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Effectiveness of ITS and sub-regions as DNA barcode markers for the identification of Basidiomycota (Fungi)

Overview of attention for article published in BMC Microbiology, February 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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364 Mendeley
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Title
Effectiveness of ITS and sub-regions as DNA barcode markers for the identification of Basidiomycota (Fungi)
Published in
BMC Microbiology, February 2017
DOI 10.1186/s12866-017-0958-x
Pubmed ID
Authors

Fernanda Badotti, Francislon Silva de Oliveira, Cleverson Fernando Garcia, Aline Bruna Martins Vaz, Paula Luize Camargos Fonseca, Laila Alves Nahum, Guilherme Oliveira, Aristóteles Góes-Neto

Abstract

Fungi are among the most abundant and diverse organisms on Earth. However, a substantial amount of the species diversity, relationships, habitats, and life strategies of these microorganisms remain to be discovered and characterized. One important factor hindering progress is the difficulty in correctly identifying fungi. Morphological and molecular characteristics have been applied in such tasks. Later, DNA barcoding has emerged as a new method for the rapid and reliable identification of species. The nrITS region is considered the universal barcode of Fungi, and the ITS1 and ITS2 sub-regions have been applied as metabarcoding markers. In this study, we performed a large-scale analysis of all the available Basidiomycota sequences from GenBank. We carried out a rigorous trimming of the initial dataset based in methodological principals of DNA Barcoding. Two different approaches (PCI and barcode gap) were used to determine the performance of the complete ITS region and sub-regions. For most of the Basidiomycota genera, the three genomic markers performed similarly, i.e., when one was considered a good marker for the identification of a genus, the others were also; the same results were observed when the performance was insufficient. However, based on barcode gap analyses, we identified genomic markers that had a superior identification performance than the others and genomic markers that were not indicated for the identification of some genera. Notably, neither the complete ITS nor the sub-regions were useful in identifying 11 of the 113 Basidiomycota genera. The complex phylogenetic relationships and the presence of cryptic species in some genera are possible explanations of this limitation and are discussed. Knowledge regarding the efficiency and limitations of the barcode markers that are currently used for the identification of organisms is crucial because it benefits research in many areas. Our study provides information that may guide researchers in choosing the most suitable genomic markers for identifying Basidiomycota species.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 364 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 <1%
Mexico 1 <1%
Spain 1 <1%
Unknown 360 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 63 17%
Student > Bachelor 55 15%
Researcher 44 12%
Student > Ph. D. Student 43 12%
Professor 11 3%
Other 46 13%
Unknown 102 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 109 30%
Biochemistry, Genetics and Molecular Biology 76 21%
Environmental Science 18 5%
Immunology and Microbiology 12 3%
Engineering 8 2%
Other 24 7%
Unknown 117 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 September 2017.
All research outputs
#4,008,238
of 23,881,329 outputs
Outputs from BMC Microbiology
#389
of 3,286 outputs
Outputs of similar age
#70,003
of 313,110 outputs
Outputs of similar age from BMC Microbiology
#14
of 55 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,286 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 88% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 313,110 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.