4 Works

High-quality SNPs from genic regions highlight introgression patterns among European white oaks (Quercus petraea and Q. robur)

Tiange Lang, Pierre Abadie, Valerie Leger, Thibaut Decourcelle, Jean-Marc Frigerio, Christian Burban, Catherine Bodenes, Erwan Guichoux, Gregoire Le Provost, Cecile Robin, Naoki Tani, Patrick Leger, Camille Lepoittevin, Veronica El Mujtar, Francois Hubert, Josquin Tibbits, Jorge Paiva, Alain Franc, Frederic Raspail, Stephanie Mariette, Marie-Pierre Reviron, Christophe Plomion, Antoine Kremer, Marie-Laure Desprez-Loustau & Pauline Garnier-Géré
In the post-genomics era, non-model species like most Fagaceae still lack operational diversity resources for population genomics studies. Sanger sequences were produced from over 800 gene fragments covering ~530 kb across the genic partition of European oaks in a range-wide sampling of 25 individuals (11 Quercus petraea, 13 Q. robur, one Q. ilex as an outgroup). Regions targeted represented broad functional categories potentially involved in species ecological preferences, and a random set of genes. Using...

Optical maps refine the bread wheat Triticum aestivum cv Chinese Spring genome assembly

Tingting Zhu, Le Wang, Hélène Rimbert, Juan Rodriguez, Karin Deal, Romain De Oliveira, Frédéric Choulet, Gabriel Keeble-Gagnère, Josquin Tibbits, Jane Rogers, Kellye Eversole, Rudi Appels, Yong Gu, Martin Mascher, Jan Dvorak, Ming-Cheng Luo, Juan C. Rodriguez, Karin R. Deal, Gabriel Keeble‐Gagnère, Yong Q. Gu & Ming‐Cheng Luo
This dataset contains a single whole-genome optical map file (.CMAP) for bread wheat (Triticum aestivum) cv Chinese Spring (CS). The methods for constructing this optical map and the properties of this map are described below. The definition of the CMAP format is documented in https://bionanogenomics.com/wp-content/uploads/2017/03/30039-CMAP-File-Format-Specification-Sheet.pdf. The extracted ultra-high-molecular weight DNA molecules of CS were labeled with the DLE-1 enzyme (Bionano Genomics, San Diego, CA, USA) and were then stained with the Bionano PrepTM DLS Kit...

Data from: Scans for signatures of selection in Russian cattle breed genomes reveal new candidate genes for environmental adaptation and acclimation

Andrey A. Yurchenko, Hans D. Daetwyler, Nikolay Yudin, Robert D. Schnabel, Christy J. Vander Jagt, Vladimir Soloshenko, Bulat Lhasaranov, Ruslan Popov, Jeremey F. Taylor & Denis M. Larkin
Domestication and selective breeding has resulted in over 1000 extant cattle breeds. Many of these breeds do not excel in important traits but are adapted to local environments. These adaptations are a valuable source of genetic material for efforts to improve commercial breeds. As a step toward this goal we identified candidate regions to be under selection in genomes of nine Russian native cattle breeds adapted to survive in harsh climates. After comparing our data...

Explaining the worldwide distributions of two highly mobile species: Cakile edentula and C. maritima

Roger Cousens, Elliot Shaw, Rachael Fowler, Sara Ohadi, Michael Bayly, Rosemary Barrett, Josquin Tibbits, Allan Strand, Charles Willis, Kathleen Donohue & Philipp Robeck
Aim: If we are able to determine the geographic origin of an invasion, as well as its known area of introduction, we can better appreciate the innate environmental tolerance of a species and the strength of selection for adaptation that colonising populations have undergone. It also enables us to maximise the success of searches for effective biological control agents. We determined the number of successful colonisation events that have occurred throughout the world for two...

Registration Year

  • 2021
    2
  • 2020
    1
  • 2018
    1

Resource Types

  • Dataset
    4

Affiliations

  • AgriBio
    4
  • University of California, Davis
    2
  • College of Charleston
    1
  • Duke University
    1
  • University of Minnesota
    1
  • University of Clermont Auvergne
    1
  • University of Melbourne
    1
  • Agricultural Research Service
    1
  • Siberian Branch of the Russian Academy of Sciences
    1
  • Institute of Plant Genetics and Crop Plant Research
    1