Shell Beds as paleoecological puzzles: A case study from the Upper Permian of the Paraná Basin, Brazil

Summary Microstratigraphic, sedimentological, and taphonomic features of the Ferraz Shell Bed, from the Upper Permian (Kazanian-Tatarian?) Corumbataí Formation of Rio Claro Region (the Paraná Basin, Brazil), indicate that the bed consists of four distinct microstratigraphic units. They include, from bottom to top, a lag concentration (Unit 1), a partly reworked storm deposit (Unit 2), a rapidly deposited sandstone unit with three thin horizons recording episodes of reworking (Unit 3), and a shell-rich horizon generated by reworking/winnowing that was subsequently buried by storm-induced obrution deposit (Unit 4). The bioclasts of the Ferraz Shell Bed represent exclusively bivalve mollusks.Pinzonellaillusa andTerraia aequilateralis are the dominant species. Taphonomic analysis indicates that mollusks are heavily time-averaged (except for some parts of Unit 3). Moreover, different species are time-averaged to a different degree (disharmonious time-averaging). The units differ statistically from one another in their taxonomic and ecological composition, in their taphonomic pattern, and in the size-frequency distributions of the two most common species. Other Permian shell beds of the Paraná Basin are simílar to the Ferraz Shell Bed in their faunal composition (they typically contain similar sets of 5 to 10 bivalve species) and in their taphonomic, sedimentologic, and microstratigraphic characteristics. However, rare shell beds that include 2–3 species only and are dominated by articulated shells preserved in life position also occur. Diversity levels in the Permian benthic associations of the Paraná Basin were very low, with the point diversity of 2–3 species and with the within-habitat and basin-wide (alpha and gamma) diversities of 10 species, at most. The Paraná Basin benthic communities may have thus been analogous to low-diversity bivalve-dominated associations of the present-day Baltic Sea. The ‘Ferraz-type’ shell beds of the Paraná Basin represent genetically complex and highly heterogeneous sources of paleontological data. They are cumulative records of spectra of benthic ecosystems time-averaged over long periods of time (10²–10⁴ years judging from actualistic research). Detailed biostratinomic reconstructions of shell beds can not only offer useful insights into their depositional histories, but may also allow paleoecologists to optimize their sampling designs, and consequently, refine paleoecological and paleoenvironmental interpretations.     

Predicting and controlling the reactivity of immune cell populations against cancer

Heterogeneous cell populations form an interconnected network that determine their collective output. One example of such a heterogeneous immune population is tumor‐infiltrating lymphocytes (TILs), whose output can be measured in terms of its reactivity against tumors. While the degree of reactivity varies considerably between different TILs, ranging from null to a potent response, the underlying network that governs the reactivity is poorly understood. Here, we asked whether one can predict and even control this reactivity. To address this we measured the subpopulation compositions of 91 TILs surgically removed from 27 metastatic melanoma patients. Despite the large number of subpopulations compositions, we were able to computationally extract a simple set of subpopulation‐based rules that accurately predict the degree of reactivity. This raised the conjecture of whether one could control reactivity of TILs by manipulating their subpopulation composition. Remarkably, by rationally enriching and depleting selected subsets of subpopulations, we were able to restore anti‐tumor reactivity to nonreactive TILs. Altogether, this work describes a general framework for predicting and controlling the output of a cell mixture.     

Characterization of the Newly Isolated Lytic Bacteriophages KTN6 and KT28 and Their Efficacy against Pseudomonas aeruginosa Biofilm

