Achieving completeness of multipartite bacterial genomes has been a difficult task, especially in rhizobia. In this study, we performed a deep bioinformatic analysis of the newly re-sequenced genome of Rhizobium favelukesii LPU83T. This strain was isolated from acid soils in Argentina and is capable of nodulating several leguminous plants, although it is unable to fix nitrogen efficiently in any of them. Oxford Nanopore sequencing allowed us to completely assemble the symbiotic plasmid of the strain, pRfaLPU83b, and we discovered that it harbors three intact prophages and a high density of insertion sequences (ISs). These characteristics show why it is often so difficult to complete the symbiotic plasmids of rhizobial strains and the importance of having long-read sequencing methods. Upon detailed analysis of this replicon, we identified a complete conjugation system with gene structure consistent with quorum sensing-associated systems that may have contributed to the genetic mosaic structure of the strain. Furthermore, we identified in the symbiotic plasmid of R. favelukesii LPU83T a large proportion of the symbiotic genes previously identified as essential for Biological Nitrogen Fixation (BNF) in symbiosis with alfalfa, with a high percentage of identity with respect to those of Sinorhizobium meliloti 2011. Among the determinants related to BNF, we found genes encoding the HrrP and SapA peptidases in the LPU83 genome, previously described and related to the degradation of nodule-specific cysteine-rich peptides. These peptides are essential for bacteroid differentiation and, therefore, efficient BNF. Our results show that despite having these genes, they are not directly responsible for the inefficient BNF phenotype of LPU83.

State of the art life science training features steep learning curves due to dense technical specifications and complex data formats, often causing cognitive overload and low learner retention. While gamification can enhance engagement, implementing it without trivializing scientific content remains challenging. As part of the Biohackathon Germany 2025, we explored strategies to adapt gamification for bioinformatics education. We curated a resource matrix evaluating 20 digital tools based on cost, implementation effort, and pedagogical impact. To guide instructors, we formulated the "Ten Simple Rules for Gamification in Bioinformatics and Life Sciences Education," emphasizing a shift from superficial point systems to deep, competency-driven mechanics rooted in authentic data and high-stakes narratives. We validated this framework through two pilot implementations: translating an introductory R programming course into interactive console tutorials using swirl accelerated by Large Language Models (LLMs), and deploying browser-based Research Data Management (RDM) quizzes via Wordwall to reinforce FAIR principles. Our findings reveal that while specialized tools fit specific niches easily, broader open-source frameworks offer greater flexibility, with implementation workloads significantly mitigated by generative AI workflows. Ultimately, gamification serves as a powerful pedagogical asset when balanced correctly, transforming abstract computational workflows into engaging, collaborative simulations that bridge virtual training and professional scientific competency.

Plasmid conjugative transfer (CT) is a major mechanism of horizontal gene transfer in bacteria, facilitating genome evolution and dissemination of adaptive traits. Due to the energetic cost of CT, its regulation becomes an important process to ensure energetic balance within cells. In Rhizobium favelukesii, the plasmid pLPU83a belongs to group I-C of rhizobial plasmids, which require the transcriptional regulator TraR for CT. In well-characterized systems, TraR typically activates conjugative genes in response to quorum-sensing (QS) signals such as acyl-homoserine lactones. However, pLPU83a does not respond to these signals, raising questions about how TraR is regulated in this system. This study addresses the function of RcgA and RcgR, two proteins encoded upstream of traR on pLPU83a, whose function has previously been associated with CT modulation. Through proteomic, transcriptomic, and microscopy approaches, we show that RcgR acts as a repressor of CT, inhibiting traR expression and, therefore, the transcription of genes involved in CT, thereby reducing plasmid transfer rate. In contrast, RcgA is essential for CT but does not affect the expression of CT genes; it is localized at the membrane and may play a structural role in the mating pair formation system. Functional assays revealed that the repression facilitated by RcgR is independent of the anti-activator TraM and that TraR is essential for transfer even in the absence of RcgR. These findings locate RcgA and RcgR as key elements of a new circuit that modulates rhizobial plasmid conjugation and propose a novel mechanism of TraR control in systems uncoupled from QS signaling.IMPORTANCEPlasmid transfer is a central mechanism of gene exchange in bacteria, enabling the spread of traits with ecological and evolutionary relevance. Rhizobium favelukesii is a soil bacterium that carries multiple plasmids, including pLPU83a, which serves as a model to study conjugative transfer. This plasmid requires the transcriptional regulator TraR for transfer but-unlike classical systems-lacks the cognate gene that encodes the AHL synthase typically involved in quorum-sensing regulation. In previous work, two novel proteins encoded on pLPU83a, RcgA and RcgR, were identified as key elements in this regulatory system. Here, we further characterized their roles: RcgR represses the transcription of traR and, consequently, that of all conjugative genes, while RcgA is essential for transfer and localizes to the membrane, suggesting a structural function. These results provide mechanistic insight into how plasmid transfer is regulated in systems uncoupled from quorum sensing, highlighting alternative layers of control in bacterial conjugation.

