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PubMed2026

Phytoplasma-plant interactions: effector-mediated host reprogramming, hormonal crosstalk, metabolic alterations and plant-mediated vector manipulation.

Phytoplasmas are wall-less, phloem-restricted bacterial pathogens that infect over 1,000 plant species, causing substantial losses in agriculture, horticulture, and forestry worldwide. Despite their reduced genomes and limited metabolic autonomy, these obligate parasites colonize diverse hosts through secreted effector proteins that extensively reprogram plant development, metabolism, immune signalling, and vector interactions. Advances in genomics, transcriptomics, proteomics, metabolomics, and functional studies have substantially clarified the molecular basis of phytoplasma pathogenicity and symptom development. This review synthesizes current understanding of phytoplasma-plant interactions, covering phytoplasma biology, genome evolution, and the infection cycle across plant and insect vector hosts. We examine the molecular functions of key effectors, SAP11, SAP54/PHYL1, SAP05, TENGU, SWP1, and recently identified virulence factors, focusing on how they target host transcription factors, phytohormone networks, protein degradation pathways, and immune responses to promote colonization and disease progression. We further discuss how phytoplasma infection disrupts phytohormone signalling, primary and secondary metabolism, and developmental programs to produce characteristic disease symptoms, with particular attention to pathogen-induced changes in host volatiles and nutritional quality that alter vector behaviour and enhance transmission. Finally, we summarize insights from multi-omics studies and emerging management strategies, including CRISPR-based genome editing, RNAi, rapid molecular diagnostics, resistant cultivars, microbiome-based approaches, and sustainable vector control, and highlight key knowledge gaps and priorities for developing effective, environmentally sustainable phytoplasma disease management.

Phytoplasma↗
PubMed2025

Pooled PPIseq: Screening the SARS-CoV-2 and human interface with a scalable multiplexed protein-protein interaction assay platform.

Protein-Protein Interactions (PPIs) are a key interface between virus and host, and these interactions are important to both viral reprogramming of the host and to host restriction of viral infection. In particular, viral-host PPI networks can be used to further our understanding of the molecular mechanisms of tissue specificity, host range, and virulence. At higher scales, viral-host PPI screening could also be used to screen for small-molecule antivirals that interfere with essential viral-host interactions, or to explore how the PPI networks between interacting viral and host genomes co-evolve. Current high-throughput PPI assays have screened entire viral-host PPI networks. However, these studies are time consuming, often require specialized equipment, and are difficult to further scale. Here, we develop methods that make larger-scale viral-host PPI screening more accessible. This approach combines the mDHFR split-tag reporter with the iSeq2 interaction-barcoding system to permit massively-multiplexed PPI quantification by simple pooled engineering of barcoded constructs, integration of these constructs into budding yeast, and fitness measurements by pooled cell competitions and barcode-sequencing. We applied this method to screen for PPIs between SARS-CoV-2 proteins and human proteins, screening in triplicate >180,000 ORF-ORF combinations represented by >1,000,000 barcoded lineages. Our results complement previous screens by identifying 74 putative PPIs, including interactions between ORF7A with the taste receptors TAS2R41 and TAS2R7, and between NSP4 with the transmembrane KDELR2 and KDELR3. We show that this PPI screening method is highly scalable, enabling larger studies aimed at generating a broad understanding of how viral effector proteins converge on cellular targets to effect replication.

Humans↗
PubMed1976

Autooxidation and hydroxylation reactions of oxygenated cytochrome P-450cam.

Oxy-ferrous substrate-bound cytochrome P-450cam (mrsO2) autooxidizes in the absence of its specific effector protein, putidaredoxin, without hydroxylating the substrate, camphor. The autooxidation is first order with an activation energy of 17 kcal mol-1 at 25 degrees, pH 7.0. Substrate removal and low pH accelerate the reaction. The product, 5-exo-OH camphor, and a nonhydroxylated pseudosubstrate, norcamphor, stabilize the complex in a manner similar to camphor. Increased oxidation rate of mrsO2 and substrate hydroxylation are induced by putidaredoxin, rebredoxin, cytochrome b5, and the apoproteins of the latter two. Dihydrolipoic acid and other dithiols also replace putidaredoxin as effector molecules, but 1000-fold higher concentrations are required. Effector molecules do not increase the autooxidation rate of mrsO2 unless camphor, norcamphor, or another pseudosubstrate is present. Kinetic evidence is presented showing that an active complex between mrsO2 and effector is a required intermediate in mixed function oxidation.

