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Insights into the phylogeny and coding potential of microbial dark matter

Overview of attention for article published in Nature, July 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Citations

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1894 Dimensions

Readers on

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2799 Mendeley
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20 CiteULike
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Title
Insights into the phylogeny and coding potential of microbial dark matter
Published in
Nature, July 2013
DOI 10.1038/nature12352
Pubmed ID
Authors

Christian Rinke, Patrick Schwientek, Alexander Sczyrba, Natalia N. Ivanova, Iain J. Anderson, Jan-Fang Cheng, Aaron Darling, Stephanie Malfatti, Brandon K. Swan, Esther A. Gies, Jeremy A. Dodsworth, Brian P. Hedlund, George Tsiamis, Stefan M. Sievert, Wen-Tso Liu, Jonathan A. Eisen, Steven J. Hallam, Nikos C. Kyrpides, Ramunas Stepanauskas, Edward M. Rubin, Philip Hugenholtz, Tanja Woyke

Abstract

Genome sequencing enhances our understanding of the biological world by providing blueprints for the evolutionary and functional diversity that shapes the biosphere. However, microbial genomes that are currently available are of limited phylogenetic breadth, owing to our historical inability to cultivate most microorganisms in the laboratory. We apply single-cell genomics to target and sequence 201 uncultivated archaeal and bacterial cells from nine diverse habitats belonging to 29 major mostly uncharted branches of the tree of life, so-called 'microbial dark matter'. With this additional genomic information, we are able to resolve many intra- and inter-phylum-level relationships and to propose two new superphyla. We uncover unexpected metabolic features that extend our understanding of biology and challenge established boundaries between the three domains of life. These include a novel amino acid use for the opal stop codon, an archaeal-type purine synthesis in Bacteria and complete sigma factors in Archaea similar to those in Bacteria. The single-cell genomes also served to phylogenetically anchor up to 20% of metagenomic reads in some habitats, facilitating organism-level interpretation of ecosystem function. This study greatly expands the genomic representation of the tree of life and provides a systematic step towards a better understanding of biological evolution on our planet.

X Demographics

X Demographics

The data shown below were collected from the profiles of 218 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 2,799 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 74 3%
United Kingdom 16 <1%
Germany 13 <1%
Netherlands 10 <1%
Brazil 10 <1%
France 9 <1%
Sweden 8 <1%
Australia 8 <1%
Spain 7 <1%
Other 65 2%
Unknown 2579 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 722 26%
Researcher 564 20%
Student > Master 332 12%
Student > Bachelor 244 9%
Student > Doctoral Student 128 5%
Other 440 16%
Unknown 369 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 1205 43%
Biochemistry, Genetics and Molecular Biology 467 17%
Environmental Science 208 7%
Immunology and Microbiology 122 4%
Earth and Planetary Sciences 76 3%
Other 264 9%
Unknown 457 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 437. 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 14 April 2024.
All research outputs
#65,698
of 25,726,194 outputs
Outputs from Nature
#5,063
of 98,592 outputs
Outputs of similar age
#368
of 207,634 outputs
Outputs of similar age from Nature
#41
of 985 outputs
Altmetric has tracked 25,726,194 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 98,592 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.6. This one has done particularly well, scoring higher than 94% 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 207,634 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 985 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 95% of its contemporaries.