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Michelsen, M.

Publications and source records attributed to Michelsen, M..

5 recordsLinked to original sources

Viral chronotypes and their role in shaping seasonal viral dynamics in the Western English Channel

Marine viruses are key players of ocean biogeochemistry, profoundly influencing microbial community ecology and evolution. Despite their importance, few studies have explored the temporal dynamics of viral genome abundances in marine environments. Viral dynamics are complex, influenced by multiple factors such as host population dynamics and environmental conditions. To disentangle the complexity of viral communities, we developed an unsupervised machine learning framework to classify viral genomes into "chronotypes" based on temporal abundance patterns. Analysing an inter-seasonal monthly time-series of surface viral metagenomes from the Western English Channel, we identified chronotypes and compared their functional and evolutionary profiles. Results revealed a consistent annual cycle with steep compositional changes from winter to summer and steadier transitions from summer to winter. Seasonal chronotypes were enriched in potential auxiliary metabolic genes like ferrochelatases and 2OG-Fe(II) oxygenases compared to non-seasonal types. Chronotypes clustered into four groups based on their correlation profiles with environmental parameters, primarily driven by temperature and nutrients. Viral genomes exhibited a rapid turnover of polymorphisms, akin to Red Queen dynamics. However, within seasonal chronotypes, some sequences exhibited annual polymorphism recurrence, which declined over a 16-month period, suggesting that a fraction of the seasonal viral populations evolve more slowly. Classification into chronotypes revealed viral genomic signatures linked to temporal patterns, likely reflecting metabolic adaptations to environmental fluctuations and host dynamics. This novel framework enables the identification of long-term trends in viral composition, environmental influences on genomic structure, and potential viral interactions.

microbiology↗

Seasonal exometabolites are regulated by essential microbial metabolisms in the oligotrophic ocean

Predictions of how the biogeochemical reservoir of marine dissolved organic matter (DOM) will respond to future ocean changes require an improved understanding of the thousands of individual microbe-molecule interactions which regulate the transformation and fate of DOM. Bulk characterizations of organic matter can mask this complex network of interactions comprised of rich chemical and taxonomic diversity. Here, we present a three-year, depth-resolved time-series of the seasonal dynamics of the exometabolome and the bacterioplankton community at the Bermuda Atlantic Time-series Study (BATS) site. We find both time-series to be highly structured and compositionally distinct across sampling depths. Putative exometabolite identifications (gonyol, glucose 6-sulfate, succinate, and trehalose) indicate that at least a portion of the exometabolome contains rapidly remineralized, labile molecules. We hypothesize that apparent seasonal accumulation of these labile molecules could result from environmental conditions that alter community composition on a seasonal timescale and thus shift the relative proportions of microbial functions that produce and consume the substrates. Critically, we found the composition of seasonal DOM features was more stable interannually than the microbial community structure. By estimating redundancy of metabolic functions responsible for cycling these molecules in BATS metagenomes, we propose a paradigm whereby core microbial metabolisms, either those utilized by all or by a subset of marine microbes, are better predictors of DOM composition than microbial taxonomies. The molecular-level characterization of DOM achieved herein highlights the metabolic imprint of microbial activity in DOM composition and greatly enhances our understanding of the dynamics regulating Earths largest reservoir of organic carbon. Significance statementMarine dissolved organic matter (DOM) is a major carbon reservoir that acts as a critical control on Earths climate. DOM dynamics are largely regulated by a complex web of microbial interactions, but the mechanisms underpinning these processes are not well understood. In a three-year time-series, we found thousands of DOM molecules and microbial taxa exhibited seasonal patterns. Critically, the identity of the microbes was more variable between years than the composition of the DOM molecules. We suggest that shared metabolisms encoded by genes that conduct core microbial functions are responsible for the more stable composition of DOM. This work links DOM molecules with microbial biodiversity, and presents testable predictors of DOM composition in our changing oceans.

microbiology↗

Disease-linked mutations trigger exposure of a protein quality control degron in the DHFR protein

Degrons are short stretches of amino acids or structural motifs that are embedded in proteins. They mediate recognition by E3 ubiquitin-protein ligases and thus confer protein degradation via the ubiquitin-proteasome system. Well-described degrons include the N-degrons, destruction boxes, and the PIP degrons, which mediate the controlled degradation of various proteins including signaling components and cell cycle regulators. In comparison, the so-called protein quality control (PQC) degrons that mediate the degradation of structurally destabilized or misfolded proteins are not well described. Here, we show that disease-linked DHFR missense variants are structurally destabilized and chaperone-dependent proteasome targets. We systematically mapped regions within DHFR to assess those that act as cytosolic PQC degrons in yeast cells. Two regions, DHFR-Deg13-36 (here Deg1) and DHFR-Deg61-84 (here Deg2), act as degrons and conferred degradation to unrelated fusion partners. The proteasomal turnover of Deg2 was dependent on the molecular chaperone Hsp70. Structural analyses by NMR and hydrogen/deuterium exchange revealed that Deg2 is buried in wild-type DHFR, but becomes transiently exposed in the disease-linked missense variants.

