Related Experiment Video
Updated: Aug 5, 2025

Isolation, Characterization, and Total DNA Extraction to Identify Endophytic Fungi in Mycoheterotrophic Plants
Published on: May 5, 2023
Development of Multiple Nucleotide Polymorphism Molecular Markers for Enoki Mushroom (Flammulina filiformis)
Fei Liu1, Shi-Hui Wang1,2, Ding-Hong Jia3
1State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Abstract:
The enoki mushroom (Flammulina filiformis) is one of the most important and popular edible mushrooms commercially in China. However, traditional mushroom cultivar identification is challenging due to poor accuracy, heavy workloads, and low reproducibility. To overcome this challenge, we developed a method for identifying F. filiformis strains using multiple nucleotide polymorphism sequencing (MNP-seq). This involved screening 179 universal MNP markers based on whole-genome sequencing data, constructing an MNP sequence library, and performing multiplex PCR amplification and high-sequencing. We further screened 69 core MNP markers and used them to build a neighbor-joining (NJ) phylogenetic tree of 232 cultivated and wild strains. Our analysis showed that all cultivars could be accurately separated by computing genetic similarity values and that the cultivars could be separated into 22 distinct evolutionary pedigrees. The specific value of genetic similarity can be used as the standard to distinguish F. filiformis cultivars, however, it needs to be comprehensively defined by the additional phenotype and biological characteristics of those strains in the future work.
More Related Videos
08:55Author Spotlight: Harnessing DNA Barcode Technology to Enhance the Efficiency of Medicinal Plant Identification
Published on: November 1, 2024
09:34Improved Polymerase Chain Reaction-restriction Fragment Length Polymorphism Genotyping of Toxic Pufferfish by Liquid Chromatography/Mass Spectrometry
Published on: September 20, 2016
Related Concept Videos
Modern Molecular Taxonomy
Methods of Classification and Identification