The potential role of iron-carbon micro-electrolysis materials in curtailing lag-phase stimulates kitchen waste anaerobic digestion at different solid contents: Performance, synergistic effect and microbial response.

High-solid anaerobic digestion (HSAD) of kitchen waste was generally faced to the common problems such as systemic acidification, prolonged lag-phase time and low methane production. Iron-carbon micro-electrolysis (ICME) materials exhibited advantages that porous structure, large specific surface area and excellent conductivity. It was beneficial for organic compounds to hydrolysis. Moreover, ICME materials could establish direct interspecies electron transfer (DIET) pathway between bacteria and methanogens. ICME materials were commonly used to enhance the AD of wastewater, but they were rarely applied to HSAD of kitchen waste. In this study, ICME materials were utilized to enhance HSAD of kitchen waste at different solid content conditions. The results showed that the highest cumulative biogas yield (705.23 mL/g VS) was obtained in the experimental group (TS = 10%), which was 94.15% higher than that of the control group. At the same time, the addiction of ICME could shorten lag-phase time. Electrochemical characteristics and XPS analysis showed that ICME materials promoted the release of Fe2+ in the AD system and acceleration of direct interspecies electron transfer between microorganisms. Microbial community analysis showed that ICME materials enriched electroactive bacteria (Proteiniphilum), Methanosarcina, Methanobrevibacter and Methanofollis. Functional gene prediction revealed that ICME materials increased the relative abundance of carbohydrate transport and metabolism and coenzyme transport and metabolism. It provided a potential measure to treat kitchen waste.

Modern agriculture and One Health.

BACKGROUND: The development of modern agriculture has significantly contributed to improving global food security and safety, alleviating poverty, and enhancing human health and livelihoods. However, the rapid advancement of modern agriculture has also brought about various challenges that limit its sustainable development. This commentary aims to discuss these issues through the One Health lens, and provide valuable insights for balancing modern agricultural activities with the need to protect and promote the health of all the sectors. MAIN TEXT: This commentary explores the multifaceted impacts of modern agriculture on social development, as well as the associated various health challenges and environmental impacts within the One Health framework. Key issues include ecosystem degradation, increased risk of interspecies disease transmission like zoonoses, reverse zoonoses, and vector-borne diseases, and the escalated threat of antimicrobial resistance due to intensified agricultural production and increased antimicrobial use. To address these challenges, this commentary outlines potential solutions anchored in the development and implementation of modern technologies and good agricultural practices, such as precision farming, integrated pest management, biosecurity measures, vaccination programs, as well as surveillance and early detection of health risks. CONCLUSIONS: Good agricultural practices supported by scientific and technological advancements are essential for aligning productivity with the One Health vision, ensuring the health and resilience of all the sectors. Enhancing stakeholder education, strengthening regulatory frameworks, and providing supportive policies and infrastructure for farmers to adopt sustainable practices are crucial for the long-term viability of agrifood systems. The Food and Agriculture Organization of the United Nations plays a pivotal role in guiding this sustainable transformation through the One Health approach.

Predicting host species susceptibility to influenza viruses and coronaviruses using genome data and machine learning: a scoping review.

Introduction: Predicting which species are susceptible to viruses (i.e., host range) is important for understanding and developing effective strategies to control viral outbreaks in both humans and animals. The use of machine learning and bioinformatic approaches to predict viral hosts has been expanded with advancements in in-silico techniques. We conducted a scoping review to identify the breadth of machine learning methods applied to influenza and coronavirus genome data for the identification of susceptible host species. Methods: The protocol for this scoping review is available at https://hdl.handle.net/10214/26112. Five online databases were searched, and 1,217 citations, published between January 2000 and May 2022, were obtained, and screened in duplicate for English language and in-silico research, covering the use of machine learning to identify susceptible species to viruses. Results: Fifty-three relevant publications were identified for data charting. The breadth of research was extensive including 32 different machine learning algorithms used in combination with 29 different feature selection methods and 43 different genome data input formats. There were 20 different methods used by authors to assess accuracy. Authors mostly used influenza viruses (n = 31/53 publications, 58.5%), however, more recent publications focused on coronaviruses and other viruses in combination with influenza viruses (n = 22/53, 41.5%). The susceptible animal groups authors most used were humans (n = 57/77 analyses, 74.0%), avian (n = 35/77 45.4%), and swine (n = 28/77, 36.4%). In total, 53 different hosts were used and, in most publications, data from multiple hosts was used. Discussion: The main gaps in research were a lack of standardized reporting of methodology and the use of broad host categories for classification. Overall, approaches to viral host identification using machine learning were diverse and extensive.

