Cluster Abundance Research Articles

Single cell study of cellular diversity and mutual communication in chronic heart failure and drug repositioning

Non-cardiomyocytes (non-CMs) play an important role in the process of cardiac remodeling of chronic heart failure. The mechanism of non-CMs transit and interact with each other remains largely unknown. Here, we try to characterize the cellular landscape of non-CMs in mice with chronic heart failure by using single-cell RNA sequencing (scRNA-seq) and provide potential therapeutic hunts. Cellular and molecular analysis revealed that the most affected cellular types are mainly fibroblasts and endothelial cells. Specially, Fib_0 cluster, the most abundant cluster in fibroblasts, was the only increased one, enriched for collagen synthesis genes such as Adamts4 and Crem, which might be responsible for the fibrosis in cardiac remodeling. End_0 cluster in endothelial cells was also the most abundant and only increased one, which has an effect of blood vessel morphogenesis. Cell communication further confirmed that fibroblasts and endothelial cells are the driving hubs in chronic heart failure. Furthermore, using fibroblasts and endothelial cells as the entry point of CMap technology, histone deacetylation (HDAC) inhibitors and HSP inhibitors were identified as potential anti-heart failure new drugs, which should be evaluated in the future. The combined application of scRNA-seq and CMap might be an effective way to achieve drug repositioning.

Waning efficacy of COVID-19 vaccination at six months in patients (pts) with genitourinary malignancies.

185 Background: Short-term effectiveness of COVID-19 vaccination is widely demonstrated, but the emerging real-world data suggest that immunity may wane over-time (Levin et al. NEJM 2021). Herein we aimed to explore the long-term efficacy of the COVID-19 vaccination among pts with genitourinary cancer. Methods: In this study, pts with genitourinary malignancies (prostate, kidney, and bladder cancers) who had not received COVID-19 vaccination were included. Blood samples were collected prior to and after one dose of either an adenovirus- or mRNA-based COVID-19 vaccine at the 2- and 6-month timepoints. Additional blood samples from pts receiving systemic treatment were collected at 3 consecutive therapy cycles following vaccination. Antibody titers were assessed using the SCoV-2 Detect IgG ELISA assay and results were reported as immune status ratios (ISR). T-cell receptor (TCR) repertoire sequencing was performed using the MiXCR software (MiLabs) and custom strips were used to assess TCR abundance and homology clustering. Results: A total of 183 pts were enrolled, and 136 pts provided baseline blood samples. Among these, 59 (8:51 F:M) provided samples for both the 2- and 6-month timepoints by the 10/6/2021 data cut-off. In this subset of pts, median age was 66 (range 48-85) and 33 (55.9%), 25 (42.4%), and 1 (1.7%) pts had prostate, kidney, and bladder cancer, respectively. A majority of the pts (93.2%) were on systemic treatment with 23.7% on immune checkpoint inhibitors, 18.6% on targeted agents, and 1.7% on chemotherapy. The most commonly administered vaccines were BNT162b2 (61.0%) followed by mRNA-1273 (37.3%) and Ad26.COV2.S (1.7%). The mean (±standard deviation) ISR values at baseline and 2 months were 0.68±1.59 and 6.62±1.75, respectively. At the 6-month timepoint, mean ISR was 5.46±1.61; this was significantly lower than the 2-month antibody titers (p < 0.0001), and reflects a reduction of 17.6%. Further data on TCR sequencing will be presented at the meeting. Conclusions: To our knowledge, this is the first data assessing the long-term serologic outcomes of COVID-19 vaccination in pts with cancer. Our data suggest waning immunity over time in cancer pts. Strategies to prolong host immunity against SARS COV-2 (e.g., booster vaccination) are likely warranted.

