Biology subjects

Usadel, B.

Publications and source records attributed to Usadel, B..

At least 19 recordsLinked to original sources

bioRxiv2026

A composited genome approach to analyse cistrome diversity in barley

Motivation: Functional regulatory variants are important determinants of heritable diversity, yet their systematic identification requires both genome-wide maps of transcription factor (TF) occupancy and suitable genome sequences for mapping. While chromosome-scale assemblies remain costly for large association panels, short-read sequencing data are widely available. We investigated whether draft genomes reconstructed from short reads are sufficient for comparative MOA-seq analyses of TF occupancy. Results: We generated genome-wide TF footprint maps for the barley cultivars Bowman, Morex, and Golden Promise, identifying approximately 240,000 loci per genotype. Roughly half of all footprints occurred in intergenic regions. Footprints conserved between genotypes were depleted for sequence variation and located closer to genes. Meanwhile, genotype-specific footprints were enriched for SNP-containing and gene-distal regions, highlighting the extensive diversity of regulatory landscapes among barley cultivars. We further compared two short-read-based draft genome assembly strategies: i) a SNP-replacement and ii) a Practical Haplotype Graph (PHG)-based composite genome approach, to enable MOA-seq analyses without chromosome-scale genome assemblies. Compared to the SNP-replacement strategy, the composite genome displayed 2.3-fold higher local sequence concordance for SNPs/INDELs relative to the published reference. Both draft genomes accurately reproduced MOA-seq profiles, recovering approximately 80 % of reference peak bases with per-base coverage correlations of 0.79-0.90 relative to the assembled reference. While the composite genome performed best across the genome overall, the simpler SNP-replacement strategy more accurately recovered TF occupancy within regulatory peaks due to fewer structural alignment artefacts. Availability: Pipelines consist of existing open-source tools, Bash, GAWK and Java, and are available at [zenodo; tbd].

genomics↗

bioRxiv2026

Decoupled evolution of antimicrobial repertoires in lichen-forming fungi

Lichens are stable multipartite symbioses in which a fungal mycobiont associates with one or more photosynthetic partners while hosting complex microbiomes. Secreted antimicrobial proteins (AMPs) have recently emerged as important mediators of fungal interactions with surrounding microbial communities, yet their evolutionary distribution and diversity in lichen-forming fungi remain largely unexplored. Here, we predicted AMP repertoires across 80 phylogenetically diverse lichen-forming fungi representing three photobiont association types. Contrary to our expectation, average repertoire size did not differ between chlorolichens, cyanolichens and tripartite lichens (363 AMPs per species overall), even though repertoire size varied almost five-fold among species and 23 AMP families showed photobiont-associated enrichment or depletion. This quantitative conservation masks extensive compositional turnover, with families occurring in at least 90% of species coexisting alongside numerous lineage-specific groups. Pooled population sequencing of 11 Umbilicaria phaea populations along two elevational gradients further revealed recurrent AMP presence-absence variation within a single species. In contrast to AMPs, biosynthetic gene clusters (BGCs) and carbohydrate-active enzymes (CAZymes), which include known antimicrobials, were markedly reduced in cyanolichens relative to chlorolichens. Lichen-forming fungi thus combine a conserved baseline antimicrobial protein capacity, whose composition nonetheless turns over between lineages and populations, with chemical and enzymatic systems that differentiate along photobiont association and may support ecological and lifestyle-associated adaptation.

microbiology↗

bioRxiv2026

A Standardized Methodology for FAIRness Assessment and Multi-Dimensional Scoring in Agrosystem Research Data Infrastructures

