Journal of Applied Microbiology

Emergence of multi-drug resistant (MDR) pathogens is facilitated by the mobilization of resistance genes from bacteria in animal and environmental habitats, a process often mediated by plasmids. While fertilization of agricultural soils with manure is hypothesized to serve as a pathway for transferring antimicrobial resistance plasmids to soil and crop bacteria, evidence is limited. In this study, we aimed to determine whether MDR-plasmids from manure transfer in soil, leading to the formation of long-term agricultural resistance reservoirs. To this end, we introduced a known MDR plasmid to agricultural soil where barley was subsequently grown and monitored spread of the plasmid over the course of a growing season (up to 190 days). Our experimental design mimicked conventional agricultural practices at a microcosm scale. A digital droplet PCR approach indicated plasmid transfer in the rhizosphere, which was confirmed by a targeted Hi-C method (termed Hi-C+). This demonstrated transfer of the plasmid to soil bacteria 10 days after barley planting but was not observed afterwards. The new plasmid hosts could not be identified, as plasmid-associated host Hi-C reads were absent from existing databases. This implies these hosts were rare and likely unculturable members of the soil microbiome. Our findings demonstrate that plasmid transfer from manure to soil can occur under conditions reflecting those found in agricultural settings. Furthermore, rare and uncharacterized members of the soil microbiomes may participate in acquiring MDR plasmids from manure bacteria, raising important questions about their role in spreading resistance plasmids.

Urinary tract infection (UTI) is one of the most common community-acquired bacterial infections mainly caused by extraintestinal pathogenic Escherichia coli (ExPEC) strains. The high-risk Escherichia coli ST131 clone is a major global cause of this disease. The lineage rapid dissemination is associated to multidrug resistance (MDR), production of extended-spectrum beta-lactamase (ESBL), and multiple virulence-associated genes. Although we lack information about ExPEC high-risk clones in Latin America, we recently reported an increase in ST131 dissemination in Rio de Janeiro from 2015 to 2019. The present study aims to characterize virulence and resistance molecular and phenotypic features that may contribute to dissemination of E. coli ST131 in Rio de Janeiro, Brazil. We assessed a 133 E. coli ST131 strains collection obtained from urine of outpatients with suspected UTI, in 2019. We determined antimicrobial susceptibility, fluoroquinolones resistance genes, virulence factors associated genes and biofilm production of all strains and analyzed the frequencies by each clade or subclade. A higher incidence of women (92%) and elderly (65%) subjects was observed. Overall resistance to first- and second-line treatment for UTI antimicrobials ampicillin, ciprofloxacin and sulfamethoxazole-trimethoprim was detected in high rates (40%), with a major impact of subclade C2 strains that were resistant to almost all antimicrobials tested, 52% carry ESBL and 66% of strains harbor the aac(6)-Ib-cr ciprpofloxacin resistance gene. Clade B and subclade C2 showed higher virulence scores among the other clades. They present unique virulence profiles characterized by the presence of papGIII, sfa/focDE, and especially ibeA genes in clade B, and the afa/DrBC, papGII, hlyA, cnf1 genes in subclade C2. Over 50% of our strains are biofilm producers, characterized by weak (24%) and strong producers (32%). ESBL and MDR strains harbor mainly papA, papGII, hlyA, cnf1 and kpsMTII genes that plays a key role in ST131 colonization. Subclade C1 is the major biofilm producer (78%), despite its lower virulence score. We also detected higher incidence of papA (27%), hlyA (19%) genes and the RPAI(malX) marker (84%) in biofilm producer strains with a statistical association of sfa/focDE gene (9%). We can infer that Clade C strains might be responsible for ST131 dissemination and persistence in Rio de Janeiro.

Microbial communities play a central role in compost-bedded pack (CBP) systems by driving organic matter decomposition and nutrient cycling. The objective of this study was to characterize and compare the bacterial community structure of CBP from two dairy farms in Cordoba, Argentina, using 16S rRNA gene sequencing. Two CBP systems were evaluated: Martin Bono (MB; 30 months in operation) and Angela Teresa (AT; 20 months). The MB system was established on natural soil without bedding addition and included concrete feed alleys, whereas AT was initiated with peanut shell bedding and lacked concrete alleys. In both systems, compost was tilled twice daily. Two samples per farm were collected at a depth of 30 cm during winter 2019. Raw Illumina reads were processed using the DADA2 pipeline, including quality filtering, error modeling, denoising, and chimera removal. A total of four samples yielded 2,503 amplicon sequence variants (ASVs), with approximately 76% of reads retained after filtering and chimera removal, indicating high-quality sequencing data. Taxonomic analysis revealed that bacterial communities in both systems were dominated by phyla typically associated with compost environments, including Actinobacteriota, Proteobacteria, and Firmicutes. Differences in relative abundance between systems suggested shifts in community composition associated with management conditions.

