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Adaptation of automated microbiology identification system (AMBIS) to determine fungal relationships using DNA polymorphisms

  • S. Sreenivasaprasad
    ,
  • Peter R. Mills
    ,
  • Averil E. Brown
  • Queen's University Belfast
    ,
  • Plant Pathology Research Division
Research Output: Contribution to journal Article Peer-review

Abstract

The beta scanner and pattern matching software integrated in the automated microbiology identification system (AMBIS) were used to assess the relatedness of isolates of Colletotrichum acutatum, C. kahawae, C. fragariae, C. gloeosporioides and C. musae based on mitochondrial DNA restriction fragment length polymorphisms. The dendrograms generated reflected the intra-specific variation and inter-specific relationships of these species as determined by other previously reported methods. The adaptability of AMBIS as a rapid method for assessing genetic relatedness of fungal species based on DNA polymorphisms is discussed.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 127-131 (5 pages)

Journal (Volume, Issue Number)

FEMS Microbiology Letters (Volume 107, Issue 1)

Publication milestones

  • Published - 15/02/1993

Publication status

Published - 15/02/1993

ISSN

0378-1097

External Publication IDs

  • Scopus: 0027463056