Likelihood-free Forward Modeling for Cluster Weak Lensing and Cosmology

Abstract Likelihood-free inference provides a rigorous approach to performing Bayesian analysis using forward simulations only. The main advantage of likelihood-free methods is their ability to account for complex physical processes and observational effects in forward simulations. Here we explore the potential of likelihood-free forward modeling for Bayesian cosmological inference using the redshift evolution of the cluster abundance combined with weak-lensing mass calibration. We use two complementary likelihood-free methods, namely Approximate Bayesian Computation (ABC) and Density-Estimation Likelihood-Free Inference (DELFI), to develop an analysis procedure for the inference of the cosmological parameters (Ωm, σ 8) and the mass scale of the survey sample. Adopting an eROSITA-like selection function and a 10% scatter in the observable–mass relation in a flat ΛCDM cosmology with Ωm = 0.286 and σ 8 = 0.82, we create a synthetic catalog of observable-selected Navarro–Frenk–White clusters in a survey area of 50 deg2. The stacked tangential shear profile and the number counts in redshift bins are used as summary statistics for both methods. By performing a series of forward simulations, we obtain convergent solutions for the posterior distribution from both methods. We find that ABC recovers broader posteriors than DELFI, especially for the Ωm parameter. For a weak-lensing survey with a source density of n g = 20 arcmin−2, we obtain posterior constraints on S 8 = σ 8 Ω m / 0.3 0.3 of 0.836 ± 0.032 and 0.810 ± 0.019 from ABC and DELFI, respectively. The analysis framework developed in this study will be particularly powerful for cosmological inference with ongoing cluster cosmology programs, such as the XMM–XXL survey and the eROSITA all-sky survey, in combination with wide-field weak-lensing surveys.

Comparative Genomics Reveal the Animal-Associated Features of the Acanthopleuribacteraceae Bacteria, and Description of Sulfidibacter corallicola gen. nov., sp., nov.

Members of the phylum Acidobacteria are ubiquitous in various environments. Soil acidobacteria have been reported to present a variety of strategies for their success in terrestrial environments. However, owing to lack of pure culture, information on animal-associated acidobacteria are limited, except for those obtained from 16S rRNA genes. To date, only two acidobacteria have been isolated from animals, namely strain M133T obtained from coral Porites lutea and Acanthopleuribacter pedis KCTC 12899T isolated from chiton. Genomics and physiological characteristics of strain M133T and A. pedis KCTC 12899T were compared with 19 other isolates (one strain from each genus) in the phylum Acidobacteria. The results revealed that strain M133T represents a new species in a new genus in the family Acanthopleuribacteraceae. To date, these two Acanthopleuribacteraceae isolates have the largest genomes (10.85–11.79 Mb) in the phylum Acidobacteria. Horizontal gene transfer and gene duplication influenced the structure and plasticity of these large genomes. Dissimilatory nitrate reduction and abundant secondary metabolite biosynthetic gene clusters (including eicosapentaenoic acid de novo biosynthesis) are two distinct features of the Acanthopleuribacteraceae bacteria in the phylum Acidobacteria. The absence of glycoside hydrolases involved in plant polysaccharide degradation and presence of animal disease-related peptidases indicate that these bacteria have evolved to adapt to the animal hosts. In addition to low- and high-affinity respiratory oxygen reductases, enzymes for nitrate to nitrogen, and sulfhydrogenase were also detected in strain M133T, suggesting the capacity and flexibility to grow in aerobic and anaerobic environments. This study highlighted the differences in genome structure, carbohydrate and protein utilization, respiration, and secondary metabolism between animal-associated acidobacteria and other acidobacteria, especially the soil acidobacteria, displaying flexibility and versatility of the animal-associated acidobacteria in environmental adaption.

