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Berney, C.

Publications and source records attributed to Berney, C..

14 recordsLinked to original sources

Uncharacterized unicellular relatives reveal key gaps in sampling diversity for reconstructing animal origins

The origin of multicellular animals from unicellular ancestors remains a major evolutionary question. To address this transition, a reconstruction of the nature of the last unicellular ancestor of animals (LUAA) is key, and requires broad sampling of extant unicellular relatives, which together with animals form the clade Holozoa. Environmental surveys suggest that unicellular Holozoa diversity extends beyond the five groups with characterized members (Choanoflagellatea, Ichthyosporea, Filasterea, Corallochytrea, and Atreyea). However, the extent of the environmental diversity within and outside these groups remains unclear. To fill this gap, we here systematically re-evaluated Holozoa diversity using environmental 18S rDNA sequences compiled from updated datasets, including long-read metabarcoding surveys. We report nine uncharacterized lineages inside Holozoa (seven newly identified here), provisionally placed outside the described groups. We also uncovered a previously unreported diverse lineage deeper inside Opisthokonta, separate from Holozoa and Fungi. In addition, we identified 21 uncharacterized lineages within Choanoflagellatea and Ichthyosporea (eleven newly reported here). We used short-read metabarcoding datasets to characterize the environmental and geographical distributions of these lineages. Many are globally distributed and some can reach relative abundances comparable to those of the described groups, while others are restricted to specific environments. Our findings reveal substantial uncharacterized diversity missing from the cultured taxa used in comparative studies of animal origins. By placing this diversity in a phylogenetic and environmental context, our study will guide the targeted isolation efforts needed to broaden the taxon sampling available to reconstruct LUAA and unravel the unicellular-to-multicellular transition that gave rise to animals.

evolutionary biology↗

OligoN-design: A simple and versatile tool to design specific probes and primers from large heterogeneous datasets

High-throughput environmental DNA sequencing has ushered ecological and evolutionary studies into the big data era. With thousands to millions of DNA sequences, designing taxon-specific oligonucleotides is a current bottleneck of molecular studies that rely on primers for Polymerase Chain Reactions (PCRs) or probes for Fluorescence in situ Hybridization (FISH). No software currently exists to design specific oligonucleotides starting from a custom set of sequences. Existing tools rely on specific databases, alignments or phylogenetic trees, or cannot accommodate increasingly large molecular environmental datasets. Here we present oligoN-design, a versatile tool to design oligonucleotides specific to a set of target sequences while minimizing predicted binding to non-target sequences. OligoN-design is simple, reproducible, and adaptable to high-throughput sequencing data analyses. It requires only two fasta files as input, one containing target taxa and the other containing non-target taxa. Using standard bioinformatic formats, it integrates easily with other tools such as BLAST, VSEARCH or MAFFT. OligoN-design allows a range of strategies that we present in detail, from an unsupervised end-to-end usage all the way to a detailed and thorough expert usage. Starting with large, comprehensive ribosomal databases that are widely used by the community (i.e., PR2, SILVA) and the unsupervised function, we were able to replicate known taxa-specific oligonucleotides in under 30 minutes and up to 6 Gb of RAM on a personal laptop. OligoN-design v1, available at github.com/MiguelMSandin/oligoN-design under GNU General Public License version 3.0, is easily installed via bioconda bioconda.github.io/recipes/oligon-design/README.html.

bioinformatics↗

Protists Exhibit Stronger and More Recent Oceanic Genetic Structure than Archaeplastida and Metazoa

The global distribution of biodiversity is shaped by a complex interplay of evolutionary history and ecological processes. While biogeographic patterns are well defined for animals and plants, the global distributions of protists remain unclear. A key question is whether protists follow the same broad biogeographic principles as macroscopic life. To address this, we compiled 88 marine COI metabarcoding studies performing population-genetic analyses across ocean basins. Our results reveal that most protist phyla exhibit pronounced genetic structure among oceans, a pattern exceeding that reported for Archaeplastida and Metazoa. This likely reflects recent, and potentially human-mediated, introductions, influencing protist dispersal and contemporary community assembly. By demonstrating that protist distributions are not historically cosmopolitan, our study supports the existence of common eukaryotic biogeographic patterns that transcend organismal size.

