Biology subjects

Verbruggen, H.

Publications and source records attributed to Verbruggen, H..

At least 19 recordsLinked to original sources

bioRxiv2026

Stop guessing thinning distances: a data-driven framework for spatial thinning parametrization for ecological modelling

Spatially heterogeneous sampling and uneven publication effort in biodiversity repositories limit ecological niche characterization and habitat suitability modelling, affecting downstream inferences at regional and global scales. Spatial thinning offers a widely used strategy to mitigate these biases due to its simplicity and scalability. However, researchers typically select thinning parameters using heuristic or arbitrary criteria, often independent of species-specific characteristics, which introduces an additional, largely unquantified source of potential error. Here, we propose a data-driven framework for spatial thinning parameterization that replaces heuristic decision-making with principled, reproducible criteria. We define optimality as the stability of thermal niche estimates derived from empirical data, rather than as an agreement with a known true distribution. The framework integrates two complementary approaches. The Last Stable Thinning Parameterization (LS-TP) identifies the largest thinning intensity that preserves the stability of species-specific niche descriptors. Biogeographic-size Dependent Thinning Parameterization (BD-TP) links thinning intensity to species' geographic range size and scales spatial filtering across taxa with different distributional properties. Using seagrasses as a model system, we evaluated the framework across a global compilation of more than 100,000 occurrence records. Our results showed that optimal thinning parameters varied systematically with species range size and that uniform thinning approaches led to either excessive information loss or reduction of spatial clustering. Furthermore, the framework identified species for which available data did not support stable niche characterization, as these species failed to meet stability criteria even at the smallest thinning parameters. We recommend explicitly acknowledging this limitation in future studies and prioritizing increased sampling effort for such undersampled taxa. Our approaches provide a first step toward explicit, data-driven spatial thinning parameterization, with direct implications for ecological niche modelling, biodiversity assessment, and climate-driven distribution analyses.

ecology↗

bioRxiv2026

ChlORIS: Chloroplast Orthologs Resource & Identification Suite

Chloroplast or plastid genomes are essential resources for studying the evolution and diversity of algae and land plants. Although thousands of plastid genomes have been sequenced, their full potential has not been realised; derived resources such as orthogroup databases and reference datasets for metagenomic profiling remain underdeveloped. We present the ChlORIS database to address these problems across all algal phyla. From 2,254 publicly available algal plastid genomes, after dereplication we clustered 2,531 orthogroups from the annotated proteins and selected 496 orthogroups with consistent gene naming, enabling cross-genome comparisons of homologous plastid proteins. We further selected 224 core orthogroups, each containing more than 10 protein sequences, for which we produced score-calibrated hidden Markov models (HMMs), multiple sequence alignments and predicted protein structures. The value of these resources for phylogenomics is demonstrated through a large-scale plastid phylogeny of 859 taxa spanning all major algal lineages. We characterised the protein HMMs by cross-referencing them to Pfam domains and calibrated score cutoffs for reliable detection. The metagenomic database, HMM library, nucleotide and amino acid alignments, predicted structures and protein metadata, cross-linked to UniProt and InterPro (Pfam), are openly available on the ChlORIS website at https://chloris.codeberg.page/.

genomics↗

bioRxiv2026

Thriving to surviving: light wavelength modulates photoacclimation response in the siphonous green alga Derbesia

Algae require specific acclimation strategies to cope with spectral variability in shallow marine habitats. We investigated how the siphonous green alga Derbesia alters its photosynthetic and metabolic processes under white (WL), blue (BL), green (GL), red (RL), and far-red light (FL) by conducting photobiological and transcriptomic sampling over a 10-day period. Our results show two contrasting photoacclimation strategies: BL and GL promoted metabolic activity associated with growth, whereas FL and RL induced a low-light-like survival strategy characterized by reduced growth and suppression of the core metabolism. Photosynthetic acclimation across all conditions primarily occurs within the light dependent reactions. BL and GL promoted early acclimation marked by the immediate activation of light-harvesting complexes (LHCs) and a key transcriptional regulator MYB, and showed better acclimation marked by the sustained activation of ATPases, ATP transporters, and hormone-signaling components. BL induced a distinct transcriptional shift during the transition to prolonged exposure, including enhanced cyclic electron transport, and key regulators of protein synthesis, DNA replication, and transcriptional regulation. In contrast, FL, and to a lesser extent RL, triggered responses resembling low light acclimation with constrained growth, characterized by inefficient energy utilization, enlarged antenna systems, chloroplast proliferation with aggregations, and reduced growth rates. This study suggests high accumulation of core photopigments and reduction in chlorophyll a/b is an acclimatory response to FL, and consistently higher activation of core metabolic processes under WL likely indicates the evolutionary adaptation of Derbesia to shallow coastal environments where broad-spectrum light predominates. Additionally, our newly sequenced draft genome of the Derbesia strain for this study could serve as a genomic resource for future molecular photobiology research in Bryopsidales algae.

