30 Works

Data from: A global meta-analysis on the ecological drivers of forest restoration success

Renato Crouzeilles, Michael Curran, Mariana S. Ferreira, David B. Lindenmayer, Carlos E. V. Grelle & José M. Rey Benayas
Two billion ha have been identified globally for forest restoration. Our meta-analysis encompassing 221 study landscapes worldwide reveals forest restoration enhances biodiversity by 15–84% and vegetation structure by 36–77%, compared with degraded ecosystems. For the first time, we identify the main ecological drivers of forest restoration success (defined as a return to a reference condition, that is, old-growth forest) at both the local and landscape scale. These are as follows: the time elapsed since restoration...

Data from: Dynamic NF-κB and E2F interactions control the priority and timing of inflammatory signalling and cell proliferation

John M. Ankers, Raheela Awais, Nicholas A. Jones, James Boyd, Sheila Ryan, Anotony D. Adamson, Claire V. Harper, Lloyd Bridge, David G. Spiller, Dean A. Jackson, Pawel Paszek, Violaine Sée & Micheal R. H. White
Dynamic cellular systems reprogram gene expression to ensure appropriate cellular fate responses to specific extracellular cues. Here we demonstrate that the dynamics of Nuclear Factor kappa B (NF-κB) signalling and the cell cycle are prioritised differently depending on the timing of an inflammatory signal. Using iterative experimental and computational analyses, we show physical and functional interactions between NF-κB and the E2 Factor 1 (E2F-1) and E2 Factor 4 (E2F-4) cell cycle regulators. These interactions modulate...

Data from: Horizontal gene acquisitions, mobile element proliferation, and genome decay in the host - restricted plant pathogen Erwinia tracheiphila

Lori R. Shapiro, Erin D. Scully, Timothy J. Straub, Jihye Park, Andrew G. Stephenson, Gwyn A. Beattie, Mark L. Gleason, Roberto Kolter, Miguel C. Coelho, Consuelo M. De Moraes, Mark C. Mescher & Olga Zhaxybayeva
Modern industrial agriculture depends on high density cultivation of genetically similar crop plants, creating favorable conditions for the emergence of novel pathogens with increased fitness in managed compared to ecologically intact settings. Here, we present the genome sequence of six strains of the cucurbit bacterial wilt pathogen Erwinia tracheiphila (Enterobacteriaceae) isolated from infected squash plants in New York, Pennsylvania, Kentucky, and Michigan. These genomes exhibit a high proportion of recent horizontal gene acquisitions, invasion and...

Data from: Local human pressures influence gene flow in a hybridizing Daphnia species complex

Benjamin Alric, Markus Möst, Isabelle Domaizon, Cecile Pignol, Piet Spaak & Marie-Elodie Perga
Anthropogenic environmental changes are considered critical drivers of the genetic structure of populations and communities through, for example, the facilitation of introgressive hybridization between syntopic species. However, the mechanisms by which environmental perturbations trigger changes in the genetic structure of populations and communities, such as the processes that determine the directionality of hybridization and patterns of mitochondrial introgression over many generations, remain largely unexplored. In this study, the changes in genetic structure of hybridizing members...

Data from: Bayesian total-evidence dating reveals the recent crown radiation of penguins

Alexandra Gavryushkina, Tracy A. Heath, Daniel T. Ksepka, Tanja Stadler, David Welch & Alexei J. Drummond
The total-evidence approach to divergence time dating uses molecular and morphological data from extant and fossil species to infer phylogenetic relationships, species divergence times, and macroevolutionary parameters in a single coherent framework. Current model-based implementations of this approach lack an appropriate model for the tree describing the diversification and fossilization process and can produce estimates that lead to erroneous conclusions. We address this shortcoming by providing a total-evidence method implemented in a Bayesian framework. This...

Registration Year

  • 2016

Resource Types

  • Dataset


  • Swiss Federal Institute of Technology in Zurich
  • Swiss Federal Institute of Aquatic Science and Technology
  • University of Zurich
  • University of Auckland
  • University of British Columbia
  • Swiss Federal Institute for Forest, Snow and Landscape Research
  • Iowa State University
  • University of Oxford
  • University of Ljubljana
  • Royal Museum for Central Africa