microbiology↗

Description of a new Telonemia genus and species with novel observations providing insights into its hidden diversity

Telonemia is a fascinating and understudied group of microbial eukaryotes known to have a vast diversity that is still uncharacterized. In fact, although they are thought to be the closest relatives of the eukaryotic supergroup SAR (Stramenopiles, Alveolata and Rhizaria), their diversity and biology are largely unexplored: to date, there are only seven described species in three genera, although there are estimated to be hundreds more unknown lineages. Here, we describe the isolation and characterization of two new strains, including a new genus (Hyaliora molinica gen. et sp. nov.) and a new species (Telonema blandense sp. nov.), and the re-isolation of a previously characterized telonemid, Telonema subtile, accompanied by new behavioral observations. We present morphological measurements highlighting differences among the isolates and a phylogenetic tree incorporating their 18S rRNA gene sequences. Furthermore, key aspects of their cell biology and structure are highlighted to provide insights into the evolution of TSAR. Since they are relevant not only phylogenetically, but also play a crucial role in food webs with some very abundant representatives in aquatic ecosystems, the findings of this study provide a further sampling and culturing of Telonemia to increase the knowledge of the hidden diversity and evolution of this mysterious group.

evolutionary biology↗

The evolution of gene functional repertoire in Amorphea: Divergent strategies across Amoebozoa, Fungi, and Metazoa.

Metazoa and Fungi have been extensively studied to reconstruct the trajectory of Opisthokont evolution. Their sister group, Amoebozoa, provides additional potential to generate valuable insights into the origins of Opisthokont lineages. Amoebozoa represent a diverse group of amoeboid organisms, which have adapted to a wide range of environments and ecological niches. Studying Amoebozoa not only helps to illuminate Opisthokont evolution but also reveals the mechanisms that have driven their ecological success. Here we report the discovery of Apostamoeba explorator strain BEAP0066, representing a novel lineage within Amoebozoa with intriguing behaviors like the "double-amoeba", a behavior characterized by the bipolarization of a cell into two poles that coexist and act as two semi-independent cells; and the "colonizing rings", the generation of a front of amoebae advancing together and grazing on bacterial mats. By analyzing the gene content of A. explorator and diverse amoebozoans with ancestral gene content reconstructions, correspondence analyses of Clusters of Orthologous Groups (COG) category composition and Pfam clan clustering, we revealed distinct evolutionary trajectories for Amoebozoa, Metazoa, and Fungi. Amoebozoa retained an ancestral Amorphea-like state, characterized by an enrichment of genes related to motility, phagocytosis, and environmental adaptability; while Metazoa specialized in multicellularity-related genes and Fungi in metabolism and transport. These findings suggest that retention of gene function composition, rather than gene loss, played a key role in shaping Amoebozoa evolution. SIGNIFICANCE STATEMENTAmoebae are cells with no defined shape that move by extending temporary cell membrane projections, usually composed of actin, called pseudopodia. Amoeboid cells are present in all major eukaryotic lineages, from the well-known Amoeba proteus in Amoebozoa to human macrophages in Metazoa, Salpingoeca rosetta in Choanoflagellatea, Vampyrella lateritia in Rhizaria, and other examples such as Naegleria fowleri in Heterolobosea. The prevalence of this lifestyle highlights the evolutionary success of the amoeboid form and its ability to adapt to diverse environmental conditions and ecological roles. The study of amoebae and amoeboid cell types is crucial for advancing research in medicine, ecology, and evolution. Understanding the phylogeny of Amoebozoa remains a key focus in phylogenomics, as deep divergences within the group complicate the taxonomic placement of certain taxa and have implications for character evolution. Thus, the discovery, identification, and characterization of new Amoebozoa species can help resolve current uncertainties. Recent studies have identified divergent trajectories in gene content composition within one lineage of Amorphea, the Opisthokonts. Fungi evolved through an expansion of metabolic genes, whereas Metazoa accumulated genes associated with multicellularity. Inspired by these findings, we analyzed the proteomes of Amoebozoa, Metazoa, and Fungi. Using correspondence analysis of the relative composition of Clusters of Orthologous Groups (COG), ancestral reconstruction and the analysis of Pfam domain clan presence in supergroup-specific gene clusters, we aimed to determine whether the three supergroups within Amorphea exhibit distinct clustering patterns. Our results provide evidence of divergent functional evolution in Amoebozoa, Fungi, and Metazoa. Amoebozoa retained an ancestral Amorphea-like state, characterized by an enrichment of genes related to motility, phagocytosis, and environmental adaptability; while Metazoa specialized in multicellularity-related genes and Fungi in metabolism and transport. These findings suggest that retention of gene function composition, rather than gene loss, played a key role in shaping Amoebozoa evolution.

