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Environmental Microbiology Reports

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Online ISSN: 1758-2229

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62 reads in the past 30 days

Phylogenomic tree of Raphidiopsis, including the strain isolated from Lake Trasimeno and a selection of genomes from the Genome Taxonomy Database (GTDB) and NCBI GenBank. Species names and strain identifiers in the tree tips are from the NCBI taxonomy; the last three letters in the taxa names indicate the geographic origin of the genomes (Table S1). The main clades in the tree are indicated with R1A‐B and R2A‐B. The GTDB taxonomy classification is given in the GTDB‐ Taxonomy colour code column. The colour code columns CYN and STX indicate the presence in the genomes of biosynthetic gene clusters (BGCs) encoding cylindrospermopsins and saxitoxins, respectively; colour gradients refer to the similarity of the identified BGCs to known clusters of genes encoding the two toxins estimated by antismash. The column N‐fix reports the presence of N‐fixing genes identified with the KEGG module analysis. The tree was rooted with Sphaerospermopsis kisseleviana CS‐549 as outgroup. S–H, Shimodaira–Hasegawa test computed by FastTree; high SH‐like local support values (e.g., ≥ 0.8) indicate strong statistical support for the branch. The scale bar indicates the number of substitutions per site.
The pangenome of Raphidiopsis. Each one of the 6066 gene clusters is represented by a radius that contains one or more amino acid sequences that originate from one or more genomes, which are represented by the 37 circles. Gene clusters are organised according to their distribution across the genomes, so that gene clusters that occur together in the same group of genomes are closer together. Genomes are ordered consistently with the phylogenomic tree on the top right side of the figure, based on the single copy core genes (SCGs), as well as the symmetrical matrix reporting the ANIb values computed between all 37 genomes. The outer circle highlights the two regions of the pangenome including the 1526 SCGs and the 1500 singletons. On the right‐hand side of the figure, Clades and Geography show the four main clades identified in the phylogenomic tree (Figure 1) and the indication of the geographical distribution of the genomes (as reported in detail by the last three code letters in the names of the taxa) respectively.
Heatmap showing the most abundant COG20 categories in the main pangenome groups, namely Core_Soft‐Core (grouping the Core and Soft‐Core), Shell and Cloud genomes. Less represented categories in genomes (< 6) were grouped under ‘Other COG20 categories’. GFPO, General Function Prediction Only. Before plotting, the data were transformed by log10(x + 1). Unclassified gene families were grouped under ‘NA’.
Phylogenomic and Pangenomic Assessment of a Mediterranean Strain of Raphidiopsis raciborskii Extends Knowledge of the Global Distribution and Characteristics of a Potentially Toxigenic Cyanobacterium

May 2025

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62 Reads

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Margherita Di Brizio

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[...]

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Adriano Boscaini
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48 reads in the past 30 days

Bioavailable Dissolved Organic Carbon Serves as a Key Regulator of Phosphorus Dynamics in Stream Biofilms

June 2025

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48 Reads

Aims and scope


Environmental Microbiology Reports is a fully open access journal dedicated to the presentation of high-quality research that advances our knowledge on microorganisms, their function and their interactions with the environment. As opposed to making subjective evaluations of potential impact, the journal's publication criteria are based on high ethical standards and the rigor of the methodology and conclusions reported.

Recent articles


A pictorial representation of different microoxic niches in terrestrial and aquatic ecosystems.
The Study of Microbial Physiology Under Microoxic Conditions Is Critical but Neglected
  • Article
  • Full-text available

June 2025

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2 Reads

Om Prakash

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Ashvini Chauhan

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Stefan J. Green

During the early evolution of life on Earth, the environment was largely free of molecular oxygen, and only anaerobic life existed. With the subsequent oxidation of oceans and the atmosphere, a wide range of environmental niches, ranging from anoxic to microoxic/hypoxic and oxic, developed. Despite this broad range of natural environments, microbiology as a field has focused on the physiology, metabolism, and genetics of aerobic microorganisms, with less attention paid to anaerobes and much less attention paid to microaerophiles. The disparity in studies between aerobic and anaerobic conditions is rampant in host‐associated systems, particularly in human health, and studies of microorganisms in intermediate oxygen conditions between fully aerobic and fully anoxic conditions are exceedingly rare. Studies on the physiological behaviour, metabolism, growth response, and drug susceptibility patterns of commensal and pathogenic organisms are almost totally neglected in microoxic conditions. Furthermore, microorganisms from microaerobic and microoxic ecosystems have been less robustly explored in terms of physiology, growth, and metabolism. In this work, we highlight the importance of understanding the physiological and metabolic behaviours of microorganisms under hypoxic or microoxic conditions.


Comparative Genome Analysis of Three Halobacillus Strains Isolated From Saline Environments Reveal Potential Salt Tolerance and Algicidal Mechanisms

Saru Gurung

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Chang‐Muk Lee

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Hang‐Yeon Weon

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[...]