The oral acute toxicity of per- and polyfluoroalkyl compounds (PFASs) to Rat and Mouse: A mechanistic interpretation and prioritization analysis of untested PFASs by QSAR, q-RASAR and interspecies modelling methods.

Per- and polyfluoroalkyl substances (PFASs) are widely used in modern industry, causing many adverse effects on both the environment and human health. In this study, for the first time, we followed OECD guidelines to systematically investigate the quantitative structure-activity relationship (QSAR) of the oral acute toxicity of PFASs to Rat and Mouse using simple 2D descriptors. The Read-Across similarity descriptors and 2D descriptors were also combined to develop the quantitative read-across structure-activity relationship (q-RASAR) models. Interspecies toxicity (iST) correlation was also explored between the two rodent species. All developed QSAR, q-RASAR and iST models met the state-of-the-art validation criteria and were applied for toxicity predictions of hundreds of untested PFASs in true external sets. Subsequently, we performed the priority ranking of the untested PFASs based on the model predictions, with the mechanistic interpretation of the top 20 most toxic PFASs predicted by both QSAR and q-RASAR models. The two univariate iST models were also used for filling the interspecies toxicity data gap. Overall, the developed QSAR, q-RASAR and iST models can be used as effective tools for predicting the oral acute toxicity of untested PFASs to Rat and Mouse, thus being important for risk assessment of PFASs in ecological environment.

Utilizing machine learning and hemagglutinin sequences to identify likely hosts of influenza H3Nx viruses.

Influenza is a disease that represents both a public health and agricultural risk with pandemic potential. Among the subtypes of influenza A virus, H3 influenza virus can infect many avian and mammalian species and is therefore a virus of interest to human and veterinary public health. The primary goal of this study was to train and validate classifiers for the identification of the most likely host species using the hemagglutinin gene segment of H3 viruses. A five-step process was implemented, which included training four machine learning classifiers, testing the classifiers on the validation dataset, and further exploration of the best-performing model on three additional datasets. The gradient boosting machine classifier showed the highest host-classification accuracy with a 98.0 % (95 % CI [97.01, 98.73]) correct classification rate on an independent validation dataset. The classifications were further analyzed using the predicted probability score which highlighted sequences of particular interest. These sequences were both correctly and incorrectly classified sequences that showed considerable predicted probability for multiple hosts. This showed the potential of using these classifiers for rapid sequence classification and highlighting sequences of interest. Additionally, the classifiers were tested on a separate swine dataset composed of H3N2 sequences from 1998 to 2003 from the United States of America, and a separate canine dataset composed of canine H3N2 sequences of avian origin. These two datasets were utilized to look at the applications of predicted probability and host convergence over time. Lastly, the classifiers were used on an independent dataset of environmental sequences to explore the host identification of environmental sequences. The results of these classifiers show the potential for machine learning to be used as a host identification technique for viruses of unknown origin on a species-specific level.

Modulation of fungal phosphate homeostasis by the plant hormone strigolactone.

Inter-kingdom communication through small molecules is essential to the coexistence of organisms in an ecosystem. In soil communities, the plant root is a nexus of interactions for a remarkable number of fungi and is a source of small-molecule plant hormones that shape fungal compositions. Although hormone signaling pathways are established in plants, how fungi perceive and respond to molecules is unclear because many plant-associated fungi are recalcitrant to experimentation. Here, we develop an approach using the model fungus, Saccharomyces cerevisiae, to elucidate mechanisms of fungal response to plant hormones. Two plant hormones, strigolactone and methyl jasmonate, produce unique transcript profiles in yeast, affecting phosphate and sugar metabolism, respectively. Genetic analysis in combination with structural studies suggests that SLs require the high-affinity transporter Pho84 to modulate phosphate homeostasis. The ability to study small-molecule plant hormones in a tractable genetic system should have utility in understanding fungal-plant interactions.

