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Variations in sequence and occurrence of SSU rDNA group I introns in Monilinia fructicola isolates

Marie-José Côté1, Mireille Prud'homme, Allison J Meldrum

  • 1Canadian Food Inspection Agency, Ottawa Laboratory (Fallowfield), Centre for Plant Quarantine Pests, 3851 Fallowfield Road, Ottawa, Ontario, K2H 8P9 Canada.

Mycologia
|December 15, 2010
PubMed

Insights

The Monilinia fructicola ribosomal small-subunit intron is not always present and shows 6 polymorphic types. This finding impacts the reliability of PCR tests for identifying Monilinia fructicola.

Area of Science:

  • Mycology
  • Molecular Biology
  • Plant Pathology

Background:

  • A specific intron in the Monilinia fructicola ribosomal small-subunit gene was previously used for PCR-based identification.
  • Recent observations indicated that this intron may not be consistently present in all M. fructicola isolates, questioning the test's reliability.

Purpose of the Study:

  • To investigate the presence and variability of the ribosomal small-subunit intron in Monilinia fructicola.
  • To understand the genetic basis for the observed inconsistencies in PCR-based identification.

Main Methods:

  • Characterization of a group I intron within the Monilinia fructicola ribosomal small-subunit sequence.
  • Analysis of 13 Monilinia fructicola isolates using PCR and DNA sequencing.
  • Sequence analysis to identify nucleotide variations within the intron.

Main Results:

  • The ribosomal small-subunit intron was absent in 4 out of 13 analyzed M. fructicola isolates.
  • Sequence analysis revealed nucleotide variations leading to the classification of the M. fructicola ribosomal SSU intron into 6 polymorphic types.
  • The presence and characteristics of the intron varied among isolates, explaining PCR test failures.

Conclusions:

  • The ribosomal small-subunit intron is not universally present in Monilinia fructicola.
  • Genetic polymorphism within the intron necessitates re-evaluation of PCR-based identification strategies for M. fructicola.
  • Understanding intron variability is crucial for accurate fungal species identification in plant pathology.

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