evolutionary biology↗

O Short-branch Microsporidia, Where Art Thou? Identifying diversity hotspots for future sampling

Short-branch Microsporidia were previously shown to form a basal grade within the expanded Microsporidia clade and to branch near the classical, long-branch Microsporidia. Although they share simpler versions of some morphological characteristics, they do not show accelerated evolutionary rates, making them ideal candidates to study the evolutionary trajectories that has led to long-branch microsporidians unique characteristics. However, most sequences assigned to the short-branch Microsporidia are undescribed, novel environmental lineages for which the identification requires knowledge of where they can be found. To direct future isolation, we used the EukBank database of the global UniEuk initiative that contains the majority of the publicly available environmental V4 SSU-rRNA gene sequences of protists. The curated OTU table and corresponding metadata were used to evaluate the occurrence of short-branch Microsporidia across freshwater, hypersaline, marine benthic, marine pelagic, and terrestrial environments. Presence-absence analyses infer that short-branch Microsporidia are most abundant in freshwater and terrestrial environments, and alpha- and beta-diversity measures indicate that focusing our sampling effort on these two environments would cover a large part of their overall diversity. These results can be used to coordinate future isolation and sampling campaigns to better understand the mysterious evolution of microsporidians unique characteristics.

microbiology↗

On the relationship between protist metabarcoding and protist metagenome-assembled genomes

AO_SCPLOWBSTRACTC_SCPLOWThe two most commonly used approaches to study the composition of environmental protist communities are marker gene metabarcoding and whole genome analysis through metagenomics. Raw metabarcoding data are usually processed into Operational Taxonomic Units (OTUs) or amplicon sequence variants (ASVs) through clustering or denoising approaches, respectively. Analogous approaches have been developed to assemble metagenomic sequence reads into metagenome-assembled genomes (MAGs). Understanding the correspondence between the data produced by these two approaches can help to integrate information between the datasets and to explain how metabarcoding OTUs and MAGs are related with the underlying biological entities they are hypothesised to represent. Due to the nature of their construction, MAGs do not contain the most commonly used barcoding loci, meaning that sequence homology approaches cannot be used to match OTUs and MAGs. We made an attempt to match V9 metabarcoding OTUs from the 18S rRNA gene (V9 OTUs) and MAGs from the Tara Oceans expedition (2009-2013) based on the correspondence of their relative abundances across the same set of samples. We evaluated the performance of several methods for detecting correspondence between features in these two compositional datasets and developed a series of controls to filter artefacts of data structure and processing. After selecting the best-performing correspondence metrics, ranking the V9 OTU/MAG matches by their proportionality/correlation coefficients and applying a set of selection criteria, we identified candidate matches between V9 OTUs and MAGs. In a subset of cases, V9 OTUs and MAGs could be successfully matched with one another with a one-to-one correspondence, implying that they likely represent the same underlying biological entity. More generally, matches we observed could be classified into 4 scenarios: Scenario I - one V9 OTU matches more than one MAG; Scenario II - more than one V9 OTU matches more than one MAG; Scenario III - more than one V9 OTU matches one MAG; Scenario IV - one V9 OTU matches one MAG. These diverse scenarios for V9 OTU-MAG matches illustrate the complex nature of the OTU/MAG relationship. Notably, we found some instances in which different OTU-MAG matches from the same taxonomic group were not classified in the same scenario, with all four scenarios possible even within the same taxonomic group, illustrating that factors beyond taxonomic lineage influence the relationship between OTUs and MAGs. Overall, each scenario produces a different interpretation of V9 OTUs, MAGs and how they compare in terms of the genomic and ecological diversity that they represent.

