Biology subjects

Petersen, B.

Publications and source records attributed to Petersen, B..

31 records · Page 2Linked to original sources

bioRxiv2020

Population genomics of the emerging forest pathogen Neonectria neomacrospora

The fungal pathogen Neonectria neomacrospora is of increasing concern in Europe where, within the last decade, it has caused substantial damage to forest stands and ornamental trees of the genus Abies (Mill.). Using whole-genome sequencing of a comprehensive collection of isolates, we show the extent of three major clades within N. neomacrospora, which most likely diverged around the end of the last Ice Age. We find it likely that the current European epidemic of N. neomacrospora was founded from a population belonging to the east North American clade. All European isolates (1957-2019) had a common evolutionary history, but substantial and asymmetrical gene flow from the larger American source population could be detected. The European population shows multiple signs of having gone through a bottleneck and subsequent population expansion.

genomics↗

bioRxiv2020

Rapid discovery of novel prophages using biological feature engineering and machine learning

Prophages are phages that are integrated into bacterial genomes and which are key to understanding many aspects of bacterial biology. Their extreme diversity means they are challenging to detect using sequence similarity, yet this remains the paradigm and thus many phages remain unidentified. We present a novel, fast and generalizing machine learning method based on feature space to facilitate novel prophage discovery. To validate the approach, we reanalyzed publicly available marine viromes and single-cell genomes using our feature-based approaches and found consistently more phages than were detected using current state-of-the-art tools while being notably faster. This demonstrates that our approach significantly enhances bacteriophage discovery and thus provides a new starting point for exploring new biologies.

bioinformatics↗

bioRxiv2020

RAS-inhibiting biologics identify and probe druggable pockets including an SII-α3 allosteric site.

RAS mutations are the most common oncogenic drivers across human cancers, but there remains a paucity of clinically-validated pharmacological inhibitors of RAS, as druggable pockets have proven difficult to identify. We have identified two RAS-binding Affimer proteins, K3 and K6, that inhibit nucleotide exchange and downstream signalling pathways with distinct isoform and mutant profiles. Affimer K6 is the first biologic to bind in the SI/SII pocket, whilst Affimer K3 is the first non-covalent inhibitor of the SII region, revealing a novel RAS conformer with a large, druggable SII/3 pocket. This work demonstrates the potential of using biologics with small interface surfaces to select novel druggable conformations in conjunction with pharmacophore identification for hard-to-drug proteins.

molecular biology↗

bioRxiv2020

Golgi-localized exo-β1,3-galactosidases involved in AGP modification and root cell expansion in Arabidopsis

Plant arabinogalactan proteins (AGPs) are a diverse group of cell surface- and wall-associated glycoproteins. Functionally important AGP glycans are synthesized in the Golgi apparatus, but the relationships between their glycosylation, processing, and functionality are poorly understood. Here we report the identification and functional characterization of two Golgi-localized exo-{beta}-1,3-galactosidases from the glycosyl hydrolase 43 (GH43) family in Arabidopsis thaliana. GH43 loss of function mutants exhibit root cell expansion defects in sugar-containing growth media. This root phenotype is associated with an increase in the extent of AGP cell wall association, as demonstrated by Yariv phenylglycoside dye quantification and comprehensive microarray polymer profiling of sequentially extracted cell walls. Recombinant GH43 characterization showed that the exo-{beta}-1,3-galactosidase activity of GH43s is hindered by {beta}-1,6 branches on {beta}-1,3-galactans. In line with this steric hindrance, the recombinant GH43s did not release galactose from cell wall extracted glycoproteins or AGP rich gum arabic. These results show that Arabidopsis GH43s are involved in AGP glycan biosynthesis in the Golgi, and suggest their exo-{beta}-1,3-galactosidase activity influences AGP and cell wall matrix interactions, thereby adjusting cell wall extensibility.

plant biology↗

bioRxiv2019

The tuatara genome: insights into vertebrate evolutionfrom the sole survivor of an ancient reptilian order

