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

Fungi are believed to be diverse in the tropics, but because many groups are only known from their DNA sequences this hampers comparative diversity studies. We investigated mycorrhizal Sebacinales (Basidiomycota) of 67 individuals of Ericaceae and Orchidaceae in a tropical mountain ecosystem in Sout...

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Prif Awdur: Herrera Vargas, P. (author)
Awduron Eraill: Goker, M. (author), Suarez Chacon, J. (author), Setaro, S. (author), Garnica, S. (author)
Fformat: article
Cyhoeddwyd: 2017
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Mynediad Ar-lein:http://dx.doi.org/10.1007/s10531-011-0205-y
http://dspace.utpl.edu.ec/handle/123456789/19268
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author Herrera Vargas, P.
author2 Goker, M.
Suarez Chacon, J.
Setaro, S.
Garnica, S.
author2_role author
author
author
author
author_facet Herrera Vargas, P.
Goker, M.
Suarez Chacon, J.
Setaro, S.
Garnica, S.
author_role author
collection Repositorio Universidad Técnica Particular de Loja
dc.creator.none.fl_str_mv Herrera Vargas, P.
Goker, M.
Suarez Chacon, J.
Setaro, S.
Garnica, S.
dc.date.none.fl_str_mv 01/08/2012
2017-06-16T22:03:15Z
2017-06-16T22:03:15Z
dc.identifier.none.fl_str_mv http://dx.doi.org/10.1007/s10531-011-0205-y
9603115
http://dx.doi.org/10.1007/s10531-011-0205-y
http://dspace.utpl.edu.ec/handle/123456789/19268
dc.language.none.fl_str_mv Inglés
dc.publisher.none.fl_str_mv Biodiversity and Conservation
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:Repositorio Universidad Técnica Particular de Loja
instname:Universidad Técnica Particular de Loja
instacron:UTPL
dc.subject.none.fl_str_mv biodiversity
ericaceae
its
lsu
molecular diversity
mycorrhizal fungi
orchids
ribosomal dna
species richness
tropical mountain rain forest
dc.title.none.fl_str_mv A clustering optimization strategy to estimate species richness of Sebacinales in the tropical Andes based on molecular sequences from distinct DNA regions
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description Fungi are believed to be diverse in the tropics, but because many groups are only known from their DNA sequences this hampers comparative diversity studies. We investigated mycorrhizal Sebacinales (Basidiomycota) of 67 individuals of Ericaceae and Orchidaceae in a tropical mountain ecosystem in Southern Ecuador to provide a first estimate of whether these fungi are particularly diverse in the Northern Andes. We partially sequenced the internal transcribed spacer (ITS) and large subunit (LSU) regions of the nuclear ribosomal DNA and analyzed them together with all Sebacinales sequences available from GenBank. The clustering optimization technique was used to determine clustering parameters that maximize the comparability between molecular operational taxonomic units (MOTUs) obtained from the distinct loci. Sampling effort and species richness were estimated with rarefaction-accumulation curves and non-parametric estimation using Chao2 and compared between Southern Ecuador and France. Clustering optimization indicated that a 1% LSU distance threshold corresponds to the commonly used 3% dissimilarity threshold for ITS, and that a clustering algorithm close to single-linkage clustering is optimal. The resulting clusters show that about 8-9% of observed Sebacinales MOTUs occur in the study area and that most of these MOTUs are endemic (74%). The widespread MOTUs from Southern Ecuador were also found in Panama, North America and Europe. The estimation of species richness revealed unsaturated sampling of Sebacinales in general and also in our study area. Our results suggest a high diversity of Sebacinales associated with Ericaceae and Orchidaceae at the study site in Southern Ecuador, but no hotspot of Sebacinales in comparison with other areas. © 2011 Springer Science+Business Media B.V.
eu_rights_str_mv openAccess
format article
id UTPL_16a9a905e4f920f8a11696404e15b6ec
identifier_str_mv 9603115
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institution UTPL
instname_str Universidad Técnica Particular de Loja
language_invalid_str_mv Inglés
network_acronym_str UTPL
network_name_str Repositorio Universidad Técnica Particular de Loja
oai_identifier_str oai:dspace.utpl.edu.ec:123456789/19268
publishDate 2017
publisher.none.fl_str_mv Biodiversity and Conservation
reponame_str Repositorio Universidad Técnica Particular de Loja
repository.mail.fl_str_mv .