ecology↗

bioRxiv2026

Light-harvesting strategies and competition drive niche partitioning among Ostreobium lineages in the spectral architecture of the coral reef

Ostreobium, a siphonous green alga capable of living inside of calcium carbonate substrates, including the skeletons of reef-building corals. This study investigates spectral niche preferences and physiological strategies of Ostreobium using community-wide experiments. We exposed natural Ostreobium communities from Porites lutea collected across shallow, mid, and deeper-water sites to three light conditions: far-red, blue, and white light, simulating healthy shallow-water corals, deeper water conditions, and bleached coral skeletons respectively. Using 16S rRNA metabarcoding and chlorophyll analysis, we assessed community changes and physiological responses over 16 weeks. We show significant variation in spectral preferences among Ostreobium OTUs, with clear evidence for both generalist and specialist strategies. Chlorophyll analysis showed photoacclimation responses through changes in pigment compositions. Our work shows that the spectral architecture of the reef plays a role in structuring Ostreobium communities, but the many mismatches between spectral preferences of OTUs and their observed presence in nature, suggests that inter-species competition is likely to be an even stronger contributor to community structure across the reefs microhabitats. We show that physiological heterogeneity within Ostreobium is strongly phylogenetically structured, and our results clearly highlight the importance of considering OTU-level differences when predicting community responses to environmental disturbances such as coral bleaching. While generalist OTUs dominate natural communities, these do poorly in incubations, and we hypothesise that white light specialists may become key players during coral bleaching events. Our work is a substantial advance in our understanding of Ostreobium ecology and provides a framework for interpreting future environmental sequencing data, offering insights into the functional roles of the different OTUs.

ecology↗

bioRxiv2025

Extensive nuclear datasets resolve the phylogeny of siphonous green algae and identify genome duplications as a contributing factor to evolutionary adaptations

The Bryopsidales, a group of siphonous green algae, are of particular evolutionary interest due to their unusual cellular organization and striking morphological and ecological diversity. There are indications for genome duplication, but low taxon sampling has limited our insights of these processes and how they may contribute to these traits. The relationships among certain bryopsidalean lineages remain unresolved, even with plastid genome-scale datasets. Nuclear genomes offer promise for resolving phylogenetic uncertainties and pinpointing duplication events, but progress has been hindered by the limited availability of such datasets. Here, we present new nuclear genome data for 44 taxa sampled across the phylogenetic breadth of Bryopsidales, and conduct phylogenomic analyses of 708 nuclear genes with coalescent and concatenation approaches. Our results significantly advance the resolution of Bryopsidales relationships, including confident placement of previously hard-to-resolve lineages like Pseudobryopsis, Ostreobineae and the Halimedineae tribes. We identified many ancient gene duplications across the Bryopsidales tree, including potential whole genome duplications in the Ostreobiaceae and Caulerpaceae. Our work presents the most highly-resolved phylogeny of Bryopsidales to date and offers an extensive framework for the exploration of the potential roles of genome duplications that may have facilitated niche adaptations and invasive trait development.

evolutionary biology↗

bioRxiv2025

Metatranscriptomics sheds light on 'who is doing what' in the coral Porites lutea

