Miracle-dz/UniFAR-FTUs huggingface dataset:
Filament dynamics driven by ATP hydrolysis modulates membrane binding of the bacterial actin MreB

MreB, the bacterial ancestor of eukaryotic actin, is responsible for shape in most rod-shaped bacteria. While the eukaryotic actin utilizes ATP hydrolysis to drive filament treadmilling, the relevance of nucleotide-driven polymerization dynamics for MreB function is unclear. Here, we report mechanistic insights into the interplay between nucleotide-binding, ATP hydrolysis and membrane-binding of Spiroplasma citri MreB5 (ScMreB5). Antiparallel double protofilament assembly of ScMreB5WT with ATP, ADP or AMPPNP and an ATPase deficient mutant ScMreB5E134A demonstrate that the filaments assemble independent of ATP hydrolysis. However, capture of the filament dynamics revealed that efficient filament formation, bundling through lateral interactions and filament disassembly are affected in ScMreB5E134A. Hence, the catalytic glutamate (Glu134 in ScMreB5) plays a dual role – it functions as a switch by sensing the ATP-bound state for filament assembly, and by assisting hydrolysis for triggering disassembly. Glu134 mutation also exhibits an allosteric effect on membrane binding, as observed from the reduced liposome binding compared to that of the wild type. Thus, ATP hydrolysis can modulate filament length and bundling, and consequently the orientation of MreB filaments on the cell membrane depending on the curvature. Binding of ScMreB5 with liposomes is mediated by surface charge-based interactions, demonstrating paralog and organism specific features for MreB function. We conclude that the conserved ATP-dependent polymerization and disassembly upon ATP hydrolysis has been repurposed for modulating curvature-dependent organization of filaments on the membrane.
Multi-omics approach identifies germline regulatory variants associated with hematopoietic malignancies in retriever dog breeds

Histiocytic sarcoma is an aggressive hematopoietic malignancy of mature tissue histiocytes with a poorly understood etiology in humans. A histologically and clinically similar counterpart affects flat-coated retrievers (FCRs) at unusually high frequency, with 20% developing the lethal disease. The similar clinical presentation combined with the closed population structure of dogs, leading to high genetic homogeneity, makes dogs an excellent model for genetic studies of cancer susceptibility. To determine the genetic risk factors underlying histiocytic sarcoma in FCRs, we conducted multiple genome-wide association studies (GWASs), identifying two loci that confer significant risk on canine chromosomes (CFA) 5 (Pwald=4.83×10−9) and 19 (Pwald=2.25×10−7). We subsequently undertook a multi-omics approach that has been largely unexplored in the canine model to interrogate these regions, generating whole genome, transcriptome, and chromatin immunoprecipitation sequencing. These data highlight the PI3K pathway gene PIK3R6 on CFA5, and proximal candidate regulatory variants that are strongly associated with histiocytic sarcoma and predicted to impact transcription factor binding. The CFA5 association colocalizes with susceptibility loci for two hematopoietic malignancies, hemangiosarcoma and B-cell lymphoma, in the closely related golden retriever breed, revealing the risk contribution this single locus makes to multiple hematological cancers. By comparison, the CFA19 locus is unique to the FCR and harbors risk alleles associated with upregulation of TNFAIP6, which itself affects cell migration and metastasis. Together, these loci explain ~35% of disease risk, an exceptionally high value that demonstrates the advantages of domestic dogs for complex trait mapping and genetic studies of cancer susceptibility.
Modelling the impact of magnesium ions concentration on the folding of the SAM-II riboswitch

Riboswitches are regulatory elements present in bacterial messenger RNA acting as sensors of small molecules and consequently playing a vital role in bacterial gene regulation. The SAM-II riboswitch is a class of riboswitches, that recognizes S-adenosyl methionine. It has been previously illustrated that the presence of Mg2+ ions stabilizes the pre-existing minor state of the riboswitch, which is structurally characterised by having a nucleated pseudoknot, leading to the increase of its probability. In this study, an analytical equilibrium model is developed to describe the impact of Mg2+ ions concentration on the folding of the SAM-II riboswitch, linking RNA folding and tertiary interactions energetics to ligand binding, and, hence enabling quantitative predictions. The method was used to study the role of the P1 helix sequence in determining the fraction of binding competent conformers of the SAM-II riboswitch, by simulating the Mg2+ titration curves of various mutants. Graphical abstract
Discovery of bactericides as an acute mitochondrial membrane damage inducer

