A perfect fit: Bacteriophage receptor-binding proteins for diagnostic and therapeutic applications

[Phage endolysins-a novel class of antibacterial agents with a wide range of applications]

As "enzybiotics," endolysins represent a new class of antibacterial agents that are naturally produced at the end of the lytic cycle in bacteriophage-infected bacterial cells to enable the phage particles formed to be released from the inside of the host cell. Their enzymatic effect on the cell wall peptidoglycan, which leads to lysis of the infected bacteria, can also be exerted externally as an applied agent. While the endolysin activity can be directly effective in Gram-positive bacteria, the endolysin must be modified for activity against Gram-negative bacteria so that it can overcome the outer cell membrane. For this reason, and to optimize endolysin specificity and stability, endolysins are increasingly being genetically modified and produced recombinantly, which is relatively easy to achieve due to their modular structure consisting of lytic and binding domains. Endolysins have already found increasing actual or extensively postulated use for preventive, therapeutic, and diagnostic purposes in human and veterinary medicine as well as in food safety, biotechnology, and the One Health sector; however, this still needs to be better substantiated by valid studies. Although, in contrast to phage therapy, the regulatory aspects can follow the approval procedures also required for other pharmaceuticals, only less than a dozen randomized controlled studies of phases 1 to 3 have been initiated or completed in the field of human medicine. Only very few endolysin formulations approved as medical products are currently available on the market and approval as medicinal drugs is being sought for some endolysins.

Engineering bacteriophages through deep mining of metagenomic motifs

Bacteriophages can adapt to new hosts by altering sequence motifs through recombination or convergent evolution. Where these motifs exist and what fitness advantage they confer remains largely unknown. We report a new method, Metagenomic Sequence Informed Functional Scoring (Meta-SIFT), to find sequence motifs in metagenomic datasets to engineer phage activity. Meta-SIFT uses experimental deep mutational scanning data to create sequence profiles to mine metagenomes for functional motifs invisible to other searches. We experimentally tested ~17,000 Meta-SIFT-derived sequence motifs in the receptor binding protein of the T7 phage. The screen revealed thousands of T7 variants with novel host specificity with motifs sourced from distant families. Position, substitution, and location preferences dictated specificity across a panel of 20 hosts and conditions. To demonstrate therapeutic utility, we engineered active T7 variants against foodborne pathogen Escherichia coli O121. Meta-SIFT is a powerful tool to unlock the potential encoded in phage metagenomes to engineer bacteriophages.

Advancements in protein structure prediction: A comparative overview of AlphaFold and its derivatives

This review provides a comprehensive analysis of AlphaFold (AF) and its derivatives (AF2 and AF3) in protein structure prediction. These tools have revolutionized structural biology with their highly accurate predictions, driving progress in protein modeling, drug discovery, and the study of protein dynamics. Its exceptional accuracy has redefined our understanding of protein folding, which enables groundbreaking advancements in protein design, disease research and discusses future integration with experimental techniques. In addition, their achievement features, architectures, important case studies, and noteworthy effects in the field of biology and medicine were evaluated. In consideration of the fact that AF2 is a relatively recent innovation, it has already been taken into account in many studies that highlight its applications in many ways. Moreover, the limitations of AF2 that directed to the introduction of AF3 are also reported, which is a great improvement as it provides precise predictions of the structures and interactions of proteins, DNA, RNA, and ligands, thereby aiding in the understanding of the molecular level. Addressing current challenges and forecasting future developments, this work underscores the lasting significance of AF in reshaping the scientific landscape of protein research.

Phage Therapy for Mycobacteria: Overcoming Challenges, Unleashing Potential

Bacteriophage (phage) therapy is emerging as a promising alternative to traditional antibiotics for treating drug-resistant mycobacterial infections, including Mycobacterium tuberculosis complex (MTBC) and non-tuberculous mycobacteria (NTM) [...].

Phage-derived proteins: Advancing food safety through biocontrol and detection of foodborne pathogens

The emergence of antimicrobial-resistant foodborne pathogens poses a continuous health risk and economic burden as they can easily spread through contaminated food. Therefore, the demand for new antimicrobial agents to address this problem is steadily increasing. Similarly, the development of rapid, sensitive, and accurate pathogen detection tools is a prerequisite for ensuring food safety. Phage-derived proteins have become innovative tools for combating these pathogens because of their potent antimicrobial activity and host specificity. Phage proteins are relatively free from regulation compared to phages per se, and there are no concerns about the transduction of harmful genes. With recent progress in next-generation sequencing technology, the analysis of phage genomes has become more accessible, and numerous phage proteins with potential for biocontrol and detection have been identified. This review provides a comprehensive overview of phage protein research on food safety from 2006 to the present, a pivotal period marked by the certification of phages as Generally Recognized As Safe (GRAS). Emphasizing recent advancements, we investigated the diverse applications of various phage proteins for biocontrol and detection purposes. While highlighting the successful implementation of these proteins, we also address the current bottlenecks and propose strategies to overcome these challenges. By summarizing the current state of research on phage-derived proteins, this review contributes to a deeper understanding of their potential as effective antimicrobial agents and tools for detecting foodborne pathogens.

