A STREAMLINED RANDOM SEQUENCING STRATEGY FOR FINDING CODING EXONS

The random (shotgun) DNA sequencing strategy is used for most large-scale sequencing projects, including the identification of human disease genes after positional cloning. The principle of the method-sequence assembly from overlap-requires the candidate gene region to be partitioned into 15- to 20-kb pieces (usually lambda inserts), themselves randomly subcloned into M13 prior to sequencing with a 6- to 8-fold redundancy. Most often, a time-consuming directed strategy must be invoked to close the remaining gaps. Ultimately, computer-based methods are invoked to locate putative coding exons within the finished genomic sequence. Given the small average size of vertebrate exons, I show here that they can be detected from the computer analysis of the individual runs, much before completion of contiguity. However, the successful assessment of coding potential from the raw data depends on a combination of new sequence masking techniques. When the identification of coding exons is the primary goal, the usual random sequencing strategy can thus be greatly optimized. The streamlined approach requires only a 2- to 2.5-fold sequencing re dundancy, can dispense with the subcloning in lambda and the closure of gaps, and can be fully automated. The feasibility of this strategy is demonstrated using data from the X-linked Kallmann syndrome gene region. (C) 1994 Academic Press, Inc.