Animals↗
PubMed2026

Spectral-Proteomic Integration Analysis (SPIA) Deciphers Molecular Trajectories of Breast Cancer and Enables Multitarget Therapeutic Assessment.

Raman spectroscopy and mass spectrometry-based proteomics offer deeply complementary yet largely disconnected views of cancer biology: the former provides a label-free, real-time biochemical phenotype, while the latter delivers a quantitative inventory of specific protein effectors. Bridging this gap remains a fundamental challenge in analytical biomedicine. Here, we introduce Spectral-Proteomic Integration Analysis (SPIA)─a novel, data-driven integrative framework that systematically links Raman spectroscopic phenotypes with quantitative proteomic profiles through machine learning and statistical correlation. Using a DMBA-induced rat breast cancer model with and without Toremifene (TOR) intervention, SPIA dynamically maps tumor microenvironment remodeling, capturing progressive collagen deposition and lipid metabolic reprogramming. An SVM classifier trained on Raman spectra achieves exceptional diagnostic accuracy (AUC ≥ 99.0%) and successfully predicts TOR therapeutic response. Proteomic analysis identifies 1,350 differentially expressed proteins, with convergent machine learning feature selection (LASSO, Random Forest, XGBoost) pinpointing core regulators including Luc7l2, Nucb1, Cbx3, and Csnk2a1. Crucially, Spearman correlation analysis between key Raman bands and core DEPs reveals strong, statistically robust associations (median ρ ∼ 0.75 in the 1533-1669 cm-1 region), empirically validating SPIA's core integrative logic. Leveraging this multimodal map, we elucidate a multitarget mechanism for TOR involving concurrent suppression of collagen deposition and correction of aberrant lipid metabolism. SPIA establishes a powerful, generalizable paradigm for integrating phenotypic and molecular data, with broad implications for biomarker discovery, drug mechanism elucidation, and precision oncology.

Animals↗
PubMed2025

Studying Mitotic Phosphorylation in Drosophila.

Mitosis is largely controlled by the reversible phosphorylation of effector proteins. The addition or removal of phosphate groups alters the activities of these proteins, resulting in changes in chromosome structure, cytoskeletal dynamics, nuclear envelope integrity, and other transformations that must occur as a cell progresses through mitosis. Drosophila has been instrumental in the elucidation of the molecular mechanisms of mitosis, which are mostly conserved among animals. In this model system, sophisticated genetic tools can be used to study mitosis in different tissues during development in vivo. Drosophila cell culture affords complementary possibilities. In this chapter, we present a phosphoproteomic protocol using Drosophila cell culture to identify phosphorylation sites that depend on mitotic kinases and phosphatases. We also provide protocols to dissect the roles of the identified sites in the regulation of protein interactions and localization during mitosis, using Drosophila embryos. We emphasize the advantages of the selected methods compared to possible alternatives in Drosophila or in other systems.

Animals↗
PubMed2025

Multilevel regulation of c-di-GMP biosynthesis by cAMP signaling increases Shigella sonnei fitness and pathogenicity in response to bile salts.

It was previously demonstrated that intestinal pathogens have evolved different mechanisms to enhance their infection and colonization in the intestines of hosts. However, it is unclear how Shigella effectively survives in the presence of bile salts. Here, we report that the biofilm formation and pathogenicity of S. sonnei are induced by primary bile salts through the two-component system EvgS/EvgA. The response regulator EvgA controls the transcription of the cyclic AMP synthase-encoding gene. Furthermore, the effector protein CRP of the cyclic AMP (cAMP) signal not only positively controls the transcription of ydeH, a gene encoding cyclic di-GMP (c-di-GMP) synthase, but also forms a complex with YdeH to improve its catalytic production of c-di-GMP. Additionally, interacting with YdeH enhances the ability of CRP to bind to the promoter of ydeH. Our work provides insights into how S. sonnei utilizes cascade amplification of c-di-GMP to promote fitness and pathogenicity in response to primary bile salts.

Cyclic GMP↗
PubMed2026

Experimental evolution reveals genetic routes for adaptive loss of the antibacterial type VI secretion system.

