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Dietary nitrogen alters codon bias and genome composition in parasitic microorganisms

Overview of attention for article published in Genome Biology, November 2016
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
10 news outlets
blogs
3 blogs
twitter
21 X users
wikipedia
8 Wikipedia pages
googleplus
1 Google+ user
reddit
1 Redditor

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
63 Mendeley
citeulike
1 CiteULike
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Title
Dietary nitrogen alters codon bias and genome composition in parasitic microorganisms
Published in
Genome Biology, November 2016
DOI 10.1186/s13059-016-1087-9
Pubmed ID
Authors

Emily A. Seward, Steven Kelly

Abstract

Genomes are composed of long strings of nucleotide monomers (A, C, G and T) that are either scavenged from the organism's environment or built from metabolic precursors. The biosynthesis of each nucleotide differs in atomic requirements with different nucleotides requiring different quantities of nitrogen atoms. However, the impact of the relative availability of dietary nitrogen on genome composition and codon bias is poorly understood. Here we show that differential nitrogen availability, due to differences in environment and dietary inputs, is a major determinant of genome nucleotide composition and synonymous codon use in both bacterial and eukaryotic microorganisms. Specifically, low nitrogen availability species use nucleotides that require fewer nitrogen atoms to encode the same genes compared to high nitrogen availability species. Furthermore, we provide a novel selection-mutation framework for the evaluation of the impact of metabolism on gene sequence evolution and show that it is possible to predict the metabolic inputs of related organisms from an analysis of the raw nucleotide sequence of their genes. Taken together, these results reveal a previously hidden relationship between cellular metabolism and genome evolution and provide new insight into how genome sequence evolution can be influenced by adaptation to different diets and environments.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 62 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 19%
Researcher 12 19%
Student > Master 10 16%
Student > Bachelor 9 14%
Other 6 10%
Other 8 13%
Unknown 6 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 44%
Biochemistry, Genetics and Molecular Biology 12 19%
Environmental Science 2 3%
Neuroscience 2 3%
Computer Science 2 3%
Other 8 13%
Unknown 9 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 108. 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 11 November 2023.
All research outputs
#387,360
of 25,374,917 outputs
Outputs from Genome Biology
#192
of 4,467 outputs
Outputs of similar age
#7,253
of 311,953 outputs
Outputs of similar age from Genome Biology
#7
of 61 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 95% 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 311,953 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 97% of its contemporaries.
We're also able to compare this research output to 61 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.