The NFDI-consortium FAIRagro has established a systematic framework for evaluating the FAIRness of Research Data Infrastructures (RDI) within the German agrosystem research landscape. While FAIR principles are widely accepted, their practical implementation by RDIs remains challenging. By operationalizing the FAIR principles into a reproducible multi-dimensional scoring methodology, this initiative addresses the critical need for a transparent and citable benchmark of RDIs that moves beyond simple compliance. This paper details the underlying assessment criteria, comprising 20 aggregated core metrics, the iterative community-driven validation process, and the integration of these metrics into the FAIRagro Search Hub. This framework evaluates RDIs, like repositories or databases, instead of sampling hosted data sets, across the four distinct categories of FAIR independently, yielding granular, pillar-specific ratings. Unlike aggregate scoring models, which can inadvertently mask technical deficiencies by averaging performance across categories, this multi-dimensional approach ensures that a repositorys distinct strengths and bottlenecks remain fully visible. Our findings demonstrate that standardized scoring not only clarifies data accessibility for users but also highlights specific operational gaps, allowing repository providers to identify precisely where the service implementation can be enhanced. By establishing this data-driven service in the agronomy domain, we provide a scalable template for the broader NFDI and EOSC ecosystems to foster a culture of excellence in research data stewardship.

bioinformatics↗

bioRxiv2026

A chromosome-scale super-pangenome of the lichen genus Peltigera reveals genome architecture and expanded interaction repertoires shared across pathogenic and mutualistic fungi

Fungi engage in associations with other organisms across a continuum from pathogenic to mutualistic lifestyles. Hence, they require a compendium of molecular capacities, including partner recognition, extracellular signaling, nutrient exchange, immune modulation, and control of microbial competitors. In filamentous pathogens such traits are frequently associated with compartmentalized genomes, including rapidly evolving secreted proteins known as effectors and expanded receptor families, but it remains unclear whether similar genomic principles shape mutualistic fungal symbioses. Here, we generated a chromosome-scale super-pangenome for the lichen-forming genus Peltigera, comprising 41 mycobiont assemblies representing eleven species, together with genomes of associated Nostoc and, in tripartite species, Coccomyxa photobionts. The mycobiont genomes revealed extensive variation in genome size, transposable element content, biosynthetic gene clusters, and lineage-specific gene content, with pronounced expansions in tripartite species. Across Peltigera, secreted protein encoding genes were preferentially located in TE-rich regions. We further identified Starship-like transposon elements, expanded antimicrobial protein repertoires, and a large, previously underestimated repertoire of fungal GPCRs dominated by Pth11-like receptors. Layer-specific transcriptomics of a P. rufescens thallus showed differential expression of several interaction-associated gene families, e.g. lectins, antimicrobial proteins and Pth11-like GPCRs. These data indicate that pathogenic and mutualistic fungi might exhibit shared genomic principles, including genome compartmentalization, mobile-element-associated diversification, and the expansion of molecular repertoires involved in recognition, extracellular control and signaling.

genomics↗

bioRxiv2026

Elab2ARC: A Browser-Based Workspace for Converting Free-Text Protocols into rich FAIR digital objects

Electronic laboratory notebooks (ELNs) are widely used in the life sciences, but their notebook format limits machine-readability and FAIR compliance. Consequently, researchers often spend significant manual effort restructuring ELN records into publication-ready outputs. We present elab2ARC, a browser-based workspace that automates the conversion of open-source eLabFTW records into Annotated Research Contexts (ARCs)-- version-controlled, ISA-compliant research objects. Using the eLabFTW API, elab2ARC retrieves administrative metadata, protocols, and attachments, reorganising them into ISA-compliant tables and linked datasets. All processing occurs client-side, ensuring user data control before submission to the PLANTdataHUB repository. An optional LLM-assisted workflow extracts structured metadata from free-text protocols, providing editable drafts while preserving human oversight. Designed for use at project completion, elab2ARC reuses existing ELN documentation without disrupting daily laboratory practice. It offers a practical route to FAIR-aligned sharing, publication, and long-term archiving of life-science experimental records. Availability and implementationelab2ARC is freely accessible at https://nfdi4plants.org/elab2arc/. The source code is available at https://github.com/nfdi4plants/elab2arc under a GPL-3.0 license. Supplementary informationSupplementary data are available online.

