TY - JOUR A1 - Mateos, Mariana A1 - Kang, Du A1 - Klopp, Christophe A1 - Parrinello, Hugues A1 - García-Olazábal, Mateo A1 - Schumer, Molly A1 - Jue, Nathaniel K. A1 - Guiguen, Yann A1 - Schartl, Manfred T1 - Draft genome assembly and annotation of the Gila Topminnow Poeciliopsis occidentalis JF - Frontiers in Ecology and Evolution N2 - No abstract available. KW - genome assembly KW - genome annotation KW - transposable elements KW - topminnow KW - mitochondrial genome Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-190339 SN - 2296-701X VL - 7 IS - 404 ER - TY - JOUR A1 - Schartl, Manfred A1 - Kneitz, Susanne A1 - Volkoff, Helene A1 - Adolfi, Mateus A1 - Schmidt, Cornelia A1 - Fischer, Petra A1 - Minx, Patrick A1 - Tomlinson, Chad A1 - Meyer, Axel A1 - Warren, Wesley C. T1 - The piranha genome provides molecular insight associated to its unique feeding behavior JF - Genome Biology and Evolution N2 - The piranha enjoys notoriety due to its infamous predatory behavior but much is still not understood about its evolutionary origins and the underlying molecular mechanisms for its unusual feeding biology. We sequenced and assembled the red-bellied piranha (Pygocentrus nattereri) genome to aid future phenotypic and genetic investigations. The assembled draft genome is similar to other related fishes in repeat composition and gene count. Our evaluation of genes under positive selection suggests candidates for adaptations of piranhas’ feeding behavior in neural functions, behavior, and regulation of energy metabolism. In the fasted brain, we find genes differentially expressed that are involved in lipid metabolism and appetite regulation as well as genes that may control the aggression/boldness behavior of hungry piranhas. Our first analysis of the piranha genome offers new insight and resources for the study of piranha biology and for feeding motivation and starvation in other organisms. KW - whole-genome sequencing KW - genome annotation KW - comparative genomics KW - RNA-seq transcriptome KW - energy homeostasis Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-202218 VL - 11 IS - 8 ER - TY - JOUR A1 - Sharma, Cynthia M. A1 - Dugar, Gaurav A1 - Herbig, Alexander A1 - Förstner, Konrad U. A1 - Heidrich, Nadja A1 - Reinhardt, Richard A1 - Nieselt, Kay T1 - High-Resolution Transcriptome Maps Reveal Strain-Specific Regulatory Features of Multiple Campylobacter jejuni Isolates JF - PLoS Genetics N2 - Campylobacter jejuni is currently the leading cause of bacterial gastroenteritis in humans. Comparison of multiple Campylobacter strains revealed a high genetic and phenotypic diversity. However, little is known about differences in transcriptome organization, gene expression, and small RNA (sRNA) repertoires. Here we present the first comparative primary transcriptome analysis based on the differential RNA–seq (dRNA–seq) of four C. jejuni isolates. Our approach includes a novel, generic method for the automated annotation of transcriptional start sites (TSS), which allowed us to provide genome-wide promoter maps in the analyzed strains. These global TSS maps are refined through the integration of a SuperGenome approach that allows for a comparative TSS annotation by mapping RNA–seq data of multiple strains into a common coordinate system derived from a whole-genome alignment. Considering the steadily increasing amount of RNA–seq studies, our automated TSS annotation will not only facilitate transcriptome annotation for a wider range of pro- and eukaryotes but can also be adapted for the analysis among different growth or stress conditions. Our comparative dRNA–seq analysis revealed conservation of most TSS, but also single-nucleotide-polymorphisms (SNP) in promoter regions, which lead to strain-specific transcriptional output. Furthermore, we identified strain-specific sRNA repertoires that could contribute to differential gene regulation among strains. In addition, we identified a novel minimal CRISPR-system in Campylobacter of the type-II CRISPR subtype, which relies on the host factor RNase III and a trans-encoded sRNA for maturation of crRNAs. This minimal system of Campylobacter, which seems active in only some strains, employs a unique maturation pathway, since the crRNAs are transcribed from individual promoters in the upstream repeats and thereby minimize the requirements for the maturation machinery. Overall, our study provides new insights into strain-specific transcriptome organization and sRNAs, and reveals genes that could modulate phenotypic variation among strains despite high conservation at the DNA level. KW - bacterial genomics KW - CRISPRs KW - genome annotation KW - campylobacter KW - genomic libraries KW - genomic library construction KW - sequence motif analysis KW - transcriptome analysis Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-96610 ER - TY - JOUR A1 - Yu, Sung-Huan A1 - Vogel, Jörg A1 - Förstner, Konrad U. T1 - ANNOgesic: a Swiss army knife for the RNA-seq based annotation of bacterial/archaeal genomes JF - GigaScience N2 - To understand the gene regulation of an organism of interest, a comprehensive genome annotation is essential. While some features, such as coding sequences, can be computationally predicted with high accuracy based purely on the genomic sequence, others, such as promoter elements or noncoding RNAs, are harder to detect. RNA sequencing (RNA-seq) has proven to be an efficient method to identify these genomic features and to improve genome annotations. However, processing and integrating RNA-seq data in order to generate high-resolution annotations is challenging, time consuming, and requires numerous steps. We have constructed a powerful and modular tool called ANNOgesic that provides the required analyses and simplifies RNA-seq-based bacterial and archaeal genome annotation. It can integrate data from conventional RNA-seq and differential RNA-seq and predicts and annotates numerous features, including small noncoding RNAs, with high precision. The software is available under an open source license (ISCL) at https://pypi.org/project/ANNOgesic/. KW - genome annotation KW - RNA-seq KW - transcriptomics Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-178942 VL - 7 ER -