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Chloroplast genome and nuclear loci data for 71 Medicago species.
Sousa, Filipe de; Bertrand, Yann J K; Zizka, Alexander; Cangrén, Patrik; Oxelman, Bengt; Pfeil, Bernard E.
Afiliación
  • Sousa F; cE3c-Centre for Ecology, Evolution and Environmental Changes & CHANGE-Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisbon, Portugal.
  • Bertrand YJK; Institute of Botany, Academy of Sciences of the Czech Republic, CZ-252 43 Pruhonice, Czech Republic.
  • Zizka A; Department of Biology, Philipps-University Marburg, Karl-von-Frisch-Strape 8, 35043 Marburg, Germany.
  • Cangrén P; Department of Biological and Environmental Sciences, University of Gothenburg, Medicinaregatan 7B, Göteborg 413 90, Sweden.
  • Oxelman B; Department of Biological and Environmental Sciences, University of Gothenburg, Medicinaregatan 7B, Göteborg 413 90, Sweden.
  • Pfeil BE; Department of Biological and Environmental Sciences, University of Gothenburg, Medicinaregatan 7B, Göteborg 413 90, Sweden.
Data Brief ; 54: 110540, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38868387
ABSTRACT
We present a dataset containing nuclear and chloroplast sequences for 71 species in genus Medicago (Fabaceae), as well as for 8 species in genera Melilotus and Trigonella. Sequence data for a total of 130 samples was obtained with high-throughput sequencing of enriched genomic DNA libraries targeting 61 single-copy nuclear genes from across the Medicago truncatula genome. Chloroplast sequence reads were also generated, allowing for the recovery of chloroplast genome sequences for all 130 samples. A fully-resolved phylogenetic tree was inferred from the chloroplast dataset using maximum-likelihoood methods. More than 80% of accepted Medicago species are represented in this dataset, including three subspecies of Medicago sativa (alfalfa). These data can be further utilised for phylogenetic analyses in Medicago and related genera, but also for probe and primer design and plant breeding studies.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2024 Tipo del documento: Article País de afiliación: Portugal Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2024 Tipo del documento: Article País de afiliación: Portugal Pais de publicación: Países Bajos