| Title |
Genomic characterization of Salmonella bacteriophages isolated from India
|
|---|---|
| Published in |
Virus Genes, January 2016
|
| DOI | 10.1007/s11262-015-1269-7 |
| Pubmed ID | |
| Authors |
Yogesh A. Karpe, Gayatri D. Kanade, Kunal D. Pingale, Vidya A. Arankalle, Kalyan Banerjee |
| Abstract |
Salmonella are a medically important Gram-negative foodborne pathogen. Genomic diversity of Salmonella is increasingly studied but at the same time, we have limited knowledge of Salmonella phage diversity. In this study, we have isolated Salmonella phages from sewage and river water. Genomic characterization of 12 Salmonella phages was carried out using next-generation sequencing platform. Newly sequenced phages were classified based on amino acid sequence phylogenetic analysis. In newly sequenced phages, several virulence genes, DNA metabolism genes, tRNA genes, antibiotic resistance genes and genes not having known role in the life cycle of phages were identified. Annotations of newly sequenced phage genome showed the presence of polymyxin-b resistance gene and penicillin binding protein. Annotation identified number of genes which are involved in DNA metabolism. Results suggest that most of the phages having G + C content different than their host possess DNA metabolism genes. The presence of tRNAs in the genome of Salmonella_phage38-India was identified; however, we did not observe any correlation between tRNA genes and overall codon usage in the phage genome. It is suggested that the phage-encoded tRNAs may increase fitness of phages. In summary, we isolated novel Salmonella phages, determined full genome sequences and provided phylogenetic analysis-based classification. |
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 % |
|---|---|---|
| United Kingdom | 1 | 33% |
| France | 1 | 33% |
| 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| India | 1 | 2% |
| Unknown | 51 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 23% |
| Researcher | 11 | 21% |
| Student > Master | 7 | 13% |
| Student > Doctoral Student | 3 | 6% |
| Student > Bachelor | 3 | 6% |
| Other | 7 | 13% |
| Unknown | 10 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 28% |
| Biochemistry, Genetics and Molecular Biology | 13 | 25% |
| Immunology and Microbiology | 5 | 9% |
| Environmental Science | 2 | 4% |
| Nursing and Health Professions | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 12 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 14 January 2016.
All research outputs
#14,680,831
of 23,498,099 outputs
Outputs from Virus Genes
#474
of 994 outputs
Outputs of similar age
#210,665
of 398,452 outputs
Outputs of similar age from Virus Genes
#7
of 25 outputs
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