Title |
Caught in the middle with multiple displacement amplification: the myth of pooling for avoiding multiple displacement amplification bias in a metagenome
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Published in |
Microbiome, January 2014
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DOI | 10.1186/2049-2618-2-3 |
Pubmed ID | |
Authors |
Rachel Marine, Coleen McCarren, Vansay Vorrasane, Dan Nasko, Erin Crowgey, Shawn W Polson, K Eric Wommack |
Abstract |
Shotgun metagenomics has become an important tool for investigating the ecology of microorganisms. Underlying these investigations is the assumption that metagenome sequence data accurately estimates the census of microbial populations. Multiple displacement amplification (MDA) of microbial community DNA is often used in cases where it is difficult to obtain enough DNA for sequencing; however, MDA can result in amplification biases that may impact subsequent estimates of population census from metagenome data. Some have posited that pooling replicate MDA reactions negates these biases and restores the accuracy of population analyses. This assumption has not been empirically tested. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 3 | 30% |
Austria | 1 | 10% |
India | 1 | 10% |
Switzerland | 1 | 10% |
Unknown | 4 | 40% |
Demographic breakdown
Type | Count | As % |
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Scientists | 7 | 70% |
Members of the public | 3 | 30% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 3 | 2% |
Germany | 1 | <1% |
Norway | 1 | <1% |
Australia | 1 | <1% |
Sweden | 1 | <1% |
South Africa | 1 | <1% |
United States | 1 | <1% |
Unknown | 176 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 47 | 25% |
Researcher | 42 | 23% |
Student > Master | 24 | 13% |
Student > Bachelor | 12 | 6% |
Student > Doctoral Student | 10 | 5% |
Other | 23 | 12% |
Unknown | 27 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 75 | 41% |
Biochemistry, Genetics and Molecular Biology | 35 | 19% |
Immunology and Microbiology | 16 | 9% |
Environmental Science | 10 | 5% |
Earth and Planetary Sciences | 4 | 2% |
Other | 10 | 5% |
Unknown | 35 | 19% |