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作 者:Rui-lin ZHAO Dennis E. DESJARDIN Kasem SOYTONG Kevin D. HYDE
机构地区:[1]Faculty of Biology Conservation, Southwest Forestry University, Kunming 650224, China [2]Department of Biology, San Francisco State University, San Francisco, California 94132, USA [3]Faculty of Agricultural Technology, King Mongkut's Institute of Technology Ladkrabang (KMITL), Ladkrabang, Bangkok 10520, Thailand [4]International Fungal Resource and Development Centre, the Research Institute of Resources Insects, Chinese Academy of Forestry, Kunming 650224, China [5]Fungal Research Group, School of Science, Mae Fah Luang University, Tasud, Chiang Rai 57100, Thailand
出 处:《Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)》2008年第10期779-786,共8页浙江大学学报(英文版)B辑(生物医学与生物技术)
摘 要:We present an overview of previous research results on the molecular phylogenetic analyses in Agaricales and its higher ranks (Agaricomycetes/Agaricomycotina/Basidiomycota) along with the most recent treatments of taxonomic systems in these taxa. Establishing phylogenetic hypotheses using DNA sequences, from which an understanding of the natural evolutionary relationships amongst clades may be derived, requires a robust dataset. It has been recognized that single-gene phylogenies may not truly represent organismal phylogenies, but the concordant phylogenetic genealogies from multiple-gene datasets can resolve this problem. The genes commonly used in mushroom phylogenetic research are summarized.We present an overview of previous research results on the molecular phylogenetic analyses in Agaricales and its higher ranks (Agaricomycetes/Agaricomycotina/Basidiomycota) along with the most recent treatments of taxonomic systems in these taxa. Establishing phylogenetic hypotheses using DNA sequences, from which an understanding of the natural evolutionary relationships amongst clades may be derived, requires a robust dataset. It has been recognized that single-gene phylogenies may not truly represent organismal phylogenies, but the concordant phylogenetic genealogies from multiple-gene datasets can resolve this problem. The genes commonly used in mushroom phylogenetic research are summarized.
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