@article{SchottdorfEglenWolfetal.2014, author = {Schottdorf, Manuel and Eglen, Stephen J. and Wolf, Fred and Keil, Wolfgang}, title = {Can Retinal Ganglion Cell Dipoles Seed Iso-Orientation Domains in the Visual Cortex?}, series = {PLOS ONE}, volume = {9}, journal = {PLOS ONE}, number = {1}, issn = {1932-6203}, doi = {10.1371/journal.pone.0086139}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-117558}, pages = {e86139}, year = {2014}, abstract = {It has been argued that the emergence of roughly periodic orientation preference maps (OPMs) in the primary visual cortex (V1) of carnivores and primates can be explained by a so-called statistical connectivity model. This model assumes that input to V1 neurons is dominated by feed-forward projections originating from a small set of retinal ganglion cells (RGCs). The typical spacing between adjacent cortical orientation columns preferring the same orientation then arises via Moire 'Interference between hexagonal ON/OFF RGC mosaics. While this Moire-Interference critically depends on long-range hexagonal order within the RGC mosaics, a recent statistical analysis of RGC receptive field positions found no evidence for such long-range positional order. Hexagonal order may be only one of several ways to obtain spatially repetitive OPMs in the statistical connectivity model. Here, we investigate a more general requirement on the spatial structure of RGC mosaics that can seed the emergence of spatially repetitive cortical OPMs, namely that angular correlations between so-called RGC dipoles exhibit a spatial structure similar to that of OPM autocorrelation functions. Both in cat beta cell mosaics as well as primate parasol receptive field mosaics we find that RGC dipole angles are spatially uncorrelated. To help assess the level of these correlations, we introduce a novel point process that generates mosaics with realistic nearest neighbor statistics and a tunable degree of spatial correlations of dipole angles. Using this process, we show that given the size of available data sets, the presence of even weak angular correlations in the data is very unlikely. We conclude that the layout of ON/OFF ganglion cell mosaics lacks the spatial structure necessary to seed iso-orientation domains in the primary visual cortex.}, language = {en} } @article{SchmidtkeFindeissSharmaetal.2011, author = {Schmidtke, Cornelius and Findeiß, Sven and Sharma, Cynthia M. and Kuhfuss, Juliane and Hoffmann, Steve and Vogel, J{\"o}rg and Stadler, Peter F. and Bonas, Ulla}, title = {Genome-wide transcriptome analysis of the plant pathogen Xanthomonas identifies sRNAs with putative virulence functions}, series = {Nucleic Acids Research}, volume = {40}, journal = {Nucleic Acids Research}, number = {5}, doi = {10.1093/nar/gkr904}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-131781}, pages = {2020 -- 2031}, year = {2011}, abstract = {The Gram-negative plant-pathogenic bacterium Xanthomonas campestris pv. vesicatoria (Xcv) is an important model to elucidate the mechanisms involved in the interaction with the host. To gain insight into the transcriptome of the Xcv strain 85-10, we took a differential RNA sequencing (dRNA-seq) approach. Using a novel method to automatically generate comprehensive transcription start site (TSS) maps we report 1421 putative TSSs in the Xcv genome. Genes in Xcv exhibit a poorly conserved -10 promoter element and no consensus Shine-Dalgarno sequence. Moreover, 14\% of all mRNAs are leaderless and 13\% of them have unusually long 5'-UTRs. Northern blot analyses confirmed 16 intergenic small RNAs and seven cis-encoded antisense RNAs in Xcv. Expression of eight intergenic transcripts was controlled by HrpG and HrpX, key regulators of the Xcv type III secretion system. More detailed characterization identified sX12 as a small RNA that controls virulence of Xcv by affecting the interaction of the pathogen and its host plants. The transcriptional landscape of Xcv is unexpectedly complex, featuring abundant antisense transcripts, alternative TSSs and clade-specific small RNAs.}, language = {en} }