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Biology subjects

Mock, T.

Publications and source records attributed to Mock, T..

18 recordsLinked to original sources

Diatoms maintain metabolic activity in deep ocean twilight zones

Phytoplankton are primarily confined to the sunlit epipelagic zone, yet intact algal cells persist in the oceans mesopelagic twilight zone where light is minimal. However, their survival strategies in the deeper ocean remain unknown. Here, we isolate Chaetoceros sp. DS1 from 1000 m depth and reveal its survival mechanisms under prolonged darkness and high pressure, including membrane lipid remodeling and enhanced antioxidant defenses. Importantly, DS1 maintains a latent photosynthetic reserve that activates upon exposure to dim blue light and higher pressure typical of the twilight zone, enabling photosynthesis and nutrient uptake. It exhibits metabolic flexibility by utilizing stored carbon in darkness and assimilating organic carbon under dim light. Global meta-omics data show widespread, transcriptionally active Chaetoceros-like diatoms in the twilight zone, expressing blue-light sensors and protein synthesis genes. These findings identify the ocean twilight zone as a previously overlooked niche for metabolically active phytoplankton, expanding understanding of deep-ocean microbial ecology and carbon cycling.

ecology↗

The genomic basis of evolutionary stasis in the 500-million-year-old red seaweed genus Ahnfeltia

The red seaweed genus Ahnfeltia is an ancient lineage that has persisted for over 500 million years with remarkably limited diversification despite a global distribution in cold-temperate intertidal habitats. Compared to the highly diverse sister lineage, Rhodymeniophycidae, Ahnfeltia provides a unique system for investigating long-term evolutionary persistence in marine macroalgae. Here, we generated chromosome-scale genomes from five populations across three species and combined population genomics with paleogeographic niche modelling. Our results reveal remarkable genomic conservation, strong geographic isolation with limited gene flow, high homozygosity, and evidence of purifying selection. Niche projections indicate long-term stability and spatial connectivity of suitable cold-temperate habitats. These findings suggest that Ahnfeltias persistence and limited diversification are linked to genomic constraints and stable ecological niches over geological timescales. This study provides new insights into the genomic basis of evolutionary stasis in ancient marine lineages and highlights potential vulnerability to ongoing climate change affecting cold-water coastal ecosystems.

evolutionary biology↗

The genetic repertoire of the deep sea: from sequence to structure and function

The deep sea as the largest and maybe most hostile environment on Earth is still underexplored especially regarding its genetic repertoire. Yet, previous work has revealed significant habitat-specific deep-sea biodiversity. Here, we present an integrated deep-sea genetic dataset comprising 502 million nonredundant genes from 2,138 samples and 2.4 million predicted structures, and used it to link specific protein structures with genetic variants associated with life in the deep sea and to assess their biotechnology potential. Combining global sequence analysis with biophysical and biochemical measurements revealed unprecedented sequence diversity, yet substantial structural conservation of proteins. Especially proteins involved in replication, recombination, and repair were identified to be under rapid evolution and with specialized properties. Among these, a structurally divergent helicase exhibited advantages in controlling nanopore sequencing speed. Thus, our work positions the deep sea as a unique evolutionary engine that generates and hosts genetic diversity and bridges genetic knowledge with biotechnology.

bioinformatics↗

Multimodal AI Decodes Extreme Environment Functional Dark Matter Beyond Homology

Functional annotation of proteins from extreme environments represents a major bottleneck for bioresource discovery, as a vast reservoir of functional dark matter defies existing homology-based methods. We demonstrate that environmental pressures impart conserved physicochemical energy signatures that co-determine protein function with sequence and structure. Here we developed ACCESS, a multimodal graph neural network employing hierarchical contrastive learning with a tailored label-sample co-embedding to fuse energy, sequence, and structural information and overcome homology scarcity. ACCESS surpasses state-of-the-art methods including BLASTp and CLEAN in annotating low-identity enzymes. Applied to extreme environmental metagenomics, we constructed a function map of extremophile enzymes to expand the biocatalyst library, pinpointed functionally critical residues to guide rational design, and enabled large-scale, function-based macro-evolutionary analyses. This paradigm transcends the limitations of homology, illuminating protein dark matter and accelerating the exploration of the biospheres functional diversity for applications in biotechnology and therapeutic development.

bioinformatics↗

From microbial diversity to function; evaluating dimensionality reduction methods

