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Genetic diversity and population structure of Raffaelea quercus‐mongolicae, a fungus associated with oak mortality in South Korea

Overview of attention for article published in European Journal of Forest Pathology, February 2016
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Article details
Title
Genetic diversity and population structure of Raffaelea quercus‐mongolicae, a fungus associated with oak mortality in South Korea
Published in
European Journal of Forest Pathology, February 2016
DOI 10.1111/efp.12263
Pubmed ID
Authors
Abstract

Raffaelea quercus-mongolicae is a fungus associated with oak wilt and deemed to cause extensive oak mortality in South Korea. Since the discovery of this fungus on a dead Mongolian oak (Quercus mongolica) in 2004, the mortality continued to spread southwards in South Korea. Despite continued expansion of the disease and associated significant impacts on forest ecosystems, information is lacking about the origin and genetic diversity of R. quercus-mongolicae. Restriction-site-Associated DNA (RAD) sequencing was used to assess genetic diversity and population structure among five populations (provinces) of R. quercus-mongolicae in South Korea. In total, 179 single nucleotide polymorphisms (SNPs) were identified among 2,639 RAD loci across the nuclear genome of the 54 R. quercus-mongolicae isolates (0.0012 SNPs per bp), which displayed an overall low expected heterozygosity and no apparent population structure. The low genetic diversity and no apparent population structure among South Korean populations of this ambrosia beetle-vectored fungus supports the hypothesis that this fungus was introduced to South Korea.

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The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 7 35%
Student > Master 5 25%
Student > Ph. D. Student 3 15%
Other 1 5%
Student > Doctoral Student 1 5%
Other 1 5%
Unknown 2 10%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 13 65%
Environmental Science 2 10%
Earth and Planetary Sciences 2 10%
Medicine and Dentistry 1 5%
Unknown 2 10%