Mitochondria evolved from endosymbiotic bacteria to become essential organelles of eukaryotic cells. The defined lipid composition and structure of mitochondrial membranes are critical for the proper functioning of mitochondria. However, mitochondrial stress responses that help maintain the integrity of mitochondrial membranes against internal or external insults are not well understood. One reason for this lack of insight is the absence of efficient tools to specifically damage mitochondrial membranes. Here, through a compound screen originally aimed at identifying inhibitors of the inner mitochondrial membrane (IMM)-resident protease OMA1, we found that two bis-biguanide compounds, Chlorhexidine and Alexidine, modified OMA1 activity by altering the integrity of the IMM. Interestingly, these compounds are well-known bactericides whose mechanism of action has centered on their damage-inducing activity on bacterial membranes. We found Alexidine binds to the IMM likely through the electrostatic interaction driven by the membrane potential as well as an affinity for anionic phospholipids. Electron microscopic analysis revealed that Alexidine severely perturbated the IMM, especially the cristae structure. Along with this, we observed the altered localization of IMM-resident membrane-shaping proteins, including Mic60. Notably, Alexidine evoked a specific transcriptional/proteostasis signature that was not induced by other typical mitochondrial stressors, highlighting the unique property of Alexidine as a novel mitochondrial membrane stressor. Our findings provide a chemical-biological tool that can induce acute and selective perturbation of the IMM integrity, which should enable the delineation of mitochondrial stress-signaling pathways required to maintain the mitochondrial membrane homeostasis.
Detecting seabird responses to invasive species eradication

Maximising survey efficiency can help reduce the trade-off between spending limited conservation resources on evaluating performance of past interventions and directing those resources towards future interventions. Seabird responses to island eradications are often poorly evaluated owing to financial, logistical and methodological challenges associated with remote field work and species ecology. We surveyed an assemblage of threatened seabirds following the world’s largest island eradication of multiple invasive species, testing multiple survey designs and outputs. We compared the outcomes of two important choices made during survey design: 1) whether to use unbiased or targeted surveys; and 2) implementing design-based or model-based analyses. An unbiased whole-island stratified randomised survey design performed well in terms of confidence in the final population estimates for widespread species, but poorly for localised recolonising species. For widespread species, model-based analyses resulted in slightly lower population estimates with narrower confidence intervals than traditional design-based approaches but failed to capture the realised niches of recolonising species, resulting in population estimates three orders of magnitude higher than current best estimates. We conclude that a multi-method approach to survey design best captures the size and distribution of recovering populations when the study system is ecologically diverse—importantly our results suggest there is no single strategy for efficient surveys of diverse seabird communities following large island invasive species eradications.
plantR: An R package and workflow for managing species records from biological collections

Species records from biological collections are becoming increasingly available online. This unprecedented availability of records has largely supported recent studies in taxonomy, biogeography, macroecology, and biodiversity conservation. Biological collections vary in their documentation and notation standards, which have changed through time. For different reasons, neither collections nor data repositories perform the editing, formatting, and standardization of the data, leaving these tasks to the final users of the species records (e.g. taxonomists, ecologists and conservationists). These tasks are challenging, particularly when working with millions of records from hundreds of biological collections. To help collection curators and final users perform those tasks, we introduce plantR, an open-source package that provides a comprehensive tool-box to manage species records from biological collections. The package is accompanied by the proposal of a reproducible workflow to manage this type of data in taxonomy, ecology, and biodiversity conservation. It is implemented in R and designed to handle relatively large data sets as fast as possible. Initially designed to handle plant species records, many of the plantR features also apply to other groups of organisms, given that the data structure is similar. The plantR workflow includes tools to (1) download records from different data repositories, (2) standardize typical fields associated with species records, (3) validate the locality, geographical coordinates, taxonomic nomenclature, and species identifications, including the retrieval of duplicates across collections, and (4) summarize and export records, including the construction of species checklists with vouchers. Other R packages provide tools to tackle some of the workflow steps described above. But in addition to the new features and resources related to the data editing and validation, the greatest strength of plantR is to provide a comprehensive and user-friendly workflow in one single environment, performing all tasks from data retrieval to export. Thus, plantR can help researchers better assess data quality and avoid data leakage in a wide variety of studies using species records.
Nosocomial Pseudomonas aeruginosa regulates alginate biosynthesis and Type VI secretion system during adaptive and convergent evolution for coinfection in critically ill COVID-19 patients

