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Altmann, S.

Publications and source records attributed to Altmann, S..

10 recordsLinked to original sources

Symbiont effectors modulate plant signalling to increase host stress resilience

Plant colonizing mutualistic symbionts confer beneficial effects to their hosts, which often includes increased growth, and biotic and abiotic stress resilience. How these benefits are activated on a molecular level is mostly unknown. Here, we describe effector candidates of the fungal symbiont Serendipita indica (Si), which modulate plant stress signalling pathways. By analyzing the Si effector interactome, we reveal frequent targeting of stress related host proteins, which are linked to the identified effector signalling functions. Moreover, functional data indicate that Si effectors modulate abiotic stress response of Arabidopsis, as well as resistance to pathogen infection. Analysis of symbiont effectors might not only uncover previously unreported molecular mechanisms that increase plant fitness but might also be used to identify potential genetic traits for crop improvement under changing climates.

plant biology↗

Acoziborole resistance associated mutations in trypanosome CPSF3

Acoziborole is a safe, single dose, oral therapy, for treatment of both early and late-stage sleeping sickness, a deadly disease caused by African trypanosomes. Other benzoxaboroles show efficacy against other trypanosomatids, apicomplexans, fungi, bacteria, and viruses. Acoziborole targets the trypanosome pre-mRNA processing endonuclease, cleavage and polyadenylation specificity factor 3 (CPSF3), and triggers CPSF3 degradation, but it remains unclear whether additional mechanisms contribute to efficacy. We used oligo targeting for site saturation mutagenesis of the native CPSF3 gene. Among >1,500 edits around the putative drug binding site, only Asn232His edits conferred moderate resistance to acoziborole. Using a novel combinatorial oligo targeting method we edited multiple sites simultaneously, including sites that differ in human CPSF3, and found that an Asn232His, Tyr383Phe, Asn448Gln triple-mutant strain was >40-fold resistant to acoziborole. We used gene tagging to show that all three edits were on the same allele, and to show that triple-mutant CPSF3 was highly resistant to rapid acoziborole and proteasome-dependent degradation. Computational modelling revealed how the combinatorial mutations can disrupt acoziborole - CPSF3 interactions by introducing steric clash and by disrupting hydrophobic and water-mediated interactions. We conclude that acoziborole safety and efficacy can be explained by selective affinity for, and rapid turnover of, trypanosome CPSF3. Author SummaryDiagnosis and treatment options, previously limited for sleeping sickness, have been transformed in recent years. Acoziborole, for example, is a new, safe, single dose, oral therapy for the treatment of this deadly disease. This drug can also be used without the need for cumbersome disease-stage diagnosis. Additional boron-based drugs also show great promise against a whole range of other infectious diseases. Acoziborole targets an RNA processing enzyme in African trypanosomes, and triggers its degradation, but human cells express a similar enzyme, and alternative trypanosomal targets have also been suggested. Insights into how a drug interacts with its target can help to understand selective action against a pathogen, and to predict resistance, an ever-present threat for many drugs. We used a precision gene editing method to change the target protein in trypanosomes, editing single sites or multiple sites simultaneously. A novel triple-mutant was found to be both highly resistant to acoziborole and highly resistant to rapid degradation. Using computational models, we were able to explain how multiple mutations interfered with acoziborole binding to its target. The findings show how selective binding of a specific parasite enzyme makes acoziborole such a safe and effective drug.

microbiology↗

A novel chitinase-like family of candidate effectors unique to aphids

Molecular interactions between aphids and plants include delivery of salivary effector proteins into host cells, acting as virulence factors to suppress host immunity, or as avirulence functions triggering immune activation. However, understanding of virulence and avirulence mechanisms in aphid-plant systems is currently limited. Here, we report discovery of an effector candidate family that is unique to aphids. Using functional genomics data on divergent pea aphid (Acyrthosiphon pisum) genotypes and their F1 progeny, we filtered for differentially expressed saliva proteins that co-segregated with virulence or avirulence phenotypes. LOC100575698 (ACPISUM_029930), annotated as an uncharacterized protein, was the sole candidate effector for which RNA-Seq and saliva proteomics data showed significantly different expression both between avirulent and virulent parents and between their segregating F1 progeny, with this gene upregulated in avirulent genotypes. BLASTP searches revealed multiple divergent homologs only in genomes of the Aphidomorpha infra-order, suggesting a hitherto undefined ancient aphid-specific gene family. AlphaFold models indicate strong structural similarities but weak sequence homology to chitinases. Because the aphid-specific clade all lack canonical DxxDxDxE motifs for catalytic activity, we designate the proteins as a novel CHitinase-Like (CHL) family. Association of ACPISUM_029930 (ApCHL1) with avirulence was further supported by co-segregating SNPs and a genotype-specific alternatively spliced isoform. We hypothesise that CHL proteins may function similarly to phylogenetically unrelated chitin-binding fungal effectors that sequester chitin, also present in aphid stylets, potentially preventing defence activation through plant chitin receptors and/or blocking chitin degradation by host-secreted chitinases.