Artificial Intelligence (AI), and more specifically Machine Learning (ML), have become an increasingly prevalent tool in microbial oceanography. The high dimensionality of microbial diversity data from omics observations is highly suitable for ML analysis, with many recent studies showcasing their utility for exploratory ecological feature finding and process prediction. Here, we apply three well-documented dimensionality reduction methods including Principal Coordinate Analysis (PCoA), Self Organizing Maps (SOM), and Weighted Gene Correlation Network Analysis (WGCNA), to near daily 16S rRNA gene amplicon sequencing data from the 2019-2020 MOSAiC International Arctic Drift Expedition. We compare the k-means clustering outputs from these methods to extract functionally distinct seasonal microbial ecotypes in the surface Arctic Ocean. Our results indicate the SOM method outperforms a more traditional PCoA ordination, identifying a greater number of metabolically distinct functional groups. We then investigate the importance of including biological context in dimensionality reduction by comparing functional outputs to a taxa clustering approach using a k-means adapted WGCNA correlation network. Regardless of data input, all 3 methods identified 3-4 recurrent ecotypes with distinct taxonomic and functional cut-offs driven by seasonality, water mass, and substrate turnover. Ultimately, these results reinforce such methodologies as a meaningful translator in the mining of historical amplicon datasets to address modern mechanistic questions and incorporate greater ecotype diversity into mechanistic biogeochemical models. ImportanceConnecting microbial community structure to ecosystem function is an important step in accurately modeling climate-relevant biogeochemical processes yet remains a major challenge in microbial oceanography. This manuscript demonstrates how emerging machine learning approaches can establish this connection by uncovering recurrent ecological patterns in Arctic Ocean microbial communities. Using near-daily 16S rRNA gene and supplementary metagenome data from the MOSAiC drift expedition, we identified distinct "ecotypes," or groups of microbes that perform differentiable functional roles within the ecosystem. Importantly, our methods reveal new connections between microbial identity and function that traditional analyses may overlook. It is possible such techniques could be applied to historical amplicon datasets, allowing scientists to revisit and reinterpret existing data to better understand how polar ecosystems are responding to environmental change and to improve future predictive climate models.

ecology↗

Genome-resolved expansion of Nucleocytoviricota and Mirusviricota reveals new diversity, functional potential, and biotechnological applications

Nucleocytoplasmic large DNA viruses (NCLDV) of the phyla Nucleocytoviricota and viruses of the newly proposed Duplodnaviria phylum, Mirusviricota, exhibit taxonomic richness which continues to expand due to metagenomic sequencing of Earths biomes. Giant viruses contain complex genomes encoding genes of both viral and cellular origin, representing a reservoir of unexplored biological functions with potential implications for ecology, evolution, and biotechnology. Here, we present the largest curated database of giant virus metagenome-assembled genomes (GVMAGs V2), comprising 8,508 species-level clusters inferred from 18,727 genomes, originating from marine, freshwater, anthropogenic and terrestrial environments, a six-fold increase from the previous giant virus phylogenetic frameworks. Phylogenomics and relative evolutionary distance analysis revealed 712 novel genera, 13 previously unknown viral families and a new proposed order, tentatively named Mycodnavirales. We improved gene calling of 12% of giant virus genomes by accounting for alternative and custom genetic codes, enabling more accurate identification of protein-coding genes. Database mining uncovered endogenous viral elements in a broad spectrum of eukaryotes, spanning algae, fungi, and parasitic protists highlighting that giant virus integration is both widespread and evolutionarily persistent. Orthologous clustering of 2.5 million proteins identified 135,998 orthogroups representing comprehensive metabolic capabilities, such as enrichment of genes involved in aromatic compound degradation (commonly associated with bioremediation) in Algavirales genomes. Furthermore, we detected widespread biosynthetic gene clusters underpinning antimicrobial activity and antibiotic resistance, suggesting roles of giant viruses in host defense and in the dissemination of antibiotic resistance genes. Conversely, 67% of orthogroups have unknown functions, underscoring a substantial unexplored potential. This comprehensive publicly available database provides a critical resource for the giant virus research community and a foundation for uncovering virus-host interactions, exploring viral evolution, and identifying reservoirs for novel enzymes with the potential to advance biotechnological applications.

microbiology↗

Characterizing organisms from three domains of life with universal primers from throughout the global ocean