Potential of nanocarrier-mediated delivery of vancomycin for MRSA infections

INTRODUCTION

Methicillin-resistant Staphylococcus aureus (MRSA) threatens global health due to its resistance to vancomycin, which is the standard treatment despite limitations, including nephrotoxicity and low intracellular permeability. This necessitates the development of innovative strategies such as nanocarrier-mediated delivery to overcome such limitations. Nanocarriers serve as delivery systems for vancomycin and exhibit inherent antibacterial properties, potentially providing synergism and overcoming MRSA's resistance. Nanocarriers provide sustained release and targeted delivery of vancomycin to the infection site, achieving higher therapeutic concentrations and superior antibacterial activity with reduced doses, which minimizes systemic toxicity. Moreover, leveraging simulations techniques provides more insights on vancomycin-nanocarrier interactions, facilitating the optimization of nanosystems.

AREAS COVERED

The article discusses the potential of nanocarriers in delivering vancomycin to infection site, reducing systemic toxicity, and potentiating anti-MRSA activity. Additionally, it reviews modeling and simulation studies to provide a deeper understanding of vancomycin-nanocarrier interactions. The literature search included experimental articles from 2017 to 2024, searched in Web of Science, Google scholar, PubMed, and Scopus.

EXPERT OPINION

Nanocarrier-mediated delivery of vancomycin offers promising approaches to combat MRSA infections by enhancing therapeutic efficacy and reducing systemic toxicity. However, further research is required to optimize these nanoformulations and advance them to clinical trials and practical applications.

Phage treatment of multidrug-resistant bacterial infections in humans, animals, and plants: The current status and future prospects

Phages, including the viruses that lyse bacterial pathogens, offer unique therapeutic advantages, including their capacity to lyse antibiotic-resistant bacteria and disrupt biofilms without harming the host microbiota. The lack of new effective antibiotics and the growing limitations of existing antibiotics have refocused attention on phage therapy as an option in complex clinical cases such as burn wounds, cystic fibrosis, and pneumonia. This review describes clinical cases and preclinical studies in which phage therapy has been effective in both human and veterinary medicine, and in an agricultural context. In addition, critical challenges, such as the narrow host range of bacteriophages, the possibility of bacterial resistance, and regulatory constraints on the widespread use of phage therapy, are addressed. Future directions include optimizing phage therapy through strategies ranging from phage cocktails to broadening phage host range through genetic modification, and using phages as vaccines or biocontrol agents. In the future, if phage can be efficiently delivered, maintained in a stable state, and phage-antibiotic synergy can be achieved, phage therapy will offer much needed treatment options. However, the successful implementation of phage therapy within the current standards of practice will also require the considerable development of regulatory infrastructure and greater public acceptance. In closing, this review highlights the promise of phage therapy as a critical backup or substitute for antibiotics. It proposes a new role as a significant adjunct to, or even replacement for, antibiotics in treating multidrug-resistant bacterial infections.

Ethical bioprospecting and microbial assessments for sustainable solutions to the AMR crisis

Antimicrobial resistance (AMR) has been declared one of the top 10 global public health challenges of our age by the World Health Organization, and the World Bank describes AMR as a crisis affecting the finance, health, and agriculture sectors and a major threat to the attainment of Sustainable Development Goals. But what is AMR? It is a phenotype that evolves in microbes exposed to antimicrobial molecules and causes dangerous infections. This suggests that scientists and healthcare workers should be on the frontline in the search for sustainable solutions to AMR. Yet AMR is also a societal problem to be understood by everyone. This review aims to explore the need to address the problem of AMR through a coherent, international strategy with buy-in from all sectors of society. As reviewed here, the sustainable solutions to AMR will be driven by better understanding of AMR biology but will require more than this alone to succeed. Some advances on the horizon, such as the use of bacteriophage (phage) to treat AMR infections. However, many of the new technologies and new therapeutics to address AMR require access to biodiversity, where the custodians of that biodiversity-and the traditional knowledge required to access it-are needed as key partners in the scientific, clinical, biotechnological, and international ventures that would treat the problem of AMR and ultimately prevent its further evolution. Many of these advances will be built on microbial assessments to understand the extent of AMR in our environments and bioprospecting to identify microbes that may have beneficial uses. Genuine partnerships for access to this biodiversity and sharing of benefits accrued require a consideration of ethical practice and behavior. Behavior change is needed across all sectors of culturally diverse societies so that rapid deployment of solutions can be implemented for maximum effect against the impacts of AMR.

PHIStruct: improving phage-host interaction prediction at low sequence similarity settings using structure-aware protein embeddings

MOTIVATION

Recent computational approaches for predicting phage-host interaction have explored the use of sequence-only protein language models to produce embeddings of phage proteins without manual feature engineering. However, these embeddings do not directly capture protein structure information and structure-informed signals related to host specificity.

RESULTS

We present PHIStruct, a multilayer perceptron that takes in structure-aware embeddings of receptor-binding proteins, generated via the structure-aware protein language model SaProt, and then predicts the host from among the ESKAPEE genera. Compared against recent tools, PHIStruct exhibits the best balance of precision and recall, with the highest and most stable F1 score across a wide range of confidence thresholds and sequence similarity settings. The margin in performance is most pronounced when the sequence similarity between the training and test sets drops below 40%, wherein, at a relatively high-confidence threshold of above 50%, PHIStruct presents a 7%-9% increase in class-averaged F1 over machine learning tools that do not directly incorporate structure information, as well as a 5%-6% increase over BLASTp.