bioinformatics↗

bioRxiv2026

High-resolution mapping and epistatic QTL of tomato fruit metabolism

Tomato wild relatives are valuable genetic resources for trait discovery and understanding the genetic basis of fruit metabolism and quality. Yet, only a fraction of naturally occurring variation has been exploited. Here, we performed metabolite profiling of two large Backcross Inbred Line populations derived from crosses between the wild species S. pennellii accession LA5240 (Lost) and cultivated genotypes LEA (determinate) and TOP (indeterminate), including [~]1400 and [~]500 lines, respectively. High-resolution mapping identified enormous metabolic quantitative trait loci (mQTL), including a new locus on chromosome 12 associated with fruit sucrose accumulation that harbours INVERTASE INHIBITOR 3 (SlINVINH3) protein. Comparative analysis indicated that SlINVINH3 is highly expressed in wild S. pennellii 0716 fruit, whereas a six-amino acid deletion is present in its coding sequence compared with S.pennellii LA5240 and S. lycopersicum. We further demonstrated that in SlINVINH3-overexpressing tomato plants, only the S. pennellii LA5240 allele led to increased sucrose, accompanied by reduced fructose and glucose levels. Furthermore, the large population size enabled us to assess the epistatic interactions, with approximately 40% of interactions being more-than-additive and 60% less-than-additive. Our results demonstrate the power of permanent exotic populations to reveal hidden metabolic diversity and provide an approach for improving fruit quality through targeted breeding and metabolic engineering.

plant biology↗

bioRxiv2026

DNA-intercalating antiphage molecules trigger abortive infection through mutual destruction and synergize with bacterial immunity

Bacteria deploy diverse antiphage defense systems, including small bioactive molecules providing protection at the multicellular level. DNA-intercalating anthracyclines, such as daunorubicin, exhibit broad antiphage activity, but the underlying mechanism has remained elusive. Here, we systematically screened the Escherichia coli BASEL phage collection to elucidate the mode of action of DNA-intercalating antiphage molecules. We identified taxonomically distinct clusters of susceptible viral groups and show that, in T5-like phages (Markadamsvirinae), daunorubicin blocks infection after first-step transfer (FST). In the presence of daunorubicin, continued expression of pre-early genes leads to abortive infection via mutual destruction, where both phage and host succumb. Analogous abortive-infection phenotypes occur across taxonomically diverse phages exposed to chemically distinct DNA-intercalating molecules. Notably, we show that daunorubicin synergizes with downstream nucleic acid-targeting defenses underscoring context-dependent outcomes. Together, these findings reveal how chemical defense contributes to the multilayered antiviral immunity and highlight the intricate interplay between mechanistic inhibition and infection outcome.

microbiology↗

bioRxiv2025

Chromosome-scale Solanum pennellii and Solanum cheesmaniae genome assemblies reveal structural variants, repeat content and recombination barriers of the tomato clade

Crop wild relatives are important resources for improving cultivated crops, yet the precise introgression of wild genetic material into cultivated crops is often difficult and cannot be fully defined without high-quality genome assemblies. Here we used PacBio HiFi, ONT ultra-long and Hi-C sequencing approaches to generate chromosome-scale de novo genome assemblies of two wild species related to the domesticated tomato (Solanum lycopersicum) -- the broadly stress-resistant Solanum pennellii (accession LA0716) and the salt-resistant Solanum cheesmaniae (accession LA1039). K-mer and BUSCO analysis of both assemblies demonstrated above 99% completeness and the improved S. pennellii genome adds 146 Mbp to the 12 chromosomes compared with the original reference. We aligned the new assemblies with seven gold-standard assemblies from the Lycopersicon clade, using Solanum tuberosum as an outgroup, and identified shared and species-specific structural variants. The repeat content of all nine assemblies was characterized, providing evidence for independent explosions of Tekay (gypsy superfamily) retrotransposons in S. pennellii and S. peruvianum. Whole genome sequencing of 709 recombinant plants derived from male and female backcrosses of three different hybrids (S.pennellii, S. cheesemaniae and Solanum lycopersicum cv. Micro-Tom crossed with Solanum lycopersicum cv. Moneyberg-TMV) revealed higher crossover rate in female meiosis. Recombination landscape analysis identified conserved female-enhanced recombination regions, and coldspots that were completely devoid of meiotic crossovers including megabase-scale inversions and insertion-deletion polymorphisms between S. lycopersicum and S. pennellii. In summary, we harnessed our high-quality S. pennellii and S. cheesmaniae genome assemblies to reveal how repeat content diverged in nature and during breeding, and uncovered how reproductive gender interacts with structural variants to dictate the recombination landscape in tomato hybrids.

