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Hybridization capture reveals microbial diversity missed using current profiling methods

Overview of attention for article published in Microbiome, March 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)

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1 blog
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16 X users

Citations

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33 Dimensions

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85 Mendeley
Title
Hybridization capture reveals microbial diversity missed using current profiling methods
Published in
Microbiome, March 2018
DOI 10.1186/s40168-018-0442-3
Pubmed ID
Authors

Cyrielle Gasc, Pierre Peyret

Abstract

Microorganisms comprise the majority of living organisms on our planet. For many years, exploration of the composition of microbial communities has been performed through the PCR-based study of the small subunit rRNA gene due to its high conservation across the domains of life. The application of this method has resulted in the discovery of many unexpected evolutionary lineages. However, amplicon sequencing is subject to numerous biases, with some taxa being missed, and is limited by the read length of second-generation sequencing platforms, which drastically reduces the phylogenetic resolution. Here, we describe a hybridization capture strategy that allows the enrichment of 16S rRNA genes from metagenomic samples and enables an exhaustive identification and a complete reconstruction of the biomarker. Applying this approach to a microbial mock community and a soil sample, we demonstrated that hybridization capture is able to reveal greater microbial diversity than 16S rDNA amplicon sequencing and shotgun sequencing. The reconstruction of full-length 16S rRNA genes facilitated the improvement of phylogenetic resolution and the discovery of novel prokaryotic taxa. Our results demonstrate that hybridization capture can lead to major breakthroughs in our understanding of microbial diversity, overcoming the limitations of conventional 16S rRNA gene studies. If applied to a broad range of environmental samples, this innovative approach could reveal the undescribed diversity of the still underexplored microbial communities and could provide a better understanding of ecosystem function.

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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 24%
Student > Ph. D. Student 13 15%
Student > Master 11 13%
Student > Postgraduate 5 6%
Student > Bachelor 4 5%
Other 12 14%
Unknown 20 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 39%
Biochemistry, Genetics and Molecular Biology 16 19%
Immunology and Microbiology 6 7%
Environmental Science 4 5%
Nursing and Health Professions 1 1%
Other 3 4%
Unknown 22 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 January 2019.
All research outputs
#2,292,512
of 24,562,945 outputs
Outputs from Microbiome
#907
of 1,660 outputs
Outputs of similar age
#48,215
of 334,435 outputs
Outputs of similar age from Microbiome
#43
of 57 outputs
Altmetric has tracked 24,562,945 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,660 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one is in the 45th percentile – i.e., 45% 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 334,435 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 85% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.