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To swim up gradients of nutrients, E. coli senses nutrient concentrations within its periplasm. For small nutrient molecules, periplasmic concentrations typically match extracellular concentrations. However, this is not necessarily the case for saccharides, such as maltose, which are transported into the periplasm via a specific porin. Previous observations have shown that, under various conditions, E. coli limits maltoporin abundance so that, for extracellular micromolar concentrations of maltose, there are predicted to be only nanomolar concentrations of free maltose in the periplasm. Thus, in the micromolar regime, the total uptake of maltose from the external environment into the cytoplasm is limited not by the abundance of cytoplasmic transport proteins but by the abundance of maltoporins. Here, we present results from experiments and modeling suggesting that this porin-limited transport enables E. coli to sense micromolar gradients of maltose despite having a high-affinity ABC transport system that is saturated at these micromolar levels. We used microfluidic assays to study chemotaxis of E. coli in various gradients of maltose and methyl-aspartate and leveraged our experimental observations to develop a mechanistic transport-and-sensing chemotaxis model. Incorporating this model into agent-based simulations, we discover a trade-off between uptake and sensing: although high-affinity transport enables higher uptake rates at low nutrient concentrations, it severely limits the range of dynamic sensing. We thus propose that E. coli may limit periplasmic uptake to increase its chemotactic sensitivity, enabling it to use maltose as an environmental cue.

SAR11 bacteria are the most abundant members of the global ocean microbiome and have a broad impact on ocean ecosystems. To thrive in their competitive oligotrophic environments, these bacteria rely on solute-binding proteins (SBPs) that facilitate nutrient uptake through ABC transporters. Nonetheless, previous studies have been unable to access the molecular mechanisms and functions of these transporters because they rely heavily on homology-based predictions. These mechanisms and functions are essential to understand biogeochemical cycling in the ocean, including assimilation of dissolved organic matter (DOM). Here, by doing a biochemical study of the collective behavior of all SBPs in a SAR11 bacterium, we discover that these transporters have unprecedented binding affinity (Kd≥30 pM) and unexpectedly high binding specificity, revealing molecular mechanisms for oligotrophic adaptation. Our study uncovers new carbon sources for the SAR11 bacteria and provides an accurate biogeographical map of nutrient uptake in the ocean. Our results show how functional adaptation at the molecular level in ubiquitous marine bacteria impacts global patterns of DOM assimilation and provides insight into the contribution of different compounds to oceanic nutrient cycles.

Predatory protozoa play an essential role in shaping microbial populations. Among these protozoa

Properties of microbial communities emerge from the interactions between microorganisms and between microorganisms and their environment. At the scale of the organisms, microbial interactions are multi-step processes that are initiated by cell-cell or cell-resource encounters. Quantification and rational design of microbial interactions thus require quantification of encounter rates. Encounter rates can often be quantified through encounter kernels - mathematical formulae that capture the dependence of encounter rates on cell phenotypes, such as cell size, shape, density or motility, and environmental conditions, such as turbulence intensity or viscosity. While encounter kernels have been studied for over a century, they are often not sufficiently considered in descriptions of microbial populations. Furthermore, formulae for kernels are known only in a small number of canonical encounter scenarios. Yet, encounter kernels can guide experimental efforts to control microbial interactions by elucidating how encounter rates depend on key phenotypic and environmental variables. Encounter kernels also provide physically grounded estimates for parameters that are used in ecological models of microbial populations. We illustrate this encounter-oriented perspective on microbial interactions by reviewing traditional and recently identified kernels describing encounters between microorganisms and between microorganisms and resources in aquatic systems., Interface Focus, 13 (2), ISSN:2042-8898, ISSN:2042-8901

