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Genome-wide analysis of codon usage bias in Bovine Coronavirus

Overview of attention for article published in Virology Journal, June 2017
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Title
Genome-wide analysis of codon usage bias in Bovine Coronavirus
Published in
Virology Journal, June 2017
DOI 10.1186/s12985-017-0780-y
Pubmed ID
Authors

Matías Castells, Matías Victoria, Rodney Colina, Héctor Musto, Juan Cristina

Abstract

Bovine coronavirus (BCoV) belong to the genus Betacoronavirus of the family Coronaviridae. BCoV are widespread around the world and cause enteric or respiratory infections among cattle, leading to important economic losses to the beef and dairy industry worldwide. To study the relation of codon usage among viruses and their hosts is essential to understand host-pathogen interaction, evasion from host's immune system and evolution. We performed a comprehensive analysis of codon usage and composition of BCoV. The global codon usage among BCoV strains is similar. Significant differences of codon preferences in BCoV genes in relation to codon usage of Bos taurus host genes were found. Most of the highly frequent codons are U-ending. G + C compositional constraint and dinucleotide composition also plays a role in the overall pattern of BCoV codon usage. The results of these studies revealed that mutational bias is a leading force shaping codon usage in this virus. Additionally, relative dinucleotide frequencies, geographical distribution, and evolutionary processes also influenced the codon usage pattern.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 20%
Researcher 5 12%
Student > Bachelor 4 10%
Other 4 10%
Student > Master 4 10%
Other 7 17%
Unknown 9 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 24%
Agricultural and Biological Sciences 5 12%
Veterinary Science and Veterinary Medicine 3 7%
Immunology and Microbiology 2 5%
Engineering 2 5%
Other 8 20%
Unknown 11 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 18 July 2017.
All research outputs
#17,567,724
of 21,738,040 outputs
Outputs from Virology Journal
#2,332
of 2,937 outputs
Outputs of similar age
#215,410
of 286,521 outputs
Outputs of similar age from Virology Journal
#1
of 1 outputs
Altmetric has tracked 21,738,040 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,937 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.3. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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