Drivers and consequences of microbial community coalescence.

Microbial communities are undergoing unprecedented dispersion and amalgamation across diverse ecosystems, thereby exerting profound and pervasive influences on microbial assemblages and ecosystem dynamics. This review delves into the phenomenon of community coalescence, offering an ecological overview that outlines its four-step process and elucidates the intrinsic interconnections in the context of community assembly. We examine pivotal mechanisms driving community coalescence, with a particular emphasis on elucidating the fates of both source and resident microbial communities and the consequential impacts on the ecosystem. Finally, we proffer recommendations to guide researchers in this rapidly evolving domain, facilitating deeper insights into the ecological ramifications of microbial community coalescence.

In-host intra- and inter-species transfer of blaKPC-2 and blaNDM-1 in Serratia marcescens and its local and global epidemiology.

OBJECTIVES: The aim of this study was to investigate interspecies transfer of resistance gene blaNDM-1 and intraspecies transfer of resistance gene blaKPC-2 in Serratia marcescens, and explore the epidemical and evolutionary characteristics of carbapenemase-producing S. marcescens (CPSM) regionally and globally. METHODS: Interspecies and intraspecies transfer of blaKPC-2- or blaNDM-1 were identified by antimicrobial susceptibility testing, plasmid conjugation and curing, discovery of transposable units (TUs), outer membrane vesicles (OMVs), qPCR, whole-genome sequencing (WGS) and bioinformatic analysis. The genomic evolution of CPSM strains was explored by cgSNP and maximum-likelihood phylogenetic tree. RESULTS: CPSM S50079 strain, co-carrying blaKPC-2 and blaNDM-1 on one plasmid, was isolated from the blood of a patient with acute pancreatitis and could generate TUs carrying either blaKPC-2 or blaNDM-1. The interspecies transfer of blaNDM-1-carrying plasmid from Providencia rettgeri P50213, producing the identical blaNDM-1-carrying TUs, to S. marcescens S50079K, an S50079 variant via plasmid curing, was identified through blaNDM-1-harbouring plasmid conjugation and OMVs transfer. Moreover, the intraspecies transfer of blaKPC-2, mediated by IS26 from plasmid to chromosome in S50079, was also identified. In another patient, who underwent lung transplantation, interspecies transfer of blaNDM-1 carried by IncX3 plasmid was identified among S. marcescens and Citrobacter freundii as well as Enterobacter hormaechei via plasmid transfer. Furthermore, 11 CPSM from 349 non-repetitive S. marcescens strains were identified in the same hospital, and clonal dissemination, with carbapenemase evolution from blaKPC-2 to both blaKPC-2 and blaNDM-1, was found in the 8 CPSM across 4 years. Finally, the analysis of 236 global CPSM from 835 non-repetitive S. marcescens genomes, retrieved from the NCBI database, revealed long-term spread and evolution worldwide, and would cause the convergence of more carbapenemase genes. CONCLUSIONS: Interspecies transfer of resistance gene blaNDM-1 and intraspecies transfer of resistance gene blaKPC-2 in CPSM were identified. Nosocomial and global dissemination of CPSM were revealed and more urgent surveillance was acquired.

Enhancement of anaerobic treatment of antibiotic pharmaceutical wastewater through the development of iron-based and carbon-based materials: A critical review.

