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PubMed2026

The inoculum effect of methicillin-susceptible Staphylococcus aureus on cefazolin and other antimicrobial agents.

UNLABELLED: The inoculum effect (IE) refers to a reduced susceptibility of methicillin-susceptible Staphylococcus aureus (MSSA) to certain antibiotics under high bacterial inocula and may contribute to treatment failure. This exploratory study assessed IE prevalence among 234 nonduplicate MSSA isolates across 11 agents spanning major therapeutic classes, including cefazolin, and characterized IE-positive clones via whole-genome sequencing to inform clinical strategies. Minimum inhibitory concentrations (MICs) were determined by broth microdilution at standard and high inocula. Whole-genome sequencing was performed on IE-positive strains to identify β-lactamase types and conduct multilocus sequence typing. The highest prevalence of IE was observed for trimethoprim-sulfamethoxazole (9.4%), followed by erythromycin (8.8%), linezolid (6.8%), penicillin (6.1%), clindamycin (5.5%), vancomycin (3.8%), cefazolin (3.0%), levofloxacin (1.5%), tetracycline (0.5%), and oxacillin and gentamicin (0.0%). All cefazolin IE-positive strains carried blaZ type A, and ST25 was the most common sequence type (42.9%). For trimethoprim-sulfamethoxazole, erythromycin, and clindamycin IE, ST7 was the most common sequence type (22.7%, 26.7%, and 33.3%, respectively). ST1281 and ST188 were the predominant sequence types among strains exhibiting linezolid IE and vancomycin IE (25.0% and 33.3%, respectively). Among the 234 MSSA strains, 66.7% of ST59, 60.0% of ST25, 58.3% of ST5, and 54.2% of ST7 strains exhibited IE to at least one antimicrobial agent. Cefazolin IE was associated with blaZ type A, and ST5, ST7, ST59, and ST25 were the major sequence types associated with IE across the antimicrobial classes tested. IMPORTANCE: Methicillin-susceptible Staphylococcus aureus (MSSA) can show an inoculum effect on multiple antimicrobial agents, which may reduce antibiotic activity under high-burden conditions. In this study, MSSA isolates from Shanghai exhibited inoculum effects on several commonly used agents, although the overall detection rates were low. Cefazolin inoculum effect was specifically associated with blaZ type A, and several major sequence types were more likely to exhibit this phenotype. These findings improve our understanding of the epidemiology of the inoculum effect in MSSA and may help guide laboratory detection and antimicrobial treatment decisions.

Cefazolin↗

PubMed2026

Integration of domestic wastewater and native Tetradesmus obliquus for bioremediation and production of biomass rich in protein and polyunsaturated fatty acids.

The large-scale deployment of microalgae-based bioprocesses is often limited by high freshwater and nutrient demands. Domestic wastewater represents a sustainable alternative, enabling simultaneous pollutant removal and biomass production. In this study, a native strain of Tetradesmus obliquus, isolated in southern Brazil, was cultivated in raw domestic wastewater (RDW) and primary-treated domestic wastewater (TDW) at three initial inoculum densities (10%, 20%, and 30% v/v) for 14 days. Tetradesmus obliquus in TDW inoculated at 10% (v/v) removed 62.46% of ammonium and 98.56% of phosphate, simultaneously exhibiting the highest specific growth rate (0.16 d⁻1) and the highest biomass productivity (42.54 mg L⁻1 d⁻1). Iron and manganese concentrations decreased significantly with a native strain in TDW, indicating effective removal of them under the evaluated conditions. RDW was associated with higher carbohydrate accumulation (32.68%) and pigment production, whereas TDW was associated with higher protein content (45.83%) and a lipid fraction with a high relative proportion of polyunsaturated fatty acids (72.70-78.90%), primarily represented by α-linolenic and linoleic acids. The combined assessment of wastewater condition and initial inoculum density revealed distinct effects on the cultivation system. These aspects influence the biochemical composition of biomass, initial inoculum density, nutrient removal, specific growth rate, and biomass productivity. Thus, the present study supports the potential to integrate domestic wastewater treatment with the cultivation of a native Tetradesmus obliquus strain and indicates that, under the evaluated conditions, both the wastewater treatment conditions and the initial inoculum density influenced bioremediation performance and the biochemical composition of biomass.

Biochemical composition↗

PubMed2026

Feeding the disease: The impact of nutritional supplementation on Nosema (Vairimorpha) infection in honey bees (Apis mellifera).

Honey bees (Apis mellifera) experience variable colony losses across regions and years, with infectious diseases representing a key component of colony health challenges. Among the most prevalent pathogens are the microsporidian parasites Nosema apis and Nosema ceranae, whose impacts on host survival and transmission vary widely depending on context. While nutritional supplementation is commonly used to support honey bee health, its effects on Nosema infection outcomes remain unclear. Here, we experimentally tested whether dietary enrichment alters survival and infection intensity following exposure to a mixed Nosema inoculum. Newly emerged worker bees were challenged with Nosema spores and maintained on either a basic sucrose diet or the same diet supplemented with a commercial pollen substitute. Dietary enrichment significantly increased both mortality risk and infection intensity in Nosema-infected bees, while having no detectable effect on survival in uninfected controls. These results indicate that supplementation can, counter intuitively, exacerbate nosemosis by promoting parasite replication rather than enhancing host resistance. Our findings highlight the importance of distinguishing nutritional effects on host tolerance versus resistance, and caution that interventions intended to improve bee nutrition may inadvertently increase pathogen production and transmission potential under certain conditions.

Animals↗

PubMed2026

Plant genetic and root-associated microbial diversity modulate Lactuca sativa responsiveness to a soil inoculum under phosphate deficiency.