We introduce the Global rRNA Universal Metabarcoding Plankton database (GRUMP), which consists of 1194 samples that were collected from 2003-2020 and cover extensive latitudinal and longitudinal transects, as well as depth profiles in all major ocean basins. DNA from unfractionated (> 0.2{micro}m) seawater samples was amplified using the 515Y/926R universal three- domain rRNA gene primers, simultaneously quantifying the relative abundance of amplicon sequencing variants (ASVs) from bacteria, archaea, eukaryotic nuclear 18S, and eukaryotic plastid 16S. Thus, the ratio between taxa in one sample is directly comparable to the ratio in any other GRUMP sample, regardless of gene copy number differences. This obviates a problem in prior global studies that used size-fractionation and different rRNA gene primers for bacteria, archaea, and eukaryotes, precluding comparisons across size fractions or domains. On average, bacteria contributed 71%, eukaryotes 19%, and archaea 8% to rRNA gene abundance, though eukaryotes contributed 32% at latitudes > 40{degrees}. GRUMP is publicly available on the Simons Collaborative Marine Atlas Project (CMAP), promoting the global comparison of marine microbial dynamics.

ecology↗

A CRISPR-Cas9 assisted analysis of single-cell microbiomes for identifying rare bacterial taxa in phycospheres of diatoms

Primary production in aquatic systems is governed by interactions between microalgae and their associated bacteria. Most of our knowledge about algal microbiomes stems from natural mixed communities or isolated algal monocultures, which therefore does neither address the role of genotypic diversity among the algal host cells nor do they reveal how this host diversity impacts the assembly process of associated bacteria. To overcome this knowledge gap, we developed a single-cell 16S sequencing approach in combination with CRISPR-Cas9 guided depletion of host 16S contaminations from the chloroplast. The validity of this novel method was tested by comparing bacterial communities of 144 single-cells across three genotypes of the Arctic marine diatom Thalassiosira gravida grown under different environmental conditions. From these, 62 single-cells were additionally sequenced after CRISPR-Cas9 treatment. Due to the improved sequencing depth, bacterial richness associated with individual diatom cells was increased by up to 56%. By applying this CRISPR-Cas9 treatment we not only revealed intraspecific host-genotype associations but also rare bacterial taxa that were not detected by standard 16S rRNA gene metabarcoding. Thus, the CRISPR-Cas9 assisted single-cell approach developed in this study advances our understanding on how the intraspecific diversity among algal hosts impacts the assembly process of their associated bacteria. This knowledge is essential to understand the co-evolution and adaptation of species in algal microbiomes.

microbiology↗

Community-wide interactions sustain life in geothermal spring habitats

We investigated an alga-dominated geothermal spring community in Yellowstone National Park, USA. Our goal was to determine how cells cope with abiotic stressors during diurnal sampling that spanned over two orders of magnitude in solar irradiance. We report a community level response to toxic metal resistance and energy cycling that spans the three domains of life. Arsenic detoxification is accomplished via complementary gene expression by different lineages. Photosynthesis is dominated by Cyanidioschyzon, with the mixotroph, Galdieria, relegated to nighttime heterotrophy. Many key functions, including the cell cycle, are strongly regulated by diurnal light fluctuations. These results demonstrate that biotic interactions are highly structured in extreme habitats. We suggest this was also the case on the early Earth when geothermal springs were cradles of microbial life, prior to the origin of eukaryotes.

evolutionary biology↗

Disentangling the genomic complexity of the Fragilariopsis cylindrus (CCMP1102) genome

Fragilariopsis cylindrus CCMP1102 is characterised by a complex genome with significant levels of heterozygosity between haplotypes, > 35% repeats, and an unknown karyotype. This complexity hindered prior assemblies, which show coverage discrepancies indicative of incompleteness. Here, we use a k-mer spectra analysis to reveal the coverage signature for a third haplotype. We applied a novel haplotype-specific assembly method to reconstruct the F. cylindrus CCMP1102 genome, producing 10 fully assembled chromosomes capped by telomeres, and a putative chromosome with a single breakpoint. Our analysis shows triploidy, two cases of aneuploidy, and several truncations. We also present evidence that F. cylindrus reproduces sexually. Taken together, our analytical approach is capable of haplotype-resolved assemblies from structurally complex, poly-ploid genomes, making it suitable for complex genomes of non-model organisms, including those with unknown karyotype.