repository.name.fl_str_mv Repositorio Universidad Técnica Particular de Loja - Universidad Técnica Particular de Loja
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spelling A clustering optimization strategy to estimate species richness of Sebacinales in the tropical Andes based on molecular sequences from distinct DNA regionsHerrera Vargas, P.Goker, M.Suarez Chacon, J.Setaro, S.Garnica, S.biodiversityericaceaeitslsumolecular diversitymycorrhizal fungiorchidsribosomal dnaspecies richnesstropical mountain rain forestFungi are believed to be diverse in the tropics, but because many groups are only known from their DNA sequences this hampers comparative diversity studies. We investigated mycorrhizal Sebacinales (Basidiomycota) of 67 individuals of Ericaceae and Orchidaceae in a tropical mountain ecosystem in Southern Ecuador to provide a first estimate of whether these fungi are particularly diverse in the Northern Andes. We partially sequenced the internal transcribed spacer (ITS) and large subunit (LSU) regions of the nuclear ribosomal DNA and analyzed them together with all Sebacinales sequences available from GenBank. The clustering optimization technique was used to determine clustering parameters that maximize the comparability between molecular operational taxonomic units (MOTUs) obtained from the distinct loci. Sampling effort and species richness were estimated with rarefaction-accumulation curves and non-parametric estimation using Chao2 and compared between Southern Ecuador and France. Clustering optimization indicated that a 1% LSU distance threshold corresponds to the commonly used 3% dissimilarity threshold for ITS, and that a clustering algorithm close to single-linkage clustering is optimal. The resulting clusters show that about 8-9% of observed Sebacinales MOTUs occur in the study area and that most of these MOTUs are endemic (74%). The widespread MOTUs from Southern Ecuador were also found in Panama, North America and Europe. The estimation of species richness revealed unsaturated sampling of Sebacinales in general and also in our study area. Our results suggest a high diversity of Sebacinales associated with Ericaceae and Orchidaceae at the study site in Southern Ecuador, but no hotspot of Sebacinales in comparison with other areas. © 2011 Springer Science+Business Media B.V.Biodiversity and Conservation2017-06-16T22:03:15Z2017-06-16T22:03:15Z01/08/2012info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1007/s10531-011-0205-y9603115http://dx.doi.org/10.1007/s10531-011-0205-yhttp://dspace.utpl.edu.ec/handle/123456789/19268Inglésinfo:eu-repo/semantics/openAccessreponame:Repositorio Universidad Técnica Particular de Lojainstname:Universidad Técnica Particular de Lojainstacron:UTPL2017-06-16T22:03:15Zoai:dspace.utpl.edu.ec:123456789/19268Institucionalhttps://dspace.utpl.edu.ec/Institución privadahttps://www.utpl.edu.ec/https://dspace.utpl.edu.ec/oai.Ecuador...opendoar:12272017-06-16T22:03:15Repositorio Universidad Técnica Particular de Loja - Universidad Técnica Particular de Lojafalse
spellingShingle A clustering optimization strategy to estimate species richness of Sebacinales in the tropical Andes based on molecular sequences from distinct DNA regions
Herrera Vargas, P.
biodiversity
ericaceae
its
lsu
molecular diversity
mycorrhizal fungi
orchids
ribosomal dna
species richness
tropical mountain rain forest
status_str publishedVersion
title A clustering optimization strategy to estimate species richness of Sebacinales in the tropical Andes based on molecular sequences from distinct DNA regions
title_full A clustering optimization strategy to estimate species richness of Sebacinales in the tropical Andes based on molecular sequences from distinct DNA regions
title_fullStr A clustering optimization strategy to estimate species richness of Sebacinales in the tropical Andes based on molecular sequences from distinct DNA regions
title_full_unstemmed A clustering optimization strategy to estimate species richness of Sebacinales in the tropical Andes based on molecular sequences from distinct DNA regions
title_short A clustering optimization strategy to estimate species richness of Sebacinales in the tropical Andes based on molecular sequences from distinct DNA regions
title_sort A clustering optimization strategy to estimate species richness of Sebacinales in the tropical Andes based on molecular sequences from distinct DNA regions
topic biodiversity
ericaceae
its
lsu
molecular diversity
mycorrhizal fungi
orchids
ribosomal dna
species richness
tropical mountain rain forest
url http://dx.doi.org/10.1007/s10531-011-0205-y
http://dspace.utpl.edu.ec/handle/123456789/19268