The tuatara (Sphenodon punctatus), the only living member of the archaic reptilian order Rhynchocephalia (Sphenodontia) once widespread across Gondwana, is an iconic and enigmatic terrestrial vertebrate endemic to New Zealand. A key link to the now extinct stem reptiles from which dinosaurs, modern reptiles, birds and mammals evolved, the tuatara provides exclusive insights into the ancestral amniotes. The tuatara genome, at [~]5 Gbp, is among the largest vertebrate genomes assembled. Analysis of this genome and comparisons to other vertebrates reinforces the uniqueness of the tuatara. Phylogenetic analyses indicate tuatara diverged from the snakes and lizards [~]250 MYA. This lineage also shows moderate rates of molecular evolution, with instances of punctuated evolution. Genome sequence analysis identifies expansions of protein, non-protein-coding RNA families, and repeat elements, the latter of which show an extraordinary amalgam of reptilian and mammalian features. Sequencing of this genome provides a valuable resource for deep comparative analyses of tetrapods, as well as for tuatara biology and conservation. It also provides important insights into both the technical challenges and the cultural obligations associated with genome sequencing.

genomics↗

bioRxiv2019

A novel and direct mobilome approach improves the detection of larger-sized circular elements across kingdoms

Mobile genetic elements (MGEs) are instrumental in natural prokaryotic genome editing, permitting genome plasticity and allowing microbes to accumulate immense genetic diversity. MGEs include DNA elements such as plasmids, transposons and Insertion Sequences (IS-elements), as well as bacteriophages (phages), and they serve as a vast communal gene pool. These mobile DNA elements represent a human health risk as they can add new traits, such as antibiotic resistance or virulence, to a bacterial strain. Sequencing libraries targeting circular MGEs, referred to as mobilomes, allows the expansion of our current understanding of the mechanisms behind the mobility, prevalence and content of these elements. However, metamobilomes from bacterial communities are not studied to the same extent as metagenomics, partly because of methodological biases arising from multiple displacement amplification (MDA), often used in previous metamobilome publications. In this study, we show that MDA is detrimental to the detection of larger-sized plasmids if small plasmids are present by comparing the abundances of reads mapping to plasmids in a wastewater sample spiked with a mock community of selected plasmids with and without MDA. Furthermore, we show that it is possible to produce samples consisting almost exclusively of circular MGEs and obtain a catalog of larger, complete, circular MGEs from complex samples without the use of MDA.\n\nImportanceMobile genetic elements (MGEs) can transport genetic information between genomes in different bacterial species, adding new traits, potentially generating dangerous multidrug-resistant pathogens. In fact, plasmids and circular MGEs can encode bacterial genetic specializations such as virulence, resistance to metals, antimicrobial compounds, and bacteriophages, as well as the degradation of xenobiotics. For this reason, circular MGEs are crucial to investigate, but they are often missed in metagenomics and ecological studies. In this study, we present, for the first time, an improved method, which reduces the bias towards small MGEs and we demonstrate that this method can unveil larger, complete circular MGEs from complex samples without the use of multiple displacement amplification. This method may result in the detection of larger-sized plasmids that have hitherto remained unnoticed and therefore has the potential to reveal novel accessory genes, acting as possible targets in the development of preventive strategies directed at pathogens.

microbiology↗

bioRxiv2019

The knockout of the HMG-Domain of the porcine SRY-gene by CRISPR/Cas RNP microinjection causes sex reversal in gene-edited pigs

1The sex-determining region on the Y chromosome (SRY) is thought to be the central genetic element of male sex development. Mutations within the SRY gene are associated with a male-to-female sex reversal syndrome in humans and other mammalian species such as mice and rabbits. However, the underlying mechanisms are largely unknown. To understand the biological function of the SRY gene, a site-directed mutational analysis is required to investigate associated phenotypic changes at the molecular, cellular and morphological level. In our study, we successfully generated a knockout of the porcine SRY gene by microinjection of two clustered regularly interspaced short palindromic repeats (CRISPR) - associated protein - 9 nuclease (Cas9) ribonucleoprotein (RNP) complexes targeting the centrally located "high mobility group" (HMG) domain of the SRY gene. Mutations within this region resulted in the development of complete external and internal female genitalia in genetically male pigs. The internal female genitalia including uteri, ovaries, and oviducts, revealed substantial size differences in 9-months old SRY-knockout pigs compared to age-matched female wild type controls. In contrast, a deletion within the 5 flanking region of the HMG domain was not associated with sex reversal. Results of this study demonstrates for the first time the central role of the HMG domain of the SRY gene in male sex determination in pigs. Moreover, quantitative analysis by digital PCR revealed evidence for a duplication of the porcine SRY locus. Our results pave the way towards the generation of boars exclusively producing phenotypically female offspring to avoid surgical castration without anesthesia in piglets. Moreover, the study establishes a large animal model that is much more similar to humans in regard of physiology and anatomy and pivotal for longitudinal studies.

