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A flexible and economical barcoding approach for highly multiplexed amplicon sequencing of diverse target genes

Overview of attention for article published in Frontiers in Microbiology, July 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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16 X users
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1 YouTube creator

Citations

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Title
A flexible and economical barcoding approach for highly multiplexed amplicon sequencing of diverse target genes
Published in
Frontiers in Microbiology, July 2015
DOI 10.3389/fmicb.2015.00731
Pubmed ID
Authors

Craig W. Herbold, Claus Pelikan, Orest Kuzyk, Bela Hausmann, Roey Angel, David Berry, Alexander Loy

Abstract

High throughput sequencing of phylogenetic and functional gene amplicons provides tremendous insight into the structure and functional potential of complex microbial communities. Here, we introduce a highly adaptable and economical PCR approach to barcoding and pooling libraries of numerous target genes. In this approach, we replace gene- and sequencing platform-specific fusion primers with general, interchangeable barcoding primers, enabling nearly limitless customized barcode-primer combinations. Compared to barcoding with long fusion primers, our multiple-target gene approach is more economical because it overall requires lower number of primers and is based on short primers with generally lower synthesis and purification costs. To highlight our approach, we pooled over 900 different small-subunit rRNA and functional gene amplicon libraries obtained from various environmental or host-associated microbial community samples into a single, paired-end Illumina MiSeq run. Although the amplicon regions ranged in size from approximately 290 to 720 bp, we found no significant systematic sequencing bias related to amplicon length or gene target. Our results indicate that this flexible multiplexing approach produces large, diverse, and high quality sets of amplicon sequence data for modern studies in microbial ecology.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 294 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 2%
Belgium 2 <1%
Colombia 1 <1%
Canada 1 <1%
Brazil 1 <1%
Estonia 1 <1%
United Kingdom 1 <1%
Unknown 281 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 18%
Student > Master 54 18%
Researcher 53 18%
Student > Bachelor 30 10%
Student > Doctoral Student 16 5%
Other 39 13%
Unknown 48 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 136 46%
Biochemistry, Genetics and Molecular Biology 42 14%
Environmental Science 25 9%
Immunology and Microbiology 11 4%
Medicine and Dentistry 6 2%
Other 19 6%
Unknown 55 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 28 April 2023.
All research outputs
#3,789,567
of 25,805,386 outputs
Outputs from Frontiers in Microbiology
#3,458
of 29,830 outputs
Outputs of similar age
#46,141
of 277,100 outputs
Outputs of similar age from Frontiers in Microbiology
#31
of 345 outputs
Altmetric has tracked 25,805,386 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,830 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. 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 277,100 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 83% of its contemporaries.
We're also able to compare this research output to 345 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.