The rapid evolution of bioinformatics and data-driven life sciences necessitates widespread, effective training solutions capable of transcending geographical and institutional boundaries. ELIXIR, as a pan-European bioinformatics research infrastructure, has strategically embraced e-learning methodologies to meet this challenge. This white paper systematically reviews the current landscape of e-learning initiatives across various ELIXIR Nodes and Communities, detailing both historical developments and contemporary practices. It identifies core attributes and desirable features of effective e-learning, presenting an analysis of diverse educational platforms and the deployment of Learning Management Systems (LMS) within ELIXIR’s framework. Emphasis is placed on the interactive, open-access, and sustainable nature of these resources, exemplified by platforms such as the Training e-Support System (TeSS) and the ELIXIR-SI eLearning Platform (EeLP). The paper highlights critical advancements toward standardization and interoperability through initiatives such as the adoption of SCORM protocols, facilitating resource reuse across Nodes. Additionally, the integration of e-learning into broader educational strategies—such as hybrid learning environments and structured learning paths—is examined. Finally, future directions are discussed, including strategies for integrating e-learning with traditional training methods, enhancing trainer expertise, and further expanding the availability and FAIRification of bioinformatics training resources.

BACKGROUND:Prototheca (Chlorophyta: Trebouxiophyceae) is a genus of non-photosynthetic microalgae that causes increasingly frequent infections in both humans and animals, collectively referred to as protothecosis The genetic landscape of the Prototheca algae has remained largely uncharted until recent advances in sequencing and genomics. In this study, a combination of Illumina and Oxford Nanopore technologies was employed for sequencing of 18 mitochondrial genomes, representing all currently recognized Prototheca species. RESULTS:The genomes differed in terms of size and GC content, ranging from 38 kbp to 68 kbp and from 25 to 30%, respectively. The gene content and gene order within the mitochondrial DNA exhibited specific characteristics. The gene content was conserved but showed variable number of hypothetical proteins and a clustering tendency for nad genes. Noteworthy, most genes were located on the clockwise strand, with type I introns, containing long open reading frames encoding homing endonucleases, suggesting a mechanism for intron mobility and genome plasticity. Comparative genomic analyses and phylogenetic classification across the 21 core genes showed a close relationship between the mitochondrial genomes, as evidenced by average nucleotide identity (ANI) and average amino acid identity (AAI), supportive for the current cytb gene-based taxonomy. The phylogenetic tree constructed from concatenated alignments of the core genes confirmed the presence of three distinct Prototheca clades, indicating the polyphyletic nature of the genus. CONCLUSIONS:In conclusion, this work provides another important step toward elucidating the genetics of Prototheca algae, serving as a framework for future studies on the phylogeny and evolution of these peculiar microorganisms.

