Determining a unique defining DNA sequence for yeast species using hashing techniques.
BACKGROUND
Yeasts are often still identified with physiological growth tests, which are both time consuming and unsuitable for detection of a mixture of organisms. Hence, there is a need for molecular methods to identify yeast species.


RESULTS
A hashing technique has been developed to search for unique DNA sequences in 702 26S rRNA genes. A unique DNA sequence has been found for almost every yeast species described to date. The locations of the unique defining sequences are in accordance with the variability map of large subunit ribosomal RNA and provide detail of the evolution of the D1/D2 region. This approach will be applicable to the rapid identification of unique sequences in other DNA sequence sets.


BACKGROUND
Freely available upon request from the authors.


BACKGROUND
Results are available at http://www.sys.uea.ac.uk/~jjw/project/paper
School of Information Systems, University of East Anglia, Norwich NR4 7TJ, UK. jjw@sys.uea.ac.uk
Jan-Jaap
JJ
Wesselink
Beatriz
B
De La Iglesia
Stephen A
SA
James
Jo L
JL
Dicks
Ian N
IN
Roberts
Vic J
VJ
Rayward-Smith
D000465:Algorithms; D004271:DNA, Fungal / Q000235:genetics*; D030561:Databases, Nucleic Acid; D020459:Genes, rRNA / Q000235:genetics; D008957:Models, Genetic; D015233:Models, Statistical; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D016415:Sequence Alignment / Q000379:methods; D017422:Sequence Analysis, DNA / Q000379:methods*; D016324:Sequence Tagged Sites; D012984:Software; D015003:Yeasts / Q000145:classification / Q000235:genetics*
D004271:DNA, Fungal