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Tae‐Jin Oh

Harmful algal blooms (HABs) pose a significant global threat to water ecosystems, prompting extensive research into their inhibition and control strategies. This study presents genomic and bioinformatic analyses to investigate the algicidal potential and elucidate the survival mechanisms in harsh conditions of newly identified Halobacillus species three strains (SSTM10‐2T, SSBR10‐3T, and SSHM10‐5T) isolated from saline environments. Moreover, genomic and bioinformatic analyses were conducted to elucidate their survival mechanisms in harsh conditions. Moreover, comparative genomic analysis revealed a diverse set of orthologous genes, with a core genome primarily associated with metabolism and information processing. Pangenome analysis highlighted accessory and unique genes potentially involved in environmental adaptation and stress response. Functional annotation using KEGG pathways identified genes linked to xenobiotic compound degradation, stress tolerance, and salt adaptation. Additionally, the study elucidated potential mechanisms underlying algicidal activity, implicating Carbohydrate‐Active enZYmes (CAZymes), cytochrome P450 oxidases (CYP), and quorum sensing (QS) systems. Finally, analysis of KEGG pathways related to microcystin degradation suggested the strains' capacity to mitigate HABs. Thus, this research enhances understanding of the genomic diversity, phylogeny, and functional characteristics of Halobacillus species, offering insights into their ecological roles and potential applications in biotechnology and environmental management.


Growth of the P. thermoglucosidasius wild‐type strain under CO and electron acceptors. The wild‐type strain was cultivated under 25% CO and 75% N2 atmosphere in a basal medium supplemented with 0.01% yeast extract. Either 10 mM KCl (a), KNO3 (b), or KNO2 (c) was added to the medium. The figures show the total amounts of CO (red), CO2 (yellow), H2 (blue), NO3⁻ (green), and NO2⁻ (light green with green lines) and the OD600 values (black lines). The experiment was performed in triplicate. The error bars represent the standard error of the mean.
Growth of P. thermoglucosidasius wild‐type strain with and without addition of nitrate. The wild‐type strain was cultivated under 25% CO and 75% N2 atmosphere in a basal medium supplemented with 0.01% yeast extract. At 25.5 h post‐cultivation, 50 mM KNO3 (diamond, dotted line) or KCl (round, solid line) was added to the cultures, as indicated by the black vertical dotted lines. The total amounts of CO (red), CO2 (yellow) (a), H2 (blue), and NO2⁻ (light green with green lines) (b) are shown in the figure. Growth was monitored by measuring OD600 values (black lines) (c). The experiment was performed in triplicate. The error bars represent the standard error of the mean. Statistical analysis was performed using unpaired Welch's t test, and multiplicity was adjusted using Holm–Bonferroni method (*p < 0.05; **p < 0.01).
Growth of P. thermoglucosidasius wild‐type and codh–ech‐deleted strains during nitrate respiration. Growth using nitrate respiration in the four strains was observed in the basal medium containing 50 mM sodium pyruvate and 20 mM KNO3 under an N2 atmosphere. The experiment was performed in triplicate. The error bars represent the standard error of the mean.
CO oxidation and H2 production in the whole‐cell lysates. CO‐oxidising and H2‐producing activities were measured using whole‐cell lysates of the wild‐type (WT), Δcodh, Δech, and Δcodh–ech strains. CO oxidation was measured using CO as an electron donor and MVox as an electron acceptor in the four strains (a), and in the presence of 10 μM KNO3 or KCl (control) (b). H2‐producing activity was measured using MVred as an electron donor and proton as an electron acceptor in the four strains (c), and in the presence of 10 μM KNO3 or KCl (d). All assays were performed in triplicate. The black bars represent the mean. The statistical analysis was performed using the Tukey test for multiple comparison (a, c), and the unpaired Welch's t test (b, d) (*p < 0.05; **p < 0.01).
Effects of Nitrate on Hydrogenogenic Carbon Monoxide Oxidation in Parageobacillus thermoglucosidasius

June 2025

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16 Reads

Parageobacillus thermoglucosidasius is a thermophilic facultative anaerobe capable of hydrogenogenic carbon monoxide (CO) oxidation utilising nickel‐containing CO dehydrogenase (Ni‐CODH) and energy‐converting hydrogenase (ECH). Nitrates have been reported to exert promoting or inhibitory effects on the growth of CO oxidizers and acetogens, and these contradictory outcomes obscure the relationship between nitrate and CO oxidation. In this study, we analysed the effects of nitrate on hydrogenogenic CO oxidation and growth in P. thermoglucosidasius NBRC 107763T using wild‐type and codh‐ and/or ech‐disrupted strains. The results demonstrated that the addition of 50 mM nitrate suppressed hydrogenogenic CO oxidation while promoting hydrogen‐oxidising nitrate reduction and rapid cell growth, resulting in a 2.3‐fold higher OD600 than the control. Assays using cell lysates showed that 10 μM nitrate suppressed CO oxidation below the detection limit without affecting hydrogen production, indicating that nitrate affects the CO‐oxidising function. These findings imply that CO oxidation in P. thermoglucosidasius is primarily coupled to proton reduction, and deactivated during nitrate respiration. Therefore, hydrogenogenic CO oxidation serves as an auxiliary energy‐obtaining mechanism, functioning in the absence of alternative electron acceptors such as nitrate. This study enhances our understanding of CO‐dependent energy generation and highlights the supplemental use of CO in P. thermoglucosidasius.


