Predicting genes expressed via -1 and +1 frameshifts

Area of Science:

• Genomics
• Bioinformatics
• Molecular Biology

Background:

• Ribosomal frameshifting is a complex decoding process crucial for gene expression regulation.
• Computational identification of frameshift sites is challenging due to sequence diversity.
• Understanding frameshifting aids in discovering novel genes and deciphering gene expression mechanisms.

Purpose of the Study:

• To develop a computational algorithm for identifying ribosomal frameshift sites in genomic and mRNA sequences.
• To implement the algorithm as a user-friendly web-based program, FSFinder.
• To enhance the discovery of genes utilizing alternative decoding mechanisms.

Main Methods:

• Developed a novel algorithm to search genomic or mRNA sequences for frameshifting sites.
• Implemented the algorithm as the FSFinder web program, focusing on -1 and +1 frameshifts.
• Tested FSFinder on approximately 190 genomic and partial DNA sequences across various organisms.

Main Results:

• FSFinder demonstrated efficient prediction of frameshift sites.
• The tool achieved greater sensitivity by considering known frameshifting cassette components on both DNA strands.
• Increased specificity was achieved by focusing on overlapping open reading frames and prioritizing candidate sites.

Conclusions:

• FSFinder is a sensitive and specific tool for identifying ribosomal frameshift sites.
• The program facilitates the discovery of unknown genes employing alternative decoding strategies.
• FSFinder is freely accessible, supporting research in gene discovery and frameshift site analysis.