Strong conformity and assembly bias: towards a physical understanding of the galaxy–halo connection in SDSS clusters

ABSTRACT Understanding the physical connection between cluster galaxies and massive haloes is key to mitigating systematic uncertainties in next-generation cluster cosmology. We develop a novel method to infer the level of conformity between the stellar mass of the bright central galaxies (BCGs) $M_*^{\texttt {BCG}}$ and the satellite richness λ, defined as their correlation coefficient ρcc at fixed halo mass, using the abundance and weak lensing of SDSS clusters as functions of $M_*^{\texttt {BCG}}$ and λ. We detect a halo mass-dependent conformity as ρcc = 0.60 + 0.08ln (Mh/3 × 1014h−1M⊙). The strong conformity successfully resolves the ‘halo mass equality’ conundrum discovered in Zu et al. – when split by $M_*^{\texttt {BCG}}$ at fixed λ, the low- and high-$M_*^{\texttt {BCG}}$ clusters have the same average halo mass despite having a 0.34-dex discrepancy in average $M_*^{\texttt {BCG}}$. On top of the best-fitting conformity model, we develop a cluster assembly bias (AB) prescription calibrated against the CosmicGrowth simulation and build a conformity + AB model for the cluster weak lensing measurements. Our model predicts that with an ${\sim }20{{\ \rm per\ cent}}$ lower halo concentration c, the low-$M_*^{\texttt {BCG}}$ clusters are ${\sim }10{{\ \rm per\ cent}}$ more biased than the high-$M_*^{\texttt {BCG}}$ systems, in good agreement with the observations. We also show that the observed conformity and assembly bias are unlikely due to projection effects. Finally, we build a toy model to argue that while the early-time BCG–halo co-evolution drives the $M_*^{\texttt {BCG}}$-c correlation, the late-time dry merger-induced BCG growth naturally produces the $M_*^{\texttt {BCG}}$-λ conformity despite the well-known anticorrelation between λ and c. Our method paves the path towards simultaneously constraining cosmology and cluster formation with future cluster surveys.

Nutrient Availability Shifts the Biosynthetic Potential of Soil-Derived Microbial Communities.

Secondary metabolites produced by microorganisms are the main source of antimicrobials and other pharmaceutical drugs. Soil microbes have been the primary discovery source for these secondary metabolites, often producing complex organic compounds with specific biological activities. Research suggests that secondary metabolism broadly shapes microbial ecological interactions, but little is known about the factors that shape the abundance, distribution, and diversity of biosynthetic gene clusters in the context of microbial communities. In this study, we investigate the role of nutrient availability on the abundance of biosynthetic gene clusters in soil-derived microbial consortia. Soil microbial consortia enriched in high sugar medium (150mg/L of glucose and 200mg/L of trehalose) had more biosynthetic gene clusters and higher inhibitory activity than those enriched in low sugar medium (15mg/L of glucose + 20mg/L of trehalose). Our results demonstrate that experimental microbial communities are a promising tool to study the ecology of specialized metabolites.

Phenotypic analysis of the pediatric immune response to SARS-CoV-2 by flow cytometry.

Pediatric SARS‐CoV‐2 infection is often mild or asymptomatic and the immune responses of children are understudied compared to adults. Here, we present and evaluate the performance of a two‐panel (16‐ and 17 parameter) flow cytometry‐based approach for immune phenotypic analysis of cryopreserved PBMC samples from children after SARS‐CoV‐2 infection. The panels were optimized based on previous SARS‐CoV‐2 related studies for the pediatric immune system. PBMC samples from seven SARS‐CoV‐2 seropositive children from early 2020 and five age‐matched healthy controls were stained for analysis of T‐cells (panel T), B and innate immune cells (panel B). Performance of the panels was evaluated in two parallel approaches, namely classical manual gating of known subpopulations and unbiased clustering using the R‐based algorithm PhenoGraph. Using manual gating we clearly identified 14 predefined subpopulations of interest for panel T and 19 populations in panel B in low‐volume pediatric samples. PhenoGraph found 18 clusters within the T‐cell panel and 21 clusters within the innate and B‐cell panel that could be unmistakably annotated. Combining the data of the two panels and analysis approaches, we found expected differentially abundant clusters in SARS‐CoV‐2 seropositive children compared to healthy controls, underscoring the value of these two panels for the analysis of immune response to SARS‐CoV‐2. We established a two‐panel flow cytometry approach that can be used with limited amounts of cryopreserved pediatric samples. Our workflow allowed for a rapid, comprehensive, and robust pediatric immune phenotyping with comparable performance in manual gating and unbiased clustering. These panels may be adapted for large multi‐center cohort studies to investigate the pediatric immune response to emerging virus variants in the ongoing and future pandemics.