Global decline of coral reefs due to climate change necessitates nature-based protection strategies for these crucial ecosystems. Developing such strategies requires a thorough understanding of the complex roles and interactions occurring within the coral holobiont. Using RNAseq, we investigated the active microbiome of healthy stony coral Porites lutea, focusing on the coral tissue, the green endolithic algal layer (Ostreobium layer), and the deeper coral skeleton. We identified distinct, metabolically active communities within these compartments and highlight substantial metabolic redundancy across carbon, nitrogen, and sulphur pathways. Our study provides first transcriptomic evidence of Ostreobiums ability to transfer fixed carbon to other holobiont members and the coral host. Additionally, we highlight critical roles of diverse coral holobiont members in nutrient cycling and maintaining homeostasis through scavenging of reactive oxygen and nitrogen species. This study provides novel molecular-level understanding of the functional roles played by diverse coral holobiont members in their respective compartments and underscores that corals harbour distinct microbiomes with wide-ranging functions.

microbiology↗

bioRxiv2024

Global picoplankton biogeography revealed by metagenomic and climatic data integration

Microbial plankton play fundamental roles in biogeochemical cycles, driving nutrient cycling that influences the global climate and supports life on Earth. Picoplankton are the smallest and most abundant planktonic organisms. The distribution and ecology of these organisms is determined by environmental factors and their biogeography is largely shaped by basin-scale patterns of physicochemical composition of ocean waters. The increased availability of high-throughput sequencing data of microbial communities has enabled the description of how the global oceans are partitioned into distinct microbial biogeographical provinces. However, the key attributes associated with such provinces are still unclear. Here we present a model of picoplankton biogeography based on 1454 metagenomes from multiple sampling consortia, resulting in the largest integrated surface ocean metagenome analysis to date. We identify ten distinct groups based on metagenomic dissimilarity, divided into three categories: polar (Arctic and Antarctic), temperate (coastal temperate, temperate/subtropical transition, oceanic temperate, Mediterranean-like) and tropical (tropical low nutrient, tropical high nutrient, subtropical oceanic gyres). Using machine learning and omics data integration techniques, we predict province areas across the surface oceans and describe their environmental, taxonomical, and functional features. We quantify the relationship between environmental factors and each biogeographical province, identify their main representative taxa and the importance of carbon degradation and antimicrobial resistance pathways in functional community composition, and discuss implications for establishing a model for global picoplankton biogeography.

ecology↗

bioRxiv2024

Multiple plastid losses within photosynthetic stramenopiles revealed by comprehensive phylogenomics

Ochrophyta is a vast and morphologically diverse group of algae with complex plastids, including familiar taxa with fundamental ecological importance (diatoms or kelp), and a wealth of lesser-known and obscure organisms. The sheer diversity of ochrophytes poses a challenge for reconstructing their phylogeny, with major gaps in sampling and an unsettled placement of particular taxa yet to be tackled. We sequenced transcriptomes from 25 strategically selected representatives and used these data to build the most taxonomically comprehensive ochrophyte-centered phylogenomic supermatrix to date. We employed a combination of approaches to reconstruct and critically evaluate the relationships among ochrophytes. While generally congruent with previous analyses, the updated ochrophyte phylogenomic tree resolved the position of several taxa with previously uncertain placement, and supported a redefinition of the class Synchromophyceae. Our results indicated that the heterotrophic plastid-lacking heliozoan Actinophrys sol is not a sister lineage of ochrophytes, as proposed recently, but rather phylogenetically nested among them. In addition, we found Picophagus flagellatus to be a secondarily heterotrophic ochrophyte lacking all hallmark plastid genes, yet exhibiting mitochondrial proteins that seem to be genetic footprints of lost plastid organelle. We thus document, for the first time, plastid loss in two separate ochrophyte lineages. Altogether, our study provides a new framework for reconstructing trait evolution in ochrophytes and demonstrates that plastid loss is more common than previously thought. Issue Section: Discoveries

evolutionary biology↗

bioRxiv2023

Comparative analysis of metabolic models of microbial communities reconstructed from automated tools and consensus approaches

