@misc{HartmannPreickAbeltetal.2020, author = {Hartmann, Stefanie and Preick, Michaela and Abelt, Silke and Scheffel, Andr{\´e} and Hofreiter, Michael}, title = {Annotated genome sequences of the carnivorous plant Roridula gorgonias and a non-carnivorous relative, Clethra arborea}, series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, issn = {1866-8372}, doi = {10.25932/publishup-50375}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-503752}, pages = {8}, year = {2020}, abstract = {Objective Plant carnivory is distributed across the tree of life and has evolved at least six times independently, but sequenced and annotated nuclear genomes of carnivorous plants are currently lacking. We have sequenced and structurally annotated the nuclear genome of the carnivorous Roridula gorgonias and that of a non-carnivorous relative, Madeira's lily-of-the-valley-tree, Clethra arborea, both within the Ericales. This data adds an important resource to study the evolutionary genetics of plant carnivory across angiosperm lineages and also for functional and systematic aspects of plants within the Ericales. Results Our assemblies have total lengths of 284 Mbp (R. gorgonias) and 511 Mbp (C. arborea) and show high BUSCO scores of 84.2\% and 89.5\%, respectively. We used their predicted genes together with publicly available data from other Ericales' genomes and transcriptomes to assemble a phylogenomic data set for the inference of a species tree. However, groups of orthologs showed a marked absence of species represented by a transcriptome. We discuss possible reasons and caution against combining predicted genes from genome- and transriptome-based assemblies.}, language = {en} } @misc{DennisBallesterosRobinetal.2020, author = {Dennis, Alice B. and Ballesteros, Gabriel I. and Robin, St{\´e}phanie and Schrader, Lukas and Bast, Jens and Bergh{\"o}fer, Jan and Beukeboom, Leo W. and Belghazi, Maya and Bretaudeau, Anthony and Buellesbach, Jan and Cash, Elizabeth and Colinet, Dominique and Dumas, Zo{\´e} and Errbii, Mohammed and Falabella, Patrizia and Gatti, Jean-Luc and Geuverink, Elzemiek and Gibson, Joshua D. and Hertaeg, Corinne and Hartmann, Stefanie and Jacquin-Joly, Emmanuelle and Lammers, Mark and Lavandero, Blas I. and Lindenbaum, Ina and Massardier-Galata, Lauriane and Meslin, Camille and Montagn{\´e}, Nicolas and Pak, Nina and Poiri{\´e}, Maryl{\`e}ne and Salvia, Rosanna and Smith, Chris R. and Tagu, Denis and Tares, Sophie and Vogel, Heiko and Schwander, Tanja and Simon, Jean-Christophe and Figueroa, Christian C. and Vorburger, Christoph and Legeai, Fabrice and Gadau, J{\"u}rgen}, title = {Functional insights from the GC-poor genomes of two aphid parasitoids, Aphidius ervi and Lysiphlebus fabarum}, series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, number = {989}, issn = {1866-8372}, doi = {10.25932/publishup-47612}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-476129}, pages = {29}, year = {2020}, abstract = {Background Parasitoid wasps have fascinating life cycles and play an important role in trophic networks, yet little is known about their genome content and function. Parasitoids that infect aphids are an important group with the potential for biological control. Their success depends on adapting to develop inside aphids and overcoming both host aphid defenses and their protective endosymbionts. Results We present the de novo genome assemblies, detailed annotation, and comparative analysis of two closely related parasitoid wasps that target pest aphids: Aphidius ervi and Lysiphlebus fabarum (Hymenoptera: Braconidae: Aphidiinae). The genomes are small (139 and 141 Mbp) and the most AT-rich reported thus far for any arthropod (GC content: 25.8 and 23.8\%). This nucleotide bias is accompanied by skewed codon usage and is stronger in genes with adult-biased expression. AT-richness may be the consequence of reduced genome size, a near absence of DNA methylation, and energy efficiency. We identify missing desaturase genes, whose absence may underlie mimicry in the cuticular hydrocarbon profile of L. fabarum. We highlight key gene groups including those underlying venom composition, chemosensory perception, and sex determination, as well as potential losses in immune pathway genes. Conclusions These findings are of fundamental interest for insect evolution and biological control applications. They provide a strong foundation for further functional studies into coevolution between parasitoids and their hosts. Both genomes are available at https://bipaa.genouest.org.}, language = {en} } @misc{BarlowHartmannGonzalezetal.2020, author = {Barlow, Axel and Hartmann, Stefanie and Gonzalez, Javier and Hofreiter, Michael and Paijmans, Johanna L. A.}, title = {Consensify}, series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, number = {1033}, issn = {1866-8372}, doi = {10.25932/publishup-47252}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-472521}, pages = {24}, year = {2020}, abstract = {A standard practise in palaeogenome analysis is the conversion of mapped short read data into pseudohaploid sequences, frequently by selecting a single high-quality nucleotide at random from the stack of mapped reads. This controls for biases due to differential sequencing coverage, but it does not control for differential rates and types of sequencing error, which are frequently large and variable in datasets obtained from ancient samples. These errors have the potential to distort phylogenetic and population clustering analyses, and to mislead tests of admixture using D statistics. We introduce Consensify, a method for generating pseudohaploid sequences, which controls for biases resulting from differential sequencing coverage while greatly reducing error rates. The error correction is derived directly from the data itself, without the requirement for additional genomic resources or simplifying assumptions such as contemporaneous sampling. For phylogenetic and population clustering analysis, we find that Consensify is less affected by artefacts than methods based on single read sampling. For D statistics, Consensify is more resistant to false positives and appears to be less affected by biases resulting from different laboratory protocols than other frequently used methods. Although Consensify is developed with palaeogenomic data in mind, it is applicable for any low to medium coverage short read datasets. We predict that Consensify will be a useful tool for future studies of palaeogenomes.}, language = {en} }