Understanding the genetic basis of adaptation in response to environmental variation is fundamental as adaptation plays a key role in the extension of ecological niches to marginal habitats and in ecological speciation. Based on the assumption that some genomic markers are correlated to environmental variables, we aimed to detect loci of ecological relevance in the alpine plant Arabis alpina L. sampled in two regions, the French (99 locations) and the Swiss (109 locations) Alps. We used an unusually large genome scan [825 amplified fragment length polymorphism loci (AFLPs)] and four environmental variables related to temperature, precipitation and topography. We detected linkage disequilibrium among only 3.5% of the considered AFLP loci. A population structure analysis identified no admixture in the study regions, and the French and Swiss Alps were differentiated and therefore could be considered as two independent regions. We applied generalized estimating equations (GEE) to detect ecologically relevant loci separately in the French and Swiss Alps. We identified 78 loci of ecological relevance (9%), which were mainly related to mean annual minimum temperature. Only four of these loci were common across the French and Swiss Alps. Finally, we discuss that the genomic characterization of these ecologically relevant loci, as identified in this study, opens up new perspectives for studying functional ecology in A. alpina, its relatives and other alpine plant species.

Adaptation is back on the research schedules of evolutionists and ecologists. This renewed interest is driven by global change, to which species, in particular arctic and alpine ones, either react by migration or adaptation. In this overview, we give a brief introduction to the use of genome scans along with environmental data to identify molecular markers of adaptive relevance. This approach encompasses the sampling of many populations along ecological gradients or from different habitat types combined with genome scans using presumably neutral markers such as amplified fragment length polymorphisms or microsatellites. To identify markers linked to genes under selection, two different methods (besides others) are particularly relevant. (1) One searches for markers exhibiting higher genetic differentiation among populations than expected under neutrality. The frequencies of alleles at such outlier loci can then be related to ecological factors. (2) The other method uses logistic regression between allele presence/absence and ecological factors (i.e. an allele distribution model). It thus directly links marker occurrence with environmental data. We illustrate these two methods with examples from the literature. The strength of genome scans used in parallel with environmental data is that they provide distinct clues for selective forces acting on molecular markers of adaptive relevance in real landscapes. We further discuss limitations of genome scans (e.g. sensitivity to phylogeographic structure and bottlenecks) and of other genomic approaches to detect adaptive molecular markers such as candidate genes, quantitative trait loci or transcription profiling. We stress that the selective advantage of particular alleles has to be proven in selection experiments. We conclude that combining studies on adaptive and neutral molecular markers will largely contribute to our understanding of how species react to global change and will allow us to investigate the 'migration of adaptation'.

Several lines of evidence favour the hypothesis that intracellular biosynthetic protein transport in eukaryotes is mediated by non‐clathrin‐coated vesicles (for a review see Rothman and Orci, 1992). The vesicles have been isolated and a set of their surface proteins has been characterized as coat proteins (COPs). These COPs exist in the cytosol as a preformed complex, the coatomer, which was prior to this study known to contain six subunits: four (alpha‐, beta‐, gamma‐ and delta‐COP) with molecular weights between 160 and 58 kDa, and two additional proteins of approximately 36 and 20 kDa, epsilon‐ and xi‐COP. Here we describe a novel subunit of the coatomer complex, beta′‐COP. This subunit occurs in amounts stoichiometric to the established COPs both in the coatomer and in nonclathrin‐coated vesicles and shows homology to the beta‐subunits of trimeric G proteins.

Cultivars of red clover (Trifolium pratense L.), an important forage crop in temperate regions, are often characterised by an unsatisfactory level of seed yield, leading to high production costs. This complex trait is influenced by many components and negatively correlated with other important traits, such as forage yield or persistence. Therefore, seed yield has proven to be difficult to improve. Thus, the objectives of this study were to assess association among seed yield components and to provide the basis for identifying molecular markers linked to QTLs for seed yield components to assist breeding for improved red clover cultivars. A total of 42 SSR and 216 AFLP loci were used to construct a molecular linkage map with a total map length of 444.2 cM and an average distance between loci of 1.7 cM. A total of 38 QTLs were identified for eight seed yield components. The traits seed number per plant, seed yield per head, seed number per head, head number per plant and percent seed set were highly correlated with seed yield per plant, and QTLs for several of these traits were often detected in the same genome region. Head number per plant may present a particularly useful character for the improvement of seed yield since it can easily be determined before seed maturity. In addition, two genome regions containing four or five QTLs for different seed yield components, respectively, were identified representing candidate regions for further characterisation of QTLs. This study revealed several key components which may facilitate further improvement of seed yield. The QTLs identified represent an important first step towards marker-assisted breeding in red clover.