genomics↗

Cold-induced cyt elevations function to support osmoregulation in marine diatoms

Diatoms are a group of microalgae that are important primary producers in a range of open ocean, freshwater and intertidal environments. The latter can experience significant long- and short-term variability in temperature, from seasonal variations to rapid temperature shifts caused by tidal immersion and emersion. As temperature is a major determinant in the distribution of diatom species, their temperature sensory and response mechanisms likely have important roles in their ecological success. We have examined the mechanisms diatoms use to sense rapid changes in temperature, such as those experienced in the intertidal zone. We find that the diatoms Phaeodactylum tricornutum and Thalassiosira pseudonana exhibit a transient cytosolic Ca2+ ([Ca2+]cyt) elevation in response to rapid cooling, similar to those observed in plant and animal cells. However, [Ca2+]cyt elevations were not observed in response to rapid warming. The kinetics and magnitude of cold-induced [Ca2+]cyt elevations correlate with the rate of temperature decrease. We do not find a role for the [Ca2+]cyt elevations in enhancing cold tolerance, but show that cold shock induces a Ca2+-dependent K+ efflux and reduces mortality of P. tricornutum during a simultaneous hypo-osmotic shock. As inter-tidal diatom species may routinely encounter simultaneous cold and hypo-osmotic shocks during tidal cycles, we propose that cold-induced Ca2+ signalling interacts with osmotic signalling pathways to aid in the regulation of cell volume. Our findings provide insight into the nature of temperature perception in diatoms and highlight that cross-talk between signalling pathways may play an important role in their cellular responses to multiple simultaneous stressors.

plant biology↗

A cellular and molecular atlas reveals the basis of chytrid development.

The chytrids (phylum Chytridiomycota) are a major early-diverging fungal lineage of ecological and evolutionary importance. Despite their importance, many fundamental aspects of chytrid developmental and cell biology remain poorly understood. To address these knowledge gaps, we combined quantitative volume electron microscopy and comparative transcriptome profiling to create an atlas of the cellular and molecular basis of the chytrid life cycle, using the model chytrid Rhizoclosmatium globosum. From our developmental atlas, we show that zoospores exhibit a specialised biological repertoire dominated by inactive ribosome aggregates, and that lipid processing is complex and dynamic throughout the cell cycle. We demonstrate that the chytrid apophysis is a distinct subcellular structure characterised by high intracellular trafficking, providing evidence for division of labour in the chytrid cell plan, and show that zoosporogenesis includes animal like amoeboid cell morphologies resulting from endocytotic cargo transport from the interstitial maternal cytoplasm. Taken together, our results reveal insights into chytrid developmental biology and provide a basis for future investigations into early-diverging fungal cell biology.

developmental biology↗

Genome evolution of a non-parasitic secondary heterotroph, the diatom Nitzschia putrida

Secondary loss of photosynthesis is observed across almost all plastid-bearing branches of the eukaryotic tree of life. However, genome-based insights into the transition from a phototroph into a secondary heterotroph have so far only been revealed for parasitic species. Free-living organisms can yield unique insights into the evolutionary consequence of the loss of photosynthesis, as the parasitic lifestyle requires specific adaptations to host environments. Here we report on the diploid genome of the free-living diatom Nitzschia putrida (35 Mbp), a non-photosynthetic osmotroph whose photosynthetic relatives contribute ca. 40% of net oceanic primary production. Comparative analyses with photosynthetic diatoms revealed that a combination of genes loss, the horizontal acquisition of genes involved in organic carbon degradation, a unique secretome and the rapid divergence of conserved gene families involved in cell wall and extracellular metabolism appear to have facilitated the lifestyle of a non-parasitic, free-living secondary heterotroph.

genomics↗

Mitotic interhomolog recombination drives genomic diversity in diatoms

Diatoms, an evolutionarily successful group of microalgae, display high levels of intraspecific variability in natural populations. However, the process generating such diversity is unknown. Here we estimated the variability within a natural diatom population and subsequently mapped the genomic changes arising within cultures clonally propagated from single diatom cells. We demonstrate that genome rearrangements and mitotic recombination between homologous chromosomes underlie clonal variability, resulting in haplotype diversity accompanied by the appearance of novel protein variants and loss of heterozygosity resulting in the fixation of alleles. The frequency of interhomolog mitotic recombination exceeds 4 out of 100 cell divisions and increases under environmental stress. We propose that this plastic response in the interhomolog mitotic recombination rate increases the evolutionary potential of diatoms, contributing to their ecological success. One Sentence SummaryRecombination between homologous chromosomes in diatom vegetative cells leads to extensive genomic diversity in clonal populations.

genomics↗

Metagenome-assembled genomes of phytoplankton communities across the Arctic Circle