The extensive use of antibiotics has created an urgent need to address antibiotic wastewater treatment, posing significant challenges for environmental protection and public health. Recent advances in the efficacy and mechanisms of conductive materials (CMs) for enhancing the anaerobic biological treatment of antibiotic pharmaceutical wastewater are reviewed. For the first time, the focus is on the various application forms of iron-based and carbon-based CMs in strengthening the anaerobic methanogenic system. This includes the use of single CMs such as zero-valent iron (ZVI), magnetite, biochar (BC), activated carbon (AC), and graphene (GP), as well as iron-based and carbon-based composite CMs with diverse structures. These structures include mixed, surface-loaded, and core-shell combinations, reflecting the development of CMs. Iron-based and carbon-based CMs promote the rapid removal of antibiotics through adsorption and enhanced biodegradation. They also mitigate the inhibitory effects of toxic pollutants on microbial activity and reduce the expression of antibiotic resistance genes (ARGs). Additionally, as effective electron carriers, these CMs enrich microorganisms with direct interspecies electron transfer (DIET) functions, accelerate interspecies electron transfer, and facilitate the conversion of organic matter into methane. Finally, this review proposes the use of advanced molecular detection technologies to clarify microbial ecology and metabolic mechanisms, along with microscopic characterization techniques for the modification of CMs. These methods can provide more direct evidence to analyze the mechanisms underlying the cooperative anaerobic treatment of refractory organic wastewater by CMs and microorganisms.

Simultaneous Production of Biogas and Electricity from Anaerobic Digestion of Pine Needles: Sustainable Energy and Waste Management.

Power scarcity and pollution can be overcome with the use of green energy forms like ethanol, biogas, electricity, hydrogen, etc., especially energy produced from renewable and industrial feedstocks. In hilly areas, pine needles are the most abundant biomass that has a low possibility of valorization due to high lignin content. On the other hand, anaerobic digestion (AD) of lignin and animal waste has low biogas yield due to poor conductivity. This study focuses on the simultaneous production of biogas and electricity through the co-digestion of cow dung and pine needles. The digester was initially established and stabilized in the lab to ensure a continuous supply of inoculum throughout the experiment. The optimization process involved the determination of an ideal cow dung-to-water ratio and selecting the appropriate conductive material that can enhance the energy generation from the feedstock. Afterward, both batch and continuous anaerobic digestion experiments were conducted. The results revealed that the addition of powdered graphite (5 mM), activated charcoal (15 mM), and biochar (25 mM) exhibited maximum voltage of 0.71 ± 0.013 V, 0.56 ± 0.013 V, and 0.49 ± 0.011 V on the 30th, 25th and 20th day of AD, respectively. The batch experiment showed that 5 mM graphite powder enhanced electron transfer in the AD process and generated a voltage of 0.77 ± 0.014 V on the 30th day, indicating an increase of ~1.5-fold as compared to the control (0.56 ± 0.019 V). The results from the continuous AD process showed that the digester with cow dung, pine needle, and a conductive material in combination exhibited the maximum voltage of 0.76 ± 0.012 V on the 21st day of AD, while the digester with cow dung only exhibited a maximum voltage of 0.62 ± 0.015 V on the 22nd day of AD, representing a 1.3-fold increase over the control. Furthermore, the current work used discarded plastic items and electrodes from spent batteries to emphasize waste management and aid in attaining sustainable energy and development goals.

[Characterization of the Ecological Niche and Interspecific Connectivity of Plankton in Baiyangdian Lake by Combining Ecological Networks].

To understand the structure of the plankton community and the ecological niche characteristics of their dominant species, sampling surveys of plankton were conducted in Baiyangdian Lake in the spring （March）, summer （July）, and autumn （September） of 2022. The changes in the plankton community during the three seasons were analyzed by constructing ecological network diagrams, non-metric multidimensional scaling analysis （NMDS）, and the ecological niche width. The niche overlap of zooplankton dominant species was evaluated by the improved Levins' formula and Petraitis' index. The interspecific connectivity of dominant species was judged using the chi-square test and interspecies connectivity coefficients. The results showed that the niche width of plankton in the whole area was low. Zooplankton was dominated by rotifers, and phytoplankton was dominated by diatoms, cyanobacteria, and green algae. There were significant seasonal changes in the community structures of plankton. Compared with that in summer and autumn, there were fewer species of plankton in spring and lower interspecies connectivity. The overlap of dominant species of zooplankton was high in summer, and the interspecific competition was intensified, whereas the interspecific overlap of phytoplankton was at a low level in all three seasons. There was a significant positive correlation （W > χ20.05） between phytoplankton in summer and autumn, and the community structure was stable. The interdomain ecological network of zooplankton and phytoplankton showed a high negative correlation ratio in autumn, especially between copepods and cladoceras of zooplankton and chlorophyta and cyanophyta of phytoplankton. The plankton species in Baiyangdian Lake were abundant, with obvious seasonal differences. The dominant species were mainly a narrow ecological niche. The plankton community was generally in a stable state, and there was a strong predation relationship between copepods and cladoceras and green algae and cyanobacteria.