The type VI secretion system (T6SS) is a contractile nanomachine used by Gram-negative bacteria to deliver effector proteins into target cells, contributing to both interbacterial competition and pathogenesis. Although T6SS gene clusters are present in recently isolated commensal and pathogenic Escherichia coli strains, they are absent from classical laboratory strains that have been propagated for decades in pure cultures, suggesting that T6SS can be lost in the absence of competition. Here, we combined experimental evolution with whole-genome sequencing to track the fate of the enteroaggregative Escherichia coli (EAEC) Sci1 T6SS during competition with either T6SS-susceptible or T6SS-immune bacteria. After ∼640 generations, T6SS activity was largely maintained during competition with T6SS-susceptible bacteria, whereas ∼90% of clones evolved with T6SS-immune bacteria lost or attenuated T6SS activity through diverse mutations within the sci1 promoter, essential T6SS structural genes, or the rfaH transcriptional antiterminator. We identified two RfaH-binding ops elements within the sci1 cluster, revealing antitermination as a regulatory element of EAEC T6SS transcription, which is conserved among Enterobacteriaceae. Our findings highlight how experimental evolution can reveal the selective forces shaping T6SS maintenance and identify new regulatory components controlling its activity.

Journal Article↗
PubMed2026

Building CRISPR immunity: evolution and mechanisms of spacer acquisition.

CRISPR-Cas systems in prokaryotes serve as adaptive immune systems that neutralize phage infections through RNA-guided nucleases. Immunization is achieved during the adaptation stage through Cas1-Cas2 integrase-mediated insertion of short foreign DNA snippets, termed spacers, into a CRISPR array in the host genome. This review examines the evolutionary origins of Cas1-Cas2 and the mechanisms of spacer acquisition in DNA-targeting CRISPR-Cas systems. Particular emphasis is placed on the recently characterized effector-assisted adaptation pathways, in which CRISPR effector proteins, such as Cascade and Cas9, typically involved in target interference, are repurposed for prespacer capture and integration into a CRISPR array.

CRISPR–Cas spacer acquisition↗
PubMed2025

Harnessing deep learning for proteome-scale detection of amyloid signaling motifs.

MOTIVATION: Amyloid signaling sequences adopt the cross-β fold that is capable of self-replication in the templating process. Propagation of the amyloid fold from the receptor to the effector protein is used for signal transduction in the immune response pathways in animals, fungi, and bacteria. So far, a dozen of families of amyloid signaling motifs (ASMs) have been classified. Unfortunately, due to the wide variety of ASMs it is difficult to identify them in large protein databases available, which limits the possibility of conducting experimental studies. To date, various deep learning (DL) models have been applied across a range of protein-related tasks, including domain family classification and the prediction of protein structure and protein-protein interactions. RESULTS: In this study, we develop tailor-made bidirectional LSTM and BERT-based architectures to model ASM, and compare their performance against a state-of-the-art machine learning grammatical model. Our research is focused on developing a discriminative model of generalized ASMs, capable of detecting ASMs in large datasets. The DL-based models are trained on a diverse set of motif families and a global negative set, and used to identify ASMs from remotely related families. We analyze how both models represent the data and demonstrate that the DL-based approaches effectively detect ASMs, including novel motifs, even at the genome scale. AVAILABILITY AND IMPLEMENTATION: The models are provided as a Python package, asmscan-bilstm, and a Docker image at https://github.com/chrispysz/asmscan-proteinbert-run. The source code can be accessed at https://github.com/jakub-galazka/asmscan-bilstm and https://github.com/chrispysz/asmscan-proteinbert. Data and results are at https://github.com/wdyrka-pwr/ASMscan.

Deep Learning↗
PubMed2026

Interspecies Exchange of Mobile Genetic Elements During a Plant Disease Outbreak.