Enzymatic activity of T. koningiopsis LBM116 under different culture conditions. (A) Chitinase, (B) β‐1,3‐glucanase, and (C) Protease activities were measured in culture supernatants obtained after 8 days of growth. Carbon sources: QC: colloidal chitin; Gel: gelatin; Fit I: cell walls of Fusarium sp. treated; Fit II: cell walls of Fusarium sp. untreated. Nitrogen sources: Ex: yeast extract; Ma: mandels; SA: ammonium sulfate; Ur: urea. Bars represent mean values of three replicates ± standard error (SE).
Effect of different concentrations of the carbon source Fit I combined with two nitrogen sources on enzyme secretion by Trichoderma koningiopsis LBM116 after 10 days of incubation. (A) Chitinase activity. (B) β‐1,3‐glucanase activity. (C) Protease activity. Bars represent mean values of three replicates ± standard error (SE). The different letters in the columns represent significant differences (p < 0.05).
Effect of different concentrations of the carbon source Fit I on the secretion of enzymes by T. koningiopsis LBM116. (A) Chitinase activity, (B) β‐1,3‐glucanase activity, and (C) Protease activity. Bars represent mean values of three replicates ± standard error (SE). Different lowercase letters above the bars indicate statistically significant differences among treatments according to Tukey's test (p < 0.05).
Three‐dimensional response surface plots for enzymatic secretion by T. koningiopsis LBM116. The plots show the interactive effects of Ex concentration, initial inoculum, and pH culture medium. (A) Chitinase activity I: Ex and pH when inoculum is fixed at its middle level; II: Ex and inoculum when pH is fixed at its middle level. (B) β‐1,3‐glucanase activity I: Ex and pH when inoculum is fixed at its middle level; II: Ex and inoculum when pH is fixed at its middle level. (C) Protease activity I: Ex and pH when inoculum is fixed at its middle level; II: Ex and inoculum when pH is fixed at its middle level.
Lettuce seedlings after 30 days under different treatments. From left to right: (T1) Enzymatic formulation, (T2) Conidial suspension, (T3) Absolute control, (T4) Diseased control.
Enzymatic Strategies for Biocontrolling Phytopathogenic Fungi Using Trichoderma Koningiopsis LBM116

June 2025

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6 Reads

The growing demand for sustainable alternatives to chemical fungicides has driven the development of microbial‐based biocontrol strategies. In this study, the native strain Trichoderma koningiopsis LBM116 (Misiones, Argentina) was optimised for the production of mycolytic enzymes (chitinases, β‐1,3‐glucanases, and proteases) using factorial and response surface experimental designs. Enzyme secretion was increased by more than 250% compared to initial conditions by selecting specific carbon and nitrogen sources and adjusting inoculum and pH parameters. The optimised enzyme formulation improved lettuce seed germination to 86.66% in the presence of the phytopathogen Fusarium sp., under controlled conditions. In seedling trials, it also reduced disease severity and improved growth parameters. These results confirm the dual effect of the enzyme formulation, acting as a biocontrol agent and plant growth promoter. This work highlights the potential of enzyme formulations derived from T. koningiopsis LBM116 as an effective, low‐cost, and sustainable alternative for managing phytopathogens in agriculture.


Boxplot of CLE and FLE densities according to tick species, sex, and organ. Symbiont densities (log10 scale) were quantified by calculating the ratio of CLE or FLE rpoB gene copies per tick Act2 gene copy.
Confocal imaging of CLE and FLE in the ovaries of ticks using FISH. DNA was directly stained using DAPI (blue), and symbionts with specific probes (magenta). (A, B) O. maritimus and CLE; (C, D) D. marginatus and CLE; (E, F) O. moubata and FLE; (G, H) D. reticulatus and FLE.
TEM micrographs of CLE and FLE in the ovaries of ticks. Transverse sections reveal double membraned vacuoles (white arrows) highly populated by symbionts (yellow arrows). (A, B) Stage III oocyte of O. maritimus and CLE; (C, D) Stage I oocyte of D. marginatus and CLE; (E, F) Stage III oocyte of O. moubata and FLE.
Conservation level of biosynthetic pathways in CLE and FLE genomes. (A) Pathogenic features of Coxiella genomes showing the conservation level of the Dot/Icm secretion system genes. (B) Pathogenic features of Francisella genomes showing the conservation level of the Francisella Pathogenicity Island (FPI) genes. (C) Biosynthetic pathways of CLE and FLE for the three key B vitamins involved in nutritional symbiosis with ticks. (D) Biosynthetic pathways potentially involved in symbiotic interactions with ticks. Black squares, functional genes; grey squares, pseudogenes; white squares, missing genes.
Evolutionary Convergence of Nutritional Symbionts in Ticks

June 2025

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39 Reads

Symbiosis with bacteria is essential for the survival of animals with an obligate blood‐feeding lifestyle. In ticks, two distinct bacterial lineages, Coxiella‐like and Francisella‐like endosymbionts, have independently evolved into nutritional symbionts, converging on a key biochemical function for the tick's survival and growth: the production of three B vitamins. In this study, we carried out comparative analyses across multiple tick species and characterised remarkable similarities in their tissue localisation, particularly in organs important for nutrient metabolism and maternal transmission to progeny. In these organs, both symbionts colonise similar intracellular niches, residing within membrane‐bound, replicative vacuoles that occupy a substantial part of the cytoplasm of tick cells. Despite extensive genomic reduction, both symbionts have retained pathways for the biosynthesis of B vitamins and, in some cases, chorismate, a precursor used for the production of serotonin by ticks. However, differences exist: while Coxiella‐like endosymbionts lack the ability to synthesise heme, Francisella‐like endosymbionts possess a complete heme biosynthesis pathway and may potentially provide ticks with this essential cofactor. Overall, these phenotypic and genomic characteristics reveal a broad convergence among symbiotic interactions across major tick families, highlighting the essential role of symbiosis in tick nutrition, feeding behaviour, blood intake and subsequently in pathogen transmission.