Microbiota in Gingival Crevicular Fluid Before and After Mechanical Debridement With Antimicrobial Photodynamic Therapy in Peri-Implantitis.

ObjectivesThis study aims to compare the microbiota of gingival crevicular fluid (GCF) before and after mechanical debridement (MD) with antimicrobial photodynamic therapy (aPDT) and determine the core efficient microbiota in peri-implantitis after treatment.MethodsWe recruited 9 patients (14 implants) treated with MD+aPDT for peri-implantitis at our center from February 1, 2018, to February 1, 2019. GCF was collected using filter paper strip before and after the treatment. The bacterial 16S rRNA was amplified and sequenced using an Illumina MiSeq platform to characterize the GCF. Bioinformatics and statistical analyses were performed using QIIME2 and R.ResultsA total of 4,110,861 high-quality sequences were obtained from GCF samples. Based on the reference database, 1,120 amplicon sequence variants (ASVs) were finally harvested. Principal coordinates analysis indicated significant differences in the bacterial community structure between the 180 days after-treatment group and pre-treatment group. Difference analysis and least discriminant analysis showed that the differences were mainly reflected in non-dominant bacteria between these two groups. The non-dominant genera with significantly different distribution between the 180 days after-treatment group and the pre-treatment group included Lactobacillus, Pedobacter, Bulleidia, Centipeda, Desulfovibrio, Ochrobactrum, Staphylococcus, Microbacterium, Brevundimonas, Desulfobulbus, and Parvimonas. Moreover, a total of 29 predictive functional categories at KEGG level 2 were identified. The significant difference pathways at KEGG level 2 between after-treatment and pre-treatment were concentrated in infectious disease-related pathways.ConclusionsPatients with peri-implantitis have significant changes in the low-abundance bacteria of the GCF before and after MD+aPDT. MD+aPDT may change the composition of GCF microbiota by increasing the abundance of cluster 1 (beneficial) and decreasing that of cluster 4 (harmful), which may decrease metabolic response to infection and thus improve peri-implantitis.

Homochiral or Heterochiral: A Systematic Study of Threonine Clusters Using a FT ICR Mass Spectrometer

The strong chiral preferences of some magic clusters of amino acids have attracted continually increasing interests due to their unique structures, properties and possible roles in homochirogenesis. However, how chirality can influence the generation and stability of cluster ions in a wild range of cluster sizes is still unknown for most amino acids. In this study, the preference for threonine clusters to form homochiral and heterochiral complex ions has been investigated by electrospray ionization (ESI) mass spectrometry. Abundant cluster [Thrn+mH]m+ ions (7 ≤ n ≤ 78, 1 ≤ m ≤ 5) have been observed for both samples of enantiopure (100% L) and racemic (50:50 L:D) threonine solutions. Further analyses of the spectra show that the [Thr14+2H]2+ ion is characterized by its most outstanding homochiral preference, and [Thr7+H]+ and [Thr8+H]+ ions also clearly exhibit their homochiral preferences. Although most of the triply charged clusters (20 ≤ n ≤ 36) are characterized by heterochiral preferences, the quadruply charged [Thrn+4H]4+ ions (40 ≤ n ≤ 59) have no obvious chiral preference in general. On the other hand, a weak homochiral preference exists for most of the quintuply charged ions observed in the experiment.

