The relationship between ribosomal repeat length and genome size in Vicia

The organization of the ribosomal RNA genes was examined in several species of Vicia in an attempt to determine whether a relationship exists between genome size and ribosomal repeat length. Species within this genus exhibit a sevenfold variation in haploid DNA content. Our data suggest that species with an intermediate genome size maintain one predominant Eco RI class of ribosomal repeat of about 9 kilobases (kb). In contrast, the smallest and largest genomes of Vicia possess one major and several minor classes. The possible relationship between repeat classes among species is discussed. We examined the species with the smallest (V. villosa) and largest (V. faba) genomes in closer detail by R-loop analysis of a satellite DNA from Hoechst 33258 dye-CsCl gradients. Heterogeneity was found in the length of the ribosomal repeat for both species, but no appreciable difference was observed in the distribution of these lengths, which averaged 11–12 kb. This heterogeneity is associated with the nontranscribed spacer region. Intervening sequences were not found in either the 25S or 18S coding regions of the ribosomal repeat of either of these two plants. A putative ribosomal RNA precursor of 7 kb was identified for both species.     

When the Background Matters: Using Scenarios from Integrated Assessment Models in Prospective Life Cycle Assessment

Prospective life cycle assessment (LCA) needs to deal with the large epistemological uncertainty about the future to support more robust future environmental impact assessments of technologies. This study proposes a novel approach that systematically changes the background processes in a prospective LCA based on scenarios of an integrated assessment model (IAM), the IMAGE model. Consistent worldwide scenarios from IMAGE are evaluated in the life cycle inventory using ecoinvent v3.3. To test the approach, only the electricity sector was changed in a prospective LCA of an internal combustion engine vehicle (ICEV) and an electric vehicle (EV) using six baseline and mitigation climate scenarios until 2050. This case study shows that changes in the electricity background can be very important for the environmental impacts of EV. Also, the approach demonstrates that the relative environmental performance of EV and ICEV over time is more complex and multifaceted than previously assumed. Uncertainty due to future developments manifests in different impacts depending on the product (EV or ICEV), the impact category, and the scenario and year considered. More robust prospective LCAs can be achieved, particularly for emerging technologies, by expanding this approach to other economic sectors beyond electricity background changes and mobility applications as well as by including uncertainty and changes in foreground parameters. A more systematic and structured composition of future inventory databases driven by IAM scenarios helps to acknowledge epistemological uncertainty and to increase the temporal consistency of foreground and background systems in LCAs of emerging technologies.