Suchergebnisse

ZusammenfassungDer Kompromiss ist eine Technik, mit der Konflikte über Zugeständnisse an konfligierende Sichtweisen und Positionen reguliert werden. Dass er in unterschiedlichen historischen wie gegenwärtigen gesellschaftlichen Kontexten ermöglicht, mit Konflikten umzugehen, macht ihn zu einem relevanten Gegenstand politikwissenschaftlicher wie geschichtswissenschaftlicher Forschung. Dieser Rezensionsaufsatz diskutiert aktuelle Literatur zum Thema aus beiden Disziplinen und fokussiert vier Themen: die Rolle von Kompromissen in Demokratien und Nicht-Demokratien, schlechte und gute Kompromisse, die historische Variabilität von Kompromissen sowie Voraussetzungen von Kompromissen.

In differentiated cells, aging is associated with hypermethylation of DNA regions enriched in repressive histone post-translational modifications. However, the chromatin marks associated with changes in DNA methylation in adult stem cells during lifetime are still largely unknown. Here, DNA methylation profiling of mesenchymal stem cells (MSCs) obtained from individuals aged 2 to 92 yr identified 18,735 hypermethylated and 45,407 hypomethylated CpG sites associated with aging. As in differentiated cells, hypermethylated sequences were enriched in chromatin repressive marks. Most importantly, hypomethylated CpG sites were strongly enriched in the active chromatin mark H3K4me1 in stem and differentiated cells, suggesting this is a cell type-independent chromatin signature of DNA hypomethylation during aging. Analysis of scedasticity showed that interindividual variability of DNA methylation increased during aging in MSCs and differentiated cells, providing a new avenue for the identification of DNA methylation changes over time. DNA methylation profiling of genetically identical individuals showed that both the tendency of DNA methylation changes and scedasticity depended on nongenetic as well as genetic factors. Our results indicate that the dynamics of DNA methylation during aging depend on a complex mixture of factors that include the DNA sequence, cell type, and chromatin context involved and that, depending on the locus, the changes can be modulated by genetic and/or external factors. ; We thank Ronnie Lendrum for manuscript preparation and Tim Triche Jr. for his invaluable advice. This work has been financially supported by the Plan Nacional de I+D+I 2008-2011/2013-2016/FEDER (PI11/01728 to A.F.F., PI 12/0615 to J.A.R., PI10/0449 to P.M., and PI11/0119 to C.B.); the ISCIII-Subdirección General de Evaluación y Fomento de la Investigación (Miguel Servet contracts CP11/00131 to A.F.F. and CP07/0059 to C.B.); the Spanish Ministry of Health (PS09/02454 and PI12/01080 to M.F.F.); the Spanish National Research Council (CSIC; 200820I172 to M.F.F.); IUOPA (to C.F. and G.F.B.); Fundacion Cientifica de la AECC (to R.G.U. and P.M.); Fundación Ramón Areces (to M.F.F.); and FICYT (to E.G.T.). J.G.-C. receives funding from the Fondo de Investigaciones Sanitarias (FIS; PI05/2217 and PI08/0029) and the Madrid Regional Government (S-BIO-0204-2006 and S2010/BMD-2420). J.A.R. receives funding from the Fondo de Investigaciones Sanitarias (ISCIII-FIS PI 12/0615). P.M. is also supported by MINECO (SAF2013/43065), ERANET E-Rare (PI112/03112), and Fundación Sandra Ibarra. P.M. also acknowledges support from Obra Social "La Caixa/Fundacio Josep Carreras." The IUOPA is supported by the Obra Social Cajastur, Spain. ; Sí

