@article{BemmBeckerLarischetal.2016,
  author    = {Bemm, Felix and Becker, Dirk and Larisch, Christina and Kreuzer, Ines and Escalante-Perez, Maria and Schulze, Waltraud X. and Ankenbrand, Markus and Van de Weyer, Anna-Lena and Krol, Elzbieta and Al-Rasheid, Khaled A. and Mith{\"o}fer, Axel and Weber, Andreas P. and Schultz, J{\"o}rg and Hedrich, Rainer},
  title     = {Venus flytrap carnivorous lifestyle builds on herbivore defense strategies},
  series = {Genome Research},
  volume    = {26},
  journal   = {Genome Research},
  number    = {6},
  doi       = {10.1101/gr.202200.115},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-188799},
  pages     = {812-825},
  year      = {2016},
  abstract  = {Although the concept of botanical carnivory has been known since Darwin's time, the molecular mechanisms that allow animal feeding remain unknown, primarily due to a complete lack of genomic information. Here, we show that the transcriptomic landscape of the Dionaea trap is dramatically shifted toward signal transduction and nutrient transport upon insect feeding, with touch hormone signaling and protein secretion prevailing. At the same time, a massive induction of general defense responses is accompanied by the repression of cell death-related genes/processes. We hypothesize that the carnivory syndrome of Dionaea evolved by exaptation of ancient defense pathways, replacing cell death with nutrient acquisition.},
  language  = {en}
}
@article{BogdanSchultzGrosshans2013,
  author    = {Bogdan, Sven and Schultz, J{\"o}rg and Grosshans, J{\"o}rg},
  title     = {Formin' cellular structures: Physiological roles of Diaphanous (Dia) in actin dynamics},
  series = {Communicative \& Integrative Biology},
  volume    = {6},
  journal   = {Communicative \& Integrative Biology},
  number    = {e27634},
  doi       = {10.4161/cib.27634},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-121305},
  year      = {2013},
  abstract  = {Members of the Diaphanous (Dia) protein family are key regulators of fundamental actin driven cellular processes, which are conserved from yeast to humans. Researchers have uncovered diverse physiological roles in cell morphology, cell motility, cell polarity, and cell division, which are involved in shaping cells into tissues and organs. The identification of numerous binding partners led to substantial progress in our understanding of the differential functions of Dia proteins. Genetic approaches and new microscopy techniques allow important new insights into their localization, activity, and molecular principles of regulation.},
  language  = {en}
}
@article{KellerSchultz2014,
  author    = {Keller, Daniela Barbara and Schultz, J{\"o}rg},
  title     = {Word Formation Is Aware of Morpheme Family Size},
  doi       = {10.1371/journal.pone.0093978},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-112848},
  year      = {2014},
  abstract  = {Words are built from smaller meaning bearing parts, called morphemes. As one word can contain multiple morphemes, one morpheme can be present in different words. The number of distinct words a morpheme can be found in is its family size. Here we used Birth-Death-Innovation Models (BDIMs) to analyze the distribution of morpheme family sizes in English and German vocabulary over the last 200 years. Rather than just fitting to a probability distribution, these mechanistic models allow for the direct interpretation of identified parameters. Despite the complexity of language change, we indeed found that a specific variant of this pure stochastic model, the second order linear balanced BDIM, significantly fitted the observed distributions. In this model, birth and death rates are increased for smaller morpheme families. This finding indicates an influence of morpheme family sizes on vocabulary changes. This could be an effect of word formation, perception or both. On a more general level, we give an example on how mechanistic models can enable the identification of statistical trends in language change usually hidden by cultural influences.},
  language  = {en}
}
@article{MergetKoetschanHackletal.2012,
  author    = {Merget, Benjamin and Koetschan, Christian and Hackl, Thomas and F{\"o}rster, Frank and Dandekar, Thomas and M{\"u}ller, Tobias and Schultz, J{\"o}rg and Wolf, Matthias},
  title     = {The ITS2 Database},
  series = {Journal of Visual Expression},
  volume    = {61},
  journal   = {Journal of Visual Expression},
  number    = {e3806},
  doi       = {10.3791/3806},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-124600},
  year      = {2012},
