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Pearl millet genome sequence provides a resource to improve agronomic traits in arid environments.
Varshney, Rajeev K; Shi, Chengcheng; Thudi, Mahendar; Mariac, Cedric; Wallace, Jason; Qi, Peng; Zhang, He; Zhao, Yusheng; Wang, Xiyin; Rathore, Abhishek; Srivastava, Rakesh K; Chitikineni, Annapurna; Fan, Guangyi; Bajaj, Prasad; Punnuri, Somashekhar; Gupta, S K; Wang, Hao; Jiang, Yong; Couderc, Marie; Katta, Mohan A V S K; Paudel, Dev R; Mungra, K D; Chen, Wenbin; Harris-Shultz, Karen R; Garg, Vanika; Desai, Neetin; Doddamani, Dadakhalandar; Kane, Ndjido Ardo; Conner, Joann A; Ghatak, Arindam; Chaturvedi, Palak; Subramaniam, Sabarinath; Yadav, Om Parkash; Berthouly-Salazar, Cécile; Hamidou, Falalou; Wang, Jianping; Liang, Xinming; Clotault, Jérémy; Upadhyaya, Hari D; Cubry, Philippe; Rhoné, Bénédicte; Gueye, Mame Codou; Sunkar, Ramanjulu; Dupuy, Christian; Sparvoli, Francesca; Cheng, Shifeng; Mahala, R S; Singh, Bharat; Yadav, Rattan S; Lyons, Eric.
Afiliação
  • Varshney RK; International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana State, India.
  • Shi C; BGI-Shenzhen, Shenzhen, China.
  • Thudi M; International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana State, India.
  • Mariac C; Institut de recherche pour le développement (IRD), Montpellier, France.
  • Wallace J; University of Georgia, Athens, Georgia, USA.
  • Qi P; University of Georgia, Athens, Georgia, USA.
  • Zhang H; BGI-Shenzhen, Shenzhen, China.
  • Zhao Y; Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
  • Wang X; University of Georgia, Athens, Georgia, USA.
  • Rathore A; International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana State, India.
  • Srivastava RK; International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana State, India.
  • Chitikineni A; International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana State, India.
  • Fan G; BGI-Shenzhen, Shenzhen, China.
  • Bajaj P; International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana State, India.
  • Punnuri S; Fort Valley State University, Fort Valley, Georgia, USA.
  • Gupta SK; International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana State, India.
  • Wang H; Cornell University, Ithaca, New York, USA.
  • Jiang Y; Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
  • Couderc M; Institut de recherche pour le développement (IRD), Montpellier, France.
  • Katta MAVSK; International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana State, India.
  • Paudel DR; University of Florida, Gainesville, Florida, USA.
  • Mungra KD; Junagadh Agricultural University, Jamnagar, Gujarat, India.
  • Chen W; BGI-Shenzhen, Shenzhen, China.
  • Harris-Shultz KR; United States Department of Agriculture-Agricultural Research Service (USDA-ARS), Tifton, Georgia, USA.
  • Garg V; International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana State, India.
  • Desai N; Department of Ecogenomics and Systems Biology, University of Vienna, Vienna, Austria.
  • Doddamani D; Amity University, Mumbai, Maharashtra, India.
  • Kane NA; International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana State, India.
  • Conner JA; Institut Sénégalais de Recherches Agricoles (ISRA), Dakar, Senegal.
  • Ghatak A; University of Georgia, Tifton, Georgia, USA.
  • Chaturvedi P; Department of Ecogenomics and Systems Biology, University of Vienna, Vienna, Austria.
  • Subramaniam S; School of Bioinformatics and Biotechnology, D.Y. Patil University, Mumbai, Maharashtra, India.
  • Yadav OP; Department of Ecogenomics and Systems Biology, University of Vienna, Vienna, Austria.
  • Berthouly-Salazar C; University of Arizona, Tucson, Arizona, USA.
  • Hamidou F; Phoenix Bioinformatics, Redwood City, California, USA.
  • Wang J; Indian Council of Agricultural Research (ICAR)-Central Arid Zone Research Institute (CAZRI), Jodhpur, Rajasthan, India.
  • Liang X; Institut de recherche pour le développement (IRD), Montpellier, France.
  • Clotault J; Laboratoire Mixte International Adaptation des Plantes et Microorganismes Associés aux Stress Environnementaux, Centre de Recherche de Bel Air, Dakar, Senegal.
  • Upadhyaya HD; ICRISAT Sahelian Center, Niamey, Niger.
  • Cubry P; Faculty of Sciences and Techniques, University Abdou Moumouni, Niamey, Niger.
  • Rhoné B; University of Florida, Gainesville, Florida, USA.
  • Gueye MC; BGI-Shenzhen, Shenzhen, China.
  • Sunkar R; Institut de recherche pour le développement (IRD), Montpellier, France.
  • Dupuy C; University of Montpellier, Montpellier, France.
  • Sparvoli F; International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana State, India.
  • Cheng S; Institut de recherche pour le développement (IRD), Montpellier, France.
  • Mahala RS; Institut de recherche pour le développement (IRD), Montpellier, France.
  • Singh B; Laboratoire de biométrie et Biologie Evolutive, Université Lyon 1, Villeurbanne, France.
  • Yadav RS; Institut Sénégalais de Recherches Agricoles (ISRA), Dakar, Senegal.
  • Lyons E; Oklahoma State University, Stillwater, Oklahoma, USA.
Nat Biotechnol ; 35(10): 969-976, 2017 Oct.
Article em En | MEDLINE | ID: mdl-28922347
ABSTRACT
Pearl millet [Cenchrus americanus (L.) Morrone] is a staple food for more than 90 million farmers in arid and semi-arid regions of sub-Saharan Africa, India and South Asia. We report the ∼1.79 Gb draft whole genome sequence of reference genotype Tift 23D2B1-P1-P5, which contains an estimated 38,579 genes. We highlight the substantial enrichment for wax biosynthesis genes, which may contribute to heat and drought tolerance in this crop. We resequenced and analyzed 994 pearl millet lines, enabling insights into population structure, genetic diversity and domestication. We use these resequencing data to establish marker trait associations for genomic selection, to define heterotic pools, and to predict hybrid performance. We believe that these resources should empower researchers and breeders to improve this important staple crop.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genoma de Planta / Característica Quantitativa Herdável / Pennisetum / Agricultura / Clima Desértico Tipo de estudo: Prognostic_studies Idioma: En Revista: Nat Biotechnol Assunto da revista: BIOTECNOLOGIA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Índia

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genoma de Planta / Característica Quantitativa Herdável / Pennisetum / Agricultura / Clima Desértico Tipo de estudo: Prognostic_studies Idioma: En Revista: Nat Biotechnol Assunto da revista: BIOTECNOLOGIA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Índia