AVAILABILITY AND IMPLEMENTATION

The data and source code for our experiments and analyses are available at https://github.com/bioinfodlsu/PHIStruct.

Efficiency of Bacteriophage-Based Detection Methods for Non-Typhoidal Salmonella in Foods: A Systematic Review

Food contamination with non-typhoidal Salmonella (NTS) presents a significant public health risk, underscoring the critical need for rigorous food safety measures throughout the production, distribution, preparation, and consumption stages. Conventional diagnostic strategies are time-consuming and labor-intensive and are thus sub-optimal for throughput NTS detection. Bacteriophages (phages) are highly specialized bacterial viruses and exhibit extreme specificity for their hosts. This organic phage/bacterial interaction provides an invaluable tool that can potentially replace or complement existing S. enterica detection methods. Here, we explored work in this area and reviewed data from PubMed/MEDLINE, Embase, and ScienceDirect up to 4 November 2024. Thirty-five studies were selected from 607 retrieved articles using the JBI Critical Appraisal Checklist to ensure quality. Salmonella enrichment, rapid detection, and effective recovery in diverse food sources for various NTS serovars were targeted. Utilizing phages as bio-probes alongside lateral flow immunoassays, surface-enhanced Raman spectroscopy, fluorescence, and electrochemistry assays enabled rapid and highly sensitive detection of NTS, achieving limits as low as 7 to 8 CFU/mL within 30 min. Balancing detection sensitivity with rapid analysis time is essential. Further research and development will be pivotal to overcoming challenges and maximizing the efficiency of NTS phage-based detection to ensure optimal food safety.

Characterization of phage HZY2308 against Acinetobacter baumannii and identification of phage-resistant bacteria

BACKGROUND

Acinetobacter baumannii (AB) is a notable cause of hospital-acquired infections, with carbapenem-resistant Acinetobacter baumannii (CRAB) classified as a high-priority critical pathogen. Bacteriophage therapy is emerging as a promising alternative to combat drug-resistant bacterial infections. In this study, a lytic phage, HZY2308, was isolated from hospital sewage, and the biological properties, biosafety and anti-biofilm properties of phage HZY2308 were characterized and identified. Moreover, the antibacterial effect of phage HZY2308 in combination with antibiotics was investigated, and the apparent characteristics of phage-resistant strain AB48-R were demonstrated, which provided data support for further studies to elucidate the mechanism of generating phage resistance.

METHODS

Phage HZY2308 was isolated by double agar plate method using clinical strain AB48 as the host bacterium. The morphology of phage HZY2308 was identified by transmission electron microscopy (TEM), and biological characteristics of phage HZY2308 were identified by host range, the efficiency of plating (EOP), sensitivity to temperature, pH, and chloroform, one-step growth curve, the optimal multiplicity of infection (MOI), and detection of endotoxin and cytotoxicity. Besides, the complete genome map of HZY2308 was constructed using CGview, and the phylogenetic tree of HZY2308 was constructed with MEGA. Additionally, the full genomic sequence of phage HZY2308 and the selected phage were compared using Easyfig. Checkerboard test of phage HZY2308 in combination with tigecycline (TGC) was performed to investigate their synergistic effect and bactericidal kinetics. The effect of HZY2308 on biofilm was investigated by semi-quantitative staining of biofilm with crystal violet, determination of bacterial activity in biofilm by 2,3-Bis (2-methoxy-4-nitro-5-sulfophenyl) -2 H-tetrazolium-5-carboxanilide (XTT) assay and observation of biofilm structure by fluorescence microscopy. Finally, Phage-resistant bacteria AB48-R were characterized by colony-forming capacity, morphology, growth curves, adsorption efficiency, and antibiotic susceptibility assays.

RESULTS

A lytic phage, HZY2308, was isolated from hospital sewage, which exhibited advantageous traits such as a brief incubation period, large burst size, and robust stability. Safety assessments conducted at both genetic and cellular levels also have yielded positive outcomes. Besides, phage HZY2308 effectively inhibited AB biofilm formation and disrupted established biofilm structures. Furthermore, a synergistic antibacterial effect was noted when phage HZY2308 was combined with tigecycline. Interestingly, the phage-resistant strain, AB48-R was screened through natural selection. Compared to the wild strain AB48, the adsorption efficiency of the phage to AB48-R diminished. However, AB48-R's sensitivity to antibiotics such as cefepime, gentamicin, amikacin, and tobramycin increased, indicating an evolutionary trade-off.

CONCLUSIONS

Phage HZY2308 shows strong antimicrobial potential, especially in combination with tigecycline, and the phage-resistant strain exhibits increased antibiotic sensitivity.

Cyanophage Engineering for Algal Blooms Control

Cyanobacteria represent a prevalent category of photosynthetic autotrophs capable of generating deleterious algal blooms, commonly known as cyanobacteria harmful algal blooms (cyanoHABs). These blooms often produce cyanotoxins, which pose risks to public health and ecosystems by contaminating surface waters and drinking water sources. Traditional treatment methods have limited effectiveness. Therefore, there is an urgent need for a new approach to effectively manage cyanoHABs. One promising approach is the use of cyanophages, which are viruses that specifically target cyanobacteria. Cyanophages serve as an effective biological control method for reducing cyanoHABs in aquatic systems. By engineering cyanophages, it is possible to develop a highly specific control strategy that minimally impacts non-target species and their propagation in the environment. This review explores the potential application of cyanophages as a strategy for controlling cyanoHABs. It includes the identification and isolation of broad-spectrum and novel cyanophages, with a specific focus on freshwater Microcystis cyanophages, highlighting their broad spectrum and high efficiency. Additionally, recent advancements in cyanophage engineering are discussed, including genome modification, functional gene identification, and the construction of artificial cyanophages. Furthermore, the current state of application is addressed. Cyanophage is a promising control strategy for effectively managing cyanoHABs in aquatic environments.