Enteric methane emissions from ruminant livestock contribute to global warming, creating an urgent need for effective mitigation strategies that do not compromise animal productivity and welfare. Methanogenic archaea within the rumen microbiome drive enteric methane emissions. However, large-scale rumen-fluid sampling in commercial production systems is impractical, due to its invasive nature and the associated logistical challenges. This study hypothesised that rumination enables the capture of rumen microbial signals within the oral cavity and using oral microbiome profiles to provide a practical, non-invasive alternative method for proxy methane phenotyping in commercial production systems. To test the hypothesis, we estimated the oral microbiability, defined as the proportion of phenotypic variance in methane emissions explained by oral microbiome variation. Samples were collected from 209 animals across two trials in Queensland, Australia. Oral microbiome samples were obtained from all animals, with paired rumen samples in one trial, and methane emissions were measured using either the sulphur hexafluoride (SF6) tracer technique or the GreenFeed system. Microbial features were characterised using taxonomic and functional annotations, and microbiability was estimated using mixed linear models incorporating microbiome-based relationship matrices. Although the small sample size limited strong conclusions, the oral microbiability estimates reported in this study were comparable to those derived from rumen samples. Functional microbial profiles generally explained a greater proportion of methane variation than taxonomic profiles, suggesting that microbial function is more closely linked to methane production than community composition alone. However, these differences were not statistically significant due to large standard errors. These findings suggest that oral microbiome sampling potentially provides a practical, minimally invasive, scalable proxy method for methane emissions of individual cattle in grazing systems, where direct methane gas measurements are labour-intensive and difficult to implement. Integrating oral microbiome profiles in the existing breeding model with the host genetics, weight and environmental factors could provide a promising pathway for enabling selection for low emissions and advancing reduced emissions livestock farming under real-world production conditions. Lay summaryCattle produce methane as part of their normal digestion and this contributes to climate change. Reducing methane emission in grazing livestock systems is therefore important. However, measuring methane from individual grazing animals is difficult, costly, and often impractical under commercial conditions. The rumen microbiome has been used as a proxy for estimating methane emissions, but collecting rumen samples is invasive and impractical for large-scale use. Because rumination transfers material from the rumen to the mouth, we investigated whether microbes found in cattle mouths could also be used to estimate how much methane an individual animal produced. We suggest that mouth-swab sampling method can be an alternative to rumen fluid sampling because it was less invasive, relatively quick and practically applicable in commercial conditions. Importantly, the microbiome explained a meaningful proportion of the between-animal variation for methane emission. This suggests that collection of mouth swabs is a potentially scalable alternative proxy method to identify cattle that naturally produce less methane. Overall, our findings support the potential use of oral ruminant microbial information to improve breeding and management strategies aimed at reducing methane emissions while maintaining productive livestock systems. Teaser TextThis study demonstrates that collecting oral swabs from the mouths of grazing beef cattle could provide a scalable method to estimate individual methane emissions in commercial production systems, offering a practical alternative to invasive rumen sampling and complex gas measurement systems. These findings support the development of scalable breeding and management strategies for methane mitigation in large-scale livestock production systems.

Antimicrobial resistance (AMR) is a significant and growing threat to human, plant and animal health, the global economy, and food security. The One Health approach to AMR recognises the role of the environment in the evolution, emergence, and dissemination of AMR. In part, this is due to anthropogenic pollution that releases AMR organisms alongside cocktails of compounds that may select for AMR in situ, which then pose an exposure risk to humans and animals. This has spurred growing interest from cross-sectoral stakeholders in environmental risk assessment (ERA) of antibiotics, with regards to their selective potential. Many different experimental and modelling approaches have been used to determine the lowest concentration of an antibiotic that may select for AMR. Debates continue regarding which individual approach, if any, may be best for determining concentrations of antibiotics that may select for AMR, for ERA purposes. This paper contributes to this ongoing discourse by refining and using a previously published method SELECT (SELection Endpoints in Communities of bacTeria) to rapidly generate predicted no effect concentrations for resistance (PNECRs) for 32 antibiotics on the premise that reduction in growth of complex community of bacteria correlates with selection for AMR resistance genes. The database of PNECRs of antibiotics presented here is the largest generated using a single experimental, empirical approach that will aid future efforts towards creating a standardised test. PNECR data were used to conduct ERAs using measured environmental concentrations of antibiotics to rank antibiotics by potential selection risk in different environments. The experimental approach and statistical code have been made open access, with online tutorials available to facilitate other laboratories using the SELECT 2.0 method. Finally, we discuss the limitations of this approach and how these could be addressed in future studies.