Outbreak sequencing provides insight into the origin and evolutionary processes acting on emerging pathogens. Sequencing a historic multihost outbreak of Ralstonia spp. in Martinique shows the outbreak was caused by two lineages that diverged at separate times from mainland populations. One lineage (Ralstonia pseudosolanacearum I-18) was originally introduced from Asia to South America, where it became well established prior to its dissemination to Martinique, where it retains a signature of specialization on solanaceous hosts. The novel lineage first identified during the outbreak (Ralstonia solanacearum IIB-4NPB) arose from a mainland population endemic to the Americas prior to its arrival in Martinique, where host-range expansion was observed. In contrast to minor changes in secreted effector protein repertoires, the emergent R. solanacearum IIB-4NPB acquired a novel integrative and conjugative element (ICERsoRUN1145). After identifying all Ralstonia spp. ICEs and mapping their spatial and phylogenetic distribution among Ralstonia spp. sampled during the outbreak, we found closely related ICEs circulating in mainland populations of R. pseudosolanacearum, indicating likely exchange between introduced and endemic Ralstonia spp. The family of ICEs in Ralstonia (ICERs) has a conserved bipartite structure and display a striking pattern of functional specialization in each cargo gene insertion hotspot: the first hotspot is a target for metabolic gene acquisition, and the second is a target for defense element acquisition. This work provides unparalleled phylogenetic and spatial resolution of an unusual outbreak and highlights the role of horizontal transfer in shaping the ecological success of an emerging pathogen.

Plant Diseases↗
PubMed2025

TrkA of Streptococcus mitis CCUG31611 binds cyclic di-adenosine monophosphate and is required for growth in low potassium conditions.

Cyclic di-adenosine monophosphate (c-di-AMP) is a bacterial second messenger regulating many physiological processes in bacteria. In the oral commensal species Streptococcus mitis, c-di-AMP is involved in regulating metabolism, growth, colony morphology, chain length, biofilm formation and DNA stress tolerance. However, no c-di-AMP-regulated effector proteins have yet been characterized in S. mitis. In this study, we first show that a ΔcdaA mutant, unable to produce c-di-AMP, grows slowly under low environmental potassium conditions. Growth of the cdaA mutant was not restored by reintroducing cdaA in the original locus (KBcdaA). Whole-genome sequencing of multiple KBcdaA isolates revealed secondary mutations in a putative potassium transporter. The mutations were predicted to result in the truncation of the protein or the alteration of a conserved glycine residue essential for selective potassium uptake, disrupting protein function. A Δpde2 mutant overproducing c-di-AMP survived poorly under high environmental sodium concentrations. We then characterized the potassium transporter regulator protein TrkA. Biochemical analyses of the purified recombinant TrkA protein revealed that it specifically binds c-di-AMP with high affinity in vitro. Using deletion mutants of trkA, we demonstrate that TrkA is essential for growth under low environmental potassium conditions. Ultra-high-performance liquid chromatography coupled to tandem mass spectrometry revealed lower c-di-AMP concentration in the ΔtrkA mutant compared to the WT. This was not due to transcriptional regulation of the expression of the c-di-AMP turnover proteins CdaA, Pde1 or Pde2. C-di-AMP production is not affected by the extracellular potassium concentrations under the conditions tested. We also demonstrate a potential role of TrkA in UV stress tolerance but do not characterize the mechanism in this study.

Potassium↗
PubMed2025

Mapping genetic and phenotypic diversity of Pseudomonas aeruginosa across clinical and environmental isolation sites.

Pseudomonas aeruginosa is a clinically significant opportunistic pathogen adept at thriving in both host-associated and environmental settings. To define the extent to which P. aeruginosa isolates specialize across niches and identify genotype-phenotype correlates, we performed whole genome sequencing and comprehensive phenotypic characterization of 125 P. aeruginosa isolates from diverse clinical and environmental sites, evaluating virulence-associated traits, including motility, cytotoxicity, biofilm formation, pyocyanin production, and antimicrobial susceptibility. We identify that genomic diversity does not correlate with isolation source or most virulence phenotypes. Instead, we find that the two major P. aeruginosa clades (Groups A and B) delineate phylogeny and cytotoxicity, with Group B strains showing significantly higher cytotoxicity than Group A. Sequence analysis revealed previously uncharacterized alleles of genes encoding type III secretion effector proteins. We observed high variability amongst strains and isolation sources in all four assayed virulence phenotypes. Antimicrobial resistance (AMR) is exclusively observed in clinical isolates, not environmental, reflecting antibiotic exposure-driven selection. Bacterial GWAS revealed a statistically significant association between cytotoxicity and exoU presence, and we identified a novel exoU allelic variant with decreased cytotoxicity, demonstrating that functional diversity within well-characterized virulence factors may still influence pathogenic outcomes. In summary, our analyses of 125 diverse isolates suggest that the ability of P. aeruginosa to thrive across diverse niches is driven by broadly conserved genetic repertoire rather than niche-specific accessory genes.