COVID-19 pandemic has caused millions of death globally and caused huge impact on the health of infected patients. Shift in the lung microbial ecology upon such viral infection often worsens the disease and increases host susceptibility to secondary infections. Recent studies have indicated that bacterial coinfection is an unignorable factor contributing to the aggravation of COVID-19 and posing great challenge to clinical treatments. However, there is still a lack of in-depth investigation on the coinfecting bacteria in COVID-19 patients for better treatment of bacterial coinfection. With the knowledge that Pseudomonas aeruginosa is one of the top coinfecting pathogens, we analyzed the adaptation and convergent evolution of nosocomial P. aeruginosa isolated from two critical COVID-19 patients in this study. We sequenced and compared the genomes and transcriptomes of P. aeruginosa isolates longitudinally and parallelly for its evolutionary traits. P. aeruginosa overexpressed alginate and attenuated Type VI secretion system (T6SS) during coinfection for excessive biofilm formation and suppressed virulence. Results of bacterial competition assay and macrophage cytotoxicity test indicated that P. aeruginosa reduced its virulence towards both prokaryotic competitors and eukaryotic host through inhibiting its T6SS during evolution. P. aeuginosa T6SS is thus one of the reasons for its advantage to cause coinfection in COVID-19 patients while the attenuation of T6SS could cause a shift in the microecological composition in the lung. Our study will contribute to the development of therapeutic measures and the discovery of novel drug target to eliminate P. aeruginosa coinfection in COVID-19 patient.
The MYB33, MYB65, and MYB101 transcription factors affect Arabidopsis and potato responses to drought by regulating the ABA signaling pathway

Aims Drought is a climate threat limiting crop production. Potato is one of the four most important food crops worldwide and is sensitive to water shortage. The CBP80 gene was shown to affect plant response to drought by regulating the level of microRNA159, and, consequently, the levels of the MYB33 and MYB101 transcription factors. (TF) Our studies aimed to show whether indeed the level of MYB33, MYB65, and MYB101 TFs affects plant response to water shortage. Methods Arabidopsis transgenic plants exhibiting downregulation and Arabidopsis and potato transgenic plants exhibiting overexpression of selected MYB TFs were obtained. Plants response to drought was mainly measured using relative water content (RWC) and stomata closure upon exogenous ABA. Results Three MYB TFs studied are involved in plant response to drought. When downregulated in Arabidopsis, the MYB33, MYB65 and MYB101 genes cause stomatal hyposensitivity to ABA, leading to reduced tolerance to drought. Transgenic Arabidopsis and potato plants overexpressing a mutated version of these genes with changed miR159 recognition site, show hypersensitivity to ABA and relatively high tolerance to drought conditions. Conclusions The MYB33, MYB65, and MYB101 genes are good be potential targets for innovative breeding to obtain crops with relatively high tolerance to drought.
Cascade screening following a polygenic risk score test: what is the risk of a relative conditional on a high score of a proband?

Polygenic risk scores (PRSs) for predicting disease risk have become increasingly accurate, leading to rising popularity of PRS tests. Consider an individual whose PRS test has placed him/her at the top q-quantile of genetic risk. Recently, Reid et al. (Circ Genom Precis Med. 2021;14:e003262) have investigated whether such a finding should motivate cascade screening in the proband’s siblings. Specifically, using data from the UK biobank, Reid et al. computed the empirical probability of a sibling of the proband to also have a PRS at the top q-quantile. In this short note, I use the liability threshold model to compute this probability analytically (for either a sibling of the proband or for a more distant relative), showing excellent agreement with the empirical results of Reid et al., including that this probability is disease-independent. Further, I compute the probability of the relative of the proband to be affected, as a function of the quantile threshold q, the proportion of variance explained by the score, and the disease prevalence.
The development of attention and distractibility in preschool children from higher and lower socioeconomic status backgrounds

Attention is a multifaceted construct supported by multiple brain networks that undergo significant development in childhood. Child’s abilities to select relevant information and to suppress distracting information are critical skills for school success. However, the developmental trajectory of these attentional abilities, and how external factors such as socioeconomic status (SES) influence them, has not been adequately characterized. We used the Competitive Attention Task (CAT) to simultaneously measure voluntary attention, distraction, phasic arousal, impulsivity and motor control in 4- and 5-year-old children from higher and lower SES backgrounds (N=72). Irrespective of age and SES, distracting sounds induce distraction and facilitation effects, as well as increased impulsivity, which is developmentally consistent with previous studies in older children and adults (Hoyer et. al., 2021). However, 4-year-old children from lower SES backgrounds presented significantly higher variability in response times, made more impulsive responses, and missed more targets than the higher SES group. These results indicate that multiple facets of attention contribute to distractibility in young children, and may inform evidence-based programs to compensate for attention differences in childhood.
Wnt/β-catenin regulates alloreactive T cells for the treatment of hematological malignancies