Tracing Birth Properties of Stars with Abundance Clustering

Abstract To understand the formation and evolution of the Milky Way disk, we must connect its current properties to its past. We explore hydrodynamical cosmological simulations to investigate how the chemical abundances of stars might be linked to their origins. Using hierarchical clustering of abundance measurements in two Milky Way–like simulations with distributed and steady star formation histories, we find that groups of chemically similar stars comprise different groups in birth place (R birth) and time (age). Simulating observational abundance errors (0.05 dex), we find that to trace distinct groups of (R birth, age) requires a large vector of abundances. Using 15 element abundances (Fe, O, Mg, S, Si, C, P, Mn, Ne, Al, N, V, Ba, Cr, Co), up to ≈10 groups can be defined with ≈25% overlap in (R birth, age). We build a simple model to show that in the context of these simulations, it is possible to infer a star’s age and R birth from abundances with precisions of ±0.06 Gyr and ±1.17 kpc, respectively. We find that abundance clustering is ineffective for a third simulation, where low-α stars form distributed in the disk and early high-α stars form more rapidly in clumps that sink toward the Galactic center as their constituent stars evolve to enrich the interstellar medium. However, this formation path leads to large age dispersions across the [α/Fe]–[Fe/H] plane, which is inconsistent with the Milky Way’s observed properties. We conclude that abundance clustering is a promising approach toward charting the history of our Galaxy.

Comparative genomics and phylogenomics of the Ralstonia solanacearum Moko ecotype and its symptomatological variants.

Banana tree bacterial wilt is caused by the Ralstonia solanacearum Moko ecotype. These strains vary in their symptom progression in banana, and are classified as typical Moko variants (phylotype IIA and IIB strains from across Central and South America), Bugtok variant (Philippines), and Sergipe facies (the states of Sergipe and Alagoas, Brazil). This study used comparative genomic and phylogenomic approaches to identify a correlation between the symptom progression of the Moko ecotypes based on the analysis of 23 available genomes. Average nucleotide identity and in silico DNA-DNA hybridization revealed a high correlation (>96% and >78%, respectively) between the genomes of Moko variants. Pan-genome analysis identified 21.3% of inheritable regions between representatives of the typical Moko and Sergipe facies variants, which could be traced to an abundance of exclusive homolog clusters. Moko ecotype genomes shared 1,951 orthologous genes, but representatives with typical symptoms did not display unique orthologues. Moreover, Bugtok disease and Sergipe facies genomes did not share any unique genes, suggesting convergent evolution to a shared symptom progression. Overall, genomic and phylogenomic analyses were insufficient to differentiate the Moko variants based on symptom progression.

Crystalline-Induced Luminescence of Carbon Dots for the WLED and Fingerprint Recognition

It is profound to obtain simply carbon nanodots (CDots)-based solid-state fluorescent in photoelectric field. However, synthesizing such material is still faced with a challenge due to the serious quenching effect. Here, a microwave pyrolytic route is reported to rapidly synthesize sulfur (S) and nitrogen (N) co-doping CDots wrapped by the crystalline phthalate (CDots/PA). The results show that CDots/PA presents needle-like crystal to coat abundant cluster of CDots inside, after fully optimizing the preparation conditions. The solid state CDots/PA emits a dazzling fluorescence with the fluorescence quantum yield (FLQY) [Formula: see text]%, which is attributed to the formation of barrier from the crystal to avoid the aggregation of CDots. In addition, due to the co-doping of S and N elements, it also presents an orange–red light with a multipeak feature. The excellent photoluminescence (PL) property of CDots/PA gives it an advantage to fabricate light emitting diode (LED)/white light emitting diode (WLED) devices, which achieves an orange light with the correlated color temperature [Formula: see text][Formula: see text]K, color rendering index [Formula: see text] and a warm-white light with the CCT [Formula: see text] 3700[Formula: see text]K, CRI [Formula: see text] 82 at the Commission Internationale de L’Eclairage [Formula: see text], 0.40) combined with the commercial phosphors. Moreover, CDots/PA also shows an excellent recognition capacity in the application of detecting latent fingerprints, endowing such fluorescent nanomaterials broad prospect in the photoelectric industry.