The rapid evolution of bioinformatics and data-driven life sciences necessitates widespread, effective training solutions capable of transcending geographical and institutional boundaries. ELIXIR, as a pan-European bioinformatics research infrastructure, has strategically embraced e-learning methodologies to meet this challenge. This white paper systematically reviews the current landscape of e-learning initiatives across various ELIXIR Nodes and Communities, detailing both historical developments and contemporary practices. It identifies core attributes and desirable features of effective e-learning, presenting an analysis of diverse educational platforms and the deployment of Learning Management Systems (LMS) within ELIXIR's framework. Emphasis is placed on the interactive, open-access, and sustainable nature of these resources, exemplified by platforms such as the Training e-Support System (TeSS) and the ELIXIR-SI eLearning Platform (EeLP). The paper highlights critical advancements toward standardization and interoperability through initiatives such as the adoption of SCORM protocols, facilitating resource reuse across Nodes. Additionally, the integration of e-learning into broader educational strategies-such as hybrid learning environments and structured learning paths-is examined. Finally, future directions are discussed, including strategies for integrating e-learning with traditional training methods, enhancing trainer expertise, and further expanding the availability and FAIRification of bioinformatics training resources.

Frankia cluster-2 strains are diazotrophs that engage in root nodule symbiosis with actinorhizal plants of the Cucurbitales and the Rosales. Previous studies have shown that an assimilated nitrogen source, presumably arginine, is exported to the host in nodules of Datisca glomerata (Cucurbitales), while a different metabolite is exported in the nodules of Ceanothus thyrsiflorus (Rosales). To investigate if an assimilated nitrogen form is commonly exported to the host by cluster-2 strains, and which metabolite would be exported in Ceanothus, we analysed gene expression levels, metabolite profiles, and enzyme activities in nodules. We conclude that the export of assimilated nitrogen in symbiosis seems to be a common feature for Frankia cluster-2 strains, but the source of nitrogen is host dependent. The export of assimilated ammonium to the host suggests that 2-oxoglutarate is drawn from the tricarboxylic acid (TCA) cycle at a high rate. This specialized metabolism obviates the need for the reductive branch of the TCA cycle. We found that several genes encoding enzymes of central carbon and nitrogen metabolism were lacking in Frankia cluster-2 genomes: the glyoxylate shunt and succinate semialdehyde dehydrogenase. This led to a linearization of the TCA cycle, and we hypothesized that this could explain the low saprotrophic potential of Frankia cluster-2.

Abstract Objectives The ascomycotic yeast-like fungus Aureobasidium exhibits the natural ability to synthesize several secondary metabolites, like polymalic acid, pullulan, or polyol lipids, with potential biotechnological applications. Combined with its polyextremotolerance, these properties make Aureobasidium a promising production host candidate. Hence, plenty of genomes of Aureobasidia have been sequenced recently. Here, we provide the annotated draft genome sequence of the polyol lipid-producing strain A. pullulans NRRL 62042. Data description The genome of A. pullulans NRRL 62042 was sequenced using Illumina NovaSeq 6000. Genome assembly revealed a genome size of 24.2 Mb divided into 39 scaffolds with a GC content of 50.1%. Genome annotation using Genemark v4.68 and GenDBE yielded 9,596 genes.