developmental biology↗

bioRxiv2019

The genome and mRNA transcriptome of the cosmopolitan calanoid copepod Acartia tonsa Dana improve the understanding of copepod genome size evolution

Members of the crustacean subclass Copepoda are likely the most abundant metazoans worldwide. Pelagic marine species are critical in converting planktonic microalgae to animal biomass, supporting oceanic food webs. Despite their abundance and ecological importance, only five copepod genomes are publicly available, owing to a number of factors including large genome size, repetitiveness, GC-content, and small animal size. Here, we report the sixth representative copepod genome and the first genome and transcriptome from the calanoid copepod species Acartia tonsa Dana, which is among the most numerous mesozooplankton in boreal coastal and estuarine waters. The ecology, physiology and behavior of A. tonsa has been studied extensively. The genetic resources contributed in this work will allow researchers to link experimental results to molecular mechanisms. From PCRfree WGS and mRNA Illumina data, we assemble the largest copepod genome to date. We estimate A. tonsa has a total genome size of 2.5 Gb including repetitive elements we could not resolve. The non-repetitive fraction of the genome assembly is estimated to be 566Mb. Our DNA sequencing-based analyses suggest there is a 14-fold difference in genome size between the six members of Copepoda with available genomic information through NCBI. This finding complements nucleus staining genome size estimations, where 100-fold difference has been reported within 70 species. We briefly analyze the repeat structure in the existing copepod WGS datasets. The information presented here confirms the evolution of genome size in Copepoda and expands the scope for evolutionary inferences in Copepoda by providing several levels of genetic information from a key planktonic crustacean species.

genomics↗

bioRxiv2018

The whole genome sequence and mRNA transcriptome of the tropical cyclopoid copepod Apocyclops royi

Copepoda is one of the most ecologically important animal groups on Earth, yet very few genetic resources are available for this Subclass. Here, we present the first whole genome sequence (WGS, acc. UYDY01) and the first mRNA transcriptome assembly (TSA, Acc. GHAJ01) for the tropical cyclopoid copepod species Apocyclops royi. Until now, only the 18S small subunit of ribosomal RNA gene and the COI gene has been available from A. royi, and only one other cyclopoid copepod had WGS resources available. Overall, the provided resources are the 7th copepod species to have WGS available and the 19th copepod species with TSA information available. We analyze the length and GC content of the provided WGS scaffolds as well as the coverage and gene content of both the WGS and the TSA assembly. Finally, we place the resources within the copepod order Cyclopoida as a member of the Apocyclops genus. We estimate the total genome size of A. royi to 450 Mb, with 181 Mb assembled nonrepetitive, 76 Mb assembled repeats and 193Mb unassembled sequence. The TSA assembly consists of 29,737 genes and an additional 45,756 isoforms. In the WGS and TSA assemblies, >80% and >95% of core genes can be found, though many in fragmented versions. The provided resources will allow researchers to conduct physiological experiments on A. royi, and also increase the possibilities for copepod gene set analysis, as it adds substantially to the copepod datasets available.

genomics↗

bioRxiv2018

MobiSeq: De Novo SNP discovery in model and non-model species through sequencing the flanking region of transposable elements

In recent years, the availability of reduced representation library (RRL) methods has catalysed an expansion of genome-scale studies to characterize both model and non-model organisms. Most of these methods rely on the use of restriction enzymes to obtain DNA sequences at a genome-wide level. These approaches have been widely used to sequence thousands of markers across individuals for many organisms at a reasonable cost, revolutionizing the field of population genomics. However, there are still some limitations associated with these methods, in particular, the high molecular weight DNA required as starting material, the reduced number of common loci among investigated samples, and the short length of the sequenced site-associated DNA. Here, we present MobiSeq, a RRL protocol exploiting simple laboratory techniques, that generates genomic data based on PCR targeted-enrichment of transposable elements and the sequencing of the associated flanking region. We validate its performance across 103 DNA extracts derived from three mammalian species: grey wolf (Canis lupus), red deer complex (Cervus sp.), and brown rat (Rattus norvegicus). MobiSeq enables the sequencing of hundreds of thousands loci across the genome, and performs SNP discovery with relatively low rates of clonality. Given the ease and flexibility of MobiSeq protocol, the method has the potential to be implemented for marker discovery and population genomics across a wide range of organisms - enabling the exploration of diverse evolutionary and conservation questions.

