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Sequence of the Sugar Pine Megagenome.
Stevens, Kristian A; Wegrzyn, Jill L; Zimin, Aleksey; Puiu, Daniela; Crepeau, Marc; Cardeno, Charis; Paul, Robin; Gonzalez-Ibeas, Daniel; Koriabine, Maxim; Holtz-Morris, Ann E; Martínez-García, Pedro J; Sezen, Uzay U; Marçais, Guillaume; Jermstad, Kathy; McGuire, Patrick E; Loopstra, Carol A; Davis, John M; Eckert, Andrew; de Jong, Pieter; Yorke, James A; Salzberg, Steven L; Neale, David B; Langley, Charles H.
Afiliación
  • Stevens KA; Department of Evolution and Ecology, University of California at Davis, California 95616 kastevens@ucdavis.edu chlangley@ucdavis.edu.
  • Wegrzyn JL; Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, Connecticut.
  • Zimin A; Institute for Physical Sciences and Technology (IPST), University of Maryland, College Park, Maryland.
  • Puiu D; Center for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland.
  • Crepeau M; Department of Evolution and Ecology, University of California at Davis, California 95616.
  • Cardeno C; Department of Evolution and Ecology, University of California at Davis, California 95616.
  • Paul R; Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, Connecticut.
  • Gonzalez-Ibeas D; Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, Connecticut.
  • Koriabine M; Children's Hospital Oakland Research Institute, California.
  • Holtz-Morris AE; Children's Hospital Oakland Research Institute, California.
  • Martínez-García PJ; Department of Plant Sciences, University of California at Davis, California.
  • Sezen UU; Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, Connecticut.
  • Marçais G; Institute for Physical Sciences and Technology (IPST), University of Maryland, College Park, Maryland.
  • Jermstad K; United States Department of Agriculture Forest Service, Pacific Southwest Research Station, Placerville, California.
  • McGuire PE; Department of Plant Sciences, University of California at Davis, California.
  • Loopstra CA; Department of Ecosystem Science and Management, Texas A&M University, College Station, Texas.
  • Davis JM; School of Forest Resources and Conservation, University of Florida, Gainesville, Florida.
  • Eckert A; Department of Biology, Virginia Commonwealth University, Richmond, Virginia.
  • de Jong P; Children's Hospital Oakland Research Institute, California.
  • Yorke JA; Institute for Physical Sciences and Technology (IPST), University of Maryland, College Park, Maryland.
  • Salzberg SL; Center for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland.
  • Neale DB; Departments of Biomedical Engineering, Computer Science, and Biostatistics, Johns Hopkins University, Baltimore, Maryland.
  • Langley CH; Department of Plant Sciences, University of California at Davis, California.
Genetics ; 204(4): 1613-1626, 2016 Dec.
Article en En | MEDLINE | ID: mdl-27794028
ABSTRACT
Until very recently, complete characterization of the megagenomes of conifers has remained elusive. The diploid genome of sugar pine (Pinus lambertiana Dougl.) has a highly repetitive, 31 billion bp genome. It is the largest genome sequenced and assembled to date, and the first from the subgenus Strobus, or white pines, a group that is notable for having the largest genomes among the pines. The genome represents a unique opportunity to investigate genome "obesity" in conifers and white pines. Comparative analysis of P. lambertiana and P. taeda L. reveals new insights on the conservation, age, and diversity of the highly abundant transposable elements, the primary factor determining genome size. Like most North American white pines, the principal pathogen of P. lambertiana is white pine blister rust (Cronartium ribicola J.C. Fischer ex Raben.). Identification of candidate genes for resistance to this pathogen is of great ecological importance. The genome sequence afforded us the opportunity to make substantial progress on locating the major dominant gene for simple resistance hypersensitive response, Cr1 We describe new markers and gene annotation that are both tightly linked to Cr1 in a mapping population, and associated with Cr1 in unrelated sugar pine individuals sampled throughout the species' range, creating a solid foundation for future mapping. This genomic variation and annotated candidate genes characterized in our study of the Cr1 region are resources for future marker-assisted breeding efforts as well as for investigations of fundamental mechanisms of invasive disease and evolutionary response.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genoma de Planta / Pinus Tipo de estudio: Prognostic_studies Idioma: En Revista: Genetics Año: 2016 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genoma de Planta / Pinus Tipo de estudio: Prognostic_studies Idioma: En Revista: Genetics Año: 2016 Tipo del documento: Article