Title |
Estimation of viral richness from shotgun metagenomes using a frequency count approach
|
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Published in |
Microbiome, February 2013
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DOI | 10.1186/2049-2618-1-5 |
Pubmed ID | |
Authors |
Heather K Allen, John Bunge, James A Foster, Darrell O Bayles, Thaddeus B Stanton |
Abstract |
Viruses are important drivers of ecosystem functions, yet little is known about the vast majority of viruses. Viral shotgun metagenomics enables the investigation of broad ecological questions in phage communities. One ecological characteristic is species richness, which is the number of different species in a community. Viruses do not have a phylogenetic marker analogous to the bacterial 16S rRNA gene with which to estimate richness, and so contig spectra are employed to measure the number of virus taxa in a given community. A contig spectrum is generated from a viral shotgun metagenome by assembling the random sequence reads into groups of sequences that overlap (contigs) and counting the number of sequences that group within each contig. Current tools available to analyze contig spectra to estimate phage richness are limited by relying on rank-abundance data. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 33% |
India | 1 | 11% |
United Kingdom | 1 | 11% |
France | 1 | 11% |
Unknown | 3 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 67% |
Science communicators (journalists, bloggers, editors) | 2 | 22% |
Scientists | 1 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 4 | 4% |
United States | 3 | 3% |
United Kingdom | 2 | 2% |
South Africa | 1 | <1% |
Spain | 1 | <1% |
Turkey | 1 | <1% |
Unknown | 91 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 32 | 31% |
Researcher | 23 | 22% |
Student > Master | 9 | 9% |
Student > Doctoral Student | 8 | 8% |
Student > Bachelor | 5 | 5% |
Other | 12 | 12% |
Unknown | 14 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 57 | 55% |
Biochemistry, Genetics and Molecular Biology | 9 | 9% |
Environmental Science | 8 | 8% |
Immunology and Microbiology | 5 | 5% |
Computer Science | 3 | 3% |
Other | 6 | 6% |
Unknown | 15 | 15% |