genomics↗

bioRxiv2018

Base pair editing of goat embryos: nonsense codon introgression into FGF5 to improve cashmere yield

The ability to alter single bases without DNA double strand breaks provides a potential solution for multiplex editing of livestock genomes for quantitative traits. Here, we report using a single base editing system, Base Editor 3 (BE3), to induce nonsense codons (C-to-T transitions) at four target sites in caprine FGF5. All five progenies produced from microinjected single-cell embryos had alleles with a targeted nonsense mutation and yielded expected phenotypes. The effectiveness of BE3 to make single base changes varied considerably based on sgRNA design. Also, the rate of mosaicism differed between animals, target sites, and tissue type. PCR amplicon and whole genome resequencing analyses for off-target changes caused by BE3 were low at a genome-wide scale. This study provides first evidence of base editing in livestock, thus presenting a potentially better method to introgress complex human disease alleles into large animal models and provide genetic improvement of complex health and production traits in a single generation.

genetics↗

bioRxiv2018

NetSurfP-2.0: improved prediction of protein structural features by integrated deep learning

The ability to predict local structural features of a protein from the primary sequence is of paramount importance for unravelling its function in absence of experimental structural information. Two main factors affect the utility of potential prediction tools: their accuracy must enable extraction of reliable structural information on the proteins of interest, and their runtime must be low to keep pace with sequencing data being generated at a constantly increasing speed.\n\nHere, we present an updated and extended version of the NetSurfP tool (http://www.cbs.dtu.dk/services/NetSurfP-2.0/), that can predict the most important local structural features with unprecedented accuracy and runtime. NetSurfP-2.0 is sequence-based and uses an architecture composed of convolutional and long short-term memory neural networks trained on solved protein structures. Using a single integrated model, NetSurfP-2.0 predicts solvent accessibility, secondary structure, structural disorder, and backbone dihedral angles for each residue of the input sequences.\n\nWe assessed the accuracy of NetSurfP-2.0 on several independent test datasets and found it to consistently produce state-of-the-art predictions for each of its output features. We observe a correlation of 80% between predictions and experimental data for solvent accessibility, and a precision of 85% on secondary structure 3-class predictions. In addition to improved accuracy, the processing time has been optimized to allow predicting more than 1,000 proteins in less than 2 hours, and complete proteomes in less than 1 day.

bioinformatics↗

bioRxiv2018

Comparative Genomics and Genome Evolution in Birds-of-paradise

BackgroundThe diverse array of phenotypes and lekking behaviors in birds-of-paradise have long excited scientists and laymen alike. Remarkably, almost nothing is known about the genomics underlying this iconic radiation. Currently, there are 41 recognized species of birds-of-paradise, most of which live on the islands of New Guinea. In this study we sequenced genomes of representatives from all five major clades recognized within the birds-of-paradise family (Paradisaeidae). Our aim was to characterize genomic changes that may have been important for the evolution of the groups extensive phenotypic diversity.\n\nResultsWe sequenced three de novo genomes and re-sequenced two additional genomes representing all major clades within the birds-of-paradise. We found genes important for coloration, morphology and feather development to be under positive selection. GO enrichment of positively selected genes on the branch leading to the birds-of-paradise shows an enrichment for collagen, glycogen synthesis and regulation, eye development and other categories. In the core birds-of-paradise, we found GO categories for startle response (response to predators) and olfactory receptor activity to be enriched among the gene families expanding significantly faster compared to the other birds in our study. Furthermore, we found novel families of retrovirus-like retrotransposons active in all three de novo genomes since the early diversification of the birds-of-paradise group, which could have potentially played a role in the evolution of this fascinating group of birds.\n\nConclusionHere we provide a first glimpse into the genomic changes underlying the evolution of birds-of-paradise. Our aim was to use comparative genomics to study to what degree the genomic landscape of birds-of-paradise deviates from other closely related passerine birds. Given the extreme phenotypic diversity in this family, our prediction was that genomes should be able to reveal features important for the evolution of this amazing radiation. Overall, we found a strong signal for evolution on mechanisms important for coloration, morphology, sensory systems, as well as genome structure.

genomics↗