By investigating wet and dry age-related ripening of beef, Pseudomonas strains V3/3/4/13T and V3/K/3/5T were isolated. Strain V3/3/4/13T exhibited more than 99 % 16S rRNA gene-based similarity to Pseudomonas fragi and other members of this group, while isolate V3/K/3/5T was very close to Pseudomonas veronii and a number of relatives within the Pseudomonas fluorescens group. Additional comparisons of complete rpoB sequences and draft genomes allowed us to place isolate V3/3/4/13T close to Pseudomonas deceptionensis DSM 26521T. In the case of V3/K/3/5T the closest relative was P. veronii DSM 11331T. Average nucleotide identity (ANIb) and digital DNA–DNA hybridization (dDDH) values calculated from the draft genomes of V3/3/4/13T and P. deceptionensis DSM 26521T were 88.5 and 39.8 %, respectively. For V3/K/3/5T and its closest relative P. veronii DSM 11331T, the ANIb value was 95.1 % and the dDDH value was 60.7 %. The DNA G+C contents of V3/3/4/13T and V3/K/3/5T were 57.4 and 60.8 mol%, respectively. Predominant fatty acids were C16 : 0, C18 : 1 ω7c, C17 : 0 cyclo and summed feature C16 : 1 ω7ct/C15 : 0 iso 2OH. The main respiratory quinones were Q9, with minor proportions of Q8 and, in the case of V3/K/3/5T, additional Q10. The main polar lipids were diphosphatidylglycerol, phosphatidylglycerol, phosphatidylethanolamine and, in the case of V3/K/3/5T, additional phosphatidylcholine. Based on the combined data, isolates V3/3/4/13T and V3/K/3/5T should be considered as representatives of two novel Pseudomonas species. The type strain of the newly proposed Pseudomonas kulmbachensis sp. nov. is V3/3/4/13T (=DSM 113654T=LMG 32520T), a second strain belonging to the same species is FLM 004-28 (=DSM 113604=LMG 32521); the type strain for the newly proposed Pseudomonas paraveronii sp. nov. is V3/K/3/5T (=DSM 113573T=LMG 32518T) with a second isolate FLM 11 (=DSM 113572=LMG 32519).

Coriariaceae are a small plant family of 14-17 species and subspecies that currently have a global but disjunct distribution. All species can form root nodules in symbiosis with diazotrophic Frankia cluster-2 strains, which form the earliest divergent symbiotic clade within this bacterial genus. Studies on Frankia cluster-2 mostly have focused on strains occurring in the northern hemisphere. Except for one strain from Papua New Guinea, namely Candidatus Frankia meridionalis Cppng1, no complete genome of Frankia associated with Coriaria occurring in the southern hemisphere has been published thus far, yet the majority of the Coriariaceae species occur here. We present field sampling data of novel Frankia cluster-2 strains, representing two novel species, which are associated with Coriaria arborea and Coriaria sarmentosa in New Zealand, and with Coriaria ruscifolia in Patagonia (Argentina), in addition to identifying Ca. F. meridionalis present in New Zealand. The novel Frankia species were found to be closely related to both Ca. F. meridionalis, and a Frankia species occurring in the Philippines, Taiwan, and Japan. Our data suggest that the different Frankia cluster-2 species diverged early after becoming symbiotic circa 100 million years ago.

Over recent years, the German ELIXIR node has developed an extensive and diverse training programme for the services offered. Between 2015 and 2024, de.NBI and ELIXIR-DE have organised almost 500 training courses, benefiting over 10,000 participants. In the course of implementing a sustainability process for the German Node, coinciding with the renewal of our ELIXIR Cooperation Agreement in December 2023, the de.NBI consortium has been restructured. After two years of reorganisation, the consortium is now fully operational. With the re-launch of de.NBI and ELIXIR Germany, there is an ongoing phase of redevelopment for the de.NBI / ELIXIR-DE training activities. The de.NBI / ELIXIR-DE training platform is shifting its focus more towards teaching, strategic aspects of training, fostering training collaborations within Germany (e.g. with different NFDIs) and Europe (e.g. with ELIXIR Austria & ELIXIR Luxembourg), developing new training courses and forming communities of trainers. In addition, the de.NBI / ELIXIR-DE training platform is increasingly involved in the organisation of training highlight events, e.g. de.NBI Spring / Summer Schools and BioHackathon Germany. Following the restructuring, the de.NBI / ELIXIR-DE training platform will be well equipped to address the forthcoming challenges of bioinformatics training in Germany and Europe in the coming years.