Bacterial interactions-whether positive or negative - are crucial for the functioning of microbial communities. Though bacterial interactions are mainly expected to be negative, the sign and strength of interactions are predicted to be context dependent, with interactions typically being more positive in more stressful and nutrient-poor conditions. However, systematic studies investigating how the environment affects interactions between multiple taxa are lacking. Here, we determine if interactions between a panel of natural soil isolates change in response to the environment in which they are grown, with two different artificial media used (one simple and one complex) and a more ecologically relevant soil wash. To maximise natural variation in interactions, we collected multiple isolates from multiple sites: co-occurring (sympatric) isolates were predicted to show more negative interactions than allopatric isolates because of greater overlap in resource use. Pairwise interactions were in general negative, but more negative when grown in a complex lab-derived medium (Tryptic Soy Broth). Mutually beneficial interactions were most common in a simple resource medium (M9 minimal media) and exploitative interactions were most frequent in a soil broth. These patterns were independent of whether species originated from the same or a different site. The study supports the prediction that nutrient rich environments promote more negative interactions, and that measuring interactions of soil isolates in standard lab media is likely to misrepresent interactions occurring in natural environments.

IntroductionAntimicrobial Resistance (AMR) presents a critical public health challenge, particularly in smallholder broiler farming, where antibiotics are often used preventively in the absence of effective biosecurity measures. ObjectiveThis study investigates the adoption of biosecurity practices as a sustainable alternative to antibiotics through Participatory Systems Mapping and Experimental Games. MethodsA participatory mixed-methods study was conducted in southern Bangladesh (September 2024-June 2025). Causal Loop Diagrams (CLDs) were co-created with farmers, dealers, and veterinary officers. Ten broiler farmers from single village were selected via purposive and snowball sampling. Experimental games simulated four production cycles where farmers chose Option A (biosecurity, adopters) or Option B (antibiotics, non-adopters) after several interactive trainings. Key metrics including biosecurity compliance (0-12 scale), mortality, FCR, antibiotic use, outbreak history, and economic outcomes were recorded. ResultsCLD analysis revealed a reinforcing loop of increased antibiotic reliance driven by fear of mortality, and balancing loops involving training, biosecurity practices, and consumer incentives to reduce use. Five farmers chose Option A, and both groups remained stable until Round 4. Adopters had flock sizes of 800-2000 birds (non-adopters, 600-1000; mean for both = 1000), were younger, and more educated compared to non-adopters. At baseline, both groups had similar biosecurity scores (0). Adopters had higher mean outbreaks (2 vs. 1.4), mortality (5.6 vs. 4.2), antibiotic use (3.6 vs. 3), and FCR (1.8 vs. 1.6) compared to non-adopters. By Round 4, adopters improved biosecurity scores by 125%, eliminated outbreaks, reduced mortality by 52.6%, stopped antibiotic use, improved FCR by 13.3%, and gained 71.72% profit per bird compared to non-adopters. Non-adopters, influenced by adopters, increased biosecurity scores by 25%, reducing outbreaks, mortality, antibiotic use, and FCR. Adopters also increased direct sales to consumers, yielding a 10%-16% profit gain per bird each round. ConclusionThis study highlights the successful adoption of biosecurity practices by farmers, replacing antibiotics and improving production outcomes. Farmer-driven adoption of these practices fosters long-term sustainability and supports a healthier planet within the One Health framework.

BackgroundUnited Kingdom Standards for Microbiology Investigations limits the pre-analytical delay of blood cultures to a maximum of four-hours between collection and incubation. Compliance with this delay standard is a measure of the ability of a microbiology service to support the management of sepsis which is a life-threatening complication of infection. A positive blood culture confirms the infection and an early result is critical to the effective management of the condition. Delayed results lead to the prolongation of empiric broad spectrum antimicrobial therapy which is considered a causal factor in the emergence of antimicrobial resistance. This retrospective observational study documents compliance with the standard by microbiology services in England in 2022/23. The impact of laboratory centralisation on the ability of microbiology services to comply with this standard is examined. MethodsFreedom of Information requests were submitted to 116 National Health Service Trusts/administrative units in England requesting retrospective audit data showing compliance with the recommended pre-analytical delay standard. Data relating to service configuration and cost were also requested. ResultsResponses were received from 89 Trusts (76.7%) managing 146 hospitals. Overall, the rate of compliance was low, with only four hospitals (2.7%) showing full compliance and 31.5% showing >80% compliance. ConclusionsPoor rates of compliance with the PAD standard are a concern as prompt attention to blood cultures improves patient outcomes from sepsis and supports antimicrobial stewardship. Laboratory centralisation has resulted in withdrawal of staff and facilities from some hospitals with insufficient investment in others, leading to a demonstrable inability of many hospitals to comply with this standard. Compliance will require investment in microbiology services. The financial implications of the improvements proposed should be evaluated in the context of overall health care and community benefits.

