5 Works

Data from: Twentieth-century changes in the genetic composition of Swedish field pea metapopulations

Jenny Hagenblad, Matti W. Leino & Erik Boström
Landrace crops are formed by local adaptation, genetic drift and gene flow through seed exchange. In reverse, the study of genetic structure between landrace populations can reveal the effects of these forces over time. We present here the analysis of genetic diversity in 40 Swedish field pea (Pisum sativum L.) populations, either available as historical seed samples from the late nineteenth century or as extant gene bank accessions assembled in the late twentieth century. The...

Data from: Comparison of non-Gaussian quantitative genetic models for migration and stabilizing selection

Jisca Huisman & Jarle Tufto
The balance between stabilizing selection and migration of maladapted individuals has formerly been modeled using a variety of quantitative genetic models of increasing complexity, including models based on a constant expressed genetic variance and models based on normality. The infinitesimal model can accommodate non-normality and a non-constant genetic variance as a result of linkage disequilibrium. It can be seen as a parsimonious one-parameter model which approximates the underlying genetic details well when a large number...

Data from: Artificial selection on allometry: change in elevation but not slope

Camilla K. Egset, Thomas F. Hansen, Arnaud Le Rouzic, Geir H. Bolstad, Gunilla Rosenqvist & Christophe Pélabon
To what extent within-species (static) allometries constitute a constraint on evolution is the subject of a long-standing debate in evolutionary biology. A prerequisite for the constraint hypothesis is that static allometries are hard to change. Several studies have attempted to test this hypothesis with artificial-selection experiments, but their results remain inconclusive due to various methodological issues. Here, we present results from an experiment in which we selected independently on the slope and the elevation of...

Data from: Genetic structure in a fragmented Northern Hemisphere rainforest: large effective sizes and high connectivity among populations of the epiphytic lichen Lobaria pulmonaria

Olga Hilmo, Sverre Lundemo, Håkon Holien, Kirsti Stengrundet & Hans K. Stenøien
An extraordinary diversity of epiphytic lichens is found in the boreal rainforest of central Norway, the highest-latitude rainforest in the world. These rainforest relicts are located in ravine systems, and clear cutting has increased the distance between remaining patches. We hypothesized that the relatively small lichen populations in the remaining forest stands have suffered a depletion of genetic diversity through bottlenecks and founder events. In order to test this hypothesis we assessed genetic diversity and...

Data from: New environmental metabarcodes for analysing soil DNA: potential for studying past and present ecosystems

Laura S. Epp, Sanne Boessenkool, Eva P. Bellemain, James Haile, Alfonso Esposito, Tiayyba Riaz, Christer Erséus, Vladimir I. Gusarov, Mary E. Edwards, Arild Johnsen, Hans K. Stenøien, Kristian Hassel, Håvard Kauserud, Nigel G. Yoccoz, Kari Anne Bråthen, Eske Willerslev, Pierre Taberlet, Eric Coissac & Christian Brochmann
Metabarcoding approaches use total and typically degraded DNA from environmental samples to analyse biotic assemblages and can potentially be carried out for any kinds of organisms in an ecosystem. These analyses rely on specific markers, here called metabarcodes, which should be optimized for taxonomic resolution, minimal bias in amplification of the target organism group and short sequence length. Using bioinformatic tools, we developed metabarcodes for several groups of organisms: fungi, bryophytes, enchytraeids, beetles and birds....

Registration Year

  • 2012

Resource Types

  • Dataset


  • Norwegian University of Science and Technology
  • University of Oslo
  • French National Centre for Scientific Research
  • Natural History Museum
  • University of Southampton
  • University of Gothenburg
  • Linköping University