Genome-scale metabolic models (GEMs) of microbial communities offer valuable insights into the functional capabilities of their members and facilitate the exploration of microbial interactions. These models are generated using different automated reconstruction tools, each relying on different biochemical databases that may affect the conclusions drawn from the in silico analysis. One way to address this problem is to employ a consensus reconstruction method that combines the outcomes of different reconstruction tools. Here, we conducted a comparative analysis of community models reconstructed from three automated tools, i.e. CarveMe, gapseq, and KBase, alongside a consensus approach, utilizing data from two marine bacterial communities. Our analysis revealed that these reconstruction approaches, while based on the same genomes, resulted in GEMs with varying numbers of genes and reactions as well as metabolic functionalities, attributed to the different databases employed. Further, our results indicated that the set of exchanged metabolites was more influenced by the reconstruction approach rather than the specific bacterial community investigated. This observation suggests a potential bias in predicting metabolite interactions using community GEMs. We also showed that consensus models encompassed a larger number of reactions and metabolites while concurrently reducing the presence of dead-end metabolites. Therefore, the usage of consensus models allows making full and unbiased use from aggregating genes from the different reconstructions in assessing the functional potential of metabolic communities. ImportanceOur study contributes significantly to the field of microbial community modeling through a comprehensive comparison of genome-scale metabolic models (GEMs) generated via various automated tools, including: CarveMe, gapseq, KBase, and a consensus approach. We revealed substantial structural disparities in model outcomes, primarily attributed to variations in the employed databases. A key finding underscored the substantial impact of the reconstruction approach on the set of exchanged metabolites, emphasizing the necessity for enhanced data integration strategies. The consensus models emerge as a powerful solution, exhibiting improved functional capabilities by encompassing a greater number of reactions, metabolites, and genes. This not only offers a more comprehensive representation of metabolic networks within bacterial communities but also shows promise in reducing variability for more accurate predictions of exchange metabolites. Overall, our research provides a critical framework for refining microbial community simulations, impacting fields from ecology to synthetic biology.

systems biology↗

bioRxiv2023

Metaphor - A workflow for streamlined assembly and binning of metagenomes

Recent advances in bioinformatics and high-throughput sequencing have enabled the large-scale recovery of genomes from metagenomes. This has the potential to bring important insights as researchers can bypass cultivation and analyse genomes sourced directly from environmental samples. There are, however, technical challenges associated with this process, most notably the complexity of computational workflows required to process metagenomic data, which include dozens of bioinformatics software tools, each with their own set of customisable parameters that affect the final output of the workflow. At the core of these workflows are the processes of assembly - combining the short input reads into longer, contiguous fragments (contigs), and binning - clustering these contigs into individual genome bins. Both processes can be done for each sample separately or by pooling together multiple samples to leverage information from a combination of samples. Here we present Metaphor, a fully-automated workflow for genome-resolved metagenomics (GRM). Metaphor differs from existing GRM workflows by offering flexible approaches for the assembly and binning of the input data, and by combining multiple binning algorithms with a bin refinement step to achieve high quality genome bins. Moreover, Metaphor generates reports to evaluate the performance of the workflow. We showcase the functionality of Metaphor on different synthetic datasets, and the impact of available assembly and binning strategies on the final results. The workflow is freely available at https://github.com/vinisalazar/metaphor. Author summaryWe present Metaphor, a user-friendly, automated workflow for the recovery of genomes from metagenomes. Our tool offers flexible options for assembling and binning metagenomic contigs, that may be adjusted according to the characteristics of the input data and available computational resources, and a combination of binning algorithms, which improves the quantity and quality of resulting genome bins. We showcase the performance of Metaphor on synthetic benchmarking datasets and discuss the implication of methodological decisions regarding the strategy for assembling and binning metagenomic contigs.

bioinformatics↗

bioRxiv2022

The bacterial microbiome of the coral skeleton algal symbiont Ostreobium shows preferential associations and signatures of phylosymbiosis