Species-specific ribosomal RNA-FISH identifies interspecies cellular-material exchange, active-cell population dynamics and cellular localization of translation machinery in clostridial cultures and co-cultures.

The development of synthetic microbial consortia in recent years has revealed that complex interspecies interactions, notably the exchange of cytoplasmic material, exist even among organisms that originate from different ecological niches. Although morphogenetic characteristics, viable RNA and protein dyes, and fluorescent reporter proteins have played an essential role in exploring such interactions, we hypothesized that ribosomal RNA-fluorescence in situ hybridization (rRNA-FISH) could be adapted and applied to further investigate interactions in synthetic or semisynthetic consortia. Despite its maturity, several challenges exist in using rRNA-FISH as a tool to quantify individual species population dynamics and interspecies interactions using high-throughput instrumentation such as flow cytometry. In this work, we resolve such challenges and apply rRNA-FISH to double and triple co-cultures of Clostridium acetobutylicum, Clostridium ljungdahlii, and Clostridium kluyveri. In pursuing our goal to capture each organism's population dynamics, we demonstrate dynamic rRNA, and thus ribosome, exchange between the three species leading to the formation of hybrid cells. We also characterize the localization patterns of the translation machinery in the three species, identifying distinct, dynamic localization patterns among them. Our data also support the use of rRNA-FISH to assess the culture's health and expansion potential, and, here again, our data find surprising differences among the three species examined. Taken together, our study argues for rRNA-FISH as a valuable and accessible tool for quantitative exploration of interspecies interactions, especially in organisms which cannot be genetically engineered or in consortia where selective pressures to maintain recombinant species cannot be used. IMPORTANCE: Though dyes and fluorescent reporter proteins have played an essential role in identifying microbial species in co-cultures, we hypothesized that ribosomal RNA-fluorescence in situ hybridization (rRNA-FISH) could be adapted and applied to quantitatively probe complex interactions between organisms in synthetic consortia. Despite its maturity, several challenges existed before rRNA-FISH could be used to study Clostridium co-cultures of interest. First, species-specific probes for Clostridium acetobutylicum and Clostridium ljungdahlii had not been developed. Second, "state-of-the-art" labeling protocols were tedious and often resulted in sample loss. Third, it was unclear if FISH was compatible with existing fluorescent reporter proteins. We resolved these key challenges and applied the technique to co-cultures of C. acetobutylicum, C. ljungdahlii, and Clostridium kluyveri. We demonstrate that rRNA-FISH is capable of identifying rRNA/ribosome exchange between the three organisms and characterized rRNA localization patterns in each. In combination with flow cytometry, rRNA-FISH can capture sub-population dynamics in co-cultures.

Dissemination of bla NDM-5 Driven by Horizontal Transfer of IncFIA Plasmid Between Escherichia coli and Klebsiella pneumoniae Co-Isolated from a Patient's Ascitic Fluid.

Purpose: Understanding the horizontal transfer of resistance genes, such as bla NDM-5, is pivotal in developing strategies to control the spread of resistance. In this study, we isolated two bacterial strains, Escherichia coli (designated GYB01) and Klebsiella pneumoniae (designated GYB02), from a single patient. The aim of our research is to explore the biological characteristics of these strains and to investigate the interspecies horizontal transfer of bla NDM-5. Materials and Methods: Strain identification and antimicrobial susceptibility testing were conducted using the Vitek 2 system. Both GYB01 and GYB02 were sequenced with the Illumina HiSeq platform. Bioinformatics analysis tools, including multilocus sequence typing, PlasmidFinder, ResFinder, and others, were utilized to analyze the strains. Additionally, conjugation assays and Galleria mellonella infection assays were employed to assess the strains. Results: The isolates exhibited similar antimicrobial resistance profiles and both harbored the bla NDM-5 gene within the IncFIA plasmids (pGYB01-2, 165.8 kb and pGYB02-2, 211.6 kb, respectively). These plasmids (pGYB01-2 and pGYB02-2) shared over 99% homology, suggesting a common ancestral origin. Conjugation experiments confirmed the transferability of the bla NDM-5 carrying IncFIA plasmids among Enterobacteriaceae. GYB02 possessed an iucACD-iutA gene cluster, exhibited high virulence, and tested positive in the string test. Conclusion: Our findings provide direct evidence of potential in vivo interspecies transfer of a multidrug-resistant plasmid, thus enriching our understanding of the mechanisms driving multidrug resistance (MDR) and aiding in the formulation of containment and treatment strategies.