Phytoplankton are key components of the oceanic carbon and sulfur cycles1. During bloom events, some species can emit large amounts of the organosulfur volatile dimethyl sulfide (DMS) into the ocean and consequently the atmosphere, where it can modulate aerosol formation and affect climate2,3. In aquatic environments, DMS plays an important role as a chemical signal mediating diverse trophic interactions. Yet, its role in microbial predator–prey interactions remains elusive with contradicting evidence for its role in either algal chemical defence or in the chemo-attraction of grazers to prey cells4,5. Here we investigated the signalling role of DMS during zooplankton–algae interactions by genetic and biochemical manipulation of the algal DMS-generating enzyme dimethylsulfoniopropionate lyase (DL) in the bloom-forming alga Emiliania huxleyi6. We inhibited DL activity in E. huxleyi cells in vivo using the selective DL-inhibitor 2-bromo-3-(dimethylsulfonio)-propionate7 and overexpressed the DL-encoding gene in the model diatom Thalassiosira pseudonana. We showed that algal DL activity did not serve as an anti-grazing chemical defence but paradoxically enhanced predation by the grazer Oxyrrhis marina and other microzooplankton and mesozooplankton, including ciliates and copepods. Consumption of algal prey with induced DL activity also promoted O. marina growth. Overall, our results demonstrate that DMS-mediated grazing may be ecologically important and prevalent during prey–predator dynamics in aquatic ecosystems. The role of algal DMS revealed here, acting as an eat-me signal for grazers, raises fundamental questions regarding the retention of its biosynthetic enzyme through the evolution of dominant bloom-forming phytoplankton in the ocean. Algal production of dimethyl sulfide plays a role in attracting predators and enhancing predation by zooplankton, thus mediating predator–prey relationships in the ocean.

Environmental and host-associated microbiomes are typically diverse assemblages of organisms performing myriad activities and engaging in a network of interactions that play out in spatially structured contexts. As the sum of these activities and interactions give rise to overall microbiome function, with important consequences for environmental processes and human health, elucidating specific microbial activities within complex communities is a pressing challenge. Single-cell stable isotope probing (SC-SIP) encompasses multiple techniques that typically utilize Raman microspectroscopy or nanoscale secondary ion mass spectrometry (NanoSIMS) to enable spatially resolved tracking of isotope tracers in cells, cellular components, and metabolites. SC-SIP techniques are uniquely suited for illuminating single-cell activities in microbial communities and for testing hypotheses about cellular functions generated for example from meta-omics datasets. Here, we illustrate the insights enabled by SC-SIP techniques by reviewing selected applications in microbiology and offer a perspective on their potential for future research., ISME Communications, 2 (1)

We study pore-scale dynamics of reactive transport in heterogeneous, dual-porosity media, wherein a reactant in the invading fluid interacts chemically with the surface of the permeable grains, lea...

Predatory protozoa play an essential role in shaping microbial populations. Among these protozoa, Acanthamoeba are ubiquitous in the soil and aqueous environments inhabited by Listeria monocytogenes. Observations of predator-prey interactions between these two microorganisms revealed a predation strategy in which Acanthamoeba castellanii assemble L. monocytogenes in aggregates, termed backpacks, on their posterior. The rapid formation and specific location of backpacks led to the assumption that A. castellanii may recruit L. monocytogenes by releasing an attractant. However, this hypothesis has not been validated, and the mechanisms driving this process remained unknown. Here, we combined video microscopy, microfluidics, single-cell image analyses, and theoretical modeling to characterize predator-prey interactions of A. castellanii and L. monocytogenes and determined whether bacterial chemotaxis contributes to the backpack formation. Our results indicate that L. monocytogenes captures are not driven by chemotaxis. Instead, random encounters of bacteria with amoebae initialize bacterial capture and aggregation. This is supported by the strong correlation between experimentally derived capture rates and theoretical encounter models at the single-cell level. Observations of the spatial rearrangement of L. monocytogenes trapped by A. castellanii revealed that bacterial aggregation into backpacks is mainly driven by amoeboid locomotion. Overall, we show that two nonspecific, independent mechanisms, namely random encounters enhanced by bacterial motility and predator surface-bound locomotion, drive backpack formation, resulting in a bacterial aggregate on the amoeba ready for phagocytosis. Due to the prevalence of these two processes in the environment, we expect this strategy to be widespread among amoebae, contributing to their effectiveness as predators., Proceedings of the National Academy of Sciences of the United States of America, 119 (32), ISSN:0027-8424, ISSN:1091-6490

