The
Human Genome Mapping Project set out to unravel the secrets of the genes by determining the primary sequence of the human genome, but it has become clear that this information is insufficient.
Determination of functional and coding sequences in a primary genome sequence depends on an
a priori knowledge of gene function and on
statistics, and so the information obtained is incomplete and probabilistic. In the May 15
Nature, Manolis Kellis and colleagues at the
Whitehead Institute/Massachusetts Institute of Technology Center for Genome Research develop and apply a general approach to determining regions of significance in primary sequence by whole genome comparison of several related species. They reasoned that evolution would conserve protein coding and regulatory elements and that comparison of more than two genomes would increase the signal:noise ratio by highlighting changes that were not due to chance (
Nature 2003,
423:241-254).
Kellis et al. compared the sequences of four related species of yeast, Saccharomyces cerevisiae, S. paradoxus, S. mikatae, and S. bayanus and employed a "voting system" to reach a conclusion on the validity of theoretical open reading frames (ORFs) and on the accuracy of the determination of proposed gene structures such as promoters, translation start and stop sites, and intron/exon boundaries. They propose to reduce the number of genes in the yeast gene catalogue by eliminating 503 invalid ORFs and to redefine gene structure assignments in at least 300 cases. They identified 188 genes that encode small proteins of <100 amino acids and many new genes and regulatory elements; they were also able to infer functions for more than half of their 42 newly discovered sequence motifs by categorizing the genes associated with them. In addition, they found evidence for rapid genome evolution at all of the telomeres.
"The analyses will produce a substantial revision in our knowledge of the yeast genome and provide strategic directions for how we might select other sequencing targets to advance understanding of the human genome," writes Steven Salzberg of
The Institute for Genomic Research in an accompanying News and Views article. "This new study of yeast genomes makes it clear that comparative genome sequencing has tremendous analytical power," he concludes.
Human Genome Project
http://www.genome.gov/Computational identification of cis-regulatory elements associated with groups of functionally related genes in Saccharomyces cerevisiae.
[
Read the abstract on PubMed]
Greedy mixture learning for multiple motif discovery in biological sequences.
[
Read the abstract on PubMed]
Naturehttp://www.nature.comWhitehead Institute/Massachusetts Institute of Technology Center for Genome Research
http://www-genome.wi.mit.edu/The Institute for Genomic Research
http://www.tigr.org