plant biology↗

bioRxiv2025

A fungal root endophyte functionally complements host immunity and mitigates natural immune variation in Arabidopsis

Beneficial root-associated microbes can enhance plant resilience by complementing aspects of host immunity. The fungal root endophyte Serendipita indica (Si) is known to promote plant growth and confer broad stress tolerance. To assess how natural host genetic variation influences Si-mediated protection, we screened 47 Arabidopsis thaliana accessions for susceptibility to the fungal pathogen Bipolaris sorokiniana (Bs) with and without Si colonization. All accessions benefited from Si, indicating that endophyte-mediated disease mitigation occurs broadly across diverse host genotypes. A focused comparison of two genetically and geographically proximate Swedish accessions, T510 and T530, which displayed the most divergent protection scores, revealed substantial differences in Bs susceptibility. Transcriptome profiling under bi- and tripartite colonization showed conserved defense responses in both accessions. Bs infection downregulated growth- and development-related genes, consistent with a growth-immunity trade-off, with T530 exhibiting higher Bs colonization and a stronger transcriptional response than T510. Co-colonization with Si effectively suppressed pathogen growth and disease symptoms in both accessions. Comparative genomic and transcriptomic analyses identified four immune receptor genes, including the TIR-NLR ISI, present in T510 but absent in T530. An isi T-DNA insertion mutant phenocopied the heightened Bs susceptibility of T530, confirming that ISI contributes to root immunity, while Si-mediated protection remained intact despite increased pathogen susceptibility. Together, these findings demonstrate that fungal endophytes can mitigate the functional consequences of natural immune variation and enhance the resilience of genetically diverse plant populations. HighlightsO_LIS. indica confers broad protection against B. sorokiniana largely independent of host genotype or pathogen susceptibility. C_LIO_LIThe TIR-NLR immune receptor ISI contributes to root immunity but is not essential for S. indica-mediated protection. C_LIO_LIBeneficial endophytes can mitigate natural immune variation effects and support overall plant health. C_LI

ecology↗

bioRxiv2025

Imputation integrates single-cell and spatial gene expression data to resolve transcriptional networks in barley shoot meristem development

Grass inflorescences are composite structures, featuring complex sets of meristems as stem cell niches that are initiated in a repetitive manner. Meristems differ in identity and longevity, generate branches or split to form flower meristems that finally produce seeds. Within meristems, distinct cell types are determined by positional information and the regional activity of gene regulatory networks. Understanding these local microenvironments requires precise spatio-temporal information on gene expression profiles, which current technology cannot achieve. Here we investigate transcriptional changes during barley development, from the specification of meristem and organ founder cells to the initiation of distinct floral organs, based on an imputation approach integrating deep single-cell RNA sequencing with spatial gene expression data. The expression profiles of more than 40.000 genes can be analysed at cellular resolution in multiple barley tissues using the web-based graphical interface BARVISTA, which enables precise virtual microdissection to analyse any sub-ensemble of cells. Our study pinpoints previously inaccessible key transcriptional events in founder cells during primordia initiation and specification, characterises complex branching mutant phenotypes by barcoding gene expression profiles, and defines spatio-temporal trajectories during flower development. We thus uncover the genetic basis of complex developmental processes, providing novel opportunities for precisely targeted manipulation of barley traits.

plant biology↗

bioRxiv2025

PubPlant: a continuously updated online resource for sequenced and published plant genomes