Structure-activity relationship of Pt catalyst on engineered ceria-alumina support for CO oxidation

In heterogeneous catalysis, the promotion of low temperature activity and enhancement of thermal stability simultaneously especially for precious metal catalysts is always highly demanded but very challenging. Herein we report a novel Pt catalyst on ceria-alumina (CeO2/Al2O3) support (Pt/CA-T) engineered by a two-step ceria deposition strategy, exhibiting superior thermal stability and low-temperature carbon monoxide (CO) oxidation activity after activation. Pt single sites anchored to engineered CeO2 edge sites are much more stable than that to CeO2 (111) surface, and such stable single sites can be transformed into highly active Pt clusters for efficient low-temperature CO oxidation. Active site identification indicates that the CO oxidation activity of different Pt sites follows such sequence: Pt cluster step sites ≈ Pt cluster terrace sites > Pt cluster corner sites ≫ Pt single sites on CeO2. The excellent low temperature activity of activated Pt/CA-T catalyst for CO oxidation is associated with its abundant Pt cluster step and terrace sites as well as rich Pt-CeO2 interfaces, which facilitate the adsorption of active CO species and superior oxygen activation/transfer ability. The present study provides new insights into the structure–activity relationship of Pt-CeO2-Al2O3 catalyst, which can also guide the preparation of other highly robust supported catalysts for important industrial applications.

Modulation of gut microbiota by Mantequilla and Melipona honeys decrease low-grade inflammation caused by high fructose corn syrup or sucrose in rats

Several studies have shown that consumption of honey is associated with various health benefits. However, there is scarce evidence on whether honeys modify the intestinal microbiota by preventing the inflammatory response in the host. Therefore, the aim of the present work was to study the effect of Melipona (Mel) and Mantequilla (Mtq) honeys, which contain different bioactive compounds and antioxidant capacity on gut microbiota and metabolic consequences in comparison with other sweeteners, in particular sucrose (S) and high fructose corn syrup (HFCS) in rats. The results of the present work showed that both honeys have polyphenols, flavonoids, antioxidant and bactericidal activities. Rats fed with both honeys gained less weight and body fat by increasing energy expenditure compared to S or HFCS and increased gene expression of antioxidant enzymes mediated by the transcription factor Nrf2. Analysis of the gut microbiota showed that consumption of both honeys modified the beta-diversity compared to those fed S or HFCS resulting in increased abundance of a specific cluster of bacteria of the Clostridium genus particularly Coprococcus eutactus, Defluviitalea saccharophila, Ruminicoccus gnavus and Ruminicoccus flavefaciens. As a result of the changes in the gut microbiota, there was a decrease in LPS- and TLR4-mediated low-grade inflammation and an increase in sIgA. Consumption of both honeys prevented glucose intolerance and increased adipocyte size compared to S or HFCS. In conclusion, consumption of MtqH or MelH can reduce metabolic endotoxemia by modifying the gut microbiota to prevent glucose intolerance.

Responses of bacterial taxonomic attributes to mercury species in rhizosphere paddy soil under natural sulphur-rich biochar amendment

Biochar and sulphur (S) are important factors regulating the level, speciation and transformation of mercury (Hg), leading to alterations in the assemblage of the soil microbial community. However, variations in the taxonomic attributes of the rhizosphere soil bacterial community arising from the Hg speciation in paddy soil, amended with natural S-rich biochar (NSBC) derived from the pyrolysis of S-rich oilseed rape straw, remain unclear. Herein, a rice pot experiment was conducted. Hg-polluted paddy soils were amended with NSBC and low-S biochar (LSBC) to evaluate the role of Hg chemical form affected by NSBC in regulating the taxonomic attributes of rhizosphere soil, including microbial abundance, composition, and ecological clusters within the co-occurrence network of microbial communities. Results showed that microbial abundance was higher in soils with lower Hg levels, and mean increases of 149 observed operational taxonomic units (OTUs) and 238 predicted OTUs (Chao 1) were observed, with a 1 mg kg−1 decrease in the total Hg (T-Hg) content. Among the 13 predictor variables, the T-Hg content was the strongest and most consistent predictor of the bacterial taxonomic attributes. This finding may be attributed to the fact that the drastic reduction in T-Hg and Hg bioavailability induced by NSBC results in the decrease of Hg stress on the soil microbiome. Moreover, NSBC amendment shifted the ecological clusters toward the amelioration of Hg pollution.

