Title |
An introduction to the analysis of shotgun metagenomic data
|
---|---|
Published in |
Frontiers in Plant Science, June 2014
|
DOI | 10.3389/fpls.2014.00209 |
Pubmed ID | |
Authors |
Thomas J. Sharpton |
Abstract |
Environmental DNA sequencing has revealed the expansive biodiversity of microorganisms and clarified the relationship between host-associated microbial communities and host phenotype. Shotgun metagenomic DNA sequencing is a relatively new and powerful environmental sequencing approach that provides insight into community biodiversity and function. But, the analysis of metagenomic sequences is complicated due to the complex structure of the data. Fortunately, new tools and data resources have been developed to circumvent these complexities and allow researchers to determine which microbes are present in the community and what they might be doing. This review describes the analytical strategies and specific tools that can be applied to metagenomic data and the considerations and caveats associated with their use. Specifically, it documents how metagenomes can be analyzed to quantify community structure and diversity, assemble novel genomes, identify new taxa and genes, and determine which metabolic pathways are encoded in the community. It also discusses several methods that can be used compare metagenomes to identify taxa and functions that differentiate communities. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 12 | 32% |
United Kingdom | 3 | 8% |
Netherlands | 2 | 5% |
France | 2 | 5% |
Switzerland | 2 | 5% |
Canada | 2 | 5% |
Germany | 1 | 3% |
Chile | 1 | 3% |
Australia | 1 | 3% |
Other | 0 | 0% |
Unknown | 11 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 20 | 54% |
Members of the public | 16 | 43% |
Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 23 | 1% |
United Kingdom | 7 | <1% |
Germany | 6 | <1% |
Canada | 5 | <1% |
Brazil | 4 | <1% |
France | 4 | <1% |
Netherlands | 3 | <1% |
Switzerland | 2 | <1% |
Sweden | 2 | <1% |
Other | 20 | <1% |
Unknown | 2040 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 510 | 24% |
Student > Master | 338 | 16% |
Researcher | 330 | 16% |
Student > Bachelor | 224 | 11% |
Student > Doctoral Student | 113 | 5% |
Other | 247 | 12% |
Unknown | 354 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 736 | 35% |
Biochemistry, Genetics and Molecular Biology | 423 | 20% |
Environmental Science | 120 | 6% |
Immunology and Microbiology | 86 | 4% |
Computer Science | 63 | 3% |
Other | 260 | 12% |
Unknown | 428 | 20% |