Allogeneic hematopoietic stem cell transplantation (allo-HSCT) is one of the most widely applied forms of adaptive immunotherapy. Both the detrimental graft-versus-host disease (GVHD) and the beneficial graft-versus-leukemia (GVL) effects occurring after allo-HSCT are largely mediated by alloantigen-reactive donor T cells in the graft. Separating GVHD from GVL effects is a formidable challenge, and a greater understanding of donor T cell biology is required to accomplish the uncoupling of GVHD from GVL. Here, we tested a novel mouse model of β-catenin (Cat-Tg) in an allo-HSCT model. Our data show that T cells from Cat-Tg mice did not cause GVHD. Surprisingly, Cat-Tg T cells maintained the GVL effect. Donor T cells from Cat-Tg mice exhibited significantly lower inflammatory cytokine production and reduced donor T cell proliferation, while upregulating cytotoxic mediators that resulted in enhanced cytotoxicity. RNA sequencing data revealed changes in the expression of over 150 genes for CD4, and over 250 genes for CD8+T cells involved in essential aspects of immune response and GVHD pathophysiology. Transgenic over-expression of human β-catenin primarily affects CD8+ T cell phenotype. Altogether, our data suggest that β-catenin is a druggable target for developing therapeutic strategies to reduce GVHD while preserving the beneficial GVL effects following allo-HSCT treatment.
Safety and efficacy of C9ORF72-repeat RNA nuclear export inhibition in amyotrophic lateral sclerosis

Background Loss of motor neurons in amyotrophic lateral sclerosis (ALS) leads to progressive paralysis and death. Dysregulation of thousands of RNA molecules with roles in multiple cellular pathways hinders the identification of ALS-causing alterations over downstream changes secondary to the neurodegenerative process. How many and which of these pathological gene expression changes require therapeutic normalisation remains a fundamental question. Methods Here, we investigated genome-wide RNA changes in C9ORF72-ALS patient-derived neurons and Drosophila, as well as upon neuroprotection taking advantage of our gene therapy approach which specifically inhibits the SRSF1-dependent nuclear export of pathological C9ORF72-repeat transcripts. This is a critical study to evaluate (i) the overall safety and efficacy of the partial depletion of SRSF1, a member of a protein family involved itself in gene expression, and (ii) a unique opportunity to identify neuroprotective RNA changes. Results Our study demonstrates that manipulation of 362 transcripts out of 2,257 pathological changes in C9ORF72-ALS patient-derived neurons is sufficient to confer neuroprotection upon partial depletion of SRSF1. In particular, expression of 90 disease-altered transcripts is fully reverted upon neuroprotection leading to the characterisation of a human C9ORF72-ALS disease-modifying gene expression signature. These findings were further investigated in vivo in diseased and neuroprotected Drosophila transcriptomes, highlighting a list of 21 neuroprotective changes conserved with 16 human orthologues in patient-derived neurons. We also functionally validated the high therapeutic potential of one of these disease-modifying transcripts, demonstrating that inhibition of ALS-upregulated human KCNN1-3 (Drosophila SK) voltage-gated potassium channel orthologs mitigates degeneration of human motor neurons as well as Drosophila motor deficits. Conclusions Strikingly, manipulating the expression levels of a small proportion of RNAs is sufficient to induce a therapeutic effect, further indicating that the SRSF1-targeted gene therapy approach is safe in the above preclinical models as it does not disrupt globally gene expression. The efficacy of this intervention is also validated at genome-wide level with therapeutically-induced RNA changes involved in the vast majority of biological processes affected in C9ORF72-ALS. Finally, the identification of a characteristic signature with key RNA changes modified in both the disease state and upon neuroprotection also provides potential new therapeutic targets and biomarkers.
Developmental changes in story-evoked responses in the neocortex and hippocampus

How does the representation of naturalistic life events change with age? Here we analyzed fMRI data from 414 children and adolescents (5 - 19 years) as they watched a narrative movie. In addition to changes in the degree of inter-subject correlation (ISC) with age in sensory and medial parietal regions, we used a novel measure (between-group ISC) to reveal age-related shifts in the responses across the majority of the neocortex. Over the course of development, brain responses became more discretized into stable and coherent events and shifted earlier in time to anticipate upcoming perceived event transitions, measured behaviorally in an age-matched sample. However, hippocampal responses to event boundaries actually decreased with age, suggesting a shifting division of labor between episodic encoding processes and schematic event representations between the ages of 5 and 19.
Neural Potts Model

We propose the Neural Potts Model objective as an amortized optimization problem. The objective enables training a single model with shared parameters to explicitly model energy landscapes across multiple protein families. Given a protein sequence as input, the model is trained to predict a pairwise coupling matrix for a Potts model energy function describing the local evolutionary landscape of the sequence. Couplings can be predicted for novel sequences. A controlled ablation experiment assessing unsupervised contact prediction on sets of related protein families finds a gain from amortization for low-depth multiple sequence alignments; the result is then confirmed on a database with broad coverage of protein sequences.