A clustering optimization strategy to estimate species richness of Sebacinales in the tropical Andes based on molecular sequences from distinct DNA regions

Biodiversity and Conservation

Volumn 21, Issue 9, 2012, Pages 2269-2285

  Setaro, Sabrina D ^a   Garnica, Sigisfredo ^b   Herrera, Paulo I ^c   Suárez, Juan Pablo ^c   Göker, Markus ^d  

^a WAKE FOREST UNIVERSITY   (United States)

^b UNIVERSITY OF TÜBINGEN   (Germany)

^c UNIVERSIDAD TÉCNICA PARTICULAR DE LOJA   (Ecuador)

^d LEIBNIZ INSTITUTE DSMZ GERMAN COLLECTION OF MICROORGANISMS AND CELL CULTURES   (Germany)

Author keywords

Biodiversity; Ericaceae; ITS; LSU; Molecular diversity; Mycorrhizal fungi; Orchids; Ribosomal DNA; Species richness; Tropical mountain rain forest

Indexed keywords

ALGORITHM; BIODIVERSITY; CLUSTER ANALYSIS; DNA; ENDEMIC SPECIES; ESTIMATION METHOD; MOLECULAR ANALYSIS; MYCORRHIZA; OPTIMIZATION; RAINFOREST; SPECIES RICHNESS; TAXONOMY;

ANDES; ECUADOR; FRANCE;

BASIDIOMYCOTA; ERICACEAE; FUNGI; ORCHIDACEAE; SEBACINALES;

EID: 84864827148     PISSN: 09603115     EISSN: 15729710     Source Type: Journal    
DOI: 10.1007/s10531-011-0205-y     Document Type: Article

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