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One Bacterial Cell, One Complete Genome

Overview of attention for article published in PLOS ONE, April 2010
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
20 X users

Citations

dimensions_citation
212 Dimensions

Readers on

mendeley
459 Mendeley
citeulike
7 CiteULike
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Title
One Bacterial Cell, One Complete Genome
Published in
PLOS ONE, April 2010
DOI 10.1371/journal.pone.0010314
Pubmed ID
Authors

Tanja Woyke, Damon Tighe, Konstantinos Mavromatis, Alicia Clum, Alex Copeland, Wendy Schackwitz, Alla Lapidus, Dongying Wu, John P. McCutcheon, Bradon R. McDonald, Nancy A. Moran, James Bristow, Jan-Fang Cheng

Abstract

While the bulk of the finished microbial genomes sequenced to date are derived from cultured bacterial and archaeal representatives, the vast majority of microorganisms elude current culturing attempts, severely limiting the ability to recover complete or even partial genomes from these environmental species. Single cell genomics is a novel culture-independent approach, which enables access to the genetic material of an individual cell. No single cell genome has to our knowledge been closed and finished to date. Here we report the completed genome from an uncultured single cell of Candidatus Sulcia muelleri DMIN. Digital PCR on single symbiont cells isolated from the bacteriome of the green sharpshooter Draeculacephala minerva bacteriome allowed us to assess that this bacteria is polyploid with genome copies ranging from approximately 200-900 per cell, making it a most suitable target for single cell finishing efforts. For single cell shotgun sequencing, an individual Sulcia cell was isolated and whole genome amplified by multiple displacement amplification (MDA). Sanger-based finishing methods allowed us to close the genome. To verify the correctness of our single cell genome and exclude MDA-derived artifacts, we independently shotgun sequenced and assembled the Sulcia genome from pooled bacteriomes using a metagenomic approach, yielding a nearly identical genome. Four variations we detected appear to be genuine biological differences between the two samples. Comparison of the single cell genome with bacteriome metagenomic sequence data detected two single nucleotide polymorphisms (SNPs), indicating extremely low genetic diversity within a Sulcia population. This study demonstrates the power of single cell genomics to generate a complete, high quality, non-composite reference genome within an environmental sample, which can be used for population genetic analyzes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 459 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 16 3%
Germany 7 2%
Spain 5 1%
Sweden 4 <1%
United Kingdom 4 <1%
Portugal 3 <1%
Korea, Republic of 3 <1%
Japan 3 <1%
Russia 3 <1%
Other 17 4%
Unknown 394 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 129 28%
Student > Ph. D. Student 93 20%
Student > Master 49 11%
Student > Doctoral Student 31 7%
Student > Bachelor 25 5%
Other 90 20%
Unknown 42 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 268 58%
Biochemistry, Genetics and Molecular Biology 56 12%
Environmental Science 24 5%
Immunology and Microbiology 12 3%
Medicine and Dentistry 10 2%
Other 36 8%
Unknown 53 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 2014.
All research outputs
#1,584,147
of 25,867,969 outputs
Outputs from PLOS ONE
#19,492
of 225,568 outputs
Outputs of similar age
#5,247
of 106,325 outputs
Outputs of similar age from PLOS ONE
#82
of 714 outputs
Altmetric has tracked 25,867,969 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 225,568 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one has done particularly well, scoring higher than 91% 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 106,325 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 95% of its contemporaries.
We're also able to compare this research output to 714 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.