Title |
ITS as an environmental DNA barcode for fungi: an in silico approach reveals potential PCR biases
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Published in |
BMC Microbiology, July 2010
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DOI | 10.1186/1471-2180-10-189 |
Pubmed ID | |
Authors |
Eva Bellemain, Tor Carlsen, Christian Brochmann, Eric Coissac, Pierre Taberlet, Håvard Kauserud |
Abstract |
During the last 15 years the internal transcribed spacer (ITS) of nuclear DNA has been used as a target for analyzing fungal diversity in environmental samples, and has recently been selected as the standard marker for fungal DNA barcoding. In this study we explored the potential amplification biases that various commonly utilized ITS primers might introduce during amplification of different parts of the ITS region in samples containing mixed templates ('environmental barcoding'). We performed in silico PCR analyses with commonly used primer combinations using various ITS datasets obtained from public databases as templates. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 25% |
Norway | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 50% |
Scientists | 2 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 17 | 1% |
France | 6 | <1% |
Brazil | 5 | <1% |
Canada | 4 | <1% |
Australia | 4 | <1% |
Germany | 3 | <1% |
United Kingdom | 3 | <1% |
India | 3 | <1% |
Italy | 2 | <1% |
Other | 26 | 2% |
Unknown | 1473 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 289 | 19% |
Researcher | 268 | 17% |
Student > Master | 228 | 15% |
Student > Bachelor | 180 | 12% |
Student > Doctoral Student | 79 | 5% |
Other | 214 | 14% |
Unknown | 288 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 727 | 47% |
Biochemistry, Genetics and Molecular Biology | 189 | 12% |
Environmental Science | 121 | 8% |
Immunology and Microbiology | 58 | 4% |
Medicine and Dentistry | 28 | 2% |
Other | 102 | 7% |
Unknown | 321 | 21% |