Title |
Reconstructing each cell's genome within complex microbial communities—dream or reality?
|
---|---|
Published in |
Frontiers in Microbiology, January 2015
|
DOI | 10.3389/fmicb.2014.00771 |
Pubmed ID | |
Authors |
Scott Clingenpeel, Alicia Clum, Patrick Schwientek, Christian Rinke, Tanja Woyke |
Abstract |
As the vast majority of microorganisms have yet to be cultivated in a laboratory setting, access to their genetic makeup has largely been limited to cultivation-independent methods. These methods, namely metagenomics and more recently single-cell genomics, have become cornerstones for microbial ecology and environmental microbiology. One ultimate goal is the recovery of genome sequences from each cell within an environment to move toward a better understanding of community metabolic potential and to provide substrate for experimental work. As single-cell sequencing has the ability to decipher all sequence information contained in an individual cell, this method holds great promise in tackling such challenge. Methodological limitations and inherent biases however do exist, which will be discussed here based on environmental and benchmark data, to assess how far we are from reaching this goal. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 26% |
United Kingdom | 2 | 9% |
Australia | 1 | 4% |
Austria | 1 | 4% |
Germany | 1 | 4% |
Mexico | 1 | 4% |
Spain | 1 | 4% |
Netherlands | 1 | 4% |
Switzerland | 1 | 4% |
Other | 1 | 4% |
Unknown | 7 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 13 | 57% |
Members of the public | 9 | 39% |
Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 5% |
Germany | 2 | 2% |
Brazil | 2 | 2% |
Norway | 1 | <1% |
Denmark | 1 | <1% |
United Kingdom | 1 | <1% |
Unknown | 98 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 28 | 25% |
Researcher | 26 | 24% |
Student > Master | 14 | 13% |
Student > Doctoral Student | 8 | 7% |
Student > Bachelor | 5 | 5% |
Other | 17 | 15% |
Unknown | 12 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 44 | 40% |
Biochemistry, Genetics and Molecular Biology | 26 | 24% |
Environmental Science | 11 | 10% |
Engineering | 4 | 4% |
Computer Science | 2 | 2% |
Other | 9 | 8% |
Unknown | 14 | 13% |