Molecular identification of white morphotype strains of endophytic fungi from Pinus tabulaeformis

Liang Dong Guo1, Guo R Huang, Yu Wang

  • 1Systematic Mycology & Lichenology Laboratory, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100080, People's Republic of China. guold@sun.im.ac.cn

Mycological Research
|September 4, 2003
PubMed

Insights

DNA sequencing identified white morphotype fungi from Pinus tabulaeformis. These sterile mycelia were classified into Ascomycota, including Lophodermium, Rosellinia, and Xylariaceae species, showcasing DNA analysis for endophytic fungi identification.

Area of Science:

  • Mycology
  • Plant Pathology
  • Molecular Biology

Background:

  • Sterile mycelia with white morphotypes were isolated from Pinus tabulaeformis.
  • Fungal identification is crucial for understanding endophytic communities and their ecological roles.

Purpose of the Study:

  • To identify sterile white morphotype mycelia isolated from Pinus tabulaeformis using molecular methods.
  • To evaluate the utility of nuclear ribosomal DNA (nrDNA) sequence analysis for fungal identification.

Main Methods:

  • Isolation and culturing of sterile mycelia from Pinus tabulaeformis.
  • Amplification and sequencing of the 5.8S gene and internal transcribed spacer (ITS1 and ITS2) regions of nrDNA.
  • Phylogenetic analysis and sequence similarity comparison for taxonomic identification.

Main Results:

  • Phylogenetic analysis of the 5.8S gene confirmed the isolates belong to the Ascomycota phylum.
  • ITS region analysis identified specific genera: Lophodermium and other Rhytismataceae, Rosellinia, Entoleuca, Nemania, and other xylariaceous species.
  • The study successfully identified 18 distinct fungal strains, revealing a diverse Ascomycota community within the host plant.

Conclusions:

  • Nuclear ribosomal DNA sequence analysis, particularly ITS regions, is a reliable method for identifying endophytic fungi.
  • The identified fungi represent diverse genera within Ascomycota, contributing to the endophytic mycobiota of Pinus tabulaeformis.
  • This molecular approach enhances the accuracy and efficiency of fungal taxonomy and ecological studies.

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