We here describe two novel lytic phages, KT28 and KTN6, infecting Pseudomonas aeruginosa, isolated from a sewage sample from an irrigated field near Wroclaw, in Poland. Both viruses show characteristic features of Pbunalikevirus genus within the Myoviridae family with respect to shape and size of head/tail, as well as LPS host receptor recognition. Genome analysis confirmed the similarity to other PB1-related phages, ranging between 48 and 96%. Pseudomonas phage KT28 has a genome size of 66,381 bp and KTN6 of 65,994 bp. The latent period, burst size, stability and host range was determined for both viruses under standard laboratory conditions. Biofilm eradication efficacy was tested on peg-lid plate assay and PET membrane surface. Significant reduction of colony forming units was observed (70-90%) in 24 h to 72 h old Pseudomonas aeruginosa PAO1 biofilm cultures for both phages. Furthermore, a pyocyanin and pyoverdin reduction tests reveal that tested phages lowers the amount of both secreted dyes in 48-72 h old biofilms. Diffusion and goniometry experiments revealed the increase of diffusion rate through the biofilm matrix after phage application. These characteristics indicate these phages could be used to prevent Pseudomonas aeruginosa infections and biofilm formation. It was also shown, that PB1-related phage treatment of biofilm caused the emergence of stable phage-resistant mutants growing as small colony variants.     

Even the Smallest Non-Crop Habitat Islands Could Be Beneficial: Distribution of Carabid Beetles and Spiders in Agricultural Landscape

Carabid beetles and ground-dwelling spiders inhabiting agroecosystems are beneficial organisms with a potential to control pest species. Intensification of agricultural management and reduction of areas covered by non-crop vegetation during recent decades in some areas has led to many potentially serious environmental problems including a decline in the diversity and abundance of beneficial arthropods in agricultural landscapes. This study investigated carabid beetle and spider assemblages in non-crop habitat islands of various sizes (50 to 18,000 square metres) within one large field, as well as the arable land within the field, using pitfall traps in two consecutive sampling periods (spring to early summer and peak summer). The non-crop habitat islands situated inside arable land hosted many unique ground-dwelling arthropod species that were not present within the surrounding arable land. Even the smallest non-crop habitat islands with areas of tens of square metres were inhabited by assemblages substantially different from these inhabiting arable land and thus enhanced the biodiversity of agricultural landscapes. The non-crop habitat area substantially affected the activity density, recorded species richness and recorded species composition of carabid and ground-dwelling spider assemblages; however, the effects were weakened when species specialised to non-crop habitats species were analysed separately. Interestingly, recorded species richness of spiders increased with non-crop habitat area, whereas recorded species richness of carabid beetles exhibited an opposite trend. There was substantial temporal variation in the spatial distribution of ground-dwelling arthropods, and contrasting patterns were observed for particular taxa (carabid beetles and spiders). In general, local environmental conditions (i.e., non-crop habitat island tree cover, shrub cover, grass cover and litter depth) were better determinants of arthropod assemblages than non-crop habitat island size, indicating that the creation of quite small but diversified (e.g., differing in vegetation cover) non-crop habitat islands could be the most efficient tool for the maintenance and enhancement of diversity of ground-dwelling carabids and spiders in agricultural landscapes.     

Oxidative Damage of U937 Human Leukemic Cells Caused by Hydroxyl Radical Results in Singlet Oxygen Formation

The exposure of human cells to oxidative stress leads to the oxidation of biomolecules such as lipids, proteins and nuclei acids. In this study, the oxidation of lipids, proteins and DNA was studied after the addition of hydrogen peroxide and Fenton reagent to cell suspension containing human leukemic monocyte lymphoma cell line U937. EPR spin-trapping data showed that the addition of hydrogen peroxide to the cell suspension formed hydroxyl radical via Fenton reaction mediated by endogenous metals. The malondialdehyde HPLC analysis showed no lipid peroxidation after the addition of hydrogen peroxide, whereas the Fenton reagent caused significant lipid peroxidation. The formation of protein carbonyls monitored by dot blot immunoassay and the DNA fragmentation measured by comet assay occurred after the addition of both hydrogen peroxide and Fenton reagent. Oxidative damage of biomolecules leads to the formation of singlet oxygen as conformed by EPR spin-trapping spectroscopy and the green fluorescence of singlet oxygen sensor green detected by confocal laser scanning microscopy. It is proposed here that singlet oxygen is formed by the decomposition of high-energy intermediates such as dioxetane or tetroxide formed by oxidative damage of biomolecules.     