Bacterial Diversity and Succession in the Presence of Steel and Effects on Corrosion

June 2025

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6 Reads

Steel corrosion is an extensive problem worldwide, substantially impacting marine infrastructures. In this study, the influence of steel on bacterial succession and corrosion was investigated by culturing marine water samples with and without steel coupons for 14 days. Compared to abiotic controls, oxygen levels were rapidly depleted in biotic cultures. Fe levels increased in controls compared to biotic cultures, potentially due to anoxic conditions and the incorporation of Fe in the biofilm. Proteobacteria dominated the initial cultures, but over 14 days the number of phylogenetic groups decreased overall in abundance. Taxons that increased in abundance included Clostridiaceae, Fusobacteriaceae, Flavobacteriaceae and Prolixibacteraceae, some members of which can utilise Fe. While initially in low abundance, Arcobacteraceae, Pseudoalteromonadaceae, Rhodobacteraceae and Rhizobiaceae numbers increased over time. Sites 1 and 2 cultures displayed localised deep pitting corrosion on coupon surfaces, consistent with microbial action, with an increase in Bacteroidetes, suggesting this phylum facilitates corrosion. In contrast, Site 3 cultures displayed uniform, superficial corrosion, with Clostridiaceae being the dominating family by Day 14, suggesting corrosion inhibition through biofilm formation. By identifying bacteria associated with corrosion, targeted approaches to corrosion reduction may be developed through identifying significant metabolic pathways by transcriptomics and the application of metabolic inhibitors.


Map showing the four sampling locations for Halyomorpha halys in Italy (a) and the Province of Trento (b). Maps were generated using giscoR (Hernangómez 2023) to retrieve geographic boundary data directly from GISCO (Eurostat's geographic information system), ggplot2 (Wickham 2011; Wickham et al. 2016) as the foundational visualisation framework, ggspatial (Dunnington and Thorne 2020) to enhance spatial mapping capabilities (e.g., scale bars), and units (Pebesma et al. 2016) to manage unit conversions and scaling in geographic projections.
Abundance plots computed considering bacterial genera in all H. halys microbiota samples. Relative abundance of the three most abundant genera across all individuals. Each bar represents one H. halys individual.
Upset plots depicting relative frequencies (as percentage) of shared genera across the four populations (a, BS; b, TN; c, SM; d, DN) in relation to overwintering. Numbers on top of bars represent the percentage of shared genera with a relative abundance of at least 0.3%. The x‐axis represents the populations, while the y‐axis represents the number of shared genera. ‘No’ for nonoverwintered bugs, ‘Yes’ for overwintered bugs.
Comparison of alpha diversities of bacterial microbiota in each of four sampled H. halys populations at the genus level. (a, b, c) Shannon (a) and Chao1 (b) indices and differentially present ASVs (c) computed for the Besenello (BS) population. (d, e, f) Shannon (d) and Chao1 (e) and differentially present ASVs (f) indices computed for the Trento (TN) population. (g, h, i) Shannon (g) and Chao1 (h) and differentially present ASVs (i) indices computed on the San Michele all'Adige (SM) population. (j, k, l) Shannon (j) and Chao1 (k) indices and differentially present ASVs (l) computed on the Denno (DN) population. In heatmaps (c, f, i, l), the cell coloration varies depending on the z‐score value. Blue indicates the absence of the ASV in the sample, red indicates the highest presence in that sample. *p < 0.05. ‘No’ for nonoverwintered bugs, ‘Yes’ for overwintered bugs.
Nonmetric multidimensional scaling (NMDS) plot of sampled H. halys microbiota based on Bray–Curtis estimates (a) and Jaccard distance (b).
Overwintering Does Not Affect Microbiota Diversity in Halyomorpha halys: Implications for Its Ecology and Management

June 2025

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37 Reads

Host‐associated microbial communities play an important role in regulating many aspects of insect biology, but changes in this microbiota during diapause and overwintering are still largely unknown. Halyomorpha halys is an invasive agricultural pest characterised by a unique overwintering strategy where individuals aggregate and enter a state of dormancy, making it an excellent model to study the relationship between microbiota and diapause. We investigated the bacterial diversity of wild H. halys specimens before and after dormancy using 16S rRNA gene amplicon‐sequencing. We found that microbiota varies between geographically neighbouring sampling locations, but there were no significant differences in microbial diversity or composition between populations sampled before and after diapause, despite stressful overwintering conditions. Such stability may relate to the highly specific taxa that dominate the stinkbug‐associated microbial community. In addition, we did not detect any strong association of stink bugs with phytopathogens, but we found that two populations harboured Nosema maddoxi, a microsporidian pathogen of stink bugs. Our results are relevant to the assessment of accidental spillovers of microorganisms in newly invaded areas and to the implementation of the sterile insect technique based on mass trapping, irradiation, shipping and release after diapause of wild individuals.