Improving microbial activity in high-salt wastewater: A review of innovative approaches.

The Zero discharge technology has become an important pathroute for sustainable development of high salt wastewater treatment. However, the cohabitation of organic and inorganic debris can cause serious problems such membrane clogging and the formation of hazardous impurity salts that further restrict the recovery of all salt varieties by evaporating and crystallizing. In highly salinized wastewater, biological treatments offer advantages in terms of cost and sustainability when used as a pre-treatment step to eliminate organic debris. On the other hand, high salinity is always a major obstacle to microbial diversity, abundance, and activity, which can result in low organic matter removal effectiveness or the failure of the microbial treatment system. Biofortification techniques can attenuate the negative effects of salt stress and other unfavourable conditions on microorganisms, while the regulation mechanisms of microbial and community collaboration by fortification methods have been an open question. Therefore, a comprehensive summary of the types, mechanisms, and effects of the major biofortification techniques is proposed. This review dialyzes the characteristics and sources of hypersaline wastewater and the main treatment methods. Then, the mechanisms of microbial salt tolerance are summarized and discussed based on microbial characteristics and the protective effects provided by the processes. Finally, the research and application of the main bioaugmentation methods are developed in detail, describing the characteristics, advantages and disadvantages of the different enhancement methods in their implementation. This review provides a more comprehensive perspective on the future engineering applications of bioaugmentation technology, and explores in depth the possibilities of applying biological methods to high-salinity wastewater treatment.

Genome-centric metagenomic analysis reveals mechanisms of quorum sensing promoting anaerobic digestion under sulfide stress: Syntrophic metabolism and microbial self-adaptation.

Sulfide stress is a common inhibition factor in anaerobic digestion systems with sulfur-rich feedstocks. Quorum sensing (QS) signaling molecule N-acyl-homoserine lactones (AHLs) possess positive effect on promoting anaerobic digestion. However, the micro-biological mechanisms of AHLs affecting syntrophic metabolism and microbial self-adaptation have not yet been deciphered in anaerobic digestion under sulfide stress. In this study, the CH4 production increased by 21.34 % at 20 µM AHLs addition in anaerobic digestion under sulfide stress. AHLs contributed to establishing potential syntrophic relationship between acidifying bacteria (unclassified_o__Bacteroidales, Lentimicrobium, Acetoanaerobium, Longilinea, and Sphaerochaetaa) and Methanothrix. AHLs promoted syntrophic metabolism by boosting microbial metabolic activity and interspecies electron transfer (IET) process under sulfide stress. For microbial metabolic activity, AHLs promoted the key enzyme synthesis in acidogenesis and methanogenesis. For IET process, AHLs promoted the assembly and synthesis of conductive pili, and synthesis and secretion of riboflavin. Furthermore, AHLs promoted microbial self-adaptation including two component system, lipopolysaccharide biosynthesis, and DNA repair, which were important evidences that microbial resistance to sulfide stress was enhanced by AHLs. Microbial self-adaptation provided favorable foundation and safeguard for syntrophic metabolisms under sulfide stress. These findings deciphered the micro-biological mechanisms of AHLs enhancing anaerobic digestion under sulfide stress.

Exploring Levels of Interspecies Interaction: Expectations, Knowledge, and Empathy in Human-Dog Relationships.