bioinformatics↗

EukRibo: a manually curated eukaryotic 18S rDNA reference database to facilitate identification of new diversity

EukRibo is a manually curated, public reference database of small-subunit ribosomal RNA gene (18S rDNA) sequences of eukaryotes, specifically aimed at taxonomic annotation of high-throughput metabarcoding datasets. Unlike other reference databases of ribosomal genes, it is not meant to exhaustively capture all publicly available 18S rDNA sequences from the INSDC repositories, but to represent a subset of highly trustable sequences covering the whole known diversity of eukaryotes. EukRibo strives to include only sequences with verified, up-to-date taxonomic identifications, with a strong focus on protists, and relatively low genetic redundancy, to keep the database compact yet comprehensive. Environmental clone sequences representing previously identified novel diversity are accepted as reference sequences only if they have a precise lineage designation, useful for taxonomic annotation. EukRibo is part of a suite of public resources generated by the UniEuk project, which all follow a common taxonomic framework for maximal interoperability. The high level of taxonomic accuracy of EukRibo allows higher confidence in the taxonomic annotation of environmental metabarcodes, and should facilitate identification of new eukaryotic diversity at various taxonomic levels. The database is currently in version 2, and all versions are permanently stored and made available via the FAIR open platform Zenodo. It is our hope that EukRibo will help ongoing curation efforts of other 18S rDNA reference databases, and we welcome suggestions of corrections and new features to be included in subsequent versions.

bioinformatics↗

Global observation of plankton communities from space

Satellite remote sensing from space is a powerful way to monitor the global dynamics of marine plankton. Previous research has focused on developing models to predict the size or taxonomic groups of phytoplankton. Here we present an approach to identify representative communities from a global plankton network that included both zooplankton and phytoplankton and using global satellite observations to predict their biogeography. Six representative plankton communities were identified from a global co-occurrence network inferred using a novel rDNA 18S V4 planetary-scale eukaryotic metabarcoding dataset. Machine learning techniques were then applied to train a model that predicted these representative communities from satellite data. The model showed an overall 67% accuracy in the prediction of the representative communities. The prediction based on 17 satellite-derived parameters showed better performance than based only on temperature and/or the concentration of chlorophyll a. The trained model allowed to predict the global spatiotemporal distribution of communities over 19-years. Our model exhibited strong seasonal changes in the community compositions in the subarctic-subtropical boundary regions, which were consistent with previous field observations. This network-oriented approach can easily be extended to more comprehensive models including prokaryotes as well as viruses.

ecology↗

Unveiling hidden eukaryotes: diversity of Endomyxa (Rhizaria) in coastal marine habitats

Nucleic acid based studies of marine biodiversity often focus on Kingdom-level diversity. Such approaches often largely miss diversity of less studied groups, likely to harbour many unknown lineages which are likely playing significant ecological roles. Among these elusive groups are Endomyxa (Rhizaria), a ubiquitous, but understudied lineage comprising parasites (e.g. Ascetosporea, Phytomyxea), free-living amoebae (e.g. Vampyrellida, Gromia, Filoreta), flagellates (e.g. Tremula, Aquavolon), and unknown environmental lineages. Using Endomyxa-biased primers targeting the hypervariable region V4 of the 18S rRNA gene, we explored the diversity of Endomyxa in marine samples from European coastal sites and compared it to that found in pan-eukaryote V4 libraries of the same samples. In total 458 endomyxan OTUs were identified, of which 38% were only detected by the specific primers. Most are distinct from published sequences, and include novel diversity within known clades, and putative novel lineages. The data revealed variations in endomyxan assemblages related to habitat (benthic vs. pelagic, sampling site), mode of nutrition (parasitic vs. free-living) and nucleic acid type (DNA vs. RNA). Overall, the vast majority of endomyxan diversity occurs in sediments (including Vampyrellida, Reticulosida, and the environmental "Novel Clade 12") where they form diverse and active communities including many uncharacterised lineages.

microbiology↗

Insight into diatoms diversity at two European coastal sites (LTER-MC in the Mediterranean Sea and SOMLIT-Astan in the Western English Channel) using a DNA metabarcoding approach