Cnidarians thriving in biofouling communities on aquaculture net pens represent a significant health risk for farmed finfish due to their stinging cells. The toxins coming into contact with the fish, during net cleaning, can adversely affect their behavior, welfare, and survival, with a particularly serious health risk for the gills, causing direct tissue damage such as formation of thrombi and increasing risks of secondary infections. The hydroid Ectopleura larynx is one of the most common fouling organisms in Northern Europe. However, despite its significant economic, environmental, and operational impact on finfish aquaculture, biological information on this species is scarce and its venom composition has never been investigated. In this study, we generated a whole transcriptome of E. larynx, and identified its putative expressed venom toxin proteins (predicted toxin proteins, not functionally characterized) based on in silico transcriptome annotation mining and protein sequence analysis. The results uncovered a broad and diverse repertoire of putative toxin proteins for this hydroid species. Its toxic arsenal appears to include a wide and complex selection of toxin proteins, covering a large panel of potential biological functions that play important roles in envenomation. The putative toxins identified in this species, such as neurotoxins, GTPase toxins, metalloprotease toxins, ion channel impairing toxins, hemorrhagic toxins, serine protease toxins, phospholipase toxins, pore-forming toxins, and multifunction toxins may cause various major deleterious effects in prey, predators, and competitors. These results provide valuable new insights into the venom composition of cnidarians, and venomous marine organisms in general, and offer new opportunities for further research into novel and valuable bioactive molecules for medicine, agronomics and biotechnology.

Research data management (RDM) is central to the implementation of the FAIR (Findable Accessible, Interoperable, Reusable) and Open Science principles. Recognising the importance of RDM, ELIXIR Platforms and Nodes have invested in RDM and launched various projects and initiatives to ensure good data management practices for scientific excellence. These projects have resulted in a rich set of tools and resources highly valuable for FAIR data management. However, these resources remain scattered across projects and ELIXIR structures, making their dissemination and application challenging. Therefore, it becomes imminent to coordinate these efforts for sustainable and harmonised RDM practices with dedicated forums for RDM professionals to exchange knowledge and share resources. The proposed ELIXIR RDM Community will bring together RDM experts to develop ELIXIR’s vision and coordinate its activities, taking advantage of the available assets. It aims to coordinate RDM best practices and illustrate how to use the existing ELIXIR RDM services. The Community will be built around three integral pillars, namely, a network of RDM professionals, RDM knowledge management and RDM training expertise and resources. It will also engage with external stakeholders to leverage benefits and provide a forum to RDM professionals for regular knowledge exchange, capacity building and development of harmonised RDM practices, keeping in line with the overall scope of the RDM Community. In the short term, the Community aims to build upon the existing resources and ensure that the content of these remain up to date and fit for purpose. In the long run, the Community will aim to strengthen the skills and knowledge of its RDM professionals to support the emerging needs of the scientific community. The Community will also devise an effective strategy to engage with other ELIXIR structures and international stakeholders to influence and align with developments and solutions in the RDM field.

ABSTRACTPlant‐derived triterpenoids are in high demand due to their valuable applications in cosmetic, nutraceutical, and pharmaceutical industries. To meet this demand, microbial production of triterpenoids is being developed for large‐scale production. However, a prominent limitation of microbial synthesis is the intracellular accumulation, requiring cell disruption during downstream processing. Destroying the whole‐cell catalyst drives up production costs and limits productivity and product yield per cell. Here, in situ product extraction of triterpenoids into a second organic phase was researched to address this limitation. An organic solvent screening identified water‐immiscible isopropyl myristate as a suitable in situ extractant, enabling extraction of up to 90% of total triterpenoids from engineered Saccharomyces cerevisiae. Combining isopropyl myristate and β‐cyclodextrins improved extraction efficiency. In a first configuration, repeated batch fermentation with sequential product extraction and cell recycling resulted in 1.8 times higher production than a reference fermentation without in situ product extraction. In the second configuration, yeast cells were in contact with the second organic phase throughout a fed‐batch fermentation to continuously extract triterpenoids. This resulted in 90% product extraction and an extended production phase. Further improvement of triterpenoid production was not achieved due to microbial host limitations uncovered through omics analyses.

