Title |
Sequencing and beyond: integrating molecular 'omics' for microbial community profiling
|
---|---|
Published in |
Nature Reviews Microbiology, April 2015
|
DOI | 10.1038/nrmicro3451 |
Pubmed ID | |
Authors |
Eric A. Franzosa, Tiffany Hsu, Alexandra Sirota-Madi, Afrah Shafquat, Galeb Abu-Ali, Xochitl C. Morgan, Curtis Huttenhower |
Abstract |
High-throughput DNA sequencing has proven invaluable for investigating diverse environmental and host-associated microbial communities. In this Review, we discuss emerging strategies for microbial community analysis that complement and expand traditional metagenomic profiling. These include novel DNA sequencing strategies for identifying strain-level microbial variation and community temporal dynamics; measuring multiple 'omic' data types that better capture community functional activity, such as transcriptomics, proteomics and metabolomics; and combining multiple forms of omic data in an integrated framework. We highlight studies in which the 'multi-omics' approach has led to improved mechanistic models of microbial community structure and function. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 12 | 15% |
United Kingdom | 11 | 14% |
Australia | 5 | 6% |
Spain | 3 | 4% |
France | 3 | 4% |
Brazil | 3 | 4% |
Netherlands | 2 | 3% |
Germany | 2 | 3% |
Austria | 2 | 3% |
Other | 13 | 16% |
Unknown | 23 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 39 | 49% |
Members of the public | 35 | 44% |
Practitioners (doctors, other healthcare professionals) | 3 | 4% |
Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 26 | 2% |
Canada | 7 | <1% |
France | 5 | <1% |
Germany | 4 | <1% |
Belgium | 4 | <1% |
Brazil | 3 | <1% |
Italy | 3 | <1% |
Denmark | 3 | <1% |
Chile | 2 | <1% |
Other | 26 | 2% |
Unknown | 1499 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 410 | 26% |
Researcher | 304 | 19% |
Student > Master | 232 | 15% |
Student > Bachelor | 132 | 8% |
Student > Doctoral Student | 86 | 5% |
Other | 227 | 14% |
Unknown | 191 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 601 | 38% |
Biochemistry, Genetics and Molecular Biology | 274 | 17% |
Immunology and Microbiology | 107 | 7% |
Environmental Science | 100 | 6% |
Medicine and Dentistry | 60 | 4% |
Other | 190 | 12% |
Unknown | 250 | 16% |