A Novel Pathosystem With the Model Plant Arabidopsis thaliana for Defining the Molecular Basis of Taphrina Infections

June 2025

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35 Reads

Plant‐associated yeasts modulate host immunity to promote or prevent disease. Mechanisms of yeast perception by the plant innate immune system remain unknown, with progress hindered by lack of a model system with the model plant Arabidopsis thaliana (Arabidopsis). A yeast strain of Taphrina tormentillae, named M11, was previously isolated from wild Arabidopsis. Taphrina have been found on many non‐host plants, and their complex ecology remains understudied. Here, the interaction of M11 with Arabidopsis was characterised. Infection of Arabidopsis with the birch pathogen T. betulina, used as a non‐host control, triggered typical defence activation features but did not multiply, demonstrating Arabidopsis had immunity against a non‐adapted yeast. M11 triggered attenuated defence activation features, grew in planta, and caused subtle but clear leaf deformation symptoms, demonstrating it is pathogenic. M11 was widely distributed in environmental sequencing data and found on multiple non‐host plants, suggesting Taphrina play previously unrecognised ecological roles on multiple plant species. M11 genome features involved in host interaction were analysed, and potential immune stimulatory molecules in chitin‐free cell walls were identified. A pilot screen demonstrated the utility of reverse genetics with Arabidopsis and identified that the BAK1 co‐receptor is involved in the perception of M11 Taphrina cell walls.


Growth pattern of P. infestans on agar plates that contained 1% pectin, xylan, cellulose, starch, lignin, or malt extract. The growth shown is the area of mycelial growth recorded on day 12 of cultivation.
Relative abundances of coumaric acid (p = 0.009), vanillic acid (p = 0.006), quinic acid (p = 0.14), shikimic acid (p = 0.22), sinapaldehyde (p = 0.01), and dihydrosinapyl alcohol (p < 0.001) in the needle samples generated by DI(FIA)‐ESI‐HRMS. Green is the medium control (water and needles), blue indicates the samples after P. infestans growth, and red is the solvent control (methanol). The p values for each compound represent the significance of the difference between the means of the sample (with P. infestans) and the control (containing only needles), as determined by a two‐sample t‐test.
Relative abundances of galactosyl pinitol (p = 0.02), glactosylglycerol (p = 0.04), and glucuronic acid (p = 0.04) content of the needle samples generated by DI(FIA)‐ESI‐HRMS analysis. Green is the medium control, blue indicates the samples with P. infestans, and red is the solvent control (methanol). The p values for each compound represent the significance of the difference between the means of the sample (with P. infestans) and the control (containing only needles), as determined by a two‐sample t‐test.
Relative abundances of some resin acid compounds identified in the needle samples: Pinifolic acid (p = 0.01), pinusolidic acid (p < 0.001), and isocupressic acid (p = 0.01). Green indicates the medium control, blue indicates the sample extracts from P. infestans cultivations, and red indicates the solvent‐control (methanol). The p values for each compound represent the significance of the difference between the means of the sample (with P. infestans) and the control (containing only needles), as determined by a two‐sample t‐test.
Metabolomic and Genomic Analysis of Bioactive Compounds of Phacidium infestans Karsten DSM 5139 Cultivated on Pinus sylvestris Needles

June 2025

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35 Reads

This study investigates how Phacidium infestans acquires nutrients on Pinus sylvestris needles, which possess antimicrobial properties. P. infestans was evaluated for its growth and enzyme production on various substrates, alongside genomic and metabolomic analysis. Direct‐infusion high‐resolution mass spectrometry (DI‐HRMS) was performed on methanol extracts obtained from P. infestans cultivated on needles and malt extract media. DI‐HRMS analysis identified 21 compounds from the malt extract and 112 from the needle samples. The resin components increased in the needle samples post‐cultivation, suggesting terpenoid release from resin ducts due to fungal degradation of plant cell walls. P. infestans fully consumed sugars and antifungal compounds, including taxiresinol and salicylic acid, with control‐to‐sample ratios (CTR/SA) of 289.76 and 47.24, respectively. Moreover, lariciresinol and pinoresinol were reduced to undetectable levels. The genomic analysis identified 421 secreted proteins, including 128 carbohydrate‐active enzymes, 3 cutinases, and 49 lipases that aid host penetration and wax degradation. Several multi‐drug efflux pumps and two acyclic terpene utilisation proteins were identified as well. These proteins support the cellular integrity of P. infestans by expelling toxic compounds. Our findings provide valuable insights into the metabolic strategies of P. infestans for nutrient assimilation on pine needles.


Genetic Characterisation of the Bacterial Microbiota Associating With a Strain of Epichloë Fungal Endophyte of Perennial Ryegrass and the Interaction With Its Paenibacillus Members

June 2025

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15 Reads

Plant‐associated fungi can host unique bacterial microbiota to provide multiple benefits to their fungal hosts. Here it was characterised the bacterial microbiota associated with an Epichloë fungal endophyte (strain AR135) isolated from perennial ryegrass (Lolium perenne) via both 16S rRNA gene sequencing and direct microbial isolation and investigated the microbe‐microbe interactions between these bacteria and the fungus. The bacterial microbiota of AR135 was dominated by members within the genus Paenibacillus, with 99% of abundance (on average); although bacteria within genera Delftia and Bradyrhizobium were also present. Paenibacillus cells were located on the surface of hyphae of AR135 fungus in vitro on synthetic media and in planta within perennial ryegrass leaves. Two bacterial strains, E100 and E300, identified as Paenibacillus, were isolated from the AR135 mycelium. E300 drastically altered the abundance of both the whole bacterial microbiota (increased by 63%) and E100 (reduced to 0%). None of the variations observed in the abundance of total bacterial microbiota and E100 and E300 were associated with changes in the fungal biomass of Epichloë. The findings show that Epichloë fungal endophytes can host bacterial communities, the structure of which was regulated by key members of the bacterial community.