To swim up gradients of nutrients, E. coli senses nutrient concentrations within its periplasm. For small nutrient molecules, periplasmic concentrations typically match extracellular concentrations. However, this is not necessarily the case for saccharides, such as maltose, which is transported into the periplasm via a specific porin. Previous observations have shown that under various conditions E. coli limits maltoporin abundance so that, for extracellular micromolar concentrations of maltose, there are predicted to be only nanomolar concentrations of free maltose in the periplasm. Thus, in the micromolar regime, the total uptake of maltose from the external environment into the cytoplasm is limited not by the abundance of cytoplasmic transport proteins but by the abundance of maltoporins. Here we present results from experiments and modeling showing that this porin-limited transport enables E. coli to sense micromolar gradients of maltose despite having a high-affinity ABC transport system that is saturated at these micromolar levels. We used microfluidic assays to study chemotaxis of E. coli in various gradients of maltose and methyl-aspartate and leveraged our experimental observations to develop a mechanistic transport-and-sensing chemotaxis model. Incorporating this model into agent-based simulations, we discover a trade-off between uptake and sensing: although high-affinity transport enables higher uptake rates at low nutrient concentrations, it severely limits dynamic sensing range. We thus propose that E. coli may limit periplasmic uptake to increase its chemotactic sensitivity, enabling it to use maltose as an environmental cue.Statement of SignificanceBacterial chemotaxis is among the best-studied systems in biology and is paradigmatic of the mechanisms used by cells to link sensory inputs with regulated responses, thus providing insight into the ecological basis of cellular physiology. Here we present a mechanistic chemotaxis model that describes how the regulation of the transport of a sugar into and out of the cell’s periplasm affects the cell’s motile response to that sugar. Based on observations from population-level chemotaxis assays, we uncover an ecologically relevant trade-off between sensing and uptake. The general finding of this work is that, while high-affinity transport allows for higher uptake rates, it can severely limit the cell’s dynamic sensing range.

Sinking particulate organic matter (POM) is a primary component of the ocean's biological carbon pump that is responsible for carbon export from the surface to the deep sea. Lipids derived from plankton comprise a significant fraction of sinking POM. Our understanding of planktonic lipid biosynthesis and the subsequent degradation of lipids in sinking POM is based on the analysis of bulk samples that combine many millions of plankton cells or dozens of sinking particles, which averages out natural heterogeneity. We developed and applied a nanoflow high-performance liquid-chromatography electrospray-ionization high-resolution accurate-mass mass spectrometry lipidomic method to show that two types of sinking particles─marine snow and fecal pellets─collected in the western North Atlantic Ocean have distinct lipidomes, providing new insights into their sources and degradation that would not be apparent from bulk samples. We pressed the limit of this approach by examining individual diatom cells from a single culture, finding marked lipid heterogeneity, possibly indicative of fundamental mechanisms underlying cell division. These single-cell data confirm that even cultures of phytoplankton cells should be viewed as mixtures of physiologically distinct populations. Overall, this work reveals previously hidden lipidomic heterogeneity in natural POM and phytoplankton cells, which may provide critical new insights into microscale chemical and microbial processes that control the export of sinking POM.

