| Title |
Analysis of phage resistance in Staphylococcus aureus SA003 reveals different binding mechanisms for the closely related Twort-like phages ɸSA012 and ɸSA039
|
|---|---|
| Published in |
Applied Microbiology and Biotechnology, August 2018
|
| DOI | 10.1007/s00253-018-9269-x |
| Pubmed ID | |
| Authors |
Aa Haeruman Azam, Fumiya Hoshiga, Ippei Takeuchi, Kazuhiko Miyanaga, Yasunori Tanji |
| Abstract |
We have previously generated strains of Staphylococcus aureus SA003 resistant to its specific phage ɸSA012 through a long-term coevolution experiment. However, the DNA mutations responsible for the phenotypic change of phage resistance are unknown. Whole-genome analysis revealed eight genes that acquired mutations: six point mutations (five missense mutations and one nonsense mutation) and two deletions. Complementation of the phage-resistant strains by the wild-type alleles showed that five genes were linked to phage adsorption of ɸSA012, and two mutated host genes were linked to the inhibition of post-adsorption. Unlike ɸSA012, infection by ɸSA039, a close relative of ɸSA012, onto early coevolved phage-resistant SA003 (SA003R2) was impaired drastically. Here, we identified that ɸSA012 and ɸSA039 adsorb to the cell surface S. aureus SA003 through a different mechanism. ɸSA012 requires the backbone of wall teichoic acids (WTA), while ɸSA039 requires both backbone and the β-GlcNAc residue. In silico analysis of the ɸSA039 genome revealed that several proteins in the tail and baseplate region were different from ɸSA012. The difference in tail and baseplate proteins might be the factor for specificity difference between ɸSA012 and ɸSA039. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 12 | 17% |
| Student > Master | 11 | 15% |
| Student > Ph. D. Student | 11 | 15% |
| Researcher | 7 | 10% |
| Student > Doctoral Student | 5 | 7% |
| Other | 4 | 6% |
| Unknown | 22 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 22% |
| Immunology and Microbiology | 12 | 17% |
| Agricultural and Biological Sciences | 8 | 11% |
| Engineering | 3 | 4% |
| Medicine and Dentistry | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 26 | 36% |
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 06 August 2018.
All research outputs
#16,371,088
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#5,817
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Outputs of similar age
#213,273
of 334,064 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#76
of 139 outputs
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