molecular biology↗

Decoding efficacy and resistance space at a drug binding site

Interactions between drugs and their targets impact efficacy and, when altered by mutation, can result in resistance 1-3. Assessing and understanding the impacts of all possible mutations at a drug binding site remain challenging, however 4-6. Here, we used Multiplex Oligo Targeting (MOT) for mutational profiling, and computational modelling, to decode efficacy and resistance space at the otherwise native binding site for a low nanomolar potency, anti-trypanosomal, proteasome inhibitor 7. We saturation-edited twenty codons in the Trypanosoma brucei proteasome {beta}5 subunit and subjected the resulting MOT libraries to stepwise drug selection. Amplicon sequencing, and codon variant scoring, yielding dose-response profiles for >100 resistance-conferring mutants, among 1,280 possible codon variants. Codon variant scores were predictive of relative resistance observed using a bespoke set of mutants, while fitness profiling revealed otherwise extensive constraints on mutational fitness and resistance space. The resistance profile that emerged allowed us to readily predict routes to spontaneous drug resistance observed within accessible, single nucleotide mutational space. In silico analysis of {beta}5 subunit mutations predicted impacts on ligand affinity via steric effects, hydrogen-bonding and lipophilicity, which when combined with predictions of proteasome function perturbing mutations, were closely aligned with observed impacts on drug resistance. We conclude that MOT-library profiling facilitates assessment of all possible mutations at a drug binding site. Further decoding of drug target structure-activity relationships and drug resistance space will facilitate the design of more effective and durable drugs.

molecular biology↗

Multi-omics approaches define novel aphid effector candidates associated with virulence and avirulence phenotypes

BackgroundCompatibility between plant parasites and their hosts is genetically determined by both interacting organisms. For example, plants may carry resistance (R) genes or deploy chemical defences. Aphid saliva contains many proteins that are secreted into host tissues. Subsets of these proteins are predicted to act as effectors, either subverting or triggering host immunity. However, associating particular effectors with virulence or avirulence outcomes presents challenges due to the combinatorial complexity. Here we use defined aphid and host genetics to test for co-segregation of expressed aphid transcripts and proteins with virulent or avirulent phenotypes. ResultsWe compared virulent and avirulent pea aphid parental genotypes, and their bulk segregant F1 progeny on Medicago truncatula genotypes carrying or lacking the RAP1 resistance quantitative trait locus. Differential gene expression analysis of whole body and head samples, in combination with proteomics of saliva and salivary glands, enabled us to pinpoint proteins associated with virulence/avirulence phenotypes. There was relatively little impact of host genotype, whereas large numbers of transcripts and proteins were differentially expressed between parental aphids, likely a reflection of their classification as divergent biotypes within the pea aphid species complex. Many fewer transcripts intersected with the equivalent differential expression patterns in the bulked F1 progeny, providing an effective filter for removing genomic background effects. Overall, there were more upregulated genes detected in the F1 avirulent dataset compared with the virulent one. Some genes were differentially expressed both in the transcriptome and in the proteome datasets, with aminopeptidase N proteins being the most frequent differentially expressed family. In addition, a substantial proportion (27%) of salivary proteins lack annotations, suggesting that many novel functions remain to be discovered. ConclusionsEspecially when combined with tightly controlled genetics of both insect and host, multi-omics approaches are powerful tools for revealing and filtering candidate lists down to plausible genes for further functional analysis as putative aphid effectors.

genomics↗

A gut meta-interactome map reveals modulation of human immunity by microbiome effectors