Phages ZC01 and ZC03 require type-IV pilus for Pseudomonas aeruginosa infection and have a potential for therapeutic applications

There has been a growing interest in bacteriophages as therapeutic agents to treat multidrug-resistant bacterial infections. The present work aimed at expanding the microbiological and molecular characterization of lytic phages ZC01 and ZC03 and investigating their efficacy in the control of Pseudomonas aeruginosa infection in an invertebrate animal model. These two phages were previously isolated from composting using P. aeruginosa strain PA14 as the enrichment host and had their genomes sequenced. ZC01 and ZC03 present, respectively, siphovirus and podovirus morphotypes. ZC01 was recently classified into the genus Abidjanvirus, while ZC03 belongs to Zicotriavirus genus of the Schitoviridae N4-like viruses. Through proteomics analysis, we identified virion structural proteins of ZC01 and ZC03, including a large virion-associated RNA polymerase that is characteristic of N4-like viruses, some hypothetical proteins whose annotation should be changed to virion structural proteins and a putative peptidoglycan hydrolase. Phages ZC01 and ZC03 exhibit a limited yet distinct host range, with moderate to high efficiency of plating (EOP) values observed for a few P. aeruginosa clinical isolates. Phage susceptibility assays in PA14 mutant strains point to the type-IV pilus (T4P) as the primary receptor for phages ZC01 and ZC03, and the major pilin (PilAPA14) is the T4P component recognized by these phages. Moreover, both phages significantly increase survival of Galleria mellonella larvae infected with PA14 strain. Taken together, these results underpin the therapeutic potential of these phages to treat infections by P. aeruginosa and lay the groundwork for a more detailed investigation of phage-bacteria-specific recognition mechanisms.IMPORTANCEPhage therapy is gaining increasing interest in cases of difficult-to-treat bacterial human infections, such as carbapenem-resistant Pseudomonas aeruginosa. In this work, we investigated the molecular mechanism underlying the interaction of the lytic phages ZC01 and ZC03 with the highly virulent P. aeruginosa PA14 strain and their efficacy to treat PA14 infection in Galleria mellonella larvae, a commonly used invertebrate model for phage therapy. We depicted the protein composition of ZC01 and ZC03 viral particles and identified pilin A, the major component of type-4 pilus, as the receptor recognized by these phages. Our findings indicate that phages ZC01 and ZC03 may be further used for developing therapies to treat multidrug-resistant P. aeruginosa infections.

Phage-encoded depolymerases as a strategy for combating multidrug-resistant Acinetobacter baumannii

Acinetobacter baumannii, a predominant nosocomial pathogen, represents a grave threat to public health due to its multiple antimicrobial resistance. Managing patients afflicted with severe infections caused by multiple drug-resistant A. baumannii is particularly challenging, given the associated high mortality rates and unfavorable prognoses. The diminishing efficacy of antibiotics against this superbug underscores the urgent necessity for novel treatments or strategies to address this formidable issue. Bacteriophage-derived polysaccharide depolymerase enzymes present a potential approach to combating this pathogen. These enzymes target and degrade the bacterial cell's exopolysaccharide, capsular polysaccharide, and lipopolysaccharide, thereby disrupting biofilm formation and impairing the bacteria's defense mechanisms. Nonetheless, the narrow host range of phage depolymerases limits their therapeutic efficacy. Despite the benefits of these enzymes, phage-resistant strains have been identified, highlighting the complexity of phage-host interactions and the need for further investigation. While preliminary findings are encouraging, current investigations are limited, and clinical trials are imperative to advance this treatment approach for broader clinical applications. This review explores the potential of phage-derived depolymerase enzymes against A. baumannii infections.

Campycins are novel broad-spectrum antibacterials killing Campylobacter jejuni

Pyocins are high molecular weight bacteriocins produced by Pseudomonas aeruginosa that can be retargeted to new bacterial species by exchanging the pyocin tail fibers with bacteriophage receptor binding proteins (RBPs). Here, we develop retargeted pyocins called campycins as new antibacterials to precisely and effectively kill the major foodborne pathogen Campylobacter jejuni. We used two diverse RBPs (H-fibers) encoded by CJIE1 prophages found in the genomes of C. jejuni strains CAMSA2147 and RM1221 to construct campycin 1 and campycin 2, respectively. Campycins 1 and 2 could target all C. jejuni strains tested due to complementary antibacterial spectra. In addition, both campycins led to more than 3 log reductions in C. jejuni counts under microaerobic conditions at 42 °C, whereas the killing efficiency was less efficient under anaerobic conditions at 5 °C. Furthermore, we discovered that both H-fibers used to construct the campycins bind to the essential major outer membrane protein (MOMP) present in all C. jejuni in a strain-specific manner. Protein sequence alignment and structural modeling suggest that the highly variable extracellular loops of MOMP form the binding sites of the diverse H-fibers. Further in silico analyses of 5000 MOMP sequences indicated that the protein falls into three major clades predicted to be targeted by either campycin 1 or campycin 2. Thus, campycins are promising antibacterials against C. jejuni and are expected to broadly target numerous strains of this human pathogen in nature and agriculture. KEY POINTS: • Campycins are engineered R-type pyocins containing H-fibers from C. jejuni prophages • Campycins reduce C. jejuni counts by >3 logs at conditions promoting growth • Campycins bind to the essential outer membrane protein MOMP in a strain-dependent way.

