No abstract

Environmental gradients can generate large-scale variation in morphology, physiology, life history and behaviour. The essence of the correlations between environmental factors and phenotypic traits is captured by ecogeographical rules (Gaston et al., 2008), many of which have been formulated long ago. However, the data to formally statistically test them have become available only recently.Birds play a prominent role in investigating global patterns of trait variation, because they are one of the best-studied taxonomic groups. Accordingly, recent studies have shown predictable patterns of spatial variation in several avian life-history or phenotypic traits, including body size (

Defense responses of Fagus sylvatica seedlings elicited by infection with the root pathogen Phytophthora citricola and root or leaf wounding were compared at local and systemic levels in differential display experiments using two-dimensional gel electrophoresis followed by homology-driven mass spectrometric identification of proteins. A total of 68 protein spots were identified representing 51 protein functions related to protein synthesis and processing, energy, primary and secondary metabolism, as well as signal transduction, stress and defense. Changes in the abundance of root and leaf proteins partly overlapped between plant responses to the different stressors. The response to pathogen infection was rather late, weak and unspecific and accompanied by adjustments of the energy and primary metabolism which suggested either a lack of recognition or a suppression of host's defense reaction by the invading pathogen. The response to wounding involved changes in the basal metabolism as well as activation of defense mechanisms. Both types of changes were largely specific to the wounded organ. Similarities between the defense mechanisms activated by root infection and root wounding were also observed.

Homology-driven proteomics aims at exploring the proteomes of organisms with unsequenced genomes that, despite rapid genomic sequencing progress, still represent the overwhelming majority of species in the biosphere. Methodologies have been developed to enable automated LC-MS/MS identifications of unknown proteins, which rely on the sequence similarity between the fragmented peptides and reference database sequences from phylogenetically related species. However, because full sequences of matched proteins are not available and matching specificity is reduced, estimating protein abundances should become the obligatory element of homology-driven proteomics pipelines to circumvent the interpretation bias towards proteins from evolutionary conserved families.

Protein extraction procedure and the reducing agent content (DTT, dithioerythritol, tributyl phosphine and tris (2-carboxyethyl) phosphine (TCEP)) of the sample and rehydration buffers were optimised for European beech leaves and roots and Norway spruce needles. Optimal extraction was achieved with 100 mM DTT for leaves and needles and a mixture of 2 mM TCEP and 50 mM DTT for roots. Performing IEF in buffers containing hydroxyethyldisulphide significantly enhanced the quality of separation for all proteins except for acidic root proteins, which were optimally focused in the same buffer as extracted.