Intervening Sequence Acquired by Lateral Gene Transfer in Tropheryma whipplei Results in 23S rRNA Fragmentation

Completion of Tropheryma whipplei genome sequencing may provide insights into the evolution of the molecular mechanisms underlying the pathogenicity of this microorganism. The first postgenomic application was the successful design of a comprehensive culture medium that allows axenic growth of this bacterium, which is particularly recalcitrant to cultivation. This achievement in turn permitted analysis of T. whipplei RNA without contaminating eukaryotic nucleic acids. To obtain high-quality RNA, several extraction methods were compared, but under all conditions tested an atypical profile was observed. By using a Northern blot assay we demonstrated that an insertion sequence previously described in T. whipplei 23S rRNA is in fact an intervening sequence excised during maturation. This cleavage could involve an RNase III identified in the genome of this microorganism. Among the bacteria with a 23S rRNA insertion sequence, T. whipplei is the only gram-positive microorganism. We present phylogenetic evidence that this mobile genetic element was acquired by lateral gene transfer from another enteric bacterium.     

Structure and modeling studies of the carboxy-terminus region of human tropoelastin.

Elastin macromolecular assembly is a highly complex mechanism involving many steps including coacervation, cross-linking, and probably other (not known) phenomena. In past studies, it has been proposed that the C-terminal part of tropoelastin is also involved in this process and may play a key role in tropoelastin interactions with other proteins of the final elastic fibres scaffold. Presented here are the results of the biophysical studies (biospectroscopy, bioinformatics) of the C-terminal domain of tropoelastin. We report the detailed structures adopted by the oxidized (native) and reduced forms of the free synthetic peptide with sequence encoded by exon 36 of human tropoelastin (GGACLGKACGRKRK) and propose a dynamical interpretation of which structures may be involved in interactions with other extra-cellular matrix proteins. We also suggest that these structures may be retrieved in other proteins sharing a consensus sequence; however no definitive conclusion can be drawn here on a possible structure-function relationship.     

Comparing and evaluating process-based ecosystem model predictions of carbon and water fluxes in major European forest biomes

Process‐based models can be classified into: (a) terrestrial biogeochemical models (TBMs), which simulate fluxes of carbon, water and nitrogen coupled within terrestrial ecosystems, and (b) dynamic global vegetation models (DGVMs), which further couple these processes interactively with changes in slow ecosystem processes depending on resource competition, establishment, growth and mortality of different vegetation types. In this study, four models – RHESSys, GOTILWA+, LPJ‐GUESS and ORCHIDEE – representing both modelling approaches were compared and evaluated against benchmarks provided by eddy‐covariance measurements of carbon and water fluxes at 15 forest sites within the EUROFLUX project. Overall, model‐measurement agreement varied greatly among sites. Both modelling approaches have somewhat different strengths, but there was no model among those tested that universally performed well on the two variables evaluated. Small biases and errors suggest that ORCHIDEE and GOTILWA+ performed better in simulating carbon fluxes while LPJ‐GUESS and RHESSys did a better job in simulating water fluxes. In general, the models can be considered as useful tools for studies of climate change impacts on carbon and water cycling in forests. However, the various sources of variation among models simulations and between models simulations and observed data described in this study place some constraints on the results and to some extent reduce their reliability. For example, at most sites in the Mediterranean region all models generally performed poorly most likely because of problems in the representation of water stress effects on both carbon uptake by photosynthesis and carbon release by heterotrophic respiration (R_h). The use of flux data as a means of assessing key processes in models of this type is an important approach to improving model performance. Our results show that the models have value but that further model development is necessary with regard to the representation of the some of the key ecosystem processes.