The Bacillus genus comprises physiologically versatile, endospore-forming bacteria widely distributed in natural environments. In this study, we report the isolation and genomic characterization of strain Bva_UNVM-123, recovered from agricultural soil in Pergamino, Argentina. Whole-genome sequencing using Illumina technology yielded a 5.1 Mbp draft genome assembled in 67 contigs with a GC content of 36%. Comparative genomic analyses using the TYGS server and digital DNADNA hybridization (dDDH) values supported its classification as a potentially novel species within the Bacillus sensu lato (s.l.) group. Genome annotation revealed 4,866 protein-coding genes, including multiple determinants conferring resistance to antibiotics (e.g., fosfomycin, tetracycline, beta-lactams) and toxic heavy metals (e.g., arsenic, cadmium, mercury), supporting its potential application in bioremediation. Additionally, PathogenFinder predicted a low probability of human pathogenicity (0.207), reinforcing its safety for environmental use. Functional classification based on Swiss-Prot further supported a metabolically versatile profile and revealed the presence of resistance-related categories associated with environmental adaptation. This study adds to the growing knowledge of environmental Bacillus species and their biotechnological potential

BackgroundGlobally, seagrass ecosystems are threatened by anthropogenic activities that are leading to increased levels of eutrophication, coastal pollution and thermal conditions. Consequently, there is a growing need to develop new approaches that work to mitigate these stressors and enhance restoration efforts in seagrass meadows. One promising strategy is to identify, isolate and characterize microbial consortia that are likely to support seagrass productivity. However, our current understanding of key microbial functions that support plant growth in marine systems is limited. Based on evidence from terrestrial plant-microbe systems, seagrass-associated bacteria are expected to provide the plant with nitrogen and phosphorus resources while detoxifying sulfur and producing phytohormones. Here, we sequenced 61 bacterial cultures isolated from the rhizosphere, rhizoplane, and endosphere of the seagrass, Zostera marina to identify a consortium of six putative plant growth promoting (PGP) candidates. ResultsOur cultivation approach using plant-based media allowed us to isolate 201 bacteria from Z. marina, which reflected 18% of the total microbial diversity of the starting inoculum. Genomic and phenotypic analyses of the 61-sequenced pure-cultures revealed that most of the sequenced taxa were able to mobilize nitrogen primarily through catabolic pathways, including denitrification (51%), dissimilatory nitrate reduction to ammonia (71%), and C-N bond cleavage (83%). Six of the isolates, which represent new lineages of Agarivorans, coded for the nitrogenase gene cassette. Additionally, 52% of the genomes had genes for sulfur and/or thiosulfate oxidation, 88.5% for phosphorus solubilization, and 60.5% for IAA production. Genomic analysis also revealed that some pathways, including denitrification and dissimilatory nitrite to ammonia DNRA, required cross-species cooperation as no one taxa contained all the genes needed to complete these metabolic pathways. Based on draft genome models and results from phenotypic assays, isolates Streptomyces sp. (Iso23 and Iso384), Mesobacillus sp (Iso127), Roseibuim sp. (Iso195), Peribacillus sp. (Iso49), and Agarivorans sp. (Iso311) represent a minimal microbial community that is likely to promote seagrass growth and enhance restoration efforts. ConclusionOur work provides a detailed genomic and phenotypic analysis of bacteria isolated from Z. marina and identifies a minimal microbial community with complementary PGP traits. Isolating, identifying and characterizing bacteria that promote seagrass growth is critical towards enhancing restoration efforts of seagrass meadows.

ObjectivesMultidrug-resistant (MDR) Klebsiella pneumoniae is an increasingly important cause of recurrent urinary tract infections (UTIs), particularly in high-risk patients such as those with neurogenic bladder, where therapeutic options are limited. Bacteriophage therapy represents a promising alternative, but pre-clinical models and characterization of phages active against UTI-derived strains remain scarce. We therefore aimed to isolate and characterize bacteriophages targeting a clinical MDR K. pneumoniae strain causing recurrent UTI and evaluate their activity under urinary conditions. MethodsThree bacteriophages were isolated from environmental samples using an ESBL-producing K. pneumoniae clinical isolate obtained from a neurogenic bladder patient. Phages were characterized by genome sequencing, electron microscopy, stability assays, one-step growth curves, and host-range analysis across 79 clinical UTI isolates. Phage activity was quantified in LB medium and human urine using bacterial growth kinetics and a lytic activity score. ResultsThree lytic phages from the former siphoviridae family (EDIRA083, EDIRA088, and EDIRA092) belonging to distinct genera were identified. Genomic analysis confirmed the absence of lysogeny-associated, virulence, or antibiotic-resistance genes. Latent periods ranged from 8 to 40 minutes and burst sizes from 38 to 170 virions per infected bacterium. Host-range analysis revealed narrow activity for EDIRA083 and EDIRA088, whereas EDIRA092 infected 29% of the 79 clinical isolates tested. In liquid phage infection assays, overall lytic activity was consistently higher and more sustained in human urine than in LB, suggesting reduced fitness of resistant mutants under urinary conditions. ConclusionsThese results identify three genetically distinct lytic phages targeting MDR K. pneumoniae and highlight the importance of testing phage activity under infection-relevant conditions. Their activity in urine supports further evaluation of these phages as candidates for therapeutic development against MDR Klebsiella UTI.