Advances in next-generation sequencing technologies over the last decade have substantially reduced the cost and effort required to sequence plant genomes. Whereas early efforts focused primarily on economically important crops and model species, attention has now turned to a broader range of plants, including those with larger and more complex genomes. In 2024, the genomes of 500 plant species were published, including 370 sequenced for the first time. Tracking and providing access to published plant genomes (now covering more than 1800 species) is an invaluable service for plant researchers. PubPlant is an online resource that serves this purpose by cataloging published plant genome sequences and offering multiple visualizations (https://www.plabipd.de/pubplant_main.html). It includes a chronology of genome publications, and cladograms to display the phylogenetic relationships among the sequenced plants. An overview diagram for seed plants highlights taxonomic orders and families with sequenced species, and reveals those that have been overlooked thus far. As a use case for PubPlant, we evaluated the status of sequenced food crops. We found that the five plant families featuring the most food crops were those containing the most sequenced plant species.

plant biology↗

bioRxiv2025

Molecular mechanisms underlying the early steps of floral initiation in seasonal flowering genotypes of cultivated strawberry

Floral initiation is required for sexual reproduction in angiosperm plants, and has a significant impact on crop yields. In cultivated strawberry, the molecular basis of floral initiation is poorly understood and most studies have focused on a single genotype grown under controlled conditions. To gain more insight into this process, we conducted a study under natural conditions in two countries using two seasonal flowering cultivars. We focused on the early steps of floral initiation by using samples spanning key developmental stages of the shoot apical meristem. The analysis of differential gene expression in leaf and terminal bud tissues revealed enrichment for genes involved in carbohydrate metabolism and phytohormone pathways in leaves. Other protein classes that were enriched during early floral initiation were associated with cytoskeleton organization, cell cycle regulation, and chromatin structure. We also identified genes associated with the photoperiodic pathway, well-characterized floral integrators such as TFL1 and SOC1, and several linked to phytohormone regulation, such as XTH23, PP2 and EIN3.

plant biology↗

bioRxiv2025

Haplotype-resolved genome assembly of the tetraploid potato cultivar Desiree

Cultivar Desiree is an important model for potato functional genomics studies to assist breeding strategies. Here, we present a haplotype-resolved genome assembly of Desiree, achieved by assembling PacBio HiFi reads and Hi-C scaffolding, resulting in a high-contiguity chromosome-level assembly. We implemented a comprehensive annotation pipeline incorporating gene models and functional annotations from the Solanum tuberosum Phureja DM reference genome alongside RNA-seq reads to provide high-quality gene and transcript annotations. Additionally, we provide a genome-wide DNA methylation profile using Oxford Nanopore reads, enabling insights into potato epigenetics. The assembled genome, annotations, methylation and expression data are visualised in a publicly accessible genome browser (https://desiree.nib.si), providing a valuable resource for the potato research community.

plant biology↗

bioRxiv2023

DataPLAN: a web-based data management plan generator for the plant sciences

Research Data Management (RDM) is a system for the effective handling of research data that enables scientists to structure their research questions and ensure best practices throughout the data lifecycle, from acquisition, computation and annotation to data publication and re-use. Data management plans (DMPs) are documents that formally set out the RDM of a project and are required by many funding bodies. DMPs help to organize and structure RDM strategies, thus promoting data findability, accessibility, interoperability and reusability (FAIR). Although DMPs incorporate methods and standards that can be reused by different research projects, the standardization of DMP content is not as evident as the standardization of RDM practices and data/metadata. To address this issue in the plant sciences, we developed DataPLAN - a tool that combines a questionnaire with pre-written standardized responses. We wrapped the questionnaire in a serverless single-page web application that can then generate standardized responses from DMP templates. The current templates cater to plant research grant proposals for Horizon 2020, Horizon Europe and the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG). In the future the range of templates will be extended to accommodate other funding schemes, thereby enabling more users to generate their own templates. The DataPLAN web application is open-source and does not require an internet connection. By utilizing DataPLAN, the workload associated with creating, updating, and adhering to DMPs is significantly reduced.

plant biology↗

bioRxiv2023

Helixer--de novo Prediction of Primary Eukaryotic Gene Models Combining Deep Learning and a Hidden Markov Model.