Discovery and characterisation of new phage targeting uropathogenic Escherichia coli

Antimicrobial resistance is an escalating threat with few new therapeutic options in the pipeline. Urinary tract infections (UTIs) are one of the most prevalent bacterial infections globally and are prone to becoming recurrent and antibiotic resistant. We discovered and characterized six novel Autographiviridae and Guernseyvirinae bacterial viruses (phage) against uropathogenic Escherichia coli (UPEC), a leading cause of UTIs. The phage genomes were between 39,471 bp - 45,233 bp, with 45.0%-51.0% GC%, and 57-84 predicted coding sequences per genome. We show that tail fiber domain structure, predicted host capsule type, and host antiphage repertoire correlate with phage host range. In vitro characterisation of phage cocktails showed synergistic improvement against a mixed UPEC strain population and when sequentially dosed. Together, these phage are a new set extending available treatments for UTI from UPEC, and phage vM_EcoM_SHAK9454 represents a promising candidate for further improvement through engineering.

Biological characterization and genomic analysis of a novel bacteriophage, MopsHU1, infecting Morganella psychrotolerans

Morganella psychrotolerans is a histamine-producing bacterium that causes histamine poisoning. In this study, we isolated and characterized a novel phage, MopsHU1, that infects M. psychrotolerans. MopsHU1 is a podovirus with a limited host spectrum. Genomic analysis showed that MopsHU1 belongs to the family Autographiviridae, subfamily Studiervirinae, and genus Kayfunavirus. Comparative analysis revealed that the MopsHU1 genome is similar to those of Citrobacter phage SH3 and Cronobacter phage Dev2. Moreover, the Escherichia coli phage K1F genome is also similar, except for its tailspike gene sequence. These results expand our understanding of the Kayfunavirus phages that infect Morganella spp. Note: The nucleotide sequence data reported here are available in the DDBJ/EMBL/GenBank database under the accession number LC799501.

Cryo-EM structure of flagellotropic bacteriophage Chi

The flagellotropic bacteriophage χ (Chi) infects bacteria via the flagellar filament. Despite years of study, its structural architecture remains partly characterized. Through cryo-EM, we unveil χ's nearly complete structure, encompassing capsid, neck, tail, and tail tip. While the capsid and tail resemble phage YSD1, the neck and tail tip reveal new proteins and their arrangement. The neck shows a unique conformation of the tail tube protein, forming a socket-like structure for attachment to the neck. The tail tip comprises four proteins, including distal tail protein (DTP), two baseplate hub proteins (BH1P and BH2P), and tail tip assembly protein (TAP) exhibiting minimal organization compared to other siphophages. Deviating from the consensus in other siphophages, DTP in χ forms a trimeric assembly, reducing tail symmetry from 6-fold to 3-fold at the tip. These findings illuminate the previously unexplored structural organization of χ's neck and tail tip.

Review of AlphaFold 3: Transformative Advances in Drug Design and Therapeutics

Google DeepMind Technologies Limited (London, United Kingdom) recently released its new version of the biomolecular structure predictor artificial intelligence (AI) model named AlphaFold 3. Superior in accuracy and more powerful than its predecessor AlphaFold 2, this innovation has astonished the world with its capacity and speed. It takes humans years to determine the structure of various proteins and how the shape works with the receptors but AlphaFold 3 predicts the same structure in seconds. The version's utility is unimaginable in the field of drug discoveries, vaccines, enzymatic processes, and determining the rate and effect of different biological processes. AlphaFold 3 uses similar machine learning and deep learning models such as Gemini (Google DeepMind Technologies Limited). AlphaFold 3 has already established itself as a turning point in the field of computational biochemistry and drug development along with receptor modulation and biomolecular development. With the help of AlphaFold 3 and models similar to this, researchers will gain unparalleled insights into the structural dynamics of proteins and their interactions, opening up new avenues for scientists and doctors to exploit for the benefit of the patient. The integration of AI models like AlphaFold 3, bolstered by rigorous validation against high-standard research publications, is set to catalyze further innovations and offer a glimpse into the future of biomedicine.

Binding activity and specificity of tail fiber protein 35Q for Salmonella pullorum

Salmonella, a prevalent pathogen with significant implications for the poultry industry and food safety, presents a global public health concern. The rise in antibiotic resistance has exacerbated the challenge of prevention. Accurate and sensitive detection methods are essential in combating Salmonella infections. Bacteriophages, viruses capable of targeting and destroying bacteria, leverage their host specificity for accurate microbial detection. Notably, the tail fiber protein of bacteriophages plays a crucial role in recognizing specific hosts, making it a valuable tool for targeted microbial detection. This study focused on the tail fiber protein 35Q of Salmonella pullorum (SP) bacteriophage YSP2, identified through protein sequencing and genome analysis. Bioinformatics analysis revealed similarities between 35Q and other Salmonella bacteriophage tail fiber proteins. The protein was successfully expressed and purified using an Escherichia coli expression system, and its binding activity and specificity were confirmed. ELISA assays and adsorption experiments demonstrated that 35Q interacts with the outer membrane protein (OMP) receptor on bacterial surfaces. This investigation provides valuable insights for targeted Salmonella detection, informs the development of specific therapeutics, and enhances our understanding of the interaction between Salmonella bacteriophages and their hosts.

