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The present volume documents the twofold character of the conference 'Science meets Comics' with the first part focusing on comics as a format for communicating complex topics and the second part addressing food in the age of the Anthropocene as one such example for complex topics. The overall objective of the symposium was to deal with the results and suggestions of the presentations and discussions, to find possible pathways on how to feed the world in the future and to co-produce the final chapter of the scientific comic 'Eating Anthropocene' together with all artists participating in the project. In order to sum up the framing, contents and design process of the comic as well as to highlight its Anthropocene context we below provide a slightly abridged version of the preface of our comic book.
Aging of biological systems is controlled by various processes which have a potential impact on gene expression. Here we report a genome-wide transcriptome analysis of the fungal aging model Podospora anserina. Total RNA of three individuals of defined age were pooled and analyzed by SuperSAGE (serial analysis of gene expression). A bioinformatics analysis identified different molecular pathways to be affected during aging. While the abundance of transcripts linked to ribosomes and to the proteasome quality control system were found to decrease during aging, those associated with autophagy increase, suggesting that autophagy may act as a compensatory quality control pathway. Transcript profiles associated with the energy metabolism including mitochondrial functions were identified to fluctuate during aging. Comparison of wild-type transcripts, which are continuously down-regulated during aging, with those down-regulated in the long-lived, copper-uptake mutant grisea, validated the relevance of age-related changes in cellular copper metabolism. Overall, we (i) present a unique age-related data set of a longitudinal study of the experimental aging model P. anserina which represents a reference resource for future investigations in a variety of organisms, (ii) suggest autophagy to be a key quality control pathway that becomes active once other pathways fail, and (iii) present testable predictions for subsequent experimental investigations.