(A) World map showing the two sampling sites, crystal geyser (CG, aquamarine) and muehlbacher sulfidic spring (MSI, magenta). (C) Differences in the chemical composition of MSI (n = 1) (Rudolph et al. 2004), and CG (n = 3) (Probst et al. 2018) are shown for nutrients and ions measured in both ecosystems. The bars for CG show the average ppm/ppb of three samples (CG05; CG08; CG16) (Probst et al. 2018). (B and D) Fluorescence in situ hybridization (FISH) images show the host Ca. Altiarchaeum (SMARCH714 labelled with Atto448 (Rudolph et al. 2004)) in green (H) and the symbiont Ca. Huberiarchaeum (HUB1206 with Cy3 (Schwank et al. 2019)) in orange (S). Shown chemical compositions from CG were sampled in the minor eruption phase of the eruption cycle, where Ca. Altiarchaea is the dominant organism. Please note that the symbiont was not detected in MSI. Scale bar 10 μm.
Gene clusters, differential gene expression and differences in gene expression profile of two Ca. Altiarchaea populations. (A) Gene clusters (80% AA similarity) of CG (n = 1447) and MSI (n = 824), as well as shared protein clusters (n = 537). (B) Differential gene expression of MSI compared to CG. The count data was normalised based on the coverage of 10 ribosomal proteins (see methods) and then evaluated with DESeq2 (Love et al. 2014; Liu et al. 2021) in R studio (Core Team 2013). (C) Difference graph of the expression profile for 19 shared gene clusters selected based on annotation, difference, and relationship to physiology/ecology (the values represent the difference in the expression of the gene clusters). All values, including mean expression rate and standard deviations, are listed in Table S3.
Differential Expression of Core Metabolic Functions in Candidatus Altiarchaeum Inhabiting Distinct Subsurface Ecosystems

June 2025

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18 Reads

Candidatus Altiarchaea are widespread across aquatic subsurface ecosystems and possess a highly conserved core genome, yet adaptations of this core genome to different biotic and abiotic factors based on gene expression remain unknown. Here, we investigated the metatranscriptome of two Ca. Altiarchaeum populations that thrive in two substantially different subsurface ecosystems. In Crystal Geyser, a high‐CO2 groundwater system in the USA, Ca. Altiarchaeum crystalense co‐occurs with the symbiont Ca. Huberiarchaeum crystalense, while in the Muehlbacher sulfidic spring in Germany, an artesian spring high in sulfide concentration, Ca. A. hamiconexum is heavily infected with viruses. We here mapped metatranscriptome reads against their genomes to analyse the in situ expression profile of their core genomes. Out of 537 shared gene clusters, 331 were functionally annotated and 130 differed significantly in expression between the two sites. Main differences were related to genes involved in cell defence like CRISPR‐Cas, virus defence, replication, transcription and energy and carbon metabolism. Our results demonstrate that altiarchaeal populations in the subsurface are likely adapted to their environment while influenced by other biological entities that tamper with their core metabolism. We consequently posit that viruses and symbiotic interactions can be major energy sinks for organisms in the deep biosphere.


Integrated Analysis of Gene Expression, Protein Synthesis, and Epigenetic Modifications in Alcanivorax borkumensis SK2 Under Iron Limitation

June 2025

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20 Reads

This study aimed to understand the genetic and molecular mechanisms enabling Alcanivorax borkumensis SK2, a hydrocarbonoclastic marine bacterium, to thrive under iron‐limited conditions. Using SMRT PacBio whole‐genome sequencing, Illumina total RNA sequencing, and proteomics analysis, we examined the strain's response to iron‐rich and iron‐depleted media. Despite minimal impact on growth, significant changes in gene expression were observed when using n‐tetradecane or acetate under iron limitation. Iron scarcity, depending on the carbon source, affects energy metabolism, membrane transport, lipid metabolism, stress‐adaptive responses, and siderophore synthesis. We identified several methyltransferases (MTases) in the studied genome, including RS14230, which is a part of a fully functional restriction‐modification (RM) system causing bipartite cytosine methylation and DNA cleavage at AgGCcT sites. Another MTase, RS09425, controls bipartite adenine methylation at GaTNNNNNGtGG motifs; however, no restriction activity at these motifs has been detected. Many epigenetically modified nucleotides lacked canonical motifs, possibly due to MTase byproducts. Notably, non‐canonical modifications were statistically associated with transcriptional start sites and gene regulation, suggesting an indirect role in transcription via DNA conformation changes and its accessibility to MTases near actively transcribed genes.


