Molecular Markers for Detecting a Wide Range of spp. that Might Potentially Cause Green Mold in .

Song Hee Lee, Hwa Jin Jung, Seung-Beom Hong, Jong In Choi, Jae-San Ryu
Author Information
  1. Song Hee Lee: Department of Mushroom Science, Korea National College of Agriculture and Fisheries, Jeonju, Korea.
  2. Hwa Jin Jung: Department of Mushroom Science, Korea National College of Agriculture and Fisheries, Jeonju, Korea.
  3. Seung-Beom Hong: Korean Agricultural Culture Collection, Agricultural Microbiology Division, National Academy of Agricultural Science, Rural Development Administration, Wanju, Korea.
  4. Jong In Choi: Mushroom Research Institute, GARES, Gwangju, Republic of Korea.
  5. Jae-San Ryu: Department of Mushroom Science, Korea National College of Agriculture and Fisheries, Jeonju, Korea.

Abstract

In sp., green mold, which is considered a major epidemic, is caused by several species. To develop a rapid molecular marker specific for spp. that potentially cause green mold, eleven species were collected from mushroom farms and the Korean Agricultural Culture Collection (KACC). A dominant fungal isolate from a green mold-infected substrate was identified as based on the sequences of its internal transcribed spacer (ITS) and translation elongation factor 1-α () genes. In artificial inoculation tests, all spp., including , cf. , , , , , , and , showed pathogenicity to some extent, and the observed symptoms were soaked mycelia with a red-brown pigment and retarded mycelium regeneration. A molecular marker was developed for the rapid detection of wide range of spp. based on the DNA sequence alignment of the ITS1 and ITS2 regions of spp. The developed primer set detected only spp., and no cross reactivity with edible mushrooms was observed. The detection limits for the PCR assay of (KACC40558), (KACC44537), and (CAF-TP3) were found to be 500, 50, and 5 fg, respectively, and the detection limit for the pathogen-to-host ratio was approximately 1:10,000 (wt/wt).

Keywords

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Word Cloud

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