Development of an enzyme-linked phage receptor-binding protein assay (ELPRA) based on a novel biorecognition molecule- receptor-binding protein Gp130 of Pseudomonas aeruginosa bacteriophage Henu5

Pseudomonas aeruginosa is a Gram-negative bacterium associated with life-threatening healthcare-associated infections (HAIs), including burn wound infections, pneumonia and sepsis. Moreover, P. aeruginosa has been considered a pathogen of global concern due to its rising antibiotic resistance. Efficient identification of P. aeruginosa would significantly benefit the containment of bacterial infections, prevent pathogen transmission, and provide orientated treatment options. The accuracy and specificity of bacterial detection are primarily dictated by the biorecognition molecules employed. Lytic bacteriophages (or phages) could specifically attach to and lyse host bacterial cells. Phages' host specificity is typically determined by their receptor-binding proteins (RBPs), which recognize and adsorb phages to particular bacterial host receptors. This makes RBPs promising biorecognition molecules in bacterial detection. This study identified a novel RBP (Gp130) from the P. aeruginosa phage Henu5. A modified enzyme-linked phage receptor-binding protein assay (ELPRA) was developed for P. aeruginosa detection employing Gp130 as biorecognition molecules. Optimized conditions provided a calibration curve for P. aeruginosa with a range from 1.0 × 103 to 1.0 × 107 CFU/mL, with a limit of detection as low as 10 CFU/mL in phosphate-buffered saline (PBS). With VITEKⓇ 2 Compact system identification (40 positives and 21 negatives) as the gold standard, the sensitivity of ELPRA was 0.950 (0.818-0.991), and the specificity was 0.905 (0.682-0.983) within a 95 %confidence interval. Moreover, the recovery test in spiked mouse serum showed recovery rates ranging from 82.79 %to 98.17%, demonstrating the prospect of the proposed ELPRA for detecting P. aeruginosa in biological samples.

Prediction of Klebsiella phage-host specificity at the strain level

Phages are increasingly considered promising alternatives to target drug-resistant bacterial pathogens. However, their often-narrow host range can make it challenging to find matching phages against bacteria of interest. Current computational tools do not accurately predict interactions at the strain level in a way that is relevant and properly evaluated for practical use. We present PhageHostLearn, a machine learning system that predicts strain-level interactions between receptor-binding proteins and bacterial receptors for Klebsiella phage-bacteria pairs. We evaluate this system both in silico and in the laboratory, in the clinically relevant setting of finding matching phages against bacterial strains. PhageHostLearn reaches a cross-validated ROC AUC of up to 81.8% in silico and maintains this performance in laboratory validation. Our approach provides a framework for developing and evaluating phage-host prediction methods that are useful in practice, which we believe to be a meaningful contribution to the machine-learning-guided development of phage therapeutics and diagnostics.

Precise microbiome engineering using natural and synthetic bacteriophages targeting an artificial bacterial consortium

In natural microbiomes, microorganisms interact with each other and exhibit diverse functions. Microbiome engineering, which enables bacterial knockdown, is a promising method to elucidate the functions of targeted bacteria in microbiomes. However, few methods to selectively kill target microorganisms in the microbiome without affecting the growth of nontarget microorganisms are available. In this study, we focused on the host-specific lytic ability of virulent phages and validated their potency for precise microbiome engineering. In an artificial microbiome consisting of Escherichia coli, Pseudomonas putida, Bacillus subtilis, and Lactiplantibacillus plantarum, the addition of bacteriophages infecting their respective host strains specifically reduced the number of these bacteria more than 102 orders. Remarkably, the reduction in target bacteria did not affect the growth of nontarget bacteria, indicating that bacteriophages were effective tools for precise microbiome engineering. Moreover, a virulent derivative of the λ phage was synthesized from prophage DNA in the genome of λ lysogen by in vivo DNA assembly and phage-rebooting techniques, and E. coli-targeted microbiome engineering was achieved. These results propose a novel approach for precise microbiome engineering using bacteriophages, in which virulent phages are synthesized from prophage DNA in lysogenic strains without isolating phages from environmental samples.

An electrochemical biosensor based on phage-encoded protein RBP 41 for rapid and sensitive detection of Salmonella

Salmonellosis caused by Salmonella contaminated food poses a serious threat to human health. The rapid and accurate detection of Salmonella is critical for preventing foodborne illness outbreaks. In this study, an electrochemical biosensor was developed using a newly identified biorecognition element, RBP 41, which is capable of specifically recognizing and binding to Salmonella. The biosensor was constructed through a layer-by-layer assembly of graphene oxide (GO), gold nanoparticles (GNPs), and RBP 41 on a glassy carbon electrode (GCE), with the GNPs amplifying the detection signal. The established biosensor was able to detect Salmonella in concentrations ranging from 3 to 106 CFU/mL within approximately 30 min by using differential pulse voltammetry (DPV) signal, and the estimated detection limit was to be 0.2984 Log10 CFU/mL. The biosensor demonstrated excellent specificity and was effective in detecting Salmonella in food matrices, such as skim milk and lettuce. Overall, this study highlights the potential of phage tail receptor binding proteins in biosensing and the proposed biosensor as a promising alternative for rapid and sensitive Salmonella detection in various samples.

