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Establishing an Interactive Sequence Database for Shiitake Cultivar Identification.

Jie-Hao Ou1, Han-Yun Li2, Yun-Shen Lu3

  • 1Tohoku Agricultural Research Center, National Agriculture and Food Research Organization, Morioka, Japan.

Journal of Basic Microbiology
|November 6, 2024
PubMed
Summary
This summary is machine-generated.

Identifying shiitake mushroom (Lentinula edodes) cultivars is now more precise. Nanopore sequencing of the IGS1 region and a new online database improve shiitake cultivar identification for breeding and resource management.

Keywords:
IGS polymorphismSmith–Waterman algorithminteractive databaselong‐range PCRnontranscribed intergenic spacerthird‐generation sequencing

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Area of Science:

  • Mycology
  • Genomics
  • Bioinformatics

Background:

  • Shiitake mushrooms (Lentinula edodes) are economically important with over 200 cultivars, necessitating accurate identification for breeding and genetic resource management.
  • Traditional morphological identification methods for shiitake cultivars are subjective and labor-intensive, hindering efficient management and breeding programs.

Purpose of the Study:

  • To develop a reliable and efficient method for differentiating shiitake mushroom (Lentinula edodes) cultivars using molecular techniques.
  • To create a user-friendly online tool for rapid and accurate shiitake cultivar identification.

Main Methods:

  • High-throughput nanopore sequencing was used to analyze ribosomal DNA (rDNA) regions (SSU, ITS, LSU, IGS) in 41 shiitake strains.
  • The Intergenic Spacer 1 (IGS1) region was identified as the most variable and informative for cultivar discrimination.
  • An interactive online database was developed, integrating 317 IGS1 sequences from Taiwan, Japan, and China.

Main Results:

  • The IGS1 region demonstrated significant variability, proving highly effective for distinguishing between different shiitake mushroom (Lentinula edodes) cultivars.
  • An online database was successfully created, enabling users to upload IGS1 sequences for cultivar identification.
  • The developed platform enhances the precision and efficiency of shiitake cultivar identification, supporting breeding and genetic resource management.

Conclusions:

  • The IGS1 region is a robust molecular marker for shiitake mushroom (Lentinula edodes) cultivar identification.
  • The interactive online database provides a valuable resource for researchers and breeders, improving the management of shiitake genetic diversity.
  • This study offers a significant advancement over traditional methods, facilitating more accurate and efficient shiitake cultivar identification.