Musical Minds: Attentional Blink Reveals Modality-Specific Restrictions

BackgroundFormal musical training is known to have positive effects on attentional and executive functioning, processing speed, and working memory. Consequently, one may expect to find differences in the dynamics of temporal attention between musicians and non-musicians. Here we address the question whether that is indeed the case, and whether any beneficial effects of musical training on temporal attention are modality specific or generalize across sensory modalities.Conclusion/SignificanceAB magnitude within one modality can generalize to another modality, but this turns out not to be the case for every individual. Formal musical training seems to have a domain-general, but modality-specific beneficial effect on selective attention. The results fit with the idea that a major source of attentional restriction as reflected in the AB lies in modality-specific, independent sensory systems rather than a central amodal system. The findings demonstrate that individual differences in AB magnitude can provide important information about the modular structure of human cognition.     

Cytoskeletal Components Define Protein Location to Membrane Microdomains

The plasma membrane is an important compartment that undergoes dynamic changes in composition upon external or internal stimuli. The dynamic subcompartmentation of proteins in ordered low-density (DRM) and disordered high-density (DSM) membrane phases is hypothesized to require interactions with cytoskeletal components. Here, we systematically analyzed the effects of actin or tubulin disruption on the distribution of proteins between membrane density phases. We used a proteomic screen to identify candidate proteins with altered submembrane location, followed by biochemical or cell biological characterization in Arabidopsis thaliana. We found that several proteins, such as plasma membrane ATPases, receptor kinases, or remorins resulted in a differential distribution between membrane density phases upon cytoskeletal disruption. Moreover, in most cases, contrasting effects were observed: Disruption of actin filaments largely led to a redistribution of proteins from DRM to DSM membrane fractions while disruption of tubulins resulted in general depletion of proteins from the membranes. We conclude that actin filaments are necessary for dynamic movement of proteins between different membrane phases and that microtubules are not necessarily important for formation of microdomains as such, but rather they may control the protein amount present in the membrane phases.Living cells need borders and molecular compartments for biochemical reactions and storage of metabolites. The plasma membrane therefore is a prerequisite for the evolution of different life forms. It consists of a phospholipid bilayer into which proteins and special lipid species such as sterols, sphingolipids, and glycolipids are inserted. The first complex model of plasma membrane was proposed in 1972 by Jonathan Singer and Garth Nicolson (1), replacing the concept of the plasma membrane as a strict protein–lipid–protein sandwich that was generally accepted until then. In Singer and Nicolson''s model, the cell membrane is a two-dimensionally oriented viscous solution in which the membrane constituents are orientated in the most thermodynamically favorable manner, hiding hydrophobic hydrocarbon chains inside the lipid bilayer and exposing polar and ionic groups to the aqueous phase. This fluid mosaic model also implied that membrane proteins as well as lipid components are distributed in a homogeneous lipid bilayer at long range, but they can form specific aggregates and phases at short range, which were also termed “lipid rafts” or membrane microdomains.Over the past 30 years, it has become evident that the plasma membrane is not such a homogeneous structure as it was initially proposed. We now know that the lipid bilayer is asymmetric (2) and that the free diffusion of membrane proteins is restricted by their interactions with intracellular and extracellular components (3). More recently, Simons and Ikonen suggested that large ordered phases, enriched with cholesterol and sphingolipids, emerge within the plasma membrane and that they function as platforms for enrichment of certain proteins while excluding others (4). This current membrane model suggests that the mixture of sterols and polar lipids within the plasma membrane can appear in two distinct phases: liquid disordered (L_d) and liquid ordered (L_o) phase (5). In this view, the so-called membrane microdomains are considered to be part of the L_o phase. Based on work on model membranes, it is suggested that lateral segregation of components into L_d and L_o phases occurs spontaneously (6) with the self-associating properties between sterols