Your browser doesn't support javascript.
loading
A platinum standard pan-genome resource that represents the population structure of Asian rice.
Zhou, Yong; Chebotarov, Dmytro; Kudrna, Dave; Llaca, Victor; Lee, Seunghee; Rajasekar, Shanmugam; Mohammed, Nahed; Al-Bader, Noor; Sobel-Sorenson, Chandler; Parakkal, Praveena; Arbelaez, Lady Johanna; Franco, Natalia; Alexandrov, Nickolai; Hamilton, N Ruaraidh Sackville; Leung, Hei; Mauleon, Ramil; Lorieux, Mathias; Zuccolo, Andrea; McNally, Kenneth; Zhang, Jianwei; Wing, Rod A.
Afiliación
  • Zhou Y; Center for Desert Agriculture, Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.
  • Chebotarov D; International Rice Research Institute (IRRI), Strategic Innovation, Los Baños, 4031, Laguna, Philippines.
  • Kudrna D; Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, Arizona, 85721, USA.
  • Llaca V; Genomics Technologies, Applied Science and Technology, Corteva AgriscienceTM, Iowa, IA, 50131, USA.
  • Lee S; Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, Arizona, 85721, USA.
  • Rajasekar S; Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, Arizona, 85721, USA.
  • Mohammed N; Center for Desert Agriculture, Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.
  • Al-Bader N; Center for Desert Agriculture, Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.
  • Sobel-Sorenson C; Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, Arizona, 85721, USA.
  • Parakkal P; Genomics Technologies, Applied Science and Technology, Corteva AgriscienceTM, Iowa, IA, 50131, USA.
  • Arbelaez LJ; Rice Genetics and Genomics Lab, International Center for Tropical Agriculture (CIAT), Cali, Colombia.
  • Franco N; Rice Genetics and Genomics Lab, International Center for Tropical Agriculture (CIAT), Cali, Colombia.
  • Alexandrov N; International Rice Research Institute (IRRI), Strategic Innovation, Los Baños, 4031, Laguna, Philippines.
  • Hamilton NRS; International Rice Research Institute (IRRI), Strategic Innovation, Los Baños, 4031, Laguna, Philippines.
  • Leung H; International Rice Research Institute (IRRI), Strategic Innovation, Los Baños, 4031, Laguna, Philippines.
  • Mauleon R; International Rice Research Institute (IRRI), Strategic Innovation, Los Baños, 4031, Laguna, Philippines.
  • Lorieux M; Rice Genetics and Genomics Lab, International Center for Tropical Agriculture (CIAT), Cali, Colombia.
  • Zuccolo A; University of Montpellier, DIADE, IRD, Montpellier, France.
  • McNally K; Center for Desert Agriculture, Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia. andrea.zuccolo@kaust.edu.sa.
  • Zhang J; Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy. andrea.zuccolo@kaust.edu.sa.
  • Wing RA; International Rice Research Institute (IRRI), Strategic Innovation, Los Baños, 4031, Laguna, Philippines.
Sci Data ; 7(1): 113, 2020 04 07.
Article en En | MEDLINE | ID: mdl-32265447
ABSTRACT
As the human population grows from 7.8 billion to 10 billion over the next 30 years, breeders must do everything possible to create crops that are highly productive and nutritious, while simultaneously having less of an environmental footprint. Rice will play a critical role in meeting this demand and thus, knowledge of the full repertoire of genetic diversity that exists in germplasm banks across the globe is required. To meet this demand, we describe the generation, validation and preliminary analyses of transposable element and long-range structural variation content of 12 near-gap-free reference genome sequences (RefSeqs) from representatives of 12 of 15 subpopulations of cultivated Asian rice. When combined with 4 existing RefSeqs, that represent the 3 remaining rice subpopulations and the largest admixed population, this collection of 16 Platinum Standard RefSeqs (PSRefSeq) can be used as a template to map resequencing data to detect virtually all standing natural variation that exists in the pan-genome of cultivated Asian rice.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Oryza / Genoma de Planta Idioma: En Revista: Sci Data Año: 2020 Tipo del documento: Article País de afiliación: Arabia Saudita

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Oryza / Genoma de Planta Idioma: En Revista: Sci Data Año: 2020 Tipo del documento: Article País de afiliación: Arabia Saudita