This exploratory study examines the complex dynamics of human-dog relationships and their impact on interspecies communication. Twelve human-dog dyads were studied using narrative interviews to explore how people perceive their relationships with their dogs. In addition, the dyads engaged in a cooperative task to observe interaction dynamics during everyday activities. This study shows that individual expectations frame interactions and that traditional notions of dog ownership are evolving into more family-like relationships. Effective communication relies on a nuanced mix of verbal and non-verbal cues, with empathy emerging as a fundamental element guiding these interactions. Our findings underline the profound influence of human expectations, knowledge and empathy on communication with dogs. They also highlight the critical role of compatibility between human and dog dyads, and emphasize that such compatibility is a key determinant of satisfaction in interspecies relationships. These findings contribute to a deeper understanding of how human factors modulate communication and satisfaction in human-animal interactions.

ActA-mediated PykF acetylation negatively regulates oxidative stress adaptability of Streptococcus mutans.

Dental caries is associated with microbial dysbiosis caused by the excessive proliferation of Streptococcus mutans in dental biofilms, where oxidative stress serves as the major stressor to microbial communities. The adaptability of S. mutans to oxidative stress is a prerequisite for its proliferation and even for exerting its virulence. Protein acetylation is a reversible and conserved regulatory mechanism enabling bacteria to rapidly respond to external environmental stressors. However, the functions of protein acetylation in regulating oxidative stress adaptability of S. mutans are still unknown. Here, we unveil the impact of acetyltransferase ActA-mediated acetylation on regulating the oxidative stress response of S. mutans. actA overexpression increased the sensitivity of S. mutans to hydrogen peroxide and diminished its competitive ability against Streptococcus sanguinis. In contrast, actA deletion enhanced oxidative stress tolerance and competitiveness of S. mutans. The mass spectrometric analysis identified pyruvate kinase (PykF) as a substrate of ActA, with its acetylation impairing its enzymatic activity and reducing pyruvate production. Supplementation with exogenous pyruvate mitigated oxidative stress sensitivity and restored competitiveness in multi-species biofilms. In vitro acetylation analysis further confirmed that ActA directly acetylates PykF, negatively affecting its enzymatic activity. Moreover, 18 potential lysine-acetylated sites on PykF were identified in vitro, which account for 75% of lysine-acetylated sites detected in vivo. Taken together, our study elucidates a novel regulatory mechanism of ActA-mediated acetylation of PykF in modulating oxidative stress adaptability of S. mutans by influencing pyruvate production, providing insights into the importance of protein acetylation in microbial environmental adaptability and interspecies interactions within dental biofilms. IMPORTANCE: Dental caries poses a significant challenge to global oral health, driven by microbial dysbiosis within dental biofilms. The pathogenicity of Streptococcus mutans, a major cariogenic bacterium, is closely linked to its ability to adapt to changing environments and cellular stresses. Our investigation into the protein acetylation mechanisms, particularly through the acetyltransferase ActA, reveals a critical pathway by which S. mutans modulates its adaptability to oxidative stress, the dominant stressor within dental biofilms. By elucidating how ActA affects the oxidative stress adaptability and competitiveness of S. mutans through the regulatory axis of ActA-PykF-pyruvate, our findings provide insights into the dynamic interplay between cariogenic and commensal bacteria within dental biofilms. This work emphasizes the significance of protein acetylation in bacterial stress response and competitiveness, opening avenues for the development of novel strategies to maintain oral microbial balance within dental biofilms.

Incompatibility in cell adhesion constitutes a barrier to interspecies chimerism.

Interspecies blastocyst complementation holds great potential to address the global shortage of transplantable organs by growing human organs in animals. However, a major challenge in this approach is the limited chimerism of human cells in evolutionarily distant animal hosts due to various xenogeneic barriers. Here, we reveal that human pluripotent stem cells (PSCs) struggle to adhere to animal PSCs. To overcome this barrier, we developed a synthetic biology strategy that leverages nanobody-antigen interactions to enhance interspecies cell adhesion. We engineered cells to express nanobodies and their corresponding antigens on their outer membranes, significantly improving adhesion between different species' PSCs during in vitro assays and increasing the chimerism of human PSCs in mouse embryos. Studying and manipulating interspecies pluripotent cell adhesion will provide valuable insights into cell interaction dynamics during chimera formation and early embryogenesis.