Diatoms are among the most successful marine eukaryotic phytoplankton groups. Their diversity has been investigated in the worlds oceans through expeditions and observations carried out from the equator to the poles. Traditionally, diatom species have been distinguished based on morphological characters of their frustules, but high-throughput sequencing offers new, high-resolution data that can be used to re-examine spatial and/or temporal patterns of diversity. Here we investigated diatoms genetic diversity using metabarcoding (18S V4 rRNA gene) obtained along the years 2011 to 2013 at two coastal time series stations (SOMLIT-Astan and LTER-MareChiara) installed respectively off Roscoff in the Western English Channel and in the Gulf of Naples in the Mediterranean Sea. Diatom species pools detected were different, which fitted with previous observations and with our expectations, since these stations are installed in two contrasted pelagic habitats (permanently-mixed versus stratified in summer). However, this analysis also shows a pool of common ASVs among which some are persistent and dominant in both sites. The observed synchronous variations in relative read abundances of shared ASVs assigned to Chaetoceros socialis, C. tenuissimus, Cyclotella, Mediolabrus comicus and Leptocylindrus aporus at the two geographically distant sites could indicate that internal controls of growth rate and sexual reproduction, rather that external environmental parameters are at work.

ecology↗

EukProt: a database of genome-scale predicted proteins across the diversity of eukaryotic life

AO_SCPLOWBSTRACTC_SCPLOWEukProt is a database of published and publicly available predicted protein sets selected to represent the breadth of eukaryotic diversity, currently including 993 species from all major supergroups as well as orphan taxa. The goal of the database is to provide a single, convenient resource for gene-based research across the spectrum of eukaryotic life, such as phylogenomics and gene family evolution. Each species is placed within the UniEuk taxonomic framework in order to facilitate downstream analyses, and each data set is associated with a unique, persistent identifier to facilitate comparison and replication among analyses. The database is regularly updated, and all versions will be permanently stored and made available via FigShare. The current version has a number of updates, notably The Comparative Set (TCS), a reduced taxonomic set with high estimated completeness while maintaining a substantial phylogenetic breadth, which comprises 196 predicted proteomes. A BLAST web server and graphical displays of data set completeness are available at http://evocellbio.com/eukprot/. We invite the community to provide suggestions for new data sets and new annotation features to be included in subsequent versions, with the goal of building a collaborative resource that will promote research to understand eukaryotic diversity and diversification.

evolutionary biology↗

Genomic evidence for global ocean plankton biogeography shaped by large-scale current systems

Biogeographical studies have traditionally focused on readily visible organisms, but recent technological advances are enabling analyses of the large-scale distribution of microscopic organisms, whose biogeographical patterns have long been debated. Here we assessed the global structure of plankton geography and its relation to the biological, chemical and physical context of the ocean (the seascape) by analyzing metagenomes of plankton communities sampled across oceans during the Tara Oceans expedition, in light of environmental data and ocean current transport. Using a consistent approach across organismal sizes that provides unprecedented resolution to measure changes in genomic composition between communities, we report a pan-ocean, size-dependent plankton biogeography overlying regional heterogeneity. We found robust evidence for a basin-scale impact of transport by ocean currents on plankton biogeography, and on a characteristic timescale of community dynamics going beyond simple seasonality or life history transitions of plankton.

ecology↗

EukRef: phylogenetic curation of ribosomal RNA to enhance understanding of eukaryotic diversity and distribution

Environmental sequencing has greatly expanded our knowledge of micro-eukaryotic diversity and ecology by revealing previously unknown lineages and their distribution. However, the value of these data is critically dependent on the quality of the reference databases used to assign an identity to environmental sequences. Existing databases contain errors, and struggle to keep pace with rapidly changing eukaryotic taxonomy, the influx of novel diversity, and computational challenges related to assembling the high-quality alignments and trees needed for accurate characterization of lineage diversity. EukRef (eukref.org) is a community driven initiative that addresses these challenges by bringing together taxonomists with expertise spanning the complete eukaryotic tree of life and microbial ecologists that actively use environmental sequencing data for the purpose of developing reliable reference databases across the diversity of microbial eukaryotes. EukRef organizes and facilitates rigorous sequence data mining and annotation by providing protocols, guidelines and tools to do so.

microbiology↗