Background Industrial by-products accrue in most agricultural or food-related production processes, but additional value chains have already been established for many of them. Crude glycerol has a 60% lower market value than commercial glucose, as large quantities are produced in the biodiesel industry, but its valorisation is still underutilized. Due to its high carbon content and the natural ability of many microorganisms to metabolise it, microbial upcycling is a suitable option for this waste product. Results In this work, the use of crude glycerol for the production of the value-added compound itaconate is demonstrated using the smut fungus Ustilago maydis . Starting with a highly engineered strain, itaconate production from an industrial glycerol waste stream was quickly established on a small scale, and the resulting yields were already competitive with processes using commercial sugars. Adaptive laboratory evolution resulted in an evolved strain with a 72% increased growth rate on glycerol. In the subsequent development and optimisation of a fed-batch process on a 1.5-2 L scale, the use of molasses, a side stream of sugar beet processing, eliminated the need for other expensive media components such as nitrogen or vitamins for biomass growth. The optimised process was scaled up to 150 L, achieving an overall titre of 72 g L − 1 , a yield of 0.34 g g − 1 , and a productivity of 0.54 g L − 1 h − 1 . Conclusions Pilot-scale itaconate production from the complementary waste streams molasses and glycerol has been successfully established. In addition to achieving competitive performance indicators, the proposed dual feedstock strategy offers lower process costs and carbon footprint for the production of bio-based itaconate.

Uptake hydrogenase (Hup) recycles H2 formed by nitrogenase during nitrogen fixation, thereby preserving energy. Among root nodule bacteria, most rhizobial strains examined are Hup-, while only one Hup- Frankia inoculum had been identified. Previous analyses had led to the identification of two different [NiFe] hydrogenase syntons. We analysed the distribution of different types of [NiFe] hydrogenase in the genomes of different Frankia species. Our results show that Frankia strains can contain four different [NiFe] hydrogenase syntons representing groups 1f, 1h, 2a, and 3b according to S & oslash;ndergaard, Pedersen, and Greening (HydDB: a web tool for hydrogenase classification and analysis. Sci Rep 2016;6:34212. https://doi.org/10.1038/srep34212.); no more than three types were found in any individual genome. The phylogeny of the structural proteins of groups 1f, 1h, and 2a follows Frankia phylogeny; the phylogeny of the accessory proteins does not consistently. An analysis of different [NiFe] hydrogenase types in Actinomycetia shows that under the most parsimonious assumption, all four types were present in the ancestral Frankia strain. Based on Hup activities analysed and the losses of syntons in different lineages of genome reduction, we can conclude that groups 1f and 2a are involved in recycling H2 formed by nitrogenase while group 1 h and group 3b are not. Different types of [NiFe] hydrogenases in the genus Frankia and their roles in nitrogen fixation deduced from losses in lineages of genome erosion.

Nanoscale zero valent iron (nZVI) is used to remediate aquifers polluted by organochlorines or heavy metals and was also suggested to eliminate harmful algal blooms. nZVI can therefore affect microorganisms in the vicinity of the application area, including microalgae. However, studies on early transcriptomic effects of microalgae after exposure to nZVI are rare. Here, we described the early physiological and transcriptomic response of the freshwater ecological indicator green microalga, Raphidocelis subcapitata ATCC 22662, to 100 mg/L of reactive nZVI and non-reactive nano-magnetite (nFe3O4). The combined effect of shading and the release of total iron from nZVI posed a short-term inhibition effect leading to 15 % of deformed cells and cytosol leakage, while cells viability increased after 24 h. nZVI triggered a more pronounced transcriptomic response with (7380 differentially expressed genes [DEGs]) compared to nFe3O4 (4601 DEGs) after 1 h. nZVI, but not nFe3O4 increased the expression of genes function in DNA repair and replication, while deactivated carbohydrate-energy metabolisms, mitochondria signaling, and transmembrane ion transport. This study highlights an early fate assessment of algal cells under nZVI and nFe3O4 exposure using next-generation risk assessment methods and will serve as valuable information for safe and sustainable application of nZVI in water remediation.