  abstract  = {The internal transcribed spacer 2 (ITS2) has been used as a phylogenetic marker for more than two decades. As ITS2 research mainly focused on the very variable ITS2 sequence, it confined this marker to low-level phylogenetics only. However, the combination of the ITS2 sequence and its highly conserved secondary structure improves the phylogenetic resolution1 and allows phylogenetic inference at multiple taxonomic ranks, including species delimitation. The ITS2 Database presents an exhaustive dataset of internal transcribed spacer 2 sequences from NCBI GenBank accurately reannotated. Following an annotation by profile Hidden Markov Models (HMMs), the secondary structure of each sequence is predicted. First, it is tested whether a minimum energy based fold (direct fold) results in a correct, four helix conformation. If this is not the case, the structure is predicted by homology modeling. In homology modeling, an already known secondary structure is transferred to another ITS2 sequence, whose secondary structure was not able to fold correctly in a direct fold. The ITS2 Database is not only a database for storage and retrieval of ITS2 sequence-structures. It also provides several tools to process your own ITS2 sequences, including annotation, structural prediction, motif detection and BLAST search on the combined sequence-structure information. Moreover, it integrates trimmed versions of 4SALE and ProfDistS for multiple sequence-structure alignment calculation and Neighbor Joining tree reconstruction. Together they form a coherent analysis pipeline from an initial set of sequences to a phylogeny based on sequence and secondary structure. In a nutshell, this workbench simplifies first phylogenetic analyses to only a few mouse-clicks, while additionally providing tools and data for comprehensive large-scale analyses.},
  language  = {en}
}
@article{SchultzBaier2014,
  author    = {Schultz, J{\"o}rg and Baier, Herbert},
  title     = {ISAAC - InterSpecies Analysing Application using Containers},
  doi       = {10.1186/1471-2105-15-18},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-110124},
  year      = {2014},
  abstract  = {Background Information about genes, transcripts and proteins is spread over a wide variety of databases. Different tools have been developed using these databases to identify biological signals in gene lists from large scale analysis. Mostly, they search for enrichments of specific features. But, these tools do not allow an explorative walk through different views and to change the gene lists according to newly upcoming stories. Results To fill this niche, we have developed ISAAC, the InterSpecies Analysing Application using Containers. The central idea of this web based tool is to enable the analysis of sets of genes, transcripts and proteins under different biological viewpoints and to interactively modify these sets at any point of the analysis. Detailed history and snapshot information allows tracing each action. Furthermore, one can easily switch back to previous states and perform new analyses. Currently, sets can be viewed in the context of genomes, protein functions, protein interactions, pathways, regulation, diseases and drugs. Additionally, users can switch between species with an automatic, orthology based translation of existing gene sets. As todays research usually is performed in larger teams and consortia, ISAAC provides group based functionalities. Here, sets as well as results of analyses can be exchanged between members of groups. Conclusions ISAAC fills the gap between primary databases and tools for the analysis of large gene lists. With its highly modular, JavaEE based design, the implementation of new modules is straight forward. Furthermore, ISAAC comes with an extensive web-based administration interface including tools for the integration of third party data. Thus, a local installation is easily feasible. In summary, ISAAC is tailor made for highly explorative interactive analyses of gene, transcript and protein sets in a collaborative environment.},
  language  = {en}
}
@article{SchultzKeller2013,
  author    = {Schultz, J{\"o}rg and Keller, Daniela Barbara},
  title     = {Connectivity, Not Frequency, Determines the Fate of a Morpheme},
  series = {PLoS ONE},
  journal   = {PLoS ONE},
  doi       = {10.1371/journal.pone.0069945},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-97039},
  year      = {2013},
  abstract  = {Morphemes are the smallest meaningful parts of words and therefore represent a natural unit to study the evolution of words. To analyze the influence of language change on morphemes, we performed a large scale analysis of German and English vocabulary covering the last 200 years. Using a network approach from bioinformatics, we examined the historical dynamics of morphemes, the fixation of new morphemes and the emergence of words containing existing morphemes. We found that these processes are driven mainly by the number of different direct neighbors of a morpheme in words (connectivity, an equivalent to family size or type frequency) and not its frequency of usage (equivalent to token frequency). This contrasts words, whose survival is determined by their frequency of usage. We therefore identified features of morphemes which are not dictated by the statistical properties of words. As morphemes are also relevant for the mental representation of words, this result might enable establishing a link between an individual's perception of language and historical language change.},
  language  = {en}
}
@article{SchultzTerhoeven2013,
  author    = {Schultz, J{\"o}rg and Terhoeven, Niklas},
  title     = {The bilaterian roots of cordon-bleu},
  series = {BMC Research Notes},