Journal Article↗
PubMed2025

The Salmonella pathogenicity island 1-encoded small RNA InvR mediates post-transcriptional feedback control of the activator HilA in Salmonella.

UNLABELLED: Salmonella Pathogenicity Island 1 (SPI1) encodes a Type-3 secretion system (T3SS) essential for Salmonella invasion of intestinal epithelial cells. Many environmental and regulatory signals control SPI1 gene expression, but in most cases, the molecular mechanisms remain unclear. Many regulatory signals control SPI1 at a post-transcriptional level, and we have identified a number of small RNAs (sRNAs) that control the SPI1 regulatory circuit. The transcriptional regulator HilA activates the expression of the genes encoding the SPI1 T3SS structural and primary effector proteins. Transcription of hilA is controlled by the AraC-like proteins HilD, HilC, and RtsA. The hilA mRNA 5' untranslated region (UTR) is ~350 nucleotides in length and binds the RNA chaperone Hfq, suggesting it is a likely target for sRNA-mediated regulation. We used rGRIL-seq (reverse global sRNA target identification by ligation and sequencing) to identify sRNAs that bind to the hilA 5' UTR. The rGRIL-seq data, along with genetic analyses, demonstrate the SPI1-encoded sRNA invasion gene-associated RNA (InvR) base pairs at a site overlapping the hilA ribosome binding site. HilD and HilC activate both invR and hilA. InvR, in turn, negatively regulates the translation of the hilA mRNA. Thus, the SPI1-encoded sRNA InvR acts as a negative feedback regulator of SPI1 expression. Our results suggest that InvR acts to fine-tune SPI1 expression and prevents overactivation of hilA expression, highlighting the complexity of sRNA regulatory inputs controlling SPI1 and Salmonella virulence. IMPORTANCE: Salmonella Typhimurium infections pose a significant public health concern, leading to illnesses that range from mild gastroenteritis to severe systemic infection. Infection requires a complex apparatus that the bacterium uses to invade the intestinal epithelium. Understanding how Salmonella regulates this system is essential for addressing these infections effectively. Here, we show that the small RNA (sRNA) InvR imposes a negative feedback regulation on the expression of the invasion system. This work underscores the role of sRNAs in Salmonella's complex regulatory network, offering new insights into how these molecules contribute to bacterial adaptation and pathogenesis.

Genomic Islands↗
PubMed2026

Metagenomic insights into mechanisms of coral larval settlement induction and inhibition by marine biofilms.

BACKGROUND: Biofilms are essential to larval settlement in many marine invertebrates, yet the mechanisms driving settlement induction or inhibition in corals remain poorly resolved. This challenge lies in the vast taxonomic and functional diversity of marine biofilms, making it difficult to identify cues associated with settlement. To address this, we analysed the metagenomes of biofilms used to induce settlement (attachment and metamorphosis) of four broadcast-spawning non-acroporid coral species: Dipsastrea favus, Platygyra sinensis, Echinophyllia aspera and Porites lobata. Biofilms were developed for one or two months, under light or dark treatments, with light biofilms inducing significantly higher settlement than dark biofilms. RESULTS: Gene composition varied strongly among treatments, with light biofilms enriched in genes encoding carotenoid biosynthesis and nitrate reduction, while dark biofilms encoded more genes for denitrification and nitric oxide production. Modelling revealed the abundance of genes encoding GABA biosynthesis and the type III secretion system (SS) were positively associated with settlement, while genes encoding the type II secretion system, flagellar and lipopolysaccharides were negatively associated. Genes predicted to promote settlement were concentrated in metagenome assembled genomes (MAGs) assigned to Flavobacteriaceae, Rhodobacteraceae and Pirellulaceae, consistent with previous research identifying these lineages as potential inducers. While we detected homologues of some biosynthesis genes for the settlement-inducing compounds cycloprodigiosin and tetrabromopyrrole in the MAGs, pathways were incomplete suggesting additional compounds promote settlement on these biofilms. CONCLUSIONS: These findings link biofilm metagenomics to coral larval settlement for the first time, suggesting carotenoids may attract larvae to biofilm surfaces, while GABA may promote searching and attachment. Additional compounds, for example cycloprodigiosin, tetrabromopyrrole or effector proteins, may be required to complete metamorphosis, however the specific compounds responsible likely vary across biofilm communities and suggest multiple mechanisms can lead to settlement. Simultaneously, elevated levels of nitric oxide, type II SS exudates or an abundance of flagellar potentially inhibit the settlement process. This study advances our understanding of the complex microbial processes underpinning coral larval settlement.