The genome of potato, a major global food crop, was recently sequenced. The work presented here details the integration of the potato reference genome (DM) with a new sequence-tagged site marker-based linkage map and other physical and genetic maps of potato and the closely related species tomato. Primary anchoring of the DM genome assembly was accomplished by the use of a diploid segregating population, which was genotyped with several types of molecular genetic markers to construct a new similar to 936 cM linkage map comprising 2469 marker loci. In silico anchoring approaches used genetic and physical maps from the diploid potato genotype RH89-039-16 (RH) and tomato. This combined approach has allowed 951 superscaffolds to be ordered into pseudomolecules corresponding to the 12 potato chromosomes. These pseudomolecules represent 674 Mb (similar to 93%) of the 723 Mb genome assembly and 37,482 (similar to 96%) of the 39,031 predicted genes. The superscaffold order and orientation within the pseudomolecules are closely collinear with independently constructed high density linkage maps. Comparisons between marker distribution and physical location reveal regions of greater and lesser recombination, as well as regions exhibiting significant segregation distortion. The work presented here has led to a greatly improved ordering of the potato reference genome superscaffolds into chromosomal pseudomolecules. ; Potato Genome Sequencing grant, UK; Scottish Government Rural and Environmental Science and Analytical Services Division (RESAS); Department for Environment, Food and Rural Affairs (DEFRA)Department for Environment, Food & Rural Affairs (DEFRA); Agriculture and Horticulture Development Board (AHDB)-Potato Council; Biotechnology and Biological Sciences Research Council (BBSRC)Biotechnology and Biological Sciences Research Council (BBSRC) [BB/F012640]; New Zealand Institute for Crop & Food Research Ltd Strategic Science Initiative; New Zealand Institute for Plant & Food Research Ltd Capability Fund, New Zealand; NMEA (Netherlands Ministry of Economic Affairs); CBSG (Centre for BioSystems Genomics); STW (Netherlands Technology Foundation), The Netherlands [07796]; Teagasc Core Funding; DAFF-Research Stimulus Fund, Ireland; International Potato Center (CIP-CGIAR)/CRP RTB, Peru; CONICYTComision Nacional de Investigacion Cientifica y Tecnologica (CONICYT) [Fondap 1509007, PBCT-PSD-03]; CONICYT (Basal CMM); CIRIC INRIA; INIA-Ministry of Agriculture of Chile, Chile; FEMCIDI OEA [PE/09/02 MINCyT-CONCyTEC]; Instituto Nacional de Tecnologia Agropecuaria (INTA-Core Funds); Ministerio de Ciencia y Tecnologia (MINCyT), Argentina; Proyecto FEMCIDI-OEA [SEDI/AE-305 /09]; Proyecto Bilateral Argentina, Per; FINCyT [099-FINCyT-EQUIP-2009) / (076-FINCyT-PIN-2008)]; Prestamo BID [1663/OC-PE]; Instituto Nacional de Innovacion Agraria, Ministry of Agriculture of Peru; Peruvian Ministry of Agriculture, Technical Secretariat of coordination; CGIAR; Consejo Nacional de Ciencia, Tecnologia e Innovacion Tecnologica, Peru (CONCYTEC); Special Multilateral Fund of the Inter-American Council for Integral Development (FEMCIDI-Peru); Biotechnology and Biological Sciences Research CouncilBiotechnology and Biological Sciences Research Council (BBSRC) [BB/F012640/1] ; We thank Andrzej Kilian (Diversity Arrays Technology, Australia) for DArT genotyping of the DMDD mapping population. We acknowledge Peter E. Hedley and Clare Booth (The James Hutton Institute, UK) for help with SNP genotyping. We thank S. B. Divito (Instituto Nacional de Tecnologia Agropecuaria, Balcarce, Argentina) for technical assistance. We are also grateful to Luke Ramsay and Peter E. Hedley (The James Hutton Institute, UK) for comments on the manuscript. AFLP and WGP are (registered) trademarks owned by KeyGene N.V. We acknowledge the funding made available by the Potato Genome Sequencing grant, UK [Scottish Government Rural and Environmental Science and Analytical Services Division (RESAS), Department for Environment, Food and Rural Affairs (DEFRA), Agriculture and Horticulture Development Board (AHDB)-Potato Council, Biotechnology and Biological Sciences Research Council (BBSRC, Grant BB/F012640)]; New Zealand Institute for Crop & Food Research Ltd Strategic Science Initiative and the New Zealand Institute for Plant & Food Research Ltd Capability Fund, New Zealand; NMEA (Netherlands Ministry of Economic Affairs), CBSG (Centre for BioSystems Genomics), STW (Netherlands Technology Foundation grant 07796), The Netherlands; Teagasc Core Funding, DAFF-Research Stimulus Fund, Ireland; International Potato Center (CIP-CGIAR)/CRP RTB, Peru; CONICYT (Fondap 1509007, Basal CMM, PBCT-PSD-03), CIRIC INRIA, INIA-Ministry of Agriculture of Chile, Chile; FEMCIDI OEA, PE/09/02 MINCyT-CONCyTEC, 2010-2011, Instituto Nacional de Tecnologia Agropecuaria (INTA-Core Funds) and Ministerio de Ciencia y Tecnologia (MINCyT), Argentina; Proyecto FEMCIDI-OEA SEDI/AE-305 /09 (2008-2012), Proyecto Bilateral Argentina, Per; FINCyT (099-FINCyT-EQUIP-2009) / (076-FINCyT-PIN-2008), Prestamo BID no. 1663/OC-PE, Instituto Nacional de Innovacion Agraria, Ministry of Agriculture of Peru, Peruvian Ministry of Agriculture, Technical Secretariat of coordination with the CGIAR, Consejo Nacional de Ciencia, Tecnologia e Innovacion Tecnologica, Peru (CONCYTEC), Special Multilateral Fund of the Inter-American Council for Integral Development (FEMCIDI-Peru).