Antimicrobial resistance (AMR) presents a pressing need to ensure that the right antimicrobials are used to target the right microbes at the right time. Ideally, the appropriate antimicrobial is selected after patient samples have been cultured and assessed with antimicrobial sensitivity testing (AST). However, the time needed for culture-based diagnosis leads to immediate empirical treatment, often with broad-spectrum and/or high-tier antimicrobials. Direct nanopore metagenomic whole genome sequencing to identify pathogens and predict their antimicrobial resistance is a rapid and patient-side alternative. A limitation of this approach is potential inconsistencies in in silico predicted AMR phenotypes. Here, we benchmarked the current performance of in silico AMR prediction strategies for nanopore-generated long read data. Using nanopore data paired with AST phenotyping for 201 samples, we assessed the impact of basecalling mode, data volume, and assembly strategy, and compared the performance of eight in silico AMR prediction tools with seven AMR databases. We found that basecalling accuracy mode does not affect the overall accuracy of in silico AMR predictions, but assembly strategy and data volume both do. Prediction tools using the ResFinder database scored best for balanced accuracy (0.80 {+/-} 0.02 for both ResFinder and ABRicate), whilst DeepARG scored best for sensitivity (0.65 {+/-} 0.03). However, even the best performing in silico AMR prediction strategy missed some resistance identified by lab-based AST. In silico AMR prediction can therefore supplement lab-based AST, but cannot yet replace it. Impact statementAntimicrobial resistance (AMR) is threatening modern standards of human and veterinary healthcare. Rapid and patient-side diagnostic tests are needed to diagnose bacterial infections and allow clinicians to select effective antibiotics. Current tests based on bacterial cultures take several days, which may delay diagnosis and treatment, or lead to inappropriate "just in case" treatment while waiting for the results. In contrast, nanopore metagenomic whole genome sequencing can identify bacterial infections and predict which antibiotics will be effective in minutes to hours. However, the accuracy of these tests is uncertain. We therefore compared the performance of eight AMR prediction tools and seven databases of AMR determinants, using 201 bacterial samples with known antibiotic susceptibility and resistance. We found that the sensitivity (i.e. false negative rate), specificity (i.e. false positive rare) and overall accuracy of the tools and databases varied. In particular, even the best performing AMR prediction methods missed some AMR. Therefore, while these tools are useful for rapid and patient-side diagnosis and treatment decisions, they still have limitations and should be used alongside bacterial cultures and antibiotic sensitivity testing. Data summarySequencing data for the samples sequenced for this study are available at the NCBI under BioProject ID PRJNA1292816 (SRA accessions for all datasets used here are available in Supplementary Table S1). All commands and code used can be found at: https://github.com/nataliering/nanopore_AMR_tools/ The authors confirm all supporting data, code and protocols have been provided within the article or through supplementary data files.

The plant-beneficial bacterium Pseudomonas protegens CHA0 (CHA0) is widely studied for the biological control of soil-borne plant diseases. Beyond its root-colonising capabilities, CHA0 can also infect and kill insect larvae and thus exhibits a multi-host lifestyle shared with other plant- and insect-colonising bacteria. To better understand the robustness of this multi-host lifestyle, we subjected CHA0 to ten consecutive passages through larvae of the pest insect Plutella xylostella via repeated cycles of insect colonisation and killing forcing it into an insect-only lifestyle. Overall, serial passaging did not result in consistent changes in insect killing speed, larval or root colonisation, plant protection efficiency, microbial antagonism or in vitro growth. This suggests that its multi-host lifestyle was conserved following serial passage. Nonetheless, a few independently passaged lines showed an increase in larval killing speed, which in one case might be linked to choline uptake. To disentangle changes specific to the insect host from those arising due to the experimental system itself, we conducted parallel serial passages through the same system while omitting the insect host. In some of these lines, exposure to the background of the system led to changes in microbial antagonism and in in vitro growth, which likely are associated with mutations in regions encoding for regulatory systems. Our findings indicate that P. protegens CHA0 remains phenotypically stable in complex environments such as an insect host, suggesting that the multi-host lifestyle might also be conserved when applied in the field and supporting CHA0s potential for reliable biocontrol performance against both plant diseases and insect pests. Author summaryControlling insect pests with living organisms, known as biological control, offers an environmentally friendly alternative to chemical pesticides. The plant-beneficial bacterium Pseudomonas protegens CHA0 is a promising biocontrol candidate that not only colonizes plant roots but also infects and kills certain insect larvae. This ability to colonize different hosts appears to be a conserved trait also observed in other bacteria. To better understand the robustness of this multi-host lifestyle, we repeatedly exposed CHA0 to larvae of the insect pest Plutella xylostella and assessed the resulting physiological and genetic changes. Surprisingly, after ten cycles, CHA0 largely retained its insect-killing and plant-protective traits. Although a few populations showed minor changes, including slightly faster insect killing and traits associated with aspects of the experimental system, these changes were limited in scope. Overall, our findings suggest that P. protegens CHA0 does not change rapidly in complex environments such as an insect host, supporting its potential for reliable biocontrol performance in the field.