Biofilm↗
PubMed2025

Genome-wide identification of modulators of Chlamydia trachomatis parasitophorous vacuole stability highlights an important role for sphingolipid supply.

A mechanistic understanding of how intracellular pathogens evade the intrinsic defenses of their host cells could open up intriguing therapeutic opportunities. Here, we applied a genome-wide genetic screening approach to investigate the nature of the defensive host cell death response suppressed by the membrane trafficking modulator CpoS, an effector protein secreted by the obligate intracellular bacterial pathogen Chlamydia trachomatis. Initially, this work revealed a CpoS-deficient mutant to exhibit a markedly increased dependence on host cellular synthesis of ceramides, the precursors of complex sphingolipids. Using novel microscopic reporters, we then established CpoS' role in defense evasion to occur by preserving the integrity of Chlamydia's parasitophorous vacuole (the inclusion) via ensuring an adequate sphingolipid supply. More specifically, we observed CpoS deficiency to destabilize inclusions, initially characterized by a release of individual bacteria into the host cell cytosol, then followed by inclusion rupture concomitant with host cell death. Exogenous addition of sphingosine stabilized CpoS-deficient inclusions, whereas disruption of host cellular ceramide synthesis destabilized wild-type inclusions. In combination, CpoS deficiency and impaired ceramide synthesis - presumably disrupting both Chlamydia's vesicular and non-vesicular sphingolipid supply routes - destabilized inclusions even earlier, resulting in infection clearance and host cell survival rather than host cell death. Overall, this study highlights how the vacuolar pathogen C. trachomatis maintains vacuole integrity by ensuring a steady sphingolipid supply, potentially offering inspiration and directions for future therapeutic strategies targeting parasitophorous vacuoles.

Chlamydia trachomatis↗
PubMed1978

Phosphorylated proteins as physiological effectors.

A variety of neurotransmitters, hormones, and other regulatory agents affect the phosphorylation of specific proteins in their target tissues. The types of stimuli that share this common effect on protein phosphorylation include numerous substances that do not act through cyclic AMP. These and other observations suggest that many different classes of regulatory substances achieve certain of their biological effects by altering the phosphorylation of specific proteins.

Animals↗
PubMed2026

Conserved protein folds underpin the diversification of secreted proteins in a fungal pathogen.

BACKGROUND: During host colonization, fungal plant pathogens secrete effector-like proteins that alter host cell physiology and target plant-associated microbes. However, rapid evolution and low sequence conservation hinder the study and characterization of these proteins. The fungus Zymoseptoria passerinii infects Hordeum spp. and includes lineages adapted to wild and domesticated barley. To date, the evolution of effector-like proteins in this species has not been addressed. RESULTS: We combined multiple structure-based and network analyses to unravel the secretome of Z. passerinii. We first compared AlphaFold2 and ESMFold predictions to establish the baseline for structural analyses. We identified 72 structural clusters in the secretome, revealing fold-level relationships across divergent sequences. We showed that effector-like proteins with predicted host immune-interfering functions evolved from a limited group of protein folds, whereas proteins with predicted antimicrobial properties were distributed across fold groups. Physicochemical comparisons indicate that putative antimicrobial effectors predominantly emerged through amino acid replacements on common effector-enriched scaffolds in Z. passerinii, reconfiguring surface charge and electrostatics. We analyzed intra- and interspecific variation in selected effector-enriched families by comparing Z. passerinii proteins and homologs across the genus Zymoseptoria. We describe constrained core folds, with local variation in loop and surface-exposed regions, consistent with fold stability while still enabling protein diversification. We further report that putative antimicrobial effector homologs are broadly distributed across the genus despite sequence divergence. CONCLUSIONS: The secretome of Z. passerinii is organized around common structural folds that support diverse biological roles, including host manipulation and host-associated microbial interactions. Conserved scaffolds combined with surface and physicochemical variation likely contribute to rapid adaptive evolution of effector-like proteins in Z. passerinii.

Fungal Proteins↗