and highly saturated hydrocarbon chains of phopsho- and sphingolipids as the main driving force (7). Additionally, it is suggested that also specific lipid-protein and protein-protein interactions are essential for the formations of membrane domains as well as for stabilization of smaller nanodomains which subsequently may cause formation of larger platforms. In contrast to the animal cells, in plants these membrane microdomains seem to be rather immobile (8), possibly due to their attachment to the outer cell wall. More recently, it became obvious that membrane microdomains within a single cell are highly diverse and of different compositions (9). Generally, in the plant model, organisms'' plasma membrane microdomains turned out to be important in plant defense (10, 11), cell polarity (12, 13), and general signaling properties of the plasma membrane (14, 15).The cytoskeleton was identified as an essential cellular component with important roles in membrane topography, bordering, trafficking, and organelle movement (16). Single particle tracking in mammalian cells revealed that the transferrin receptor and macroglobulin receptor demonstrate normal Brownian diffusion but only within a specific membrane compartment (17). Two hypothetical models were proposed in order to explain this phenomenon (supplemental Fig. 1). Direct interactions between transmembrane proteins and cytoskeleton are suggested to creates a barrier, called “fence,” where cytosolic parts of transmembrane proteins collides with cytoskeletal components, limiting their diffusion to certain areas. These molecules can jump over the “fence” to a neighboring compartment, possibly due to the dynamic nature of the interaction of membrane proteins and cytoskeleton, where they are again temporally trapped (17). This phenomenon was recently described also in A. thaliana where the interplay between membrane microdomains and microtubules plays a role in secondary cell wall formation (reviewed in (18)). The second model assumes, additionally, that particular transmembrane proteins are anchored to and lined up along cytoskeleton and act as “pickets” to arrest free diffusion of other membrane components, including nontransmembrane proteins, within the enclosed compartment (19).For plants, the composition of these sterol-rich membranes phases was analyzed in several biochemical studies (14, 20–22). Thereby, low-density preparations of plasma membrane fractions after treatment with nonionic detergents (DRM¹ fractions) were considered as a biochemical representation enriched in cellular membrane ordered phases or microdomains. Proteomic studies in mammalian cells consistently reported that the DRM fraction is highly enriched with several cytoskeletal proteins such as actin, tubulin, myosin, dynamin, actinin, and supervillin (23–25). Additionally, the level of phosphatidylinositol 4,5-bisphosphate (PI(4,5)P2), a lipid connecting the plasma membrane to actin filaments, was also significantly elevated in DRM preparations (26). Treatment with microtubule and actin depolymerizing agent results in drastic loss of many signaling proteins from these DRM fractions prepared from adult rat cardiac myocytes (27) or human embryonic retinal cells (28).Based on this knowledge, we propose two hypothetical models for the relationship between cytoskeleton and membrane microdomains for plant cells: (i) Actin filaments and microtubules could be important in the membrane phase separation or formation of the membrane microdomains themselves. In this case, disruption of the cytoskeleton would cause a lack of phase segregation in the plasma membrane. (ii) The cytoskeleton is only important for the incorporation of specific protein into the sterol-enriched regions but not for the general formation of these phase separations. This view implies that phase separations or membrane microdomains would still be present after cytoskeleton disruption but their protein composition can be different. Another possible scenario is (iii) that cytoskeletal elements serve as anchors for membrane microdomains at particular position in the plasma membrane, so the absence of these anchors would cause the increased mobility of microdomains (supplemental Fig. 1).The primary aim of this study was to characterize the interplay between cytoskeletal components and different membrane phases (microdomains) in A. thaliana suspension cell cultures. To reach this goal, biochemical and proteomic approaches were combined with confocal microscopy and activity assays measuring the influence of actin or tubulin disruption on the composition, localization, and biochemical properties of the sterol-enriched membrane microdomains. Thereby, for biochemical analyses, low-density detergent-resistant membrane fractions are analyzed as containing cellular sterol-rich membrane compartments.     