Bioavailable Dissolved Organic Carbon Serves as a Key Regulator of Phosphorus Dynamics in Stream Biofilms

June 2025

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48 Reads

Phosphorus (P) dynamics at the sediment–water interface of aquatic ecosystems are receiving increasing attention due to their implications for water quality. P uptake by microbial biofilms can serve as a mechanism to control and mitigate the risk of eutrophication. Microbial biofilms capture P both intracellularly and extracellularly. While the significance of extracellular P entrapment in biofilms in engineered systems has recently been established, little is known about its dynamics in aquatic ecosystems. Current research on eutrophication control predominantly emphasises nitrogen, phosphorus or nitrogen‐phosphorus ratio‐based approaches, often overlooking the potential indirect influence of bioavailable dissolved organic carbon (DOC) on P uptake by heterotrophic microorganisms. In this study, we tested the effect of bioavailable DOC on P entrapment patterns in biofilms and in biofilm P‐regulation mechanisms such as polyphosphate accumulation and alkaline phosphatase activity in semi‐natural flow‐through experimental flumes. Our results show that intracellular P entrapment is limited by bioavailable DOC, while extracellular P entrapment is independent of bioavailable DOC and has the potential to offset intracellular P saturation. We further demonstrate that DOC bioavailability influences benthic P cycling and that its implications extend into critical areas of ecosystem functioning such as river self‐purification, competitive resource utilisation and organic P cycling.


PRISMA flowchart illustrating the screening process.
Prevalence of Vibrio cholerae in water environments.
Prevalence of Vibrio cholerae serogroups in water environments.
Global repartition of Vibrio cholerae prevalence in various water environments.
Vibrio cholerae in Water Environments: A Systematic Review and Meta‐Analysis

Vibrio cholerae is a water‐borne pathogen transmitted via the faecal‐oral route, with water being a major vehicle for infection. The pathogen has caused seven pandemics in history, with contaminated water identified as the infection source. Seasonal outbreaks, claiming approximately 21,000–143,000 lives yearly, are facilitated by contaminated water environments. This systematic review, therefore, determined the prevalence of V. cholerae in water environments. A comprehensive literature search was conducted in PubMed, Web of Science, and SCOPUS. After the screening process, 87 articles were included in our study. RStudio version 4.3.3 was used in conducting our meta‐analysis with the data subjected to the random‐effects model. The included articles were from 38 countries, which spanned 6 continents. The prevalences of V. cholerae in water environments were as follows: drinking water (15.69%), untreated sewage (57.26%), treated sewage (95.18%), surface water (41.95%), groundwater (26.23%), and others (20.81%). Continental prevalence revealed the following: Australia (85.00%), North America (66.60%), Africa (42.07), South America (39.32%), Asia (29.28%), and Europe (24.48%). There is a high prevalence of V. cholerae in water environments. More effective water treatment methods are needed to drastically reduce its prevalence to insignificant levels, especially in treated drinking water.


Pectobacterium versatile β‐Lactamase Contributes to Soft Rot Pectobacteriaceae (SRP) Community Diversity During Potato Infection

Little is known about the role of antibiotics in microbial ecosystems in the absence of clinical antibiotic pressure. The soft rot Pectobacteriaceae (SRP) species complex comprises 37 bacterial species that are collectively responsible for severe plant decay in many crops. Within this complex, Pectobacterium versatile strains harbour the BlaPEC‐1 β‐lactamase. The aim of our work was to analyse the role of BlaPEC‐1 during plant infection. To this end, two blaPEC‐1‐deleted strains were compared with their wild‐type counterparts in vitro and in mono‐ or mixed infections of potato tubers with different SRP strains. In vitro, BlaPEC‐1 enables P. versatile to resist ampicillin or the carbapenem produced by Pectobacterium brasiliense. In mono‐infections of potato tubers, blaPEC‐1‐deleted strains were not affected in virulence, fitness, or association with bacterial commensals. In mixed infections, BlaPEC‐1 was required for the coexistence of P. versatile with the carbapenem‐producing strain and was necessary to rescue carbapenem‐sensitive strains both in vitro and in planta. Protection was observed even if both the blaPEC‐1 gene was repressed and the BlaPEC1‐expressing bacteria were a minority in the symptoms. These results indicate that BlaPEC‐1 exerts a true β‐lactamase function during the infection process and acts as a public good of the SRP species complex to maintain SRP strain diversity.


Tebuthiuron degradation by indigenous soil microbiota consortium isolated from two sugarcane managements: Plant cane (pC1, pC2) and ratoon cane (rC1, rC2). Kernel density curves representing microbial efficiency in TBT biodegradation, with negative LeRR values indicating increased metabolism. Statistical tests (Welch and Games–Howell) and Jaffrey's default Bayes factor analyse treatment differences and validate the alternative hypothesis.
Bioprospecting Microbial Consortia for Tebuthiuron Degradation in Agricultural Soils: An Alternative Bayesian‐Driven Colorimetric Protocol

Herbicides impact, particularly tebuthiuron (TBT), on agroecosystems and surrounding environments had been documented in scientific literature. This study investigated the hypothesis that areas exposed to TBT, a prevalent herbicide in Brazil's sugarcane crops, might harbour microbial consortia capable of degrading this compound, assessed through a Bayesian‐based colorimetric method. Soil samples from plant cane (pC), characterised by lower organic matter on the surface, and first‐cut ratoon cane (rC) fields, with higher organic matter due to crop residues deposition, were collected for analysis. Colorimetric assays with DCPIP (2,6‐Dichlorophenolindophenol) were performed with microorganisms isolated from these fields to evaluate their TBT‐degradation capacity. In an ELISA microplate, absorbance was measured at 600 nm as DCPIP is a redox indicator. Results confirmed the degradation potential of soil microbial consortia, particularly from rC samples, as evidenced by reduced absorbance relative to the control. The data deviated from the expected sigmoidal pattern, necessitating an alternative data interpretation method. A Bayesian factor estimation approach for kernel density curves of the logarithmic response ratio proved effective for handling non‐sigmoidal spectrophotometric data. The findings offered valuable insights into TBT‐degrading microorganisms and introduced an alternative analytical tool for interpreting variable data, potentially aiding in the development of bio‐based remediation strategies.