biochemistry↗

VirION2: a short- and long-read sequencing and informatics workflow to study the genomic diversity of viruses in nature

Microbes play fundamental roles in shaping natural ecosystem properties and functions, but do so under constraints imposed by their viral predators. However, studying viruses in nature can be challenging due to low biomass and the lack of universal gene markers. Though metagenomic short-read sequencing has greatly improved our virus ecology toolkit-- and revealed many critical ecosystem roles for viruses -- microdiverse populations and fine-scale genomic traits are missed. Some of these microdiverse populations are abundant and the missed regions may be of interest for identifying selection pressures that underpin evolutionary constraints associated with hosts and environments. Though long-read sequencing promises complete virus genomes on single reads, it currently suffers from high DNA requirements and sequencing errors that limit accurate gene prediction. Here we introduce VirION2, an integrated short- and long-read metagenomic wet-lab and informatics pipeline that updates our previous method (VirION) to further enhance the utility of long-read viral metagenomics. Using a viral mock community, we first optimized laboratory protocols (polymerase choice, DNA shearing size, PCR cycling) to enable 76% longer reads (now median length of 6,965 bp) from 100-fold less input DNA (now 1 nanogram). Using a virome from a natural seawater sample, we compared viromes generated with VirION2 against other library preparation options (unamplified, original VirION, and short-read), and optimized downstream informatics for improved long-read error correction and assembly. VirION2 assemblies combined with short-read based data ( enhancedviromes), provided significant improvements over VirION libraries in the recovery of longer and more complete viral genomes, and our optimized error-correction strategy using long- and short-read data achieved 99.97% accuracy. In the seawater virome, VirION2 assemblies captured 5,161 viral populations (including all of the virus populations observed in the other assemblies), 30% of which were uniquely assembled through inclusion of long-reads, and 22% of the top 10% most abundant virus populations derived from assembly of long-reads. Viral populations unique to VirION2 assemblies had significantly higher microdiversity, which may explain why short-read virome approaches failed to capture them. These findings suggest the VirION2 sample prep and workflow (updated at protocols.io) can help researchers better investigate the virosphere, even from challenging low-biomass samples. Our new protocols are available to the research community on protocols.io as a living document to facilitate dissemination of updates to keep pace with the rapid evolution of long read sequencing technology. Taken together, the addition of long-reads uniquely enabled the recovery of 22% of the most abundant viruses--that would have been missed in short-read only assemblies.

microbiology↗

Pangenomics reveal diversification of enzyme families and niche specialization in globally abundant SAR202 bacteria

It has been hypothesized that abundant heterotrophic ocean bacterioplankton in the SAR202 clade of the phylum Chloroflexi evolved specialized metabolism for the oxidation of organic compounds that are resistant to microbial degradation via common metabolic pathways. Expansions of paralogous enzymes were reported and implicated in hypothetical metabolism involving monooxygenase and dioxygenase enzymes. In the metabolic schemes proposed, the paralogs serve the purpose of diversifying the range of organic molecules that cells can utilize. To further explore this question, we reconstructed SAR202 single amplified genomes and metagenome-assembled genomes from locations around the world, including the deepest ocean trenches. In analyses of 122 SAR202 genomes that included six subclades spanning SAR202 diversity, we observed additional evidence of paralog expansions that correlated with evolutionary history, and further evidence of metabolic specialization. Consistent with previous reports, families of flavin-dependent monooxygenases were observed mainly in the Group III SAR202, in the proposed class Monstramaria and expansions of dioxygenase enzymes were prevalent in Group IV. We found that Group I SAR202 encode expansions of racemases in the enolase superfamily, which we propose evolved for the degradation of compounds that resist biological oxidation because of chiral complexity. Supporting the conclusion that the paralog expansions indicate metabolic specialization, fragment recruitment and fluorescence in situ hybridization with phylogenetic probes showed that SAR202 subclades are indigenous to different ocean depths and geographical regions. Surprisingly, some of the subclades were abundant in surface waters and contained rhodopsin genes, altering our understanding of the ecological role of SAR202 in stratified water columns.\n\nImportanceThe oceans contain an estimated 662 Pg C of dissolved organic carbon (DOC). Information about microbial interactions with this vast resource is limited, despite broad recognition that DOM turnover has a major impact on the global carbon cycle. To explain patterns in the genomes of marine bacteria we propose hypothetical metabolic pathways for the oxidation of organic molecules that are resistant to oxidation via common pathways. The hypothetical schemes we propose suggest new metabolism and classes of compounds that could be important for understanding of the distribution of organic carbon throughout the biosphere. These genome-based schemes will remain hypothetical until evidence from experimental cell biology can be gathered to test them, but until then they provide a perspective that directs our attention to the biochemistry of resistant DOM metabolism. Our findings also fundamentally change our understanding of the ecology of SAR202, showing that metabolically diverse variants of these cells occupy niches spanning all depths, and are not relegated to the dark ocean.

genomics↗