| Title |
Development of sequence characterized amplified genomic regions (SCAR) for fungal systematics: proof of principle using Alternaria, Ascochyta and Tilletia
|
|---|---|
| Published in |
Mycologia, January 2017
|
| DOI | 10.3852/12-287 |
| Pubmed ID | |
| Authors | |
| Abstract |
SCARs were developed by cloning RAPD-PCR amplicons into commercially available vectors, sequencing them and designing specific primers for PCR, direct sequencing and phylogenetic analysis. Eighteen to seventy percent of cloned RAPD-PCR amplicons were phylogenetically informative among closely related small-spored Alternaria spp., Ascochyta spp. and Tilletia spp., taxa that have been resistant to phylogenetic analysis with universally primed, protein-coding sequence data. Selected SCARs were sequenced for larger, population-scale samples of each taxon and demonstrated to be useful for phylogenetic inference. Variation observed in the cloned SCARs generally was higher than variation in nuclear ribosomal internal transcribed spacer (ITS) and several protein-coding sequences commonly used in lower level fungal systematics. Sequence data derived from SCARs will provide sufficient resolution to address lower level phylogenetic hypotheses in Alternaria, Ascochyta, Tilletia and possibly many other fungal groups and organisms. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
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| Canada | 1 | 33% |
Demographic breakdown
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| Scientists | 1 | 33% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
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| Canada | 1 | 4% |
| Unknown | 24 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 30% |
| Student > Master | 6 | 22% |
| Researcher | 5 | 19% |
| Professor > Associate Professor | 3 | 11% |
| Student > Bachelor | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 74% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Environmental Science | 1 | 4% |
| Engineering | 1 | 4% |
| Unknown | 3 | 11% |