| Title |
Genome Sequences of Three Phytopathogenic Species of the Magnaporthaceae Family of Fungi
|
|---|---|
| Published in |
G3: Genes, Genomes, Genetics, December 2015
|
| DOI | 10.1534/g3.115.020057 |
| Pubmed ID | |
| Authors |
Laura H Okagaki, Cristiano C Nunes, Joshua Sailsbery, Brent Clay, Doug Brown, Titus John, Yeonyee Oh, Nelson Young, Michael Fitzgerald, Brian J Haas, Qiandong Zeng, Sarah Young, Xian Adiconis, Lin Fan, Joshua Z Levin, Thomas K Mitchell, Patricia A Okubara, Mark L Farman, Linda M Kohn, Bruce Birren, Li-Jun Ma, Ralph A Dean |
| Abstract |
Magnaporthaceae is a family of ascomycetes that includes three fungi of great economic importance: Magnaporthe oryzae, Gaeumannomyces graminis var. tritici, and Magnaporthe poae. These three fungi cause widespread disease and loss in cereal and grass crops including rice blast disease (M. oryzae), take-all disease in wheat and other grasses (G. graminis), and summer patch disease in turf grasses (M. poae). Here, we present the finished genome sequence for M. oryzae and draft sequences for M. poae and G. graminis var. tritici. We used multiple technologies to sequence and annotate the genomes of M. oryzae, M. poae, and G. graminis var. tritici. The M. oryzae genome is now finished to 7 chromosomes while M. poae and G. graminis var. tritici are sequenced to 40.0X and 25.0X coverage respectively. Gene models were developed using multiple computational techniques and further supported by RNAseq data. In addition, we performed preliminary analysis of genome architecture and repetitive element DNA. |
Login to access the Attention Digest and the Sentiment Analysis related to this output.
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 18% |
| Netherlands | 1 | 9% |
| Spain | 1 | 9% |
| France | 1 | 9% |
| Taiwan | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 73% |
| Members of the public | 2 | 18% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 2% |
| Unknown | 65 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 24% |
| Student > Ph. D. Student | 15 | 23% |
| Student > Master | 7 | 11% |
| Student > Bachelor | 5 | 8% |
| Student > Doctoral Student | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 15 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 36 | 55% |
| Biochemistry, Genetics and Molecular Biology | 11 | 17% |
| Chemical Engineering | 2 | 3% |
| Neuroscience | 2 | 3% |
| Computer Science | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 14 | 21% |