Research data management (RDM) is central to the implementation of the FAIR (Findable Accessible, Interoperable, Reusable) and Open Science principles. Recognising the importance of RDM, ELIXIR Platforms and Nodes have invested in RDM and launched various projects and initiatives to ensure good data management practices for scientific excellence. These projects have resulted in a rich set of tools and resources highly valuable for FAIR data management. However, these resources remain scattered across projects and ELIXIR structures, making their dissemination and application challenging. Therefore, it becomes imminent to coordinate these efforts for sustainable and harmonised RDM practices with dedicated forums for RDM professionals to exchange knowledge and share resources. The proposed ELIXIR RDM Community will bring together RDM experts to develop ELIXIR’s vision and coordinate its activities, taking advantage of the available assets. It aims to coordinate RDM best practices and illustrate how to use the existing ELIXIR RDM services. The Community will be built around three integral pillars, namely, a network of RDM professionals, RDM knowledge management and RDM training expertise and resources. It will also engage with external stakeholders to leverage benefits and provide a forum to RDM professionals for regular knowledge exchange, capacity building and development of harmonised RDM practices, keeping in line with the overall scope of the RDM Community. In the short term, the Community aims to build upon the existing resources and ensure that the content of these remain up to date and fit for purpose. In the long run, the Community will aim to strengthen the skills and knowledge of its RDM professionals to support the emerging needs of the scientific community. The Community will also devise an effective strategy to engage with other ELIXIR structures and international stakeholders to influence and align with developments and solutions in the RDM field.

A comprehensive understanding of microbial community dynamics is fundamental to the advancement of environmental microbiology, human health, and biotechnology. Metaproteomics, defined as the analysis of all proteins present within a microbial community, provides insights into these complex systems. Microbial adaptation and activity depend to an important extent on newly synthesized proteins (nP), however, the distinction between nP and bulk proteins is challenging. The application of BONCAT with click chemistry has demonstrated efficacy in the enrichment of nP in pure cultures for proteomics. However, the transfer of this technique to microbial communities and metaproteomics has proven challenging and thus it has not not been used on microbial communities before. To address this, a new workflow with efficient and specific nP enrichment was developed using a laboratory-scale mixture of labelled Escherichia coli and unlabeled yeast. This workflow was then successfully applied to an anaerobic microbial community with initially low bioorthogonal non-canonical amino acid tagging efficiency. A substrate shift from glucose to ethanol selectively enriched nP with minimal background. The identification of bifunctional alcohol dehydrogenase and a syntrophic interaction between an ethanol-utilizing bacterium and two methanogens (hydrogenotrophic and acetoclastic) demonstrates the potential of metaproteomics targeting nP to trace microbial activity in complex microbial communities.

Tritrichomonas foetus is a parasitic protist responsible for bovine trichomonosis, a reproductive disease associated with significant economic burden to the livestock industry throughout the world. Here, we present a chromosome-level reference genome of T. foetus -KV-1 (ATCC 30924) using short-read (Illumina Miseq), long-read (Oxford Nanopore) and chromatin-linked (Hi-C) sequencing. This is the first chromosome-level genome of a parasitic protist of the order Tritrichomonadida and the second within the Parabasalia lineage, after Trichomonas vaginalis, the human-associated causative agent of the sexually transmitted infection in humans. Our constructed genome is 148 Mb in size, with a N50 length of the scaffolds of 22.9 Mb. The contigs are anchored in five super-scaffolds, corresponding to the expected five chromosomes of the species and covering 78% of the genome assembly. We predict 41,341 protein-coding genes, of which 95.10% have been functionally annotated. This high-quality genome assembly serves as a valuable reference genome for T. foetus to support future studies in functional genomics, genetic conservation and taxonomy.