The molecular mechanisms by which the gut microbiome influences human health remain largely unknown. Pseudomonadota is the third most abundant phylum in normal gut microbiomes. Several pathogens in this phylum can inject so-called virulence effector proteins into host cells. We report the identification of intact type 3 secretion systems (T3SS) in 5 - 20% of commensal Pseudomonadota in normal human gut microbiomes. To understand their functions, we experimentally generated a high-quality protein-protein meta-interactome map consisting of 1,263 interactions between 289 bacterial effectors and 430 human proteins. Effector targets are enriched for metabolic and immune functions and for genetic variation of microbiome-influenced traits including autoimmune diseases. We demonstrate that effectors modulate NF-{kappa}B signaling, cytokine secretion, and adhesion molecule expression. Finally, effectors are enriched in metagenomes of Crohns disease, but not ulcerative colitis patients pointing toward complex contributions to the etiology of inflammatory bowel diseases. Our results suggest that effector-host protein interactions are an important regulatory layer by which the microbiome impacts human health.

microbiology↗

The lectin LecB induces patches with basolateral characteristics at the apical membrane to promote Pseudomonas aeruginosa host cell invasion

The opportunistic bacterium Pseudomonas aeruginosa can infect mucosal tissues of the human body. To persist at the mucosal barrier, this highly adaptable pathogen has evolved many strategies, including invasion of host cells. Here, we show that the P. aeruginosa lectin LecB binds and cross-links fucosylated receptors at the apical plasma membrane of epithelial cells. This triggers a signaling cascade via Src kinases and PI3K leading to the formation of patches enriched with the basolateral marker PIP3 at the apical plasma membrane. This identifies LecB as causative bacterial factor for activating this well-known host cell response that is elicited upon apical binding of P. aeruginosa. Downstream of PI3K, Rac1 is activated to cause actin rearrangement and the outgrowth of protrusions at the apical plasma membrane. LecB-triggered PI3K activation also results in aberrant recruitment of caveolin-1 to the apical domain. In addition, we reveal a positive feedback loop between PI3K activation and apical caveolin-1 recruitment, which provides a mechanistic explanation for the previously observed implication of caveolin-1 in P. aeruginosa host cell invasion. Interestingly, LecB treatment also reversibly removes primary cilia. To directly prove the role of LecB for bacterial uptake, we coated bacteria-sized beads with LecB, which drastically enhanced their endocytosis. Furthermore, LecB deletion and LecB inhibition with L-fucose diminished the invasion efficiency of P. aeruginosa bacteria. Taken together, our study identifies LecB as missing link that can explain how PI3K signaling and caveolin-1 recruitment are triggered to facilitate invasion of epithelial cells from the apical side by P. aeruginosa. ImportanceAn intriguing feature of the bacterium P. aeruginosa is its ability to colonize highly diverse niches. P. aeruginosa can, besides biofilm formation, also enter and proliferate within epithelial host cells. Moreover, research during recent years has shown that P. aeruginosa possesses many different mechanisms to invade host cells. In this study we identify LecB as novel invasion factor. In particular, we show that LecB activates PI3K signaling, which is connected via a positive feedback loop to apical caveolin-1 recruitment, and leads to actin rearrangement at the apical plasma membrane. This provides a unifying explanation for the previously reported implication of PI3K and caveolin-1 in P. aeruginosa host cell invasion. In addition, our study adds a further function to the remarkable repertoire of the lectin LecB, which is all brought about by the capability of LecB to recognize fucosylated glycans on many different niche-specific host cell receptors.

microbiology↗

The ΔF508 CFTR defect: molecular mechanism of suppressor mutation V510D and the contribution of transmembrane helix unraveling

Cystic fibrosis (CF) results from mutations within the gene encoding the Cystic Fibrosis Transmembrane Conductance Regulator (CFTR), a transmembrane chloride channel found on the apical surface of epithelial cells. The most common CF-causing mutation results in a deletion of phenylalanine 508 ({Delta}F508-CFTR), a residue normally found within the NBD1 domain. Loss of F508 causes NBD1 to be less thermodynamically stable and prevents proper tertiary folding of CFTR. As a result, CFTR is not properly trafficked to the cell surface. Recently, progress has been made towards the development of small molecule "correctors" that can restore CFTR tertiary structure and stabilize the channel to overcome the instability inherent in {Delta}F508-CFTR. However, the resultant improvement in channel activity has been modest, and the need for potent correctors remains. To fully inform such efforts, a better understanding of the molecular pathology associated with {Delta}F508-CFTR is required. Here we present a comprehensive study of the impact of F508 deletion on both purified NBD1 and full-length CFTR. Through the use of homology modeling, molecular dynamics simulations, mutational analysis, biochemical, biophysical and functional characterization studies, we obtained insight into how the {Delta}F508 mutation may lead to helical unraveling of transmembrane domains 10 and 11 (TM10, TM11), and how the known suppressor mutations V510D and R1070W, as well as novel second site suppressor mutations (SSSMs) identified in this work, may act to rescue {Delta}F508-CFTR maturation and trafficking.