Phytoplankton communities significantly contribute to global biogeochemical cycles of elements and underpin marine food webs. Although their uncultured genetic diversity has been estimated by planetary-scale metagenome sequencing and subsequent reconstruction of metagenome-assembled genomes (MAGs), this approach has yet to be applied for eukaryote-enriched polar and non-polar phytoplankton communities. Here, we have assembled draft prokaryotic and eukaryotic MAGs from environmental DNA extracted from chlorophyll a maximum layers in the surface ocean across the Arctic Circle in the Atlantic. From 679 Gbp and estimated 50 million genes in total, we recovered 140 MAGs of medium to high quality. Although there was a strict demarcation between polar and non-polar MAGs, adjacent sampling stations in each environment on either side of the Arctic Circle had MAGs in common. Furthermore, phylogenetic placement revealed eukaryotic MAGs to be more diverse in the Arctic whereas prokaryotic MAGs were more diverse in the Atlantic south of the Arctic Circle. Approximately 60% of protein families were shared between polar and non-polar MAGs for both prokaryotes and eukaryotes. However, eukaryotic MAGs had more protein families unique to the Arctic whereas prokaryotic MAGs had more families unique to south of the Arctic circle. Thus, our study enabled us to place differences in functional plankton diversity in a genomic context to reveal that the evolution of these MAGs likely was driven by significant differences in the seascape on either side of an ecosystem boundary that separates polar from non-polar surface ocean waters in the North Atlantic.

microbiology↗

The Seminavis robusta genome provides insights into the evolutionary adaptations of benthic diatoms

Benthic diatoms are the main primary producers in shallow freshwater and coastal environments, fulfilling important ecological functions such as nutrient cycling and sediment stabilization. However, little is known about their evolutionary adaptations to these highly structured but heterogeneous environments. Here, we report a reference genome for the marine biofilm-forming diatom Seminavis robusta, showing that gene family expansions are responsible for a quarter of all 36,254 protein-coding genes. Tandem duplications play a key role in extending the repertoire of specific gene functions, including light and oxygen sensing, which are probably central for its adaptation to benthic habitats. Genes differentially expressed during interactions with bacteria are strongly conserved in other benthic diatoms while many species-specific genes are strongly upregulated during sexual reproduction. Combined with re-sequencing data from 48 strains, our results offer new insights on the genetic diversity and gene functions in benthic diatoms.

bioinformatics↗

A redox-regulated type III metacaspase controls cell death in a marine diatom

Programmed cell death (PCD) in marine phytoplankton was suggested as one of the mechanisms that facilitates large scale bloom demise. Yet, the molecular basis for algal PCD machinery is rudimentary. Metacaspases are considered ancestral proteases that regulate cell death, but their activity and role in algae are still elusive. Here we biochemically characterized a recombinant metacaspase 5 from the model diatom Phaeodactylum tricornutum (PtMC5), revealing calcium-dependent protease activity. This activity includes auto-processing and cleavage following arginine. PtMC5 overexpressing cells exhibited higher metacaspase activity and were more sensitive to a diatom-specific infochemical compared to WT cells. Mutagenesis of potential disulfide-forming cysteines decreased PtMC5 activity, suggesting redox regulation. This cysteine pair is widespread in diatom type III metacaspases, but was not found in any other taxa. The characterization of a cell death associated protein in marine phytoplankton will enable deeper understanding of the ecological significance of PCD in bloom dynamics.

microbiology↗

Efficient CRISPR/Cas-mediated homologous recombination in the model diatom Thalassiosira pseudonana

CRISPR/Cas enables targeted genome editing in many different plant and algal species including the model diatom Thalassiosira pseudonana. However, efficient gene targeting by homologous recombination (HR) to date is only reported for photosynthetic organisms in their haploid life-cycle phase and there are no examples of efficient nuclease-meditated HR in any photosynthetic organism. Here, a CRISPR/Cas construct, assembled using Golden Gate cloning, enabled highly efficient HR for the first time in a diploid photosynthetic organism. HR was induced in T. pseudonana by means of sequence specific CRISPR/Cas, paired with a donor matrix, generating substitution of the silacidin gene by a resistance cassette (FCP:NAT). Approximately 85% of NAT resistant T. pseudonana colonies screened positive for HR using a nested PCR approach and confirmed by sequencing of the PCR products. The knockout of the silacidin gene in T. pseudonana caused a significant increase in cell size, confirming the role of this gene for cell-size regulation in centric diatoms. Highly efficient gene targeting by HR makes T. pseudonana as genetically tractable as Nannochloropsis and Physcomitrella, hence rapidly advancing functional diatom biology, bionanotechnology and any biotechnological application targeted on harnessing the metabolic potential of diatoms.

molecular biology↗