Ostreobium, the major algal symbiont of the coral skeleton, remains understudied despite extensive research on the coral holobiont. The enclosed nature of the coral skeleton might reduce the dispersal and exposure of residing bacteria to the outside environment, allowing stronger associations with the algae. Here, we describe the bacterial communities associated with cultured strains of 5 Ostreobium clades using 16S rRNA sequencing. We shed light on their likely physical associations by comparative analysis of three datasets generated to capture (1) all algae associated bacteria (2) enriched tightly attached and potential intracellular bacteria and (3) bacteria in spent media. Our data showed that while some bacteria may be loosely attached, some tend to be tightly attached or potentially intracellular. Although colonised with diverse bacteria, Ostreobium preferentially associated with 34 bacterial taxa revealing a core microbiome. These bacteria include taxa known as nitrogen cyclers, polysaccharide degraders, sulphate reducers, antimicrobial compound producers, methylotrophs and vitamin B12 producers. By analysing co-occurrence networks of 16S rRNA datasets from Porites lutea and Paragoniastrea australensis skeleton samples, we show that the Ostreobium-bacterial associations present in the cultures are likely to also occur in their natural environment. Finally, our data show significant congruence between the Ostreobium phylogeny and the community composition of its tightly associated microbiome, largely due to the phylosymbiotic signal originating from the core bacterial taxa. This study offers insight into the Ostreobium microbiome and reveals preferential associations that warrant further testing from functional and evolutionary perspectives.

microbiology↗

bioRxiv2022

Unravelling microalgal-bacterial interactions in aquatic ecosystems through 16S co-occurrence networks

Interactions between microalgae and bacteria can directly influence the global biogeochemical cycles but the majority of such interactions remain unknown. 16S rRNA gene-based co-occurrence networks have potential to help identify microalgal-bacterial interactions. Here, we used data from 10 Earth microbiome projects to identify potential microalgal-bacterial associations in aquatic ecosystems. A high degree of clustering was observed in microalgal-bacterial modules, indicating densely connected neighbourhoods. Proteobacteria and Bacteroidetes predominantly co-occurred with microalgae and represented hubs of most modules. Our results also indicated that species-specificity may be a global characteristic of microalgal associated microbiomes. Several previously known associations were recovered from our network modules, validating that biologically meaningful results can be inferred using this approach. A range of previously unknown associations were recognised such as co-occurrences of Bacillariophyta with uncultured Planctomycetes OM190 and Deltaproteobacteria order NB1-j. Planctomycetes and Verrucomicrobia were identified as key associates of microalgae due to their frequent co-occurrences with several microalgal taxa. Despite no clear taxonomic pattern, bacterial associates appeared functionally similar across different environments. To summarise, we demonstrated the potential of 16S rRNA gene-based co-occurrence networks as a hypothesis-generating framework to guide more focused research on microalgal-bacterial associations.

ecology↗

bioRxiv2021

Nuclear genome of a pedinophyte pinpoints genomic innovation and streamlining in the green algae

The genomic diversity underpinning high ecological and species diversity in the green algae (Chlorophyta) remains little known. Here, we aimed to track genome evolution in the Chlorophyta, focusing on loss and gain of homologous genes, and lineage-specific innovations of the Core Chlorophyta. We generated a high-quality nuclear genome for pedinophyte YPF701, a sister lineage to others in the Core Chlorophyta, and incorporated this genome in a comparative analysis with 25 other genomes from diverse Viridiplantae taxa. The nuclear genome of pedinophyte YPF701 has an intermediate size and gene number between those of most early-diverging prasinophytes and the remainder of the Core Chlorophyta. Our results suggest positive selection for genome streamlining in Pedinophyceae, independent from genome minimisation observed among prasinophyte lineages. Genome expansion was predicted along the branch leading to the UTC clade (classes Ulvophyceae, Trebouxiophyceae and Chlorophyceae) after divergence from their common ancestor with pedinophytes, with genomic novelty implicated in a range of basic biological functions. These results emphasise multiple independent signals of genome minimisation within the Chlorophyta, as well as the genomic novelty arising prior to diversification in the UTC clade, which may underpin the success of this species-rich clade in a diversity of habitats.

evolutionary biology↗

bioRxiv2021

Ten Ostreobium (Ulvophyceae) strains from Great Barrier Reef corals as a resource for algal endolith biology and genomics

