Autor: |
Odile Rogier, Aurélien Chateigner, Marie-Claude Lesage-Descauses, Claire Mandin, Véronique Brunaud, José Caius, Ludivine Soubigou-Taconnat, José Almeida-Falcon, Catherine Bastien, Vanina Benoit, Guillaume Bodineau, Nathalie Boizot, Corinne Buret, Jean-Paul Charpentier, Annabelle Déjardin, Alain Delaunay, Régis Fichot, Véronique Laine Prade, Françoise Laurans, Isabelle Le Jan, Anne-Laure Legac, Stéphane Maury, Mesfin Nigussie Gebreselassie, Patrick Poursat, Céline Ridel, Léopoldo Sanchez, Véronique Jorge, Vincent Segura |
Jazyk: |
angličtina |
Rok vydání: |
2023 |
Předmět: |
|
Zdroj: |
BMC Research Notes, Vol 16, Iss 1, Pp 1-5 (2023) |
Druh dokumentu: |
article |
ISSN: |
1756-0500 |
DOI: |
10.1186/s13104-023-06521-w |
Popis: |
Abstract Objective Black poplar (Populus nigra L.) is a species native to Eurasia with a wide distribution area. It is an ecologically important species from riparian ecosystems, that is used as a parent of interspecific (P. deltoides x P. nigra) cultivated poplar hybrids. Variant detection from transcriptomics sequences of 241 P. nigra individuals, sampled in natural populations from 11 river catchments (in four European countries) is described here. These data provide new valuable resources for population structure analysis, population genomics and genome-wide association studies. Data description We generated transcriptomics data from a mixture of young differentiating xylem and cambium tissues of 480 Populus nigra trees sampled in a common garden experiment located at Orléans (France), corresponding to 241 genotypes (2 clonal replicates per genotype, at maximum) by using RNAseq technology. We launched on the resulting sequences an in-silico pipeline that allowed us to obtain 878,957 biallelic polymorphisms without missing data. More than 99% of these positions are annotated and 98.8% are located on the 19 chromosomes of the P. trichocarpa reference genome. The raw RNAseq sequences are available at the NCBI Sequence Read Archive SPR188754 and the variant dataset at the Recherche Data Gouv repository under https://doi.org/10.15454/8DQXK5 . |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
|
Nepřihlášeným uživatelům se plný text nezobrazuje |
K zobrazení výsledku je třeba se přihlásit.
|