The sinking of organic particles in the ocean and their degradation by marine microorganisms is one of the main drivers of the biological pump. Yet, the mechanisms determining the magnitude of the pump remain poorly understood, limiting our ability to predict this carbon flux in future ocean scenarios. Current ocean models assume that the biological pump is governed by the competition between sinking speed and degradation rate, with the two processes independent from one another. Contrary to this paradigm, we show that sinking itself is a primary determinant of the rate at which bacteria degrade particles. Heterotrophic bacterial degradation rates were obtained from a laboratory study on model surface-colonized particles at atmospheric pressure under a range of flow speeds to mimic different sinking velocities. We find that even modest sinking speeds of 8 m day−1 enhance degradation rates more than 10-fold compared with degradation rates of non-sinking particles. We discovered that the molecular mechanism underlying this sinking-enhanced degradation is the flow-induced removal from the particles of the oligomeric breakdown products, which otherwise compete for enzymatic activity. This mechanism applies across several substrates and bacterial strains, suggesting its potentially broad occurrence under natural marine conditions. Integrating our findings into a mathematical model of particulate carbon flux, we propose that the coupling of sinking and degradation may contribute, in conjunction with other processes, to determining the magnitude of the vertical carbon flux in the ocean. Faster sinking rates can enhance bacterial degradation of organic particles in the ocean due to flow-induced removal of waste products, according to laboratory experiments and modelling of the marine carbon pump.

Programmed cell death (PCD) in marine microalgae was suggested to be one of the mechanisms that facilitates bloom demise, yet its molecular components in phytoplankton are unknown. Phytoplankton are completely lacking any of the canonical components of PCD, such as caspases, but possess metacaspases. Metacaspases were shown to regulate PCD in plants and some protists, but their roles in algae and other organisms are still elusive. Here, we identified and biochemically characterized a type III metacaspase from the model diatom Phaeodactylum tricornutum, termed PtMCA-IIIc. Through expression of recombinant PtMCA-IIIc in E. coli, we revealed that PtMCA-IIIc exhibits a calcium-dependent protease activity, including auto-processing and cleavage after arginine. Similar metacaspase activity was detected in P. tricornutum cell extracts. PtMCA-IIIc overexpressing cells exhibited higher metacaspase activity, while CRISPR/Cas9-mediated knockout cells had decreased metacaspase activity compared to WT cells. Site-directed mutagenesis of cysteines that were predicted to form a disulfide bond decreased recombinant PtMCA-IIIc activity, suggesting its enhancement under oxidizing conditions. One of those cysteines was oxidized, detected in redox proteomics, specifically in response to lethal concentrations of hydrogen peroxide and a diatom derived aldehyde. Phylogenetic analysis revealed that this cysteine-pair is unique and widespread among diatom type III metacaspases. The characterization of a cell death associated protein in diatoms provides insights into the evolutionary origins of PCD and its ecological significance in algal bloom dynamics., Frontiers in Microbiology, 12, ISSN:1664-302X

Sinking particulate organic carbon out of the surface ocean sequesters carbon on decadal to millennial timescales. Predicting the particulate carbon flux is therefore critical for understanding both global carbon cycling and the future climate. Microbes play a crucial role in particulate organic carbon degradation, but the impact of depth-dependent microbial dynamics on ocean-scale particulate carbon fluxes is poorly understood. Here we scale-up essential features of particle-associated microbial dynamics to understand the large-scale vertical carbon flux in the ocean. Our model provides mechanistic insight into the microbial contribution to the particulate organic carbon flux profile. We show that the enhanced transfer of carbon to depth can result from populations struggling to establish colonies on sinking particles due to diffusive nutrient loss, cell detachment, and mortality. These dynamics are controlled by the interaction between multiple biotic and abiotic factors. Accurately capturing particle-microbe interactions is essential for predicting variability in large-scale carbon cycling.

Stable isotope labeling of microbial taxa of interest and their sorting provide an efficient and direct way to answer the question “who does what?” in complex microbial communities when coupled with fluorescence in situ hybridization or downstream ‘omics’ analyses. We have developed a platform for automated Raman-based sorting in which optical tweezers and microfluidics are used to sort individual cells of interest from microbial communities on the basis of their Raman spectra. This sorting of cells and their downstream DNA analysis, such as by mini-metagenomics or single-cell genomics, or cultivation permits a direct link to be made between the metabolic roles and the genomes of microbial cells within complex microbial communities, as well as targeted isolation of novel microbes with a specific physiology of interest. We describe a protocol from sample preparation through Raman-activated live cell sorting. Subsequent cultivation of sorted cells is described, whereas downstream DNA analysis involves well-established approaches with abundant methods available in the literature. Compared with manual sorting, this technique provides a substantially higher throughput (up to 500 cells per h). Furthermore, the platform has very high sorting accuracy (98.3 ± 1.7%) and is fully automated, thus avoiding user biases that might accompany manual sorting. We anticipate that this protocol will empower in particular environmental and host-associated microbiome research with a versatile tool to elucidate the metabolic contributions of microbial taxa within their complex communities. After a 1-d preparation of cells, sorting takes on the order of 4 h, depending on the number of cells required. ISSN:1750-2799 ISSN:1754-2189