Interspecific cross-talk: The catalyst driving microbial biosynthesis of secondary metabolites.

Microorganisms co-exist and co-evolve in nature, forming intricate ecological communities. The interspecies cross-talk within these communities creates and sustains their great biosynthetic potential, making them an important source of natural medicines and high-value-added chemicals. However, conventional investigations into microbial metabolites are typically carried out in pure cultures, resulting in the absence of specific activating factors and consequently causing a substantial number of biosynthetic gene clusters to remain silent. This, in turn, hampers the in-depth exploration of microbial biosynthetic potential and frequently presents researchers with the challenge of rediscovering compounds. In response to this challenge, the coculture strategy has emerged to explore microbial biosynthetic capabilities and has shed light on the study of cross-talk mechanisms. These elucidated mechanisms will contribute to a better understanding of complex biosynthetic regulations and offer valuable insights to guide the mining of secondary metabolites. This review summarizes the research advances in microbial cross-talk mechanisms, with a particular focus on the mechanisms that activate the biosynthesis of secondary metabolites. Additionally, the instructive value of these mechanisms for developing strategies to activate biosynthetic pathways is discussed. Moreover, challenges and recommendations for conducting in-depth studies on the cross-talk mechanisms are presented.

The robustness of porin-cytochrome gene clusters from Geobacter metallireducens in extracellular electron transfer.

To investigate their roles in extracellular electron transfer (EET), the porin-cytochrome (pcc) gene clusters Gmet0825-0828, Gmet0908-0910, and Gmet0911-0913 of the Gram-negative bacterium Geobacter metallireducens were deleted. Failure to delete all pcc gene clusters at the same time suggested their essential roles in extracellular reduction of Fe(III)-citrate by G. metallireducens. Deletion of Gmet0825-0828 had no impact on bacterial reduction of Fe(III)-citrate but diminished bacterial reduction of ferrihydrite and abolished anode reduction and direct interspecies electron transfer (DIET) to Methanosarcina barkeri and Geobacter sulfurreducens. Although it had no impact on the bacterial reduction of Fe(III)-citrate, deletion of Gmet0908-0910 delayed ferrihydrite reduction, abolished anode reduction, and diminished DIET. Deletion of Gmet0911-0913 had little impact on DIET but diminished bacterial reductions of Fe(III)-citrate, ferrihydrite, and anodes. Most importantly, deletions of both Gmet0825-0828 and Gmet0908-0910 restored bacterial reduction of ferrihydrite and anodes and DIET. Enhanced expression of Gmet0911-0913 in this double mutant when grown in coculture with G. sulfurreducens ΔhybLΔfdnG suggested that this cluster might compensate for impaired EET functions of deleting Gmet0825-0828 and Gmet0908-0910. Thus, these pcc gene clusters played essential, distinct, overlapping, and compensatory roles in EET of G. metallireducens that are difficult to characterize as deletion of some clusters affected expression of others. The robustness of these pcc gene clusters enabled G. metallireducens to mediate EET to different acceptors for anaerobic growth even when two of its three pcc gene clusters were inactivated by mutation. The results from this investigation provide new insights into the roles of pcc gene clusters in bacterial EET. IMPORTANCE: The Gram-negative bacterium Geobacter metallireducens is of environmental and biotechnological significance. Crucial to the unique physiology of G. metallireducens is its extracellular electron transfer (EET) capability. This investigation sheds new light on the robust roles of the three porin-cytochrome (pcc) gene clusters, which are directly involved in EET across the bacterial outer membrane, in the EET of G. metallireducens. In addition to their essential roles, these gene clusters also play distinct, overlapping, and compensatory roles in the EET of G. metallireducens. The distinct roles of the pcc gene clusters enable G. metallireducens to mediate EET to a diverse group of electron acceptors for anaerobic respirations. The overlapping and compensatory roles of the pcc gene clusters enable G. metallireducens to maintain and restore its EET capability for anaerobic growth when one or two of its three pcc gene clusters are deleted from the genome.