Determining a unique defining DNA sequence for yeast species using hashing techniques

Jan Jaap Wesselink; Beatriz De La Iglesia; Stephen A. James; Jo L. Dicks; Ian N. Roberts; Vic J. Rayward-Smith

doi:10.1093/bioinformatics/18.7.1004

Determining a unique defining DNA sequence for yeast species using hashing techniques

Jan Jaap Wesselink^*, Beatriz De La Iglesia, Stephen A. James, Jo L. Dicks, Ian N. Roberts, Vic J. Rayward-Smith

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

15 Citations (Scopus)

Abstract

Motivation: 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.

Original language	English
Pages (from-to)	1004-1010
Number of pages	7
Journal	Bioinformatics
Volume	18
Issue number	7
DOIs	https://doi.org/10.1093/bioinformatics/18.7.1004
Publication status	Published - 2002
Externally published	Yes

Bibliographical note

Funding Information:
This work was supported by BBSRC Grant Ref. No. 83/BIO 12037.

Access to Document

10.1093/bioinformatics/18.7.1004

Cite this

@article{553d496ddb0d4c7db77a4d9af58ba532,

title = "Determining a unique defining DNA sequence for yeast species using hashing techniques",

abstract = "Motivation: 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.",

author = "Wesselink, {Jan Jaap} and {De La Iglesia}, Beatriz and James, {Stephen A.} and Dicks, {Jo L.} and Roberts, {Ian N.} and Rayward-Smith, {Vic J.}",

note = "Funding Information: This work was supported by BBSRC Grant Ref. No. 83/BIO 12037.",

year = "2002",

doi = "10.1093/bioinformatics/18.7.1004",

language = "English",

volume = "18",

pages = "1004--1010",

journal = "Bioinformatics",

issn = "1367-4803",

publisher = "Oxford University Press",

number = "7",

}

TY - JOUR

T1 - Determining a unique defining DNA sequence for yeast species using hashing techniques

AU - Wesselink, Jan Jaap

AU - De La Iglesia, Beatriz

AU - James, Stephen A.

AU - Dicks, Jo L.

AU - Roberts, Ian N.

AU - Rayward-Smith, Vic J.

N1 - Funding Information: This work was supported by BBSRC Grant Ref. No. 83/BIO 12037.

PY - 2002

Y1 - 2002

N2 - Motivation: 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.

AB - Motivation: 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.

UR - http://www.scopus.com/inward/record.url?scp=0036324796&partnerID=8YFLogxK

U2 - 10.1093/bioinformatics/18.7.1004

DO - 10.1093/bioinformatics/18.7.1004

M3 - Article

C2 - 12117799

AN - SCOPUS:0036324796

SN - 1367-4803

VL - 18

SP - 1004

EP - 1010

JO - Bioinformatics

JF - Bioinformatics

IS - 7

ER -

Determining a unique defining DNA sequence for yeast species using hashing techniques

Abstract

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this