biochemistry↗

Vorpal: A Novel RNA Virus Feature-Extraction Algorithm Demonstrated Through Interpretable Genotype-to-Phenotype Linear Models

In the analysis of genomic sequence data, so-called "alignment free" approaches are often selected for their relative speed compared to alignment-based approaches, especially in the application of distance comparisons and taxonomic classification1,2,3,4. These methods are typically reliant on excising K-length substrings of the input sequence, called K-mers5. In the context of machine learning, K-mer based feature vectors have been used in applications ranging from amplicon sequencing classification to predictive modeling for antimicrobial resistance genes6,7,8. This can be seen as an analogy of the "bag-of-words" model successfully employed in natural language processing and computer vision for document and image classification9,10. Feature extraction techniques from natural language processing have previously been analogized to genomics data11; however, the "bag-of-words" approach is brittle in the RNA virus space due to the high intersequence variance and the exact matching requirement of K-mers. To reconcile the simplicity of "bag-of-words" methods with the complications presented by the intrinsic variance of RNA virus space, a method to resolve the fragility of extracted K-mers in a way that faithfully reflects an underlying biological phenomenon was devised. Our algorithm, Vorpal, allows the construction of interpretable linear models with clustered, representative degenerate K-mers as the input vector and, through regularization, sparse predictors of binary phenotypes as the output. Here, we demonstrate the utility of Vorpal by identifying nucleotide-level genomic motif predictors for binary phenotypes in three separate RNA virus clades; human pathogen vs. non-human pathogen in Orthocoronavirinae, hemorrhagic fever causing vs. non-hemorrhagic fever causing in Ebolavirus, and human-host vs. non-human host in Influenza A. The capacity of this approach for in silico identification of hypotheses which can be validated by direct experimentation, as well as identification of genomic targets for preemptive biosurveillance of emerging viruses, is discussed. The code is available for download at https://github.com/mriglobal/vorpal.

bioinformatics↗

The Pseudomonas aeruginosa lectin LecB causes integrin internalization to facilitate crawling of bacteria underneath host cells

The opportunistic bacterium Pseudomonas aeruginosa produces the fucose-specific lectin LecB, which has been identified as virulence factor. LecB has a tetrameric structure with four opposing binding sites and has been shown to act as crosslinker. Here, we demonstrate that LecB strongly binds to the glycosylated moieties of {beta}1-integrins on the basolateral plasma membrane of epithelial cells and caused rapid integrin endocytosis. Whereas internalized integrins were degraded via a lysosomal pathway, washout of LecB restored integrin cell surface localization, thus indicating a specific and direct action of LecB on integrins to bring about their endocytosis. Interestingly, LecB was able to trigger uptake of active and inactive {beta}1-integrins and also of complete 3{beta}1-integrin - laminin complexes. We provide a mechanistic explanation for this unique endocytic process by showing that LecB has the additional ability to recognize fucose-bearing glycosphingolipids and caused the formation of membrane invaginations on giant unilamellar vesicles. In cells, LecB recruited integrins to these invaginations by crosslinking integrins and glycosphingolipids. In epithelial wound healing assays, LecB specifically cleared integrins from the surface of cells located at the wound edge and blocked cell migration and wound healing in a dose-dependent manner. Moreover, the wild type P. aeruginosa strain PAO1 was able to loosen cell-substrate adhesion in order to crawl underneath exposed cells, whereas knockout of LecB significantly reduced crawling events. Based on these results we suggest that LecB has a role in disseminating bacteria along the cell - basement membrane interface. ImportancePseudomonas aeruginosa is a ubiquitous environmental bacterium that is one of the leading causes for nosocomial infections. P. aeruginosa is able to switch between planktonic, intracellular, and biofilm-based lifestyles, which allows it to evade the immune system as well as antibiotic treatment. Hence, alternatives to antibiotic treatment are urgently required to combat P. aeruginosa infections. Lectins, like the fucose-specific LecB, are promising targets, because removal of LecB resulted in decreased virulence in mouse models. Currently, several research groups are developing LecB inhibitors. However, the role of LecB in host-pathogen interaction is not well understood. The significance of our research is in identifying cellular mechanisms how LecB facilitates P. aeruginosa infection: We introduce LecB as new member to the list of bacterial molecules that bind integrins and show that P. aeruginosa can efficiently move forward underneath attached epithelial cells by loosening cell - basement membrane attachment in a LecB-dependent manner.

microbiology↗