  journal   = {BMC Research Notes},
  doi       = {10.1186/1756-0500-6-393},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-97161},
  year      = {2013},
  abstract  = {Background The actin cytoskeleton is essential for many physiological processes of eukaryotic cells. The emergence of new actin fibers is initiated by actin nucleators. Whereas most of them are evolutionary old, the cordon-bleu actin nucleator is classified as vertebrate specific. Findings Using sensitive methods for sequence similarity detection, we identified homologs of cordon-bleu not only in non-vertebrate chordates but also in arthropods, molluscs, annelids and platyhelminthes. These genes contain only a single WH2 domain and therefore resemble more the vertebrate cordon-bleu related 1 protein than the three WH2 domain containing cordon-bleu. Furthermore, we identified a homolog of the N-terminal, ubiquitin like, cobl domain of cordon-bleu in the cnidarian Nematostella vectensis. Conclusion Our results suggest that the ur-form of the cordon-bleu protein family evolved already with the emergence of the bilateria by the combination of existing cobl and WH2 domains. Following a vertebrate specific gene-duplication, one copy gained two additional WH2 domains leading to the actin nucleating cordon-bleu. The function of the ur-form of the cordon-bleu protein family is so far unknown. The identification of a homolog in the model organism Drosophila melanogaster could facilitate its experimental characterization.},
  language  = {en}
}
@article{SchwarzTamuriKultysetal.2016,
  author    = {Schwarz, Roland F. and Tamuri, Asif U. and Kultys, Marek and King, James and Godwin, James and Florescu, Ana M. and Schultz, J{\"o}rg and Goldman, Nick},
  title     = {ALVIS: interactive non-aggregative visualization and explorative analysis of multiple sequence alignments},
  series = {Nucleic Acids Research},
  volume    = {44},
  journal   = {Nucleic Acids Research},
  number    = {8},
  doi       = {10.1093/nar/gkw022},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-166374},
  pages     = {e77},
  year      = {2016},
  abstract  = {Sequence Logos and its variants are the most commonly used method for visualization of multiple sequence alignments (MSAs) and sequence motifs. They provide consensus-based summaries of the sequences in the alignment. Consequently, individual sequences cannot be identified in the visualization and covariant sites are not easily discernible. We recently proposed Sequence Bundles, a motif visualization technique that maintains a one-to-one relationship between sequences and their graphical representation and visualizes covariant sites. We here present Alvis, an open-source platform for the joint explorative analysis of MSAs and phylogenetic trees, employing Sequence Bundles as its main visualization method. Alvis combines the power of the visualization method with an interactive toolkit allowing detection of covariant sites, annotation of trees with synapomorphies and homoplasies, and motif detection. It also offers numerical analysis functionality, such as dimension reduction and classification. Alvis is user-friendly, highly customizable and can export results in publication-quality figures. It is available as a full-featured standalone version (http://www.bitbucket.org/rfs/alvis) and its Sequence Bundles visualization module is further available as a web application (http://science-practice.com/projects/sequence-bundles).},
  language  = {en}
}
@article{WeissSchultz2015,
  author    = {Weiß, Clemens Leonard and Schultz, J{\"o}rg},
  title     = {Identification of divergent WH2 motifs by HMM-HMM alignments},
  series = {BMC Research Notes},
  volume    = {8},
  journal   = {BMC Research Notes},
  number    = {18},
  doi       = {10.1186/s13104-015-0981-7},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-126413},
  year      = {2015},
  abstract  = {Background The actin cytoskeleton is a hallmark of eukaryotic cells. Its regulation as well as its interaction with other proteins is carefully orchestrated by actin interaction domains. One of the key players is the WH2 motif, which enables binding to actin monomers and filaments and is involved in the regulation of actin nucleation. Contrasting conserved domains, the identification of this motif in protein sequences is challenging, as it is short and poorly conserved. Findings To identify divergent members, we combined Hidden-Markov-Model (HMM) to HMM alignments with orthology predictions. Thereby, we identified nearly 500 proteins containing so far not annotated WH2 motifs. This included shootin-1, an actin binding protein involved in neuron polarization. Among others, WH2 motifs of 'proximal to raf' (ptr)-orthologs, which are described in the literature, but not annotated in genome databases, were identified. Conclusion In summary, we increased the number of WH2 motif containing proteins substantially. This identification of candidate regions for actin interaction could steer their experimental characterization. Furthermore, the approach outlined here can easily be adapted to the identification of divergent members of further domain families.},
  language  = {en}
}