Microbial-based approaches offer a promising strategy to decrease the use of chemical fertilizers in agriculture. Among them, arbuscular mycorrhizal fungi (AMF), which extend root surface area and enhance phosphate uptake, and phosphate-solubilizing bacteria (PSB) are particularly relevant. However, their effectiveness depends strongly on plant genetic diversity. To identify genetic markers underlying plant responses to beneficial soil microbes, we studied a panel of 128 fully sequenced Lactuca sativa varieties under controlled phosphate-starvation conditions and treated with AMF and PSB. Lettuce genetic variation showed a strong effect on physiological and morphological responses to microbial inoculation. Genome-wide association studies identified specific genomic regions associated with changes in leaf phosphate content and shoot biomass following treatment. Beyond genetic factors, we observed shifts in fungal β-diversity and increased bacterial α-diversity associated with phenotypic variation. We also identified 44 amplicon sequence variants associated with agriculturally relevant traits. Among these, six bacterial strains were experimentally validated through in vitro and pot experiments for their effects on leaf phosphate concentration and shoot biomass. Overall, we highlighted key genetic, microbial, and physiological mechanisms that may enhance microbial treatments for improved plant phosphate management in lettuce.

16S and ITS metabarcoding↗

PubMed2026

Large-Scale Genomic Analysis of Stripe Rust Resistance in Chinese Wheat Germplasm Using Multi-Environment Trial Data.

Wheat stripe rust, caused by Puccinia striiformis f. sp. tritici (Pst), is a significant disease affecting global wheat crops and causing substantial economic losses. This study aimed to identify effective resistance genes by evaluating 120 common wheat accessions from diverse regions in China. These samples were tested with three Pst races at the seedling stage and with natural Pst inoculum at four field locations in three crop seasons. Genotypic data were collected through a Wheat55K iSelect single-nucleotide polymorphism array. The genome-wide association study identified 17 distinct loci linked to stripe rust response, accounting for 1.07 to 30.58% of the phenotypic variation across trials. These loci were distributed among three wheat genome groups: 2 in Group A, 10 in Group B, and 5 in Group D. Among these, eight loci overlapped with the reported stripe rust resistance genes or quantitative trait loci, while nine loci were novel and mainly distributed on chromosomes 2A, 6B, and 7D. This research enhances the understanding of genetic mechanisms underlying wheat stripe rust resistance and provides valuable germplasm resources for breeding new cultivars with enhanced disease resilience.

Puccinia striiformis f. sp. tritici↗

PubMed2026

Integrated GC-HRAM-MS and UHPLC-QTOF-MS metabolomics reveal mineral-induced metabolic adaptation of Lactiplantibacillus pentosus 9D3 during milk fermentation.

Milk fermentation by plant-associated probiotic strains is constrained by poor adaptation to dairy matrices. This study evaluated genome-guided micronutrient supplementation to improve the performance and metabolomic profile of Lactiplantibacillus pentosus 9D3 in milk. Individual supplementation with Mn2+ or Mg2+ significantly enhanced bacterial growth and acidification, whereas Fe2+, Zn2+, and B-group vitamins showed limited effects. Optimal supplementation with 50 mg/L Mn2+ and 100 mg/L Mg2+ increased viable counts from 7.54 to 8.89 log CFU/mL. A cell population increase of ∼1.9 log CFU/mL was achieved despite reducing the inoculum level from 10% to 6%. Integrated metabolomic profiling using GC-HRAM-MS and UHPLC-QTOF-MS identified 299 metabolites across supplemented fermented milk, non-supplemented fermented milk, and unfermented milk, with group separation. Pathway analysis revealed significant enrichment of seven metabolic pathways, including purine, pyrimidine, galactose, propanoate, butanoate, amino sugar and nucleotide sugar, and α-linolenic acid metabolism. These findings support cost-efficient precision fermentation of functional dairy products.

Dairy products↗

PubMed2026

Meta-analysis of growth and inactivation kinetics of Legionella.

Quantitative risk assessments intended to inform evidence-based water management plans and public health targets for Legionella in engineered water systems are constrained by fragmented and heterogeneous growth and inactivation kinetics. We conducted a meta-analysis of 25 growth and 39 thermal- and chemical-inactivation studies, fitting microbial persistence models to harmonize parameters. Nonlinear models outperformed first-order formulations, indicating that lag phases and resistant or protected subpopulations are central to Legionella persistence. Random forest analysis identified environmental and methodological drivers of variability based on 226 growth rates and reduction times for thermal (209) and chemical (135) inactivation. Growth was primarily governed by temperature, nutrient availability, and compatible Legionella-host pairings; thermal inactivation by quantification method, temperature, and turbidity; and chemical inactivation by inoculum size, disinfectant type, concentration, and host-associations. Accordingly, temperature-dependent growth parameters and exposure metrics for heat, free-chlorine, and monochloramine, expressed as TT (Temperature×time) and CT (Concentration×time), were derived as condition-specific inputs for predictive models. Growth optima around 37-40 °C, together with lag-time estimates, indicate that hot-water temperature setbacks and energy-saving practices may favor Legionella proliferation under repeated or prolonged lukewarm exposure. Culture- and viability-based TT differences highlight the need to consider viable‑but-non-culturable persistence in monitoring programs. CT comparisons suggest monochloramine may be advantageous because of its lower apparent sensitivity to host-associated protection. Although limited by restricted experimental conditions, the findings show that predictive models should account for microbial ecology, water matrix effects, and quantification endpoints. Future kinetic studies should prioritize realistic multi-host systems, strain pre-adaptation, complementary viability measurements, and standardized protocols and reporting to ensure reproducibility and enable robust system-level predictive modeling.

Legionella↗