Flagellotropic phages: common yet diverse host interaction strategies

Many bacteriophages (phages) interact with flagella and rely on bacterial motility for successful infection of their hosts. Yet, limited information is available on how phages have evolved to recognize and bind both flagella and subsequent surface receptors for phage DNA injection. Here, we present an update on the current knowledge of flagellotropic phages using a few well-studied phages as examples to unravel the molecular details of bacterial host recognition. We discuss the recent advances in the role of globular exposed flagellin domains and flagella glycosylation in phage binding to the flagella. In addition, we present diverse types of surface receptors and phage components responsible for the interaction with the host. Finally, we point to questions remaining to be answered and new approaches to study this unique group of phages.

New Obolenskvirus Phages Brutus and Scipio: Biology, Evolution, and Phage-Host Interaction

Two novel virulent phages of the genus Obolenskvirus infecting Acinetobacter baumannii, a significant nosocomial pathogen, have been isolated and studied. Phages Brutus and Scipio were able to infect A. baumannii strains belonging to the K116 and K82 capsular types, respectively. The biological properties and genomic organization of the phages were characterized. Comparative genomic, phylogenetic, and pangenomic analyses were performed to investigate the relationship of Brutus and Scipio to other bacterial viruses and to trace the possible origin and evolutionary history of these phages and other representatives of the genus Obolenskvirus. The investigation of enzymatic activity of the tailspike depolymerase encoded in the genome of phage Scipio, the first reported virus infecting A. baumannii of the K82 capsular type, was performed. The study of new representatives of the genus Obolenskvirus and mechanisms of action of depolymerases encoded in their genomes expands knowledge about the diversity of viruses within this taxonomic group and strategies of Obolenskvirus-host bacteria interaction.

Large-scale genomic survey with deep learning-based method reveals strain-level phage specificity determinants

BACKGROUND

Phage therapy, reemerging as a promising approach to counter antimicrobial-resistant infections, relies on a comprehensive understanding of the specificity of individual phages. Yet the significant diversity within phage populations presents a considerable challenge. Currently, there is a notable lack of tools designed for large-scale characterization of phage receptor-binding proteins, which are crucial in determining the phage host range.

RESULTS

In this study, we present SpikeHunter, a deep learning method based on the ESM-2 protein language model. With SpikeHunter, we identified 231,965 diverse phage-encoded tailspike proteins, a crucial determinant of phage specificity that targets bacterial polysaccharide receptors, across 787,566 bacterial genomes from 5 virulent, antibiotic-resistant pathogens. Notably, 86.60% (143,200) of these proteins exhibited strong associations with specific bacterial polysaccharides. We discovered that phages with identical tailspike proteins can infect different bacterial species with similar polysaccharide receptors, underscoring the pivotal role of tailspike proteins in determining host range. The specificity is mainly attributed to the protein's C-terminal domain, which strictly correlates with host specificity during domain swapping in tailspike proteins. Importantly, our dataset-driven predictions of phage-host specificity closely match the phage-host pairs observed in real-world phage therapy cases we studied.

CONCLUSIONS

Our research provides a rich resource, including both the method and a database derived from a large-scale genomics survey. This substantially enhances understanding of phage specificity determinants at the strain level and offers a valuable framework for guiding phage selection in therapeutic applications.

The evaluation of biotechnological potential of Gp144, the key molecule of natural predator bacteriophage K in Staphylococcus aureus hunting mechanism

Bacteriophages, which selectively infect bacteria, and phage-derived structures are considered promising agents for the diagnosis and treatment of bacterial infections due to the increasing antibiotic resistance. The binding of phages to their specific receptors on host bacteria is highly specific and irreversible, and therefore, the characterization of receptor-binding proteins(RBPs), which are key determinants of phage specificity, is crucial for the development of new diagnostic and therapeutic products. This study highlights the biotechnological potential of Gp144, an RBP located in the tail baseplate of bacteriophage K and responsible for adsorption of phageK to S. aureus. Once it was established that recombinant Gp144 (rGp144)is biocompatible and does not exhibit lytic effects on bacteria, its interaction with the host, the binding efficiency and performance were assessed in vitro using microscopic and serological methods. Results showed that rGp144 has a capture efficiency (CE) of over 87% and the best CE score is %96 which captured 9 CFU mL-1 out of 10 CFU mL-1 bacteria, indicating that very low number of bacteria could be detected. Additionally, it was shown for the first time in the literature that rGp144 binds to both S. aureus and methicillin-resistant S. aureus (MRSA) cells in vitro, while its affinity to different Gram-positive bacteria (E. faecalis and B. cereus) was not observed. The findings suggest that rGp144 can be effectively used for the diagnosis of S. aureus and MRSA, and that the use of RBPs in host-phage interaction can be a novel and effective strategy for imaging and diagnosing the site of infection.