Ostreobium is a genus of siphonous green algae that lives as an endolith in carbonate substrates under extremely limited light conditions and has recently been gaining attention due to its roles in reef carbonate budgets and its association with reef corals. Knowledge about this genus remains fairly limited due to the scarcity of strains available for physiological studies. Here, we report on 10 strains of Ostreobium isolated from coral skeletons from the Great Barrier Reef. Phenotypic diversity showed differences in the gross morphology and in few structures. Phylogenetic analyses of the tufA and rbcL put the strains in the context of the lineages identified previously through environmental sequencing. The chloroplast genomes of our strains are all around 80k bp in length and show that genome structure is highly conserved, with only a few insertions (some containing putative protein-coding genes) differing between the strains. The addition of these strains from the Great Barrier Reef to our toolkit will help develop Ostreobium as a model species for endolithic growth, low-light photosynthesis and coral-algal associations.

genetics↗

bioRxiv2021

Tightly constrained genome reduction and relaxation of purifying selection during secondary plastid endosymbiosis

Endosymbiosis, the establishment of a former free-living prokaryotic or eukaryotic cell as an organelle inside a host cell, can dramatically alter the genomic architecture of the endosymbiont. Plastids, the light harvesting organelles of photosynthetic eukaryotes, are excellent models to study this phenomenon because plastid origin has occurred multiple times in evolution. Here, we investigate the genomic signature of molecular processes acting through secondary plastid endosymbiosis - the origination of a new plastid from a free-living eukaryotic alga. We used phylogenetic comparative methods to study gene loss and changes in selective regimes on plastid genomes, focusing on the green lineage that has given rise to three independent lineages with secondary plastids (euglenophytes, chlorarachniophytes, Lepidodinium). Our results show an overall increase in gene loss associated with secondary endosymbiosis, but this loss is tightly constrained by retention of genes essential for plastid function. The data show that secondary plastids have experienced temporary relaxation of purifying selection during secondary endosymbiosis. However, this process is tightly constrained as well, with selection relaxed only relative to the background in primary plastids, but purifying selection remaining strong in absolute terms even during the endosymbiosis events. Selection intensity rebounds to pre-endosymbiosis levels following endosymbiosis events, demonstrating the changes in selection efficiency during different phases of secondary plastid origin. Independent endosymbiosis events in the euglenophytes, chlorarachniophytes, and Lepidodinium differ in their degree of relaxation of selection, highlighting the different evolutionary contexts of these events. This study reveals the selection-drift interplay during secondary endosymbiosis, and evolutionary parallels during the process of organelle origination.

evolutionary biology↗

bioRxiv2020

Genomic adaptations to an endolithic lifestyle in the coral-associated alga Ostreobium

The green alga Ostreobium is an important coral holobiont member, playing key roles in skeletal decalcification and providing photosynthate to bleached corals that have lost their dinoflagellate endosymbionts. Ostreobium lives in the corals skeleton, a low-light environment with variable pH and O{square} availability. We present the Ostreobium nuclear genome and a metatranscriptomic analysis of healthy and bleached corals to improve our understanding of Ostreobiums adaptations to its extreme environment and its roles as a coral holobiont member. The Ostreobium genome has 10,663 predicted protein-coding genes and shows adaptations for life in low and variable light conditions and other stressors in the endolithic environment. This alga presents a rich repertoire of light-harvesting complex proteins but lacks many genes for photoprotection and photoreceptors. It also has a large arsenal of genes for oxidative stress response. An expansion of extracellular peptidases suggests that Ostreobium may supplement its energy needs by feeding on the organic skeletal matrix, and a diverse set of fermentation pathways allow it to live in the anoxic skeleton at night. Ostreobium depends on other holobiont members for vitamin B12, and our metatranscriptomes identify potential bacterial sources. Metatranscriptomes showed Ostreobium becoming a dominant agent of photosynthesis in bleached corals and provided evidence for variable responses among coral samples and different Ostreobium genotypes. Our work provides a comprehensive understanding of the adaptations of Ostreobium to its extreme environment and an important genomic resource to improve our comprehension of coral holobiont resilience, bleaching and recovery.

genomics↗

bioRxiv2020

Meta-transcriptomic detection of diverse and divergent RNA viruses in green and chlorarachniophyte algae

