| Title |
Next Generation Sequencing Provides Rapid Access to the Genome of Puccinia striiformis f. sp. tritici, the Causal Agent of Wheat Stripe Rust
|
|---|---|
| Published in |
PLOS ONE, August 2011
|
| DOI | 10.1371/journal.pone.0024230 |
| Pubmed ID | |
| Authors |
Dario Cantu, Manjula Govindarajulu, Alex Kozik, Meinan Wang, Xianming Chen, Kenji K. Kojima, Jerzy Jurka, Richard W. Michelmore, Jorge Dubcovsky |
| Abstract |
The wheat stripe rust fungus (Puccinia striiformis f. sp. tritici, PST) is responsible for significant yield losses in wheat production worldwide. In spite of its economic importance, the PST genomic sequence is not currently available. Fortunately Next Generation Sequencing (NGS) has radically improved sequencing speed and efficiency with a great reduction in costs compared to traditional sequencing technologies. We used Illumina sequencing to rapidly access the genomic sequence of the highly virulent PST race 130 (PST-130). |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 23% |
| Australia | 2 | 15% |
| United States | 2 | 15% |
| Canada | 1 | 8% |
| India | 1 | 8% |
| France | 1 | 8% |
| Unknown | 3 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 62% |
| Members of the public | 3 | 23% |
| Science communicators (journalists, bloggers, editors) | 2 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | <1% |
| Canada | 2 | <1% |
| United States | 2 | <1% |
| Spain | 2 | <1% |
| South Africa | 1 | <1% |
| India | 1 | <1% |
| United Kingdom | 1 | <1% |
| Colombia | 1 | <1% |
| New Zealand | 1 | <1% |
| Other | 3 | 1% |
| Unknown | 193 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 59 | 28% |
| Researcher | 47 | 22% |
| Student > Master | 34 | 16% |
| Student > Doctoral Student | 12 | 6% |
| Student > Bachelor | 8 | 4% |
| Other | 30 | 14% |
| Unknown | 19 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 141 | 67% |
| Biochemistry, Genetics and Molecular Biology | 25 | 12% |
| Immunology and Microbiology | 3 | 1% |
| Computer Science | 2 | <1% |
| Social Sciences | 2 | <1% |
| Other | 11 | 5% |
| Unknown | 25 | 12% |