Title |
Phage cluster relationships identified through single gene analysis
|
---|---|
Published in |
BMC Genomics, June 2013
|
DOI | 10.1186/1471-2164-14-410 |
Pubmed ID | |
Authors |
Kyle C Smith, Eduardo Castro-Nallar, Joshua NB Fisher, Donald P Breakwell, Julianne H Grose, Sandra H Burnett |
Abstract |
Phylogenetic comparison of bacteriophages requires whole genome approaches such as dotplot analysis, genome pairwise maps, and gene content analysis. Currently mycobacteriophages, a highly studied phage group, are categorized into related clusters based on the comparative analysis of whole genome sequences. With the recent explosion of phage isolation, a simple method for phage cluster prediction would facilitate analysis of crude or complex samples without whole genome isolation and sequencing. The hypothesis of this study was that mycobacteriophage-cluster prediction is possible using comparison of a single, ubiquitous, semi-conserved gene. Tape Measure Protein (TMP) was selected to test the hypothesis because it is typically the longest gene in mycobacteriophage genomes and because regions within the TMP gene are conserved. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 2 | 2% |
Sweden | 1 | <1% |
South Africa | 1 | <1% |
Unknown | 97 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 29 | 29% |
Student > Ph. D. Student | 19 | 19% |
Researcher | 16 | 16% |
Student > Master | 8 | 8% |
Professor > Associate Professor | 4 | 4% |
Other | 9 | 9% |
Unknown | 16 | 16% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 32 | 32% |
Agricultural and Biological Sciences | 32 | 32% |
Immunology and Microbiology | 5 | 5% |
Computer Science | 3 | 3% |
Environmental Science | 3 | 3% |
Other | 8 | 8% |
Unknown | 18 | 18% |