Title |
Pangenome Evidence for Higher Codon Usage Bias and Stronger Translational Selection in Core Genes of Escherichia coli
|
---|---|
Published in |
Frontiers in Microbiology, August 2016
|
DOI | 10.3389/fmicb.2016.01180 |
Pubmed ID | |
Authors |
Shixiang Sun, Jingfa Xiao, Huiyong Zhang, Zhang Zhang |
Abstract |
Codon usage bias, as a combined interplay from mutation and selection, has been intensively studied in Escherichia coli. However, codon usage analysis in an E. coli pangenome remains unexplored and the relative importance of mutation and selection acting on core genes and strain-specific genes is unknown. Here we perform comprehensive codon usage analyses based on a collection of multiple complete genome sequences of E. coli. Our results show that core genes that are present in all strains have higher codon usage bias than strain-specific genes that are unique to single strains. We further explore the forces in influencing codon usage and investigate the difference of the major force between core and strain-specific genes. Our results demonstrate that although mutation may exert genome-wide influences on codon usage acting similarly in different gene sets, selection dominates as an important force to shape biased codon usage as genes are present in an increased number of strains. Together, our results provide important insights for better understanding genome plasticity and complexity as well as evolutionary mechanisms behind codon usage bias. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 1 | 4% |
Unknown | 27 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 21% |
Researcher | 6 | 21% |
Student > Ph. D. Student | 5 | 18% |
Lecturer > Senior Lecturer | 1 | 4% |
Student > Doctoral Student | 1 | 4% |
Other | 3 | 11% |
Unknown | 6 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 9 | 32% |
Agricultural and Biological Sciences | 6 | 21% |
Immunology and Microbiology | 3 | 11% |
Engineering | 2 | 7% |
Energy | 1 | 4% |
Other | 1 | 4% |
Unknown | 6 | 21% |