Munc18-dependent and -independent clustering of syntaxin in the plasma membrane of cultured endocrine cells

Syntaxin helps in catalyzing membrane fusion during exocytosis. It also forms clusters in the plasma membrane, where both its transmembrane and SNARE domains are thought to homo-oligomerize. To study syntaxin clustering in live PC12 cells, we labeled granules with neuropeptide-Y-mCherry and syntaxin clusters with syntaxin-1a green fluorescent protein (GFP). Abundant clusters appeared under total internal reflection (TIRF) illumination, and some of them associated with granules ("on-granule clusters"). Syntaxin-1a-GFP or its mutants were expressed at low levels and competed with an excess of endogenous syntaxin for inclusion into clusters. On-granule inclusion was diminished by mutations known to inhibit binding to Munc18-1 invitro. Knock-down of Munc18-1 revealed Munc18-dependent and -independent on-granule clustering. Clustering was inhibited by mutations expected to break salt bridges between syntaxin's Hb and SNARE domains and was rescued by additional mutations expected to restore them. Most likely, syntaxin is in a closed conformation when it clusters on granules, and its SNARE and Hb domains approach to within atomic distances. Pairwise replacements of Munc18-contacting residues with alanines had only modest effects, except that the pair R114A/I115A essentially abolished on-granule clustering. In summary, an on-granule cluster arises from the specific interaction between a granule and a dense cluster of syntaxin-Munc18-1 complexes. Off-granule clusters, by contrast, were resistant to even the strongest mutations we tried and required neither Munc18-1 nor the presence of a SNARE domain. They may well form through the nonstoichiometric interactions with membrane lipids that others have observed in cell-free systems.

Deciphering Cryptic Multi-Stage Crystal-Melt Separation during Construction of the Tonglu Volcanic–Plutonic Complex, SE China

Abstract Revealing the origin of explosive eruptions of silica-rich magma is of paramount importance for understanding the evolution of continental crust and volcanic hazards. However, it remains controversial as to how the erupted magmas form and how they connect with plutonic realms, partly owing to the rarity and the obscurity of the ‘cumulate’ complementary to such eruptions of silica-rich magmas. Here the issues are explored by comparing the volcanic rocks (rhyodacite + rhyolite) and their associated subvolcanic intrusions (monzodiorite + monzonite + quartz monzonite) within Tonglu volcanic basin (SE, China). The Tonglu plutonic and volcanic units are consistent with each other in age (~130 Ma), space and source materials (e.g. Sr-Nd-Hf isotopes), strongly suggesting that they are cogenetic. Mineral mapping demonstrates that abundant plagioclase clusters (and chains in monzodiorite) occur in plutonic units, implying the processes of crystal gathering and/or accumulation. Rhyolite-MELTS modeling, and geochemical studies coupled with textural observations suggest that the Tonglu volcanic and plutonic rocks represent the residual melts and the complementary cumulate residues, respectively. The compositional and mineral variations in the plutonic rocks can be explained by two-stage, low-pressure crystal-melt separation of a dacitic magma. The monzodiorite represents the first-stage cumulate that was unsaturated in zircon and biotite/K-feldspar on the basis of low Zr and Ba concentrations and the occurrence of these two phases in the interstices between plagioclase and amphibole. The monzonite and quartz monzonite are the second-stage cumulates after saturation of zircon and biotite/K-feldspar as indicated by abrupt increases in Zr and Ba concentrations and zircon inclusions within euhedral biotite. Mass balance calculation and textural estimation indicate that the cumulates actually are a mixture of crystals and melt, containing ~40 vol% interstitial melt. Interstitial zircons from monzodiorite, largely crystallized from trapped melt, show contrasting trace-element trends (e.g. Ti, Zr/Hf, Eu/Eu*, Gd/Yb) to those of the other rock types (i.e. monzonite, quartz monzonite, rhyodacite and rhyolite), consistent with fractional crystallization (FC). We interpret these divergences to heating-induced partial dissolution of a basal crystal framework of monzodiorite due to recharges of hot mafic magmas, but the limited dissolution fails to rejuvenate the crystal mush. The Tonglu volcanic–plutonic system demonstrates that compositional distillation via crystal–liquid separation within the upper crust is an effective mechanism by which a potentially eruptible rhyolitic cap can be generated. Recharges of hot mafic magmas at shallow crustal levels may prolong the lifespan of granitic magma reservoirs. A combined study including texture, geochemistry, thermodynamic modeling and mass-balance calculations can help us identify the fingerprints of cumulates in felsic magma systems and thus track the processes responsible for producing large eruptions of silica-rich magmas.