Mass Spectrometry of Human Leukocyte Antigen Class I Peptidomes Reveals Strong Effects of Protein Abundance and Turnover on Antigen Presentation

HLA class I molecules reflect the health state of cells to cytotoxic T cells by presenting a repertoire of endogenously derived peptides. However, the extent to which the proteome shapes the peptidome is still largely unknown. Here we present a high-throughput mass-spectrometry-based workflow that allows stringent and accurate identification of thousands of such peptides and direct determination of binding motifs. Applying the workflow to seven cancer cell lines and primary cells, yielded more than 22,000 unique HLA peptides across different allelic binding specificities. By computing a score representing the HLA-I sampling density, we show a strong link between protein abundance and HLA-presentation (p < 0.0001). When analyzing overpresented proteins – those with at least fivefold higher density score than expected for their abundance – we noticed that they are degraded almost 3 h faster than similar but nonpresented proteins (top 20% abundance class; median half-life 20.8h versus 23.6h, p < 0.0001). This validates protein degradation as an important factor for HLA presentation. Ribosomal, mitochondrial respiratory chain, and nucleosomal proteins are particularly well presented. Taking a set of proteins associated with cancer, we compared the predicted immunogenicity of previously validated T-cell epitopes with other peptides from these proteins in our data set. The validated epitopes indeed tend to have higher immunogenic scores than the other detected HLA peptides. Remarkably, we identified five mutated peptides from a human colon cancer cell line, which have very recently been predicted to be HLA-I binders. Altogether, we demonstrate the usefulness of combining MS-analysis with immunogenesis prediction for identifying, ranking, and selecting peptides for therapeutic use.The highly polymorphic Human Leukocyte Antigen class I (HLA-I)¹ genes are encoded by three loci (HLA-A, B, and C) in a gene-rich region on chromosome 6. They produce up to six unique cell surface receptors that bind and present the so-called HLA class I peptidome, which consists of peptides derived from proteolysis of intracellular proteins. Their function is to reflect the health state of the body''s cells to CD8+ cytotoxic T cells. During thymic maturation T cells that react to self-peptides are eliminated (1), leaving T cells with the capability to recognize peptides from viruses and bacteria. This recognition is interpreted as a danger signal, leading to removal of infected cells. Transformed, preneoplastic and cancer cells also tend to display atypical self-peptides from mutated or excessively expressed self-proteins, known as tumor associated antigens (TAAs). Although HLA-I molecules are indispensable in prevention of disease, they also pose a substantial health problem by causing allergies (2), life-threatening autoimmune diseases (3), and the often fatal rejection of donor organs because of recognition of both major and minor histocompatibility antigens (4).Finding the rules for peptide generation and selection is regarded as the most important open issue in the field of HLA-I biology by leading experts (5). Although the antigen presentation pathway is well characterized, it is still unclear how basic properties such as protein abundance, turnover, and subcellular localization influence and shape the HLA-I presented peptidome (6–10). One expectation is that protein abundance should correlate with presentation (11), but previous studies have reported conflicting and contradicting results that mostly argue against a strong link (6, 7, 10, 12, 13). It is also not fully understood why only some HLA-sampled self-peptides from cancer antigens spontaneously activate T cells, whereas others do not.The majority of HLA-I peptides are derived from proteasomal degradation (5). Although the proteasome generates an excess of peptides, only some have the required sequence motifs for HLA binding, resulting in a selective sampling of available peptides (14). The presented peptides are typically nine amino acids long, but the length can range from eight to 15. The high degree of genetic variance of HLA-I receptors translates into allele-specific peptide-binding motifs defined by anchor positions, which are usually the second and the last positions in a peptide (15). Each cell has around 200,000 cell-surface-expressed HLA complexes, which bind about 10,000 unique peptide sequences (16). The affinity of a peptide toward the presenting HLA molecule does not correlate strongly with its immunogenicity, and neither does the number of presented HLA complexes (17). Instead, the most robust predictor of peptide immunogenicity appears to be the number of potential reactive T-cell clones (17–19).The longer the source protein, the higher the chances it will contain sequences that fit to a certain HLA motif, which would inflate the representation of longer proteins regardless of biological role. Furthermore, some HLA-I peptide sequences can be mapped to multiple proteins, potentially causing a problem in determining the number of observed HLA peptides per protein (13). This illustrates that careful accounting of the potentially and actually presented HLA peptides is important in properly delineating trends in propensity of peptide presentation.In cancer immunotherapy, T cells can be directed against tumors, based on the pattern of cancer associated HLA peptides. Therefore, there is great interest in determining the identity of these immunogenic peptides. Bioinformatic methods that attempt to predict HLA peptides of cancer proteins of interest are easily accessible and most commonly used. They typically score sequences with respect to proteasomal degradation, transport into the ER via the transporter associate with antigen processing (TAP) and binding to different HLA-I alleles (20). However, their precision success is modest (21, 22). The second approach is to directly capture the naturally presented peptides using mass spectrometry; however, this requires the relevant biological sample and sophisticated instruments and workflows, which have become accessible only recently for large-scale work (23–28). Although identification of cancer associated HLA peptides by MS, if performed stringently, establish the in vivo existence of the peptide, it still does not guarantee that it will elicit a potent T-cell response, which is required for further development into therapeutics (29). Therefore, like in the case of in silico predicted peptides, the immunogenicity of the peptides must in any case be tested empirically.We here present a rich and high confidence HLA-I peptidome, established by applying state-of-the-art mass-spectrometric techniques on a collection of seven cell lines. We investigate how abundance affects the propensity of proteins to be presented as measurable HLA peptides and whether or not there are specific protein classes that are overrepresented even independent of abundance. Likewise, we explore how to use in silico immunogenicity tools on the set of identified HLA peptides from cancer-associated proteins, with a view to select vaccine candidates.     