Soil is an important reservoir for antimicrobial resistance (AMR) and increasingly recognized as a pathogen transmission pathway. While studies have detected AMR in soil in various settings, dominant contributors to domestic soil contamination with antimicrobial-resistant organisms in low-income countries remain unidentified. We conducted a cross-sectional study with 237 households in southern Malawi, specifically peri-urban Bangwe near Blantyre, to identify factors associated with the abundance of cefotaxime-resistant E. coli in yard soil. Enumerators employed structured surveys and sampled 30 cm2 of yard soil per household. We used IDEXX Quanti-Tray/2000 with Colilert-18 and cefotaxime supplement to enumerate the most probable number (MPN) of cefotaxime-resistant E. coli per dry gram of soil. We conducted multivariable regression to assess associations between the abundance of cefotaxime-resistant E. coli and household sanitation, animal ownership and management, child health and antibiotic use, and weather. Of 228 soil samples, 68% harbored cefotaxime-resistant E. coli at a mean of 0.90 log10-MPN/dry gram. Compared to households without animals, households had approximately 0.50-log lower mean cefotaxime-resistant E. coli abundance in soil if animals were enclosed at night and 0.50-log higher abundance if they were not (p-values<0.005). Additionally, samples had approximately 0.70-log lower mean cefotaxime-resistant E. coli abundance if soil was dry at the time of collection and if it came from a household in the top wealth quintile (p-values<0.005). Daytime animal confinement, household sanitation, child health, antibiotic use, rainfall, temperature and ambient humidity were not associated with cefotaxime-resistant E. coli abundance. Findings suggest that animal husbandry and soil moisture had stronger associations with cefotaxime-resistant E. coli in soil compared to sanitation or antibiotic use. These results underscore the importance of a One Health approach and the relevance of domestic animals and environmental factors to AMR in soil. Studies should quantify soilborne AMR exposure and evaluate associations with specific animal management/enclosure practices.

BackgroundThis study investigated rumen microbiome reconstitution and methane (CH4) emissions following a complete exchange of rumen contents between low- and high-CH4-yielding Norwegian Red dairy cows. Twenty cows were screened for CH4 yield, and two low and two high emitters were selected for rumen cannulation and content swap. Total rumen contents were swapped after complete evacuation and washing of both the rumen and omasum. Rumen samples were collected twice in weeks -1, 1, 3, and 7 for fermentation analysis, metagenomics, and metaproteomics, and at week 8 CH4 production was measured. ResultsPrior to the swap, low and high emitters produced 21.2 {+/-} 0.7 and 26.3 {+/-} 1.4 g CH4/kg dry-matter intake (DMI), respectively. Eight weeks after swap, CH4 yields were 12.7 {+/-} 0.3 and 28.9 {+/-} 0.3 g CH4/kg DMI, respectively, showing that the CH4 phenotype of each cow was maintained. Analysis of metagenome-derived 16S rRNA gene sequences showed that low emitters gradually re-established their original microbial community, whereas high emitters retained donor-like microbiota. Metaproteomic mapping suggested higher expression of Prevotella-associated succinate-propionate pathway enzymes in low emitters at week 7, though these differences were modest. ConclusionThese findings suggest that host factors influence CH4 output and microbial reconstitution, with low emitters restoring their native microbiome while high emitters retained a donor-associated community yet continued to emit high CH4. Results should be interpreted with caution given the small sample size (n = 2 per phenotype) and require confirmation in larger studies. ImportanceReducing enteric methane from cattle requires understanding whether the rumen microbiome or the host animal is the primary driver of methane output. We exchanged the entire rumen contents between low- and high-methane-yielding dairy cows and measured methane production alongside metagenomic and metaproteomic profiling over two months. Despite receiving each others microbiomes, each cows methane phenotype persisted--low emitters stayed low and high emitters stayed high. Microbiome reconstitution was asymmetric: low emitters restored their original microbial community, while high emitters retained the donor microbiota. Methanogen communities did not differ between phenotypes, pointing to host-level rather than microbial-level control of methane yield. These pilot findings suggest that breeding for favorable host traits may be essential for lasting methane reduction, and that microbiome transfer alone is unlikely to shift an animals methane phenotype. Larger studies are needed to confirm these observations.