Demonstrating the Relationship between the Colour and Heavy Element Abundance of Globular Clusters

Extragalactic globular clusters are viewed as single points of light, as the density of their stars make them individually indiscernible. The aim of this study was to find a correlation between the integrated colour of globular star clusters and the metallicity of their individual stars. This was accomplished by using the colour magnitudes and metallicities of individual stars from 11 cluster models based on work from Girardi et al. Integrated colour-metallicity diagrams found the relationship between clusters to be an increasing two-step linear function for each of the six colour ratios examined. To validate the findings, the F475W-F814W relationship was applied to integrated colour data of 5557 clusters from the real galaxy NGC 6166. Histograms taken of the colour and metallicity both showed non-gaussian distributions. Bimodal gaussian fits were applied to both and found that each exhibited the presence of subpopulations: one metal-poor (μ = -1.59), and one metal-rich (μ = -0.41). This suggests the occurrence of galactic mergers with NGC 6166 to create the population structure of clusters that is currently seen.

Gut microbiome drives individual memory variation in bumblebees

The potential of the gut microbiome as a driver of individual cognitive differences in natural populations of animals remains unexplored. Here, using metagenomic sequencing of individual bumblebee hindguts, we find a positive correlation between the abundance of Lactobacillus Firm-5 cluster and memory retention on a visual discrimination task. Supplementation with the Firm-5 species Lactobacillus apis, but not other non-Firm-5 bacterial species, enhances bees’ memory. Untargeted metabolomics after L. apis supplementation show increased LPA (14:0) glycerophospholipid in the haemolymph. Oral administration of the LPA increases long-term memory significantly. Based on our findings and metagenomic/metabolomic analyses, we propose a molecular pathway for this gut-brain interaction. Our results provide insights into proximate and ultimate causes of cognitive differences in natural bumblebee populations.

Constraints on f(R) and normal-branch Dvali-Gabadadze-Porrati modified gravity model parameters with cluster abundances and galaxy clustering

We present forecasted cosmological constraints from combined measurements of galaxy cluster abundances from the Simons Observatory and galaxy clustering from a DESI-like experiment on two well-studied modified gravity models, the chameleon-screened $f(R)$ Hu-Sawicki model and the nDGP braneworld Vainshtein model. A Fisher analysis is conducted using $\sigma_8$ constraints derived from thermal Sunyaev-Zel'dovich (tSZ) selected galaxy clusters, as well as linear and mildly non-linear redshift-space 2-point galaxy correlation functions. We find that the cluster abundances drive the constraints on the nDGP model while $f(R)$ constraints are led by galaxy clustering. The two tracers of the cosmological gravitational field are found to be complementary, and their combination significantly improves constraints on the $f(R)$ in particular in comparison to each individual tracer alone. For a fiducial model of $f(R)$ with $\text{log}_{10}(f_{R0})=-6$ and $n=1$ we find combined constraints of $\sigma(\text{log}_{10}(f_{R0}))=0.48$ and $\sigma(n)=2.3$, while for the nDGP model with $n_{\text{nDGP}}=1$ we find $\sigma(n_{\text{nDGP}})=0.087$. Around a fiducial General Relativity (GR) model, we find a $95\%$ confidence upper limit on $f(R)$ of $f_{R0}\leq5.68\times 10^{-7}$. Our results present the exciting potential to utilize upcoming galaxy and CMB survey data available in the near future to discern and/or constrain cosmic deviations from GR.