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Resolution of deep eudicot phylogeny and their temporal diversification using nuclear genes from transcriptomic and genomic datasets.
Zeng, Liping; Zhang, Ning; Zhang, Qiang; Endress, Peter K; Huang, Jie; Ma, Hong.
Afiliación
  • Zeng L; State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, Ministry of Education Key Laboratory of Biodiversity Sciences and Ecological Engineering, Institute of Plant Biology, Institute of Biodiversity Science, Center for Evolutionary Biology, Scho
  • Zhang N; Department of Botany and Plant Sciences, University of California, Riverside, CA, 92507, USA.
  • Zhang Q; State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, Ministry of Education Key Laboratory of Biodiversity Sciences and Ecological Engineering, Institute of Plant Biology, Institute of Biodiversity Science, Center for Evolutionary Biology, Scho
  • Endress PK; Department of Botany, National Museum of Natural History, MRC 166, Smithsonian Institution, Washington, DC, 20013, USA.
  • Huang J; Guangxi Key Laboratory of Plant Conservation and Restoration Ecology in Karst Terrain, Guangxi Institute of Botany, Guangxi Zhuang Autonomous Region and the Chinese Academy of Sciences, Guilin, 541006, China.
  • Ma H; Institute of Systematic Botany, University of Zurich, Zurich, 8008, Switzerland.
New Phytol ; 214(3): 1338-1354, 2017 May.
Article en En | MEDLINE | ID: mdl-28294342
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Filogenia / Variación Genética / Núcleo Celular / Genes de Plantas / Magnoliopsida / Bases de Datos Genéticas / Transcriptoma Tipo de estudio: Prognostic_studies Idioma: En Revista: New Phytol Asunto de la revista: BOTANICA Año: 2017 Tipo del documento: Article
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Filogenia / Variación Genética / Núcleo Celular / Genes de Plantas / Magnoliopsida / Bases de Datos Genéticas / Transcriptoma Tipo de estudio: Prognostic_studies Idioma: En Revista: New Phytol Asunto de la revista: BOTANICA Año: 2017 Tipo del documento: Article