Phytophthora species are globally significant soilborne oomycetes responsible for widespread ecosystem decline. Standard soil sampling protocols, originally developed for qualitative baiting assays, typically require collecting substantial soil volumes in order to capture viable propagules. While effective for culture-based detection, these protocols are labour-intensive and can damage the shallow root systems of sensitive host species such as New Zealand kauri (Agathis australis). Phytophthora agathidicida (PA), the pathogen associated with kauri dieback disease, is routinely surveyed using these methods. However, quantitative data describing the vertical distribution of PA in natural forest soils are lacking. Consequently, it remains unclear whether extensive depth sampling is necessary to ensure consistent molecular detection. In this study, we applied a quantitative oospore DNA (oDNA) qPCR assay to characterise the fine-scale vertical distribution of PA across four soil depth increments (0-5, 5-10, 10-15, 15-20 cm) from 12 kauri trees representing a range of disease stages. Results revealed distinct vertical stratification, with PA DNA concentrations peaking within the upper 0-10 cm of soil in non-symptomatic and possibly symptomatic trees. In symptomatic trees, the absolute peak occasionally reached 10-15 cm, while pathogen signals remained consistently detectable within the top 10 cm. Field validation from an additional eight trees confirmed that targeted 0-10 cm "shallow" sampling yielded higher PA concentrations than deeper sampling protocols. These findings provide a data-driven basis for refining soil sampling strategies, enabling more sensitive molecular detection while minimising disturbance and logistical effort in fragile ecosystems. IMPORTANCEPhytophthora species are among the most destructive soilborne pathogens globally, requiring robust diagnostic protocols for both agricultural and conservation settings. Traditional sampling frameworks were established to meet the biological requirements of baiting assays, which often necessitate collecting large soil volumes from broad depth profiles to ensure the capture of viable, infectious propagules. However, these extensive requirements are labour-intensive and can cause significant soil disturbance in sensitive forest ecosystems. Using P. agathidicida as a model, this study provides a high-resolution quantitative assessment of how pathogen DNA is distributed vertically across different disease stages. We demonstrate that while absolute peak abundance can shift within the 0-15 cm range as infection progresses, the pathogen signal remains consistently detectable within the top 10 cm. This evidence-based approach suggests that targeted, shallow sampling enhances sensitivity by reducing signal dilution, offering a lower-impact path for monitoring soilborne oomycetes worldwide.

Microbial communities can shift under drought in ways that enhance plant performance during drought ("microbe-mediated acclimation"). However, it is also possible for microbial communities to shift in ways that worsen the effects of drought ("mal-acclimation"). It is unclear how and where microbe-mediated acclimation vs. mal-acclimation occurs, or if there are types of soils or microbial communities that are more likely to harbor microbes that enhance plant acclimation and limit mal-acclimation. We tested for microbe-mediated plant acclimation/mal-acclimation to drought in soils from 21 maize farms in the midwestern United States, spanning a range of climate, soil types, and management practices. We first conditioned soil microbial communities to drought vs. well-watered conditions in a greenhouse and then tested for microbe-mediated acclimation by growing maize in soils inoculated with the conditioned microbial communities under drought and well-watered conditions. Drought-conditioned soils did not enhance plant performance under drought. In fact, one third of the farms exhibited mal-acclimation, especially under well-watered conditions where wet-conditioned soils reduced plant performance in well-watered contemporary conditions. Farm management practices, climate, soil texture, and microbial diversity generally did not predict when this microbe-mediated mal-acclimation occurred. Overall, these results suggest that in agricultural soils, microbes may frequently impede-rather than facilitate-plant acclimation to soil moisture levels. Open research statementThe plant and soil data used in this study are available via the Environmental Data Initiative repository at https://doi.org/10.6073/pasta/f4a0db3a076cf6d8cef908947f82736e. The bacterial and fungal amplicon sequence data are available via the European Nucleotide Archive under accessions PRJEB110071 and PRJEB109827, respectively.

BackgroundVirtual colony count is a kinetic, 96-well turbidimetric assay that has been used since 2003 to determine the antimicrobial activity of antimicrobial peptides including the defensin HNP1. Virtual colony count results differed from traditional colony counting results in studies of the antimicrobial activity of the human cathelicidin LL-37 and related peptides. The difference could possibly have been caused by an inoculum effect. MethodsThe virtual colony count assay was conducted using inocula that varied from 1250 to 1x108 virtual colony forming units (CFUv) per milliliter. ResultsThe virtual colony count assay demonstrated a pronounced inoculum effect of HNP1 against Staphylococcus aureus ATCC 29213, accompanied by biofilm formation observed in the wells of the 96 well plates at all inocula. The S. aureus inoculum effect was not as drastic as previously reported for Escherichia coli. ConclusionsThe inoculum effect is further evidence that biofilm formation is a resistance mechanism used by a variety of bacteria against antimicrobial peptides such as HNP1.