Our knowledge of the diversity and evolution of the virosphere will likely increase dramatically with the study of microbial eukaryotes, including the microalgae in few RNA viruses have been documented to date. By combining meta-transcriptomic approaches with sequence and structural-based homology detection, followed by PCR confirmation, we identified 18 novel RNA viruses in two major groups of microbial algae - the chlorophytes and the chlorarachniophytes. Most of the RNA viruses identified in the green algae class Ulvophyceae were related to those from the families Tombusviridae and Amalgaviridae that have previously been associated with plants, suggesting that these viruses have an evolutionary history that extends to when their host groups shared a common ancestor. In contrast, seven ulvophyte associated viruses exhibited clear similarity with the mitoviruses that are most commonly found in fungi. This is compatible with horizontal virus transfer between algae and fungi, although mitoviruses have recently been documented in plants. We also document, for the first time, RNA viruses in the chlorarachniophytes, including the first observation of a negative-sense (bunya-like) RNA virus in microalgae. The other virus-like sequence detected in chlorarachniophytes is distantly related to those from the plant virus family Virgaviridae, suggesting that they may have been inherited from the secondary chloroplast endosymbiosis event that marked the origin of the chlorarachniophytes. More broadly, this work suggests that the scarcity of RNA viruses in algae most likely results from limited investigation rather than their absence. Greater effort is needed to characterize the RNA viromes of unicellular eukaryotes, including through structure-based methods that are able to detect distant homologies, and with the inclusion of a wider range of eukaryotic microorganisms. Author summaryRNA viruses are expected to infect all living organisms on Earth. Despite recent developments in and the deployment of large-scale sequencing technologies, our understanding of the RNA virosphere remains anthropocentric and largely restricted to human, livestock, cultivated plants and vectors for viral disease. However, a broader investigation of the diversity of RNA viruses, especially in protists, is expected to answer fundamental questions about their origin and long-term evolution. This study first investigates the RNA virus diversity in unicellular algae taxa from the phylogenetically distinct ulvophytes and chlorarachniophytes taxa. Despite very high levels of sequence divergence, we were able to identify 18 new RNA viruses, largely related to plant and fungi viruses, and likely illustrating a past history of horizontal transfer events that have occurred during RNA virus evolution. We also hypothesise that the sequence similarity between a chlorarachniophyte-associated virga-like virus and members of Virgaviridae associated with plants may represent inheritance from a secondary endosymbiosis event. A promising approach to detect the signals of distant virus homologies through the analysis of protein structures was also utilised, enabling us to identify potential highly divergent algal RNA viruses.

microbiology↗

bioRxiv2020

Population structure in Arctic marine forests is shaped by diverse recolonisation pathways and far northern glacial refugia

The Arctic is experiencing a rapid shift towards warmer regimes, calling for a need to understand levels of biodiversity and ecosystem responses to climate cycles. This study examines marine refugial locations during the Last Glacial Maximum in order to link recolonization pathways to patterns of genetic diversity in Arctic marine forests. We present genetic data for 109 species of seaweed to infer community-level patterns, and hindcast species distributions during the Last Glacial Maximum to further pinpoint likely refugial locations. Sequence data revealed contiguous populations extending from the Bering Sea to the Northwest Atlantic, with high levels of genetic diversity in the East Canadian Arctic. One fifth of the species sampled appeared restricted to Arctic waters. Hindcasted species distributions highlighted refugia in the Bering Sea, Northwest Atlantic, South Greenland, and Europe. We hypothesize that Arctic coastal systems were recolonized from many geographically disparate refugia leading to enriched diversity levels in the East Canadian Arctic, with important contributions stemming from northerly refugia likely centered along Southern Greenland. Moreover, we hypothesize these northerly refugia likely played a key role in promoting polar endemic diversity, as reflected by abundant unique population haplotypes and endemic species in the East Arctic. Significance StatementOur work challenges the existing paradigm that marine Arctic ecosystems are depauperate extensions of southerly (temperate) communities established in the wake of recent glaciation, fundamentally changing how these systems should be viewed and interpreted. We forward novel hypotheses regarding the recent history of Arctic marine systems, particularly with regards to endemism being an integral feature of Arctic biomes, and present a firm framework for future evolutionary research in this system typically viewed as "ecologically immature."

genetics↗