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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
  • *Corresponding author for this work
  • Queen's University Belfast
  • Plant Pathology Research Division

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)127-131
Number of pages5
JournalFEMS Microbiology Letters
Volume107
Issue number1
DOIs
Publication statusPublished - 15 Feb 1993

Keywords

  • AMBIS
  • Colletotrichum spp.
  • Fungal relationship
  • Mitochondrial DNA polymorphism

ASJC Scopus subject areas

  • Microbiology
  • Molecular Biology
  • Genetics

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