Phytoplankton are key components of the oceanic carbon and sulfur cycles 1. During bloom events, some species can emit massive amounts of the organosulfur volatile dimethyl sulfide (DMS) to the atmosphere, where it can modulate aerosol formation and affect climate. In aquatic environments, DMS plays an important role as a chemical signal mediating diverse trophic-level interactions. Yet its role in microbial predator-prey interactions remains elusive with contradicting evidence for its role in algal chemical defense and in grazer’s chemoattraction to prey cells. Here, we investigated the signaling role of DMS during zooplankton-algae interactions by genetic and biochemical manipulation of the algal DMS-generating enzyme (Dimethylsulfoniopropionate lyase, DL) from the bloom-forming alga Emiliania huxleyi. We inhibited DL activity in live E. huxleyi cells by the novel DL-inhibitor 2-bromo-3-(dimethylsulfonio)-propionate (Br-DMSP) , and overexpressed DL in the model diatom Thalassiosira pseudonana. We showed that algal DL activity did not serve as anti-grazing chemical defense, and paradoxically enhanced grazing by the model microzooplankton Oxyrrhis marina and other micro- and mesozooplankton, including ciliates and copepods. Consumption of algal prey with induced DL activity also promoted O. marina’s growth. Overall, our results demonstrate that DMS-mediated herbivory may be ecologically important and prevalent during prey-predator dynamics in oceanic ecosystems. The role of DMS as an appetizing signal to grazers revealed here raises fundamental questions regarding the retention of its biosynthetic enzyme through the evolution of dominant bloom-forming phytoplankton in the ocean.

Stable isotope labeling of microbial taxa of interest and their sorting provide an efficient and direct way to answer the question "who does what?" in complex microbial communities when coupled with fluorescence in situ hybridization or downstream 'omics' analyses. We have developed a platform for automated Raman-based sorting in which optical tweezers and microfluidics are used to sort individual cells of interest from microbial communities on the basis of their Raman spectra. This sorting of cells and their downstream DNA analysis, such as by mini-metagenomics or single-cell genomics, or cultivation permits a direct link to be made between the metabolic roles and the genomes of microbial cells within complex microbial communities, as well as targeted isolation of novel microbes with a specific physiology of interest. We describe a protocol from sample preparation through Raman-activated live cell sorting. Subsequent cultivation of sorted cells is described, whereas downstream DNA analysis involves well-established approaches with abundant methods available in the literature. Compared with manual sorting, this technique provides a substantially higher throughput (up to 500 cells per h). Furthermore, the platform has very high sorting accuracy (98.3 ± 1.7%) and is fully automated, thus avoiding user biases that might accompany manual sorting. We anticipate that this protocol will empower in particular environmental and host-associated microbiome research with a versatile tool to elucidate the metabolic contributions of microbial taxa within their complex communities. After a 1-d preparation of cells, sorting takes on the order of 4 h, depending on the number of cells required.

