RESUMO
Recent molecular systematic studies of Cantharellus cibarius sensu lato have revealed previously unknown species in different regions of North America. This study investigates yellow chanterelles in the Midwest using phylogenetic analysis of three DNA regions: nuc rDNA internal transcribed spacer 2 (ITS2) and 28S sequences and translation elongation factor 1α gene (EF1α). This analysis reveals a locally common taxon Cantharellus chicagoensis sp. nov. as distinct from sympatric species present in northeastern Illinois, northwestern Indiana and Wisconsin. This chanterelle features a pileus that often has a greenish yellow margin when immature, a squamulose disk when mature, a yellow spore print and the absence of a fragrant odor. Multiple Cantharellus specimens group with C. flavus and C. phasmatis, expanding their known range, and others with C. roseocanus Our observations highlight the diversity of Cantharellus in midwestern USA and further document the need for additional systematic focus on the region's fungi.
Assuntos
Basidiomycota/classificação , Filogenia , Basidiomycota/genética , Análise por Conglomerados , DNA Fúngico/química , DNA Fúngico/genética , DNA Ribossômico/química , DNA Ribossômico/genética , DNA Espaçador Ribossômico/química , DNA Espaçador Ribossômico/genética , Meio-Oeste dos Estados Unidos , Dados de Sequência Molecular , Fator 1 de Elongação de Peptídeos , RNA Ribossômico 28S/genética , Análise de Sequência de DNARESUMO
Mushroom poisoning is a diagnostic and treatment dilemma for health care professionals. Decisions regarding treatment following ingestions are usually made without a firm identification of the fungus and tend to be more aggressive than necessary. The identification of mushrooms is beyond the scope of health care professionals, and a mycologist is essential to make an accurate identification. Telemedicine and digital imaging is an emerging technology that can assist in mushroom identification and facilitate patient care. The efficacy of using digital images sent over the Internet was tested in a pilot project. This article describes three cases in which digital images and verbal descriptions assisted in mushroom identification. When the actual specimen was sent to a mycologist, a definitive identification was obtained and compared with the presumptive identification. Digital images alone do not permit definitive identification; however, they often contain sufficient information to help the clinician rule out the possibility of a severely toxic species. Data accumulated to date indicate that digital imaging can be an important tool in the diagnosis and treatment of mushroom ingestion, and possibly other biologicals such as plants, insects, and reptiles.