Biological Characterization of Pseudomonas fluorescens Phage Pf17397_F_PD1 and Its Application in Food Preservation

In order to explore the application prospects of phages for controlling bacterial contamination, a lytic phage Pf17397_F_PD1 (Later abbreviated as PD1) was isolated from fish guts using Pseudomonas fluorescens ATCC 17397 as the host bacterium. The phage displayed short latency (18 min), long lysis period (212 min), and high lysis volume (1.47 × 102 PFU/each cell). It displayed wide temperature (30-70°C) and pH (4-11) tolerance. Genomic comparison revealed a maximum sequence identity of 48.65% between phage PD1 and other identified phages, indicating that PD1 was a new phage. The phage PD1 significantly inhibited the growth of P. fluorescens in milk and grass carp at 4°C and 25°C. Compared to the negative control, bacterial levels in milk stored at 25°C for 48 h were reduced by 2.71 log CFU/mL and 2.84 log CFU/mL at the multiplicity of infection (MOI) of 100 and 1,000, respectively. In contrast, when grass carp were stored at 25°C for 24 h, the bacterial load was reduced by 1.28 log CFU/g and 2.64 log CFU/g compared to the control (MOI of 100 and 1,000). When the phage was applied for preservation of grass carp blocks, total volatile salt nitrogen (TVB-N) values of phage-treated samples increased by 6.8 mg/100 g and 7.5 mg/100 g at MOI of 100 and 1,000, respectively, after 7 days of storage, which was significantly lower than that of the control group (15.83 mg/100 g). This study showed that phage PD1 was a good natural biological antimicrobial agent against P. fluorescens ATCC 17397.

Deciphering Phage-Host Specificity Based on the Association of Phage Depolymerases and Bacterial Surface Glycan with Deep Learning

Phage tailspike proteins are depolymerases that target diverse bacterial surface glycans with high specificity, determining the host-specificity of numerous phages. To address the challenge of identifying tailspike proteins due to their sequence diversity, we developed SpikeHunter, an approach based on the ESM-2 protein language model. Using SpikeHunter, we successfully identified 231,965 tailspike proteins from a dataset comprising 8,434,494 prophages found within 165,365 genomes of five common pathogens. Among these proteins, 143,035 tailspike proteins displayed strong associations with serotypes. Moreover, we observed highly similar tailspike proteins in species that share closely related serotypes. We found extensive domain swapping in all five species, with the C-terminal domain being significantly associated with host serotype highlighting its role in host range determination. Our study presents a comprehensive cross-species analysis of tailspike protein to serotype associations, providing insights applicable to phage therapy and biotechnology.

Engineering bacteriophages for enhanced host range and efficacy: insights from bacteriophage-bacteria interactions

Bacteriophages, the most abundant organisms on earth, have the potential to address the rise of multidrug-resistant bacteria resulting from the overuse of antibiotics. However, their high specificity and limited host range can hinder their effectiveness. Phage engineering, through the use of gene editing techniques, offers a means to enhance the host range of bacteria, improve phage efficacy, and facilitate efficient cell-free production of phage drugs. To engineer phages effectively, it is necessary to understand the interaction between phages and host bacteria. Understanding the interaction between the receptor recognition protein of bacteriophages and host receptors can serve as a valuable guide for modifying or replacing these proteins, thereby altering the receptor range of the bacteriophage. Research and development focused on the CRISPR-Cas bacterial immune system against bacteriophage nucleic acids can provide the necessary tools to promote recombination and counter-selection in engineered bacteriophage programs. Additionally, studying the transcription and assembly functions of bacteriophages in host bacteria can facilitate the engineered assembly of bacteriophage genomes in non-host environments. This review highlights a comprehensive summary of phage engineering methods, including in-host and out-of-host engineering, and the use of high-throughput methods to understand their role. The main aim of these techniques is to harness the intricate interactions between bacteriophages and hosts to inform and guide the engineering of bacteriophages, particularly in the context of studying and manipulating the host range of bacteriophages. By employing advanced high-throughput methods to identify specific bacteriophage receptor recognition genes, and subsequently introducing modifications or performing gene swapping through in-host recombination or out-of-host synthesis, it becomes possible to strategically alter the host range of bacteriophages. This capability holds immense significance for leveraging bacteriophages as a promising therapeutic approach against antibiotic-resistant bacteria.

Using AlphaFold Predictions in Viral Research

Elucidation of the tertiary structure of proteins is an important task for biological and medical studies. AlphaFold, a modern deep-learning algorithm, enables the prediction of protein structure to a high level of accuracy. It has been applied in numerous studies in various areas of biology and medicine. Viruses are biological entities infecting eukaryotic and procaryotic organisms. They can pose a danger for humans and economically significant animals and plants, but they can also be useful for biological control, suppressing populations of pests and pathogens. AlphaFold can be used for studies of molecular mechanisms of viral infection to facilitate several activities, including drug design. Computational prediction and analysis of the structure of bacteriophage receptor-binding proteins can contribute to more efficient phage therapy. In addition, AlphaFold predictions can be used for the discovery of enzymes of bacteriophage origin that are able to degrade the cell wall of bacterial pathogens. The use of AlphaFold can assist fundamental viral research, including evolutionary studies. The ongoing development and improvement of AlphaFold can ensure that its contribution to the study of viral proteins will be significant in the future.