Marine organisms release dimethylsulfide (DMS) via cleavage of dimethylsulfoniopropionate (DMSP). Different genes encoding proteins with DMSP lyase activity are known, yet these exhibit highly variable levels of activity. Most assigned bacterial DMSP lyases, including DddK, DddL, DddQ, DddW, and DddY, appear to belong to one, cupin-like superfamily. Here, we attempted to define and map this superfamily dubbed cupin-DLL (DMSP lyases and lyase-like). To this end, we have pursued the characterization of various recombinant DMSP lyases belonging to this superfamily of metalloenzymes, and especially of DddY and DddL that seem to be the most active DMSP lyases in this superfamily. We identified two conserved sequence motifs that characterize this superfamily. These motifs include the metal-ligating residues that are absolutely essential and other residues including an active site tyrosine that seems to play a relatively minor role in DMSP lysis. We also identified a transition metal chelator, N, N, N', N'-tetrakis(2-pyridylmethyl)ethane-1,2-diamine (TPEN), that selectively inhibits all known members of the cupin-DLL superfamily that exhibit DMSP lyase activity. A phylogenetic analysis indicated that the known DMSP lyase families are sporadically distributed suggesting that DMSP lyases evolved within this superfamily multiple times. However, unusually low specific DMSP lyase activity and genome context analysis suggest that DMSP lyase is not the native function of most cupin-DLL families. Indeed, a systematic profiling of substrate selectivity with a series of DMSP analogues indicated that some members, most distinctly DddY and DddL, are bona fide DMSP lyases, while others, foremost DddQ, may only exhibit promiscuous DMSP lyase activity.

The ecological interaction between bacteria and sinking particles, such as bacterial degradation of marine snow particles, is regulated by their encounters. Current encounter models focus on the diffusive regime, valid for particles larger than the bacterial run length, yet the majority of marine snow particles are small, and the encounter process is then ballistic. Here, we analytically and numerically quantify the encounter rate between sinking particles and non-motile or motile micro-organisms in the ballistic regime, explicitly accounting for the hydrodynamic shear created by the particle and its coupling with micro-organism shape. We complement results with selected experiments on non-motile diatoms. The shape-shear coupling has a considerable effect on the encounter rate and encounter location through the mechanisms of hydrodynamic focusing and screening, whereby elongated micro-organisms preferentially orient normally to the particle surface downstream of the particle (focusing) and tangentially to the surface upstream of the particle (screening). Non-motile elongated micro-organisms are screened from sinking particles because shear aligns them tangentially to the particle surface, which reduces the encounter rate by a factor proportional to the square of the micro-organism aspect ratio. For motile elongated micro-organisms, hydrodynamic focusing increases the encounter rate when particle sinking speed is similar to micro-organism swimming speed, whereas for very quickly sinking particles hydrodynamic screening can reduce the encounter rate below that of non-motile micro-organisms. For natural ocean conditions, we connect the ballistic and diffusive limits and compute the encounter rate as a function of shape, motility and particle characteristics. Our results indicate that shear should be taken into account to predict the interactions between bacteria and sinking particles responsible for the large carbon flux in the ocean's biological pump., New Journal of Physics, 22 (4), ISSN:1367-2630

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.

Dimethyl sulfide (DMS) is released at rates of10

Dimethyl sulfide (DMS) is released at rates of >107 tons annually and plays a key role in the oceanic sulfur cycle and ecology. Marine bacteria, algae, and possibly other organisms release DMS via cleavage of dimethylsulfoniopropionate (DMSP). DMSP lyases have been identified in various organisms, including bacteria, coral, and algae, thus comprising a range of gene families putatively assigned as DMSP lyases. Metagenomics may therefore provide insight regarding the presence of DMSP lyases in various marine environments, thereby promoting a better understanding of global DMS emission. However, gene counts, and even mRNA levels, do not necessarily reflect the level of DMSP cleavage activity in a given environmental sample, especially because some of the families assigned as DMSP lyases may merely exhibit promiscuous lyase activity. Here, we describe a range of biochemical profiling methods that can assign an observed DMSP lysis activity to a specific gene family. These methods include selective inhibitors and DMSP substrate analogues. Combined with genomics and metagenomics, biochemical profiling may enable a more reliable identification of the origins of DMS release in specific organisms and in crude environmental samples.

