Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Recolector de Cienci...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Fungal Biology
Article . 2014 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
DIGITAL.CSIC
Article . 2018 . Peer-reviewed
Data sources: DIGITAL.CSIC
Fungal Biology
Article . 2015
versions View all 4 versions
addClaim

Species identification in the genus Saprolegnia (Oomycetes): Defining DNA-based molecular operational taxonomic units

Authors: Sandoval-Sierra, J. V.; Martín, María P.; Dieguez-Uribeondo, Javier;

Species identification in the genus Saprolegnia (Oomycetes): Defining DNA-based molecular operational taxonomic units

Abstract

The lack of a robust taxonomy in the genus Saprolegnia is leading to the presence of incorrectly named isolates in culture collections and of an increasing number of misassigned sequences in DNA databases. Accurate species delimitation is critical for most biological disciplines. A recently proposed approach to solve species delimitation (taxonomic diagnosis system) of difficult organisms is the definition of molecular operational taxonomic units (MOTUs). We have used 961 sequences of nrDNA ITS from culture collections (461 sequences) and GenBank (500 sequences), to perform phylogenetic and clustering optimization analyses. As result, we have identified 29 DNA-based MOTUs in agreement with phylogenetic studies. The resulting molecular clusters support the validity of 18 species of Saprolegnia and identify 11 potential new ones. We have also listed a number of incorrectly named isolates in culture collections, misassigned species names to GenBank sequences, and reference sequences for the species. We conclude that GenBank represents the main source of errors for identifying Saprolegnia species since it possesses sequences with misassigned names and also sequencing errors. The presented taxonomic diagnosis system might help setting the basis for a suitable identification of species in this economically important genus.

Country
Spain
Related Organizations
Keywords

Molecular Sequence Data, Sequence Analysis, DNA, Saprolegnia, GenBank, DNA, Algal, DNA, Ribosomal Spacer, Cluster Analysis, ITS, Pathogens, Phylogeny, Taxonomy

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    71
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 35
    download downloads 32
  • 35
    views
    32
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
71
Top 10%
Top 10%
Top 10%
35
32
Green