-coding sequences, which are genes that overlap. These methods analyze mutation patterns in pairwise alignments to identify previously undiscovered overlapping genes, particularly in viral genomes.

Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

Overlapping gene coding sequences (CDSs) are common in viruses and complex genomes.
Conventional gene-finding algorithms struggle with overlapping CDSs due to lack of distinct promoters/mRNAs and atypical codon biases.
Overlapping sequences exhibit unique mutation patterns detectable in sequence alignments.

Purpose of the Study:

To investigate statistics for detecting double-coding sequences using pairwise alignments.
To develop a model for the evolutionary processes of double-coding sequences.
To create algorithms for identifying overlapping CDSs based on sequence characteristics.

Main Methods:

Investigated various statistics for detecting double-coding sequences in pairwise alignments.

Related Experiment Videos

Developed a maximum-likelihood method and a model for double-coding sequence evolution.

Generated simulated sequences to characterize statistic distributions under different conditions (composition, length, divergence, frame).

Main Results:

Characterized distributions of detection statistics based on sequence composition, length, divergence, and frame.
Developed and tested algorithms for detecting overlapping CDSs.
Validated algorithms on known overlapping CDSs and ORFs in HBV, E. coli, and S. typhimurium.

Conclusions:

The developed algorithms are effective for detecting overlapping CDSs.
These methods are particularly useful for identifying novel, short overlapping ORFs in viruses.
The study provides tools for advancing the discovery of overlapping genes in diverse genomes.