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Genome-wide gene order distances support clustering the gram-positive bacteria

Overview of attention for article published in Frontiers in Microbiology, January 2015
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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Title
Genome-wide gene order distances support clustering the gram-positive bacteria
Published in
Frontiers in Microbiology, January 2015
DOI 10.3389/fmicb.2014.00785
Pubmed ID
Authors

Christopher H. House, Matteo Pellegrini, Sorel T. Fitz-Gibbon

Abstract

Initially using 143 genomes, we developed a method for calculating the pair-wise distance between prokaryotic genomes using a Monte Carlo method to estimate the conservation of gene order. The method was based on repeatedly selecting five or six non-adjacent random orthologs from each of two genomes and determining if the chosen orthologs were in the same order. The raw distances were then corrected for gene order convergence using an adaptation of the Jukes-Cantor model, as well as using the common distance correction D' = -ln(1-D). First, we compared the distances found via the order of six orthologs to distances found based on ortholog gene content and small subunit rRNA sequences. The Jukes-Cantor gene order distances are reasonably well correlated with the divergence of rRNA (R (2) = 0.24), especially at rRNA Jukes-Cantor distances of less than 0.2 (R (2) = 0.52). Gene content is only weakly correlated with rRNA divergence (R (2) = 0.04) over all distances, however, it is especially strongly correlated at rRNA Jukes-Cantor distances of less than 0.1 (R (2) = 0.67). This initial work suggests that gene order may be useful in conjunction with other methods to help understand the relatedness of genomes. Using the gene order distances in 143 genomes, the relations of prokaryotes were studied using neighbor joining and agreement subtrees. We then repeated our study of the relations of prokaryotes using gene order in 172 complete genomes better representing a wider-diversity of prokaryotes. Consistently, our trees show the Actinobacteria as a sister group to the bulk of the Firmicutes. In fact, the robustness of gene order support was found to be considerably greater for uniting these two phyla than for uniting any of the proteobacterial classes together. The results are supportive of the idea that Actinobacteria and Firmicutes are closely related, which in turn implies a single origin for the gram-positive cell.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Greece 2 6%
Brazil 1 3%
Germany 1 3%
Russia 1 3%
United States 1 3%
Unknown 29 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 40%
Professor > Associate Professor 4 11%
Student > Master 4 11%
Student > Bachelor 3 9%
Student > Doctoral Student 3 9%
Other 6 17%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 66%
Biochemistry, Genetics and Molecular Biology 3 9%
Computer Science 2 6%
Business, Management and Accounting 1 3%
Nursing and Health Professions 1 3%
Other 3 9%
Unknown 2 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 02 June 2017.
All research outputs
#13,187,118
of 22,778,347 outputs
Outputs from Frontiers in Microbiology
#9,824
of 24,689 outputs
Outputs of similar age
#169,007
of 352,028 outputs
Outputs of similar age from Frontiers in Microbiology
#108
of 281 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,689 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 gotten more attention than average, scoring higher than 58% 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 352,028 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 281 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 59% of its contemporaries.