Industrial waste containing hydrophobic pollutants, like oils and hydrocarbons, is toxic and difficult to degrade, posing both ecological and human health risks. Biosurfactants are eco-friendly surface-active compounds produced by microorganisms, known for their ability to lower surface and interfacial tension, enhancing the solubility and bioavailability of hydrophobic compounds, facilitating their breakdown. The current study focuses on isolating biosurfactant-producing bacteria from industrial waste sources near Dhaka, Bangladesh, and characterizing their properties, determining potential usage. Using diesel-enriched nutrient agar, bacterial strains were isolated and screened for biosurfactant production by oil displacement, emulsification index (E24%), and drop collapse assay. The most promising isolates were characterized according to their biochemical activities and 16S rRNA amplicon-based sequencing. Isolation and characterization of the surfactants have been carried out using chromatographic techniques. The identified bacteria passed the drop collapse and oil displacement tests. CTAB agar assay, indicates their anionic nature, showing an emulsification index ranging 10-41%. The potential biosurfactant producers belong to Bacillus, Pseudomonas, Acinetobacter, and Enterobacterium genera. The surfactants showed antibacterial, antifungal, and plant growth promotion activity and have been characterized in terms of pH stability, salinity, adhesion, and temperature tolerance. The study successfully identified and characterized potential biosurfactant-producing bacteria from industrial waste, highlighting their efficiency in breaking down hydrophobic pollutants and hydrocarbons. These microorganisms provide a green and economical substitute for synthetic surfactants due to their biodegradability and lower toxicity. Upon further research and scaling, these bacteria can be a good source of biosurfactants for potential applications in industrial, agricultural, and biomedical fields. IMPORTANCEThe study carries high significance as it creates multi-disciplinary scopes for utilizing these environmentally adapted biosurfactant-producing bacteria in industry, agriculture, and medicine. Since the bacterial isolates have hydrocarbon degradation ability, upon optimization for higher production, industrial usage in oil refinery and other industries can be adopted. Due to their biodegradable nature, usage in wound healing bandages and as antimicrobial agents in medicine will be noteworthy. The isolates have plant growth promotion ability and utilizing them as biofertilizer will reduce the dependency on chemical fertilizers. This is the first detailed report on biosurfactant-producing bacteria from this industrial waste-polluted Turag River of Dhaka City. Moreover, it compiles detailed screening protocols and methods for analyzing such environmentally friendly microbes. Such characterization also opens the scope for optimizing the production of the surfactant compounds on a large scale and utilizing them commercially.

BackgroundThe virulence-persistence trade-off is considered a fundamental organizing principle of Listeria monocytogenes population biology: hypervirulent clonal complexes dominate clinical cases but are rarely found in processing environments, while hypovirulent lineages dominate industrial niches but are underrepresented in severe disease. However, whether this dichotomy operates as an absolute paradigm has not been quantitatively evaluated at the population scale. Here we develop a multi-dimensional genomic scoring approach that simultaneously quantifies virulence potential (V), environmental persistence capacity (P), clonal epidemiological context (C), and antimicrobial resistance (R) across 903 genomes from four independent datasets spanning five countries, and apply it to test the universality of the trade-off and to characterize the ecological strategies of L. monocytogenes at the population level. MethodsThe scoring approach integrates four components into a composite 0-100 score through empirically calibrated weights (V: 30%, P: 40%, C: 20%, R: 10%). Validation employed 903 L. monocytogenes genomes from four public BioProjects: longitudinal industrial surveillance in Norway (Fagerlund et al. 2022, n = 513, PRJNA689484), retail environments in the United States (Stasiewicz et al. 2015, n = 191, PRJNA245909), clinical-environmental context in China (Wang et al. 2021, n = 151, PRJNA759341), and meat processing in Poland (Kurpas et al. 2020, n = 48, PRJNA629756). ResultsThe composite score achieved excellent discriminatory performance for identifying persistent clones (AUC = 0.933; 95% CI: 0.910-0.954) with perfect specificity (1.000; zero false positives). The inverse V-P correlation was statistically significant across all four datasets (Spearman {rho} from -0.144 to -0.713; p < 0.01), providing the first cross-dataset quantitative confirmation of the trade-off. However, simultaneous evaluation of V-P profiles at the population scale revealed that the species does not conform to a binary dichotomy but rather exhibits three quantitatively distinguishable ecological strategies, for which we propose a functional trophic taxonomy: nosotrophic lineages (22.7%; V > 65, P < 35), specialized in the pathogenic niche; saprotrophic lineages (5.8%; V < 30, P > 45), with irreversible virulence attenuation and industrial specialization; and, as the central finding, amphitrophic lineages (39.1%; V [&ge;] 35, P [&ge;] 40), which simultaneously retain functional inlA and stress tolerance determinants (SSI-1) without detectable genomic sacrifice. The three strategies differed significantly (Kruskal-Wallis H = 138.7; p = 7.6 x 10-3{superscript 1}). The correspondence between trophic strategy and CC was predominant but not absolute, demonstrating that this phenotypic classification captures intra-CC functional heterogeneity inaccessible through conventional typing. Furthermore, comparison between genome-based and surveillance-informed classifications revealed that 60 hypervirulent isolates (CC1/CC14), genetically classified as nosotrophic, persisted for up to 8 years in industrial facilities despite lacking any recognized persistence markers -- indicating that their prolonged survival reflects environmental opportunity rather than intrinsic genomic adaptation. ConclusionsMulti-dimensional genomic profiling reveals that the virulence-persistence trade-off, while statistically robust, does not operate as an absolute paradigm. The amphitrophic strategy -- documented here for the first time as a quantitatively distinguishable category encompassing 39.1% of the analyzed population -- challenges the prevailing dichotomous model and identifies a previously unrecognized combined ecological niche. The ability to discriminate between genome-encoded persistence capacity and environmentally facilitated persistence provides a biological framework for understanding the ecological determinants of L. monocytogenes population dynamics in anthropogenic environments.