SBOL Visual: A Graphical Language for Genetic Designs

Synthetic Biology Open Language (SBOL) Visual is a graphical standard for genetic engineering. It consists of symbols representing DNA subsequences, including regulatory elements and DNA assembly features. These symbols can be used to draw illustrations for communication and instruction, and as image assets for computer-aided design. SBOL Visual is a community standard, freely available for personal, academic, and commercial use (Creative Commons CC0 license). We provide prototypical symbol images that have been used in scientific publications and software tools. We encourage users to use and modify them freely, and to join the SBOL Visual community: http://www.sbolstandard.org/visual.     

Enhanced survival of lethally irradiated adenosine A3 receptor knockout mice. A role for hematopoietic growth factors?

Adenosine A₃ receptor knockout (A₃AR KO) mice and their wild-type (WT) counterparts were compared from the point of view of their abilities to survive exposures to lethal doses of γ-radiation belonging to the range of radiation doses inducing the bone marrow acute radiation syndrome. Parameters of cumulative 30-day survival (experiment using a midlethal radiation dose) or cumulative 11-day survival (experiment using an absolutely lethal radiation dose), and of mean survival time were evaluated. The values of A₃AR KO mice always reflected their higher survival in comparison with WT ones, the P values being above the limit for statistical significance after the midlethal radiation dose and standing for statistical significance after the absolutely lethal radiation dose. This finding was considered surprising, taking into account the previously obtained findings on defects in numbers and functional properties of peripheral blood cells in A₃AR KO mice. Therefore, previous hematological analyses of A₃AR KO mice were supplemented in the present studies with determination of serum levels of the granulocyte colony-stimulating factor, erythropoietin, and thrombopoietin. Though distinct differences in these parameters were observed between A₃AR KO and WT mice, none of them could explain the relatively high postirradiation survival of A₃AR KO mice. Further studies on these mice comprising also those on other than hemopoietic tissues and organs can help to clarify their relative radioresistance.