Sourcing the smell of the seaside Marine phytoplankton plays a critical role in the global sulfur cycle. Algae, for instance, are the main source of the aromatic compound dimethylsulfide (DMS) released from the oceans into the atmosphere. Alcolombri et al. identified the lyase enzyme responsible for DMS production in the bloom-forming marine phytoplankton Emiliania huxleyi (see the Perspective by Johnston). The presence of this gene in other globally distributed phytoplankton and corals suggests that it may serve as a reliable indicator of DMS production across diverse phyla. Because DMS gets oxidized to sulfur aerosols, which act as cloud condensation nuclei, this enzyme is a key global biogeochemical catalyst. Science , this issue p. 1466 ; see also p. 1430

Enzyme promiscuity is widely spread. Foremost, within superfamilies, the native function of one enzyme is typically observed as promiscuous activity in related enzymes. The native function usually exhibits high catalytic efficiency while promiscuous activities are weak, but this is not always the case. Thus, for certain enzymes it remains questionable whether their currently known activity is native or promiscuous. Dimethylsulfon-iopropionate (DMSP) is an abundant marine metabolite cleaved via β-elimination to release dimethylsulfide (DMS). Eight different gene families have been identified as putative DMSP lyases, 5 of them belonging to the same superfamily (cupin-DLL; see the accompanying paper). Some of these enzymes exhibit very low activity, but this can be due to suboptimal folding or reaction conditions. We developed a substrate profiling approach with the aim of distinguishing native DMSP lyases from enzymes that promiscuously act as DMSP lyases. In a native DMSP lyase, relatively small changes in the structure of DMSP should induce significant activity drops. We thus profiled substrate selectivity by systematically modifying DMSP while retaining reactivity. Three enzymes that exhibit the highest activity with DMSP also exhibited high sensitivity to perturbation of DMSP’s structure (Alma, DddY, and DddL). The two enzymes with the weakest DMSP lyase activity also showed the highest crossreactivity (DddQ, DddP). Combined with other indications, it appears that the DMSP lyase activity of DddQ and DddP is promiscuous although their native function remains unknown. Systematic substrate profiling could help identify and assign potential DMSP lyases, and possibly applied to other enzymes.AbbreviationsDMSP, dimethylsulfoniopropionate; DMS, dimethylsulfide; cupin-DLL, cupin DMSP lyase and lyase-like.FundingFinancial support by the Estate of Mark Scher, and the Sasson & Marjorie Peress Philanthropic Fund, are gratefully acknowledged. D.S.T. is the Nella and Leon Benoziyo Professor of Biochemistry.

Dimethylsulfide (DMS) is released at rates of >107tons annually and plays a key role in the oceanic sulfur cycle and ecology. Marine bacteria, algae, and possibly other organisms, release DMS via cleavage of dimethylsulfoniopropionate (DMSP). Different genes encoding proteins with DMSP lyase activity are known belonging to different superfamilies and exhibiting highly variable levels of DMSP lyase activity. DddY shows the highest activity among all reported bacterial lyases yet is poorly characterized. Here, we describe the characterization of recombinant DddY is from different marine bacteria. We found that DddY activity demands a transition metal ion cofactor. DddY also shares two sequence motifs with other bacterial lyases assigned as cupin-like enzymes, DddQ, DddL, DddK, and DddW. These cupin motif residues are essential for DddY activity, as for the other cupin DMSP lyases, and all these enzymes are characterized by a common metal-chelator inhibitor (TPEN). Analysis of all sequences carrying these cupin motifs defined a superfamily: Cupin-DLL (DMSP lyases and lyase-like). The DMSP lyase families are sporadically distributed suggesting that DMSP lyases evolved within this superfamily independently along multiple lineages. However, the specific activity levels, genomic context analysis, and systematic profiling of substrate selectivity as described in the accompanying paper, indicate that for only some of these families, most distinctly DddY and DddL, DMSP lyase is the primary, native activity. In other families, foremost DddQ, DMSP lyase seems to be merely a promiscuous activity. The native function of DddQ, and of nearly all members of this newly identified Cupin-DLL superfamily, remains unknown.AbbreviationsDMSPdimethylsulfoniopropionateDMSdimethylsulfidecupin-DLLcupin DMSP lyase and lyase-likeFundingFinancial support by the Estate of Mark Scher, and the Sasson & Marjorie Peress Philanthropic Fund, are gratefully acknowledged. D.S.T. is the Nella and Leon Benoziyo Professor of Biochemistry.