AO_SCPLOWBSTRACTC_SCPLOWGene structural annotation is a critical step in obtaining biological knowledge from genome sequences yet remains a major challenge in genomics projects. Current de novo Hidden Markov Models are limited in their capacity to model biological complexity; while current pipelines are resource-intensive and their results vary in quality with the available extrinsic data. Here, we build on our previous work in applying Deep Learning to gene calling to make a fully applicable, fast and user friendly tool for predicting primary gene models from DNA sequence alone. The quality is state-of-the-art, with predictions scoring closer by most measures to the references than to predictions from other de novo tools. Helixers predictions can be used as is or could be integrated in pipelines to boost quality further. Moreover, there is substantial potential for further improvements and advancements in gene calling with Deep Learning. Helixer is open source and available at https://github.com/weberlab-hhu/Helixer A web interface is available at https://www.plabipd.de/helixer_main.html

bioinformatics↗

bioRxiv2022

Genomic, transcriptomic, and metabolomic analysis of Traditional Chinese Medicine plant Oldenlandia corymbosa reveals the biosynthesis and mode of action of anti-cancer metabolites

Natural products from traditional medicinal plants are valuable candidates for clinical cancer therapy. Plants from the Oldenlandia-Hedyotis complex are popular ingredients of Traditional Chinese Medicine (TCM), however a major hurdle in the plant bioprospecting process of TCM plants is that the active metabolites, their biosynthetic pathways, and mode of action are often unknown. We show that Oldenlandia corymbosa extracts are active against breast cancer cell lines. To study the genes involved in the biosynthesis of active compounds in this medicinal plant, we assembled a high-quality genome. We show that the main active compound is ursolic acid and that abiotic stresses cause changes in anti-cancer activity, metabolite composition, and gene expression of plants. To reveal the mode of action of ursolic acid, we show that cancer cells undergo mitotic catastrophe, and we identify three high-confidence protein binding targets by Cellular Thermal Shift Assay (CETSA) and reverse docking.

plant biology↗

bioRxiv2022

Haplotype-resolved assembly of a tetraploid potato genome using long reads and low-depth offspring data

Potato is one of the worlds major staple crops and like many important crop plants it has a polyploid genome. Polyploid haplotype assembly poses a major computational challenge, hindering the use of genomic data in breeding strategies. Here, we introduce a novel strategy for the assembly of polyploid genomes and present an assembly of the autotetraploid potato cultivar Altus. Our method uses low-depth sequencing data from an offspring population, which is available in many plant breeding settings, to achieve chromosomal clustering and haplotype phasing directly on the assembly graph. This involves a novel strategy for the analysis of k-mers unique to specific graph nodes. Our approach generates assemblies of individual chromosomes with phased haplotig N50 values of up to 13 Mb and haplotig lengths of up to 31 Mb. This major advance provides high-quality assemblies with haplotype-specific sequence resolution of whole chromosome arms and can be applied in common breeding scenarios where collections of offspring are available.

genomics↗

bioRxiv2021

A gap-free tomato genome built from complementary PacBio and Nanopore long DNA sequences reveals extensive linkage drag during breeding

The assembly and scaffolding of plant crop genomes facilitates the characterization of genetically diverse cultivated and wild germplasm. The cultivated tomato has been improved through the introgression of genetic material from related wild species, including resistance to pandemic strains of Tobacco Mosaic virus (TMV) from Solanum peruvianum. Here we applied PacBio HiFi and ONT nanopore sequencing to develop independent, highly contiguous and complementary assemblies of an inbred TMV-resistant tomato variety. We merged the HiFi and ONT assemblies to generate a long-read-only assembly where all twelve chromosomes were represented as twelve contiguous sequences (N50=68.5 Mbp). The merged assembly was validated by chromosome conformation capture data and is highly consistent with previous tomato assemblies that made use of genetic maps and HiC for scaffolding. Our long-read-only assembly reveals that a complex series of structural variants linked to the TMV resistance gene likely contributed to linkage drag of a 64.1 Mbp region of the S. peruvianum genome during tomato breeding. We show that this minimal introgression region is present in six cultivated tomato hybrid varieties developed in three commercial breeding programs. Our results suggest that complementary long read technologies can facilitate the rapid generation of near complete genome sequences.

plant biology↗