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Sugadaira Montane Research Center, University of Tsukuba, Sugadaira, Sanada, Nagano 386-2201, Japan
Yoshihisa Suyama
Graduate School of Agricultural Science, Tohoku University, Kawatabi, Naruko, Miyagi 989-6711, Japan
Makoto Kakishima
Institute of Agriculture and Forestry, University of Tsukuba, Tsukuba, Ibaraki 305-8572, Japan
We investigated intraspecific diversity and genetic structures of a saprotrophic fungusThysanophora penicillioidesbased on sequences of nuclear ribosomal internal transcribed spacer (ITS) in 15 discontinuous Abies mariesii forests of Japan. In such a well-defined morphological species, numerous unexpected ITS variations were revealed: 12 ITS sequence types detected in 254 isolates collected from 15 local populations were classified into five ITS sequence groups. Maximally, four ITS groups consisted of seven ITS types coexisting in one population. However, group 1 was dominant with approximately 65%; in particular, one haplotype, 1a, was most dominant with approximately 60% in respective populations. Therefore, few differences were recognized in genetic structure among local populations, implying that the gene flow of each lineage of the fungus occurs among local populations without geographic limitations. However, minor haplotypes in some ITS groups were found only in restricted areas, suggesting that they might expand steadily from their places of origin to neighboring A. mariesii forests. Aggregating sequence data of seven European strains and four North American strains from various substrates to those of Japanese strains, 18 ITS sequence types and 28 variable sites were recognized. They were clustered into nine lineages by phylogenetic analyses of the ß-tubulin and combined ITS and ß-tubulin datasets. According to phylogenetic species recognition by the concordance of genealogies, respective lineages correspond to phylogenetic species. Plural phylogenetic species coexist in a local population in an A. mariesii forest in Japan.
Key words: Biogeography, ß-tubulin, Cryptic species, Fungal population, Gene flow, rDNA ITS
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