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G3 (Bethesda) DOI:10.1534/g3.115.020057

Genome Sequences of Three Phytopathogenic Species of the Magnaporthaceae Family of Fungi.

Publication TypeJournal Article
Year of Publication2015
AuthorsOkagaki, LH, Nunes, CC, Sailsbery, J, Clay, B, Brown, D, John, T, Oh, Y, Young, N, Fitzgerald, M, Haas, BJ, Zeng, Q, Young, S, Adiconis, X, Fan, L, Levin, JZ, Mitchell, TK, Okubara, PA, Farman, ML, Kohn, LM, Birren, B, Ma, L-J, Dean, RA
JournalG3 (Bethesda)
Volume5
Issue12
Pages2539-45
Date Published2015 Sep 28
ISSN2160-1836
KeywordsAscomycota, Computational Biology, Genome, Fungal, Genomics, High-Throughput Nucleotide Sequencing, Molecular Sequence Annotation, Plant Diseases, Repetitive Sequences, Nucleic Acid, Sequence Analysis, DNA, Triticum
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 seven chromosomes whereas M. poae and G. graminis var. tritici are sequenced to 40.0× and 25.0× coverage respectively. Gene models were developed by the use of multiple computational techniques and further supported by RNAseq data. In addition, we performed preliminary analysis of genome architecture and repetitive element DNA.

DOI10.1534/g3.115.020057
Pubmed

http://www.ncbi.nlm.nih.gov/pubmed/26416668?dopt=Abstract

Alternate JournalG3 (Bethesda)
PubMed ID26416668
PubMed Central IDPMC4683626
Grant ListT32 AI052080 / AI / NIAID NIH HHS / United States
U19 AI110818 / AI / NIAID NIH HHS / United States
5T32-AI052080-09 / AI / NIAID NIH HHS / United States