Atmospheric dimethylsulfide (DMS) is massively produced in the oceans by bacteria, algae, and corals. To enable identification of DMS sources, we developed a potent mechanism-based inhibitor of the algal Alma dimethylsulfoniopropionate lyase family that does not inhibit known bacterial lyases. Its application to coral holobiont indicates that DMS originates from Alma lyase(s). This biochemical profiling may complement meta-genomics and transcriptomics to provide better understanding of the marine sulfur cycle.

Dimethyl sulfide (DMS) is produced in oceans in vast amounts (10(7) tons/year) and mediates a wide range of processes from regulating marine life forms to cloud formation. Nonetheless, none of the enzymes that produce DMS from dimethylsulfoniopropionate (DMSP) has been adequately characterized. We describe the expression and purification of DddD from the marine bacterium Marinomonas sp. MWYL1 and its biochemical characterization. We identified DMSP and acetyl-coenzyme A to be DddD's native substrates and Asp602 as the active site residue mediating the CoA-transferase prior to lyase activity. These findings shed light on the biochemical utilization of DMSP in the marine environment.

Algal blooms produce large amounts of dimethyl sulfide (DMS), a volatile with a diverse signaling role in marine food webs that is emitted to the atmosphere, where it can affect cloud formation. The algal enzymes responsible for forming DMS from dimethylsulfoniopropionate (DMSP) remain unidentified despite their critical role in the global sulfur cycle. We identified and characterized Alma1, a DMSP lyase from the bloom-forming algae Emiliania huxleyi. Alma1 is a tetrameric, redox-sensitive enzyme of the aspartate racemase superfamily. Recombinant Alma1 exhibits biochemical features identical to the DMSP lyase in E. huxleyi, and DMS released by various E. huxleyi isolates correlates with their Alma1 levels. Sequence homology searches suggest that Alma1 represents a gene family present in major, globally distributed phytoplankton taxa and in other marine organisms.

Li et al. (1) describe a structure and a mechanism for DddQ, an enzyme identified in marine microbial genomes, and putatively annotated as a dimethylsulfoniopropionate (DMSP) lyase (2). We surmise, however, that the presented data are insufficient to support its identification as a marine microbial DMSP lyase, let alone the claim for novel insights regarding the bacterial cleavage of oceanic DMSP.

Large libraries of randomly mutated genes are applied in directed evolution experiments in order to obtain sufficient variability. These libraries, however, contain mostly inactive variants, and the very low frequency of improved variants can only be isolated by high-throughput screening. Small but efficient libraries comprise an attractive alternative. Here, we describe the application of ancestral libraries—libraries based on mutations predicted by phylogenetic analysis and ancestral inference. We designed and constructed such libraries using serum paraoxonases and cytosolic sulfotransferases (SULTs) as model enzymes. Both of these enzyme families exhibit a range of activities in drug metabolism and detoxification of xenobiotics. The ancestral serum paraoxonase and SULT libraries were screened by low-throughput means, including HPLC, using substrates and/or reactions with which all family members exhibit low activity. The libraries showed a remarkably high frequency of highly polymorphic and functionally diverse variants. Screening of as few as 300 variants enabled the isolation of mutants with up to 50-fold higher activity than the starting point enzyme. Structural and kinetic characterizations of an evolved SULT variant show how few ancestral mutations reshaped the active site and modulated the enzyme's specificity. Ancestral libraries therefore comprise a means of focusing diversity to positions and mutations that readily trigger changes in substrate and/or reaction specificity, thereby facilitating the isolation of new enzyme variants for a variety of different substrates and reactions by medium-throughput or even low-throughput screens.