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Design and Experimental Application of a Novel Non-Degenerate Universal Primer Set that Amplifies Prokaryotic 16S rRNA Genes with a Low Possibility to Amplify Eukaryotic rRNA Genes

Overview of attention for article published in DNA Research, November 2013
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  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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Title
Design and Experimental Application of a Novel Non-Degenerate Universal Primer Set that Amplifies Prokaryotic 16S rRNA Genes with a Low Possibility to Amplify Eukaryotic rRNA Genes
Published in
DNA Research, November 2013
DOI 10.1093/dnares/dst052
Pubmed ID
Authors

Hiroshi Mori, Fumito Maruyama, Hiromi Kato, Atsushi Toyoda, Ayumi Dozono, Yoshiyuki Ohtsubo, Yuji Nagata, Asao Fujiyama, Masataka Tsuda, Ken Kurokawa

Abstract

The deep sequencing of 16S rRNA genes amplified by universal primers has revolutionized our understanding of microbial communities by allowing the characterization of the diversity of the uncultured majority. However, some universal primers also amplify eukaryotic rRNA genes, leading to a decrease in the efficiency of sequencing of prokaryotic 16S rRNA genes with possible mischaracterization of the diversity in the microbial community. In this study, we compared 16S rRNA gene sequences from genome-sequenced strains and identified candidates for non-degenerate universal primers that could be used for the amplification of prokaryotic 16S rRNA genes. The 50 identified candidates were investigated to calculate their coverage for prokaryotic and eukaryotic rRNA genes, including those from uncultured taxa and eukaryotic organelles, and a novel universal primer set, 342F-806R, covering many prokaryotic, but not eukaryotic, rRNA genes was identified. This primer set was validated by the amplification of 16S rRNA genes from a soil metagenomic sample and subsequent pyrosequencing using the Roche 454 platform. The same sample was also used for pyrosequencing of the amplicons by employing a commonly used primer set, 338F-533R, and for shotgun metagenomic sequencing using the Illumina platform. Our comparison of the taxonomic compositions inferred by the three sequencing experiments indicated that the non-degenerate 342F-806R primer set can characterize the taxonomic composition of the microbial community without substantial bias, and is highly expected to be applicable to the analysis of a wide variety of microbial communities.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 256 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 5 2%
United Kingdom 3 1%
United States 3 1%
Australia 2 <1%
Sweden 1 <1%
Portugal 1 <1%
Belgium 1 <1%
Austria 1 <1%
Unknown 239 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 55 21%
Researcher 48 19%
Student > Master 44 17%
Student > Bachelor 20 8%
Student > Doctoral Student 16 6%
Other 33 13%
Unknown 40 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 111 43%
Biochemistry, Genetics and Molecular Biology 37 14%
Environmental Science 23 9%
Computer Science 9 4%
Medicine and Dentistry 7 3%
Other 20 8%
Unknown 49 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 01 December 2013.
All research outputs
#15,286,644
of 22,733,113 outputs
Outputs from DNA Research
#534
of 700 outputs
Outputs of similar age
#190,604
of 304,136 outputs
Outputs of similar age from DNA Research
#5
of 11 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 700 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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 304,136 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.