Fermentative Yeast Diversity at the Northern Range Limit of Their Oak Tree Hosts

May 2025

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22 Reads

Fermentative yeasts play important roles in both ecological and industrial processes, but their distribution and abundance in natural environments are not well understood. We investigated the diversity of yeasts at the northern range limit of their oak tree hosts (Quercus spp.) in Sweden, and identified climatic and ecological conditions governing their distribution. Yeasts were isolated from bark samples from 28 forests and identified to the species level using DNA metabarcoding. Most communities were dominated by species in the Saccharomycetaceae family, especially by species of Saccharomyces, Kluyveromyces and Pichia. Each genus showed a distinct latitudinal and longitudinal distribution, and both temperature and precipitation metrics predicted significant variation in their abundance. Consistent with this, laboratory assays revealed significant effects of temperature on the growth of strains collected from different longitudes and latitudes. We found that older trees harbour more diverse and more balanced fermentative yeast communities with more evenly distributed species abundances. Communities across trees were more similar when sharing a common dominant species. This work provides a baseline for future studies on the impact of climate change on the fermentative yeast biodiversity of temperate forests in northern latitudes and contributes to a growing collection of wild isolates for potential biotechnological applications.


Nitrosarchaeum haohaiensis sp. Nov. CL1T: Isolation and Characterisation of a Novel Ammonia-Oxidising Archaeon From Aquatic Environments

May 2025

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29 Reads

Following a 3.5‐year enrichment cultivation period, a novel ammonia‐oxidising archaeon (AOA), designated strain CL1T, was isolated from Yangshan Harbour (East China Sea). Strain CL1T demonstrates a maximum ammonia tolerance of up to 10 mM. Its optimal growth conditions include a pH range of 7–8, a salinity of 2%–3%, and a temperature range of 20°C–25°C. Under these conditions, strain CL1T achieved a maximum specific growth rate of 0.87 d⁻¹, with cell yields estimated at 3.92 × 10⁶ cells mL⁻¹ μM ammonia⁻¹. Genomic sequencing revealed that strain CL1T possesses a genome size of 1.63 megabases with a high completeness of 99.95%. Phylogenetic analysis based on the 16S rRNA gene and whole‐genome data placed strain CL1T within the genus Nitrosarchaeum. The average nucleotide identity (ANI) between the genome of strain CL1T and its closest relative was 92.01%, confirming that strain CL1T represents a novel species within Nitrosarchaeum. Metabolic pathway analysis demonstrated that strain CL1T encodes key enzymes for ammonia oxidation, including ammonia monooxygenase (amoA, amoB, amoC) and copper oxidase, indicating its capacity for ammonia oxidation. Additionally, strain CL1T likely assimilates ammonia through the GS‐GOGAT and GDH pathways. Consistent with the observation of extracellular vesicles (EVs) in strain CL1T via electron microscopy, genome annotation identified core genes associated with EVs function, such as vps4 and FtsZ. The isolation of strain CL1T provides a valuable model system for investigating its ammonia metabolism and exploring its ecological interactions with other AOA, ammonia‐oxidising bacteria (AOB) and nitrite‐oxidising bacteria (NOB), thereby contributing to a deeper understanding of nitrogen cycling mechanisms in aquatic environments.


Phylogenomic tree of Raphidiopsis, including the strain isolated from Lake Trasimeno and a selection of genomes from the Genome Taxonomy Database (GTDB) and NCBI GenBank. Species names and strain identifiers in the tree tips are from the NCBI taxonomy; the last three letters in the taxa names indicate the geographic origin of the genomes (Table S1). The main clades in the tree are indicated with R1A‐B and R2A‐B. The GTDB taxonomy classification is given in the GTDB‐ Taxonomy colour code column. The colour code columns CYN and STX indicate the presence in the genomes of biosynthetic gene clusters (BGCs) encoding cylindrospermopsins and saxitoxins, respectively; colour gradients refer to the similarity of the identified BGCs to known clusters of genes encoding the two toxins estimated by antismash. The column N‐fix reports the presence of N‐fixing genes identified with the KEGG module analysis. The tree was rooted with Sphaerospermopsis kisseleviana CS‐549 as outgroup. S–H, Shimodaira–Hasegawa test computed by FastTree; high SH‐like local support values (e.g., ≥ 0.8) indicate strong statistical support for the branch. The scale bar indicates the number of substitutions per site.
The pangenome of Raphidiopsis. Each one of the 6066 gene clusters is represented by a radius that contains one or more amino acid sequences that originate from one or more genomes, which are represented by the 37 circles. Gene clusters are organised according to their distribution across the genomes, so that gene clusters that occur together in the same group of genomes are closer together. Genomes are ordered consistently with the phylogenomic tree on the top right side of the figure, based on the single copy core genes (SCGs), as well as the symmetrical matrix reporting the ANIb values computed between all 37 genomes. The outer circle highlights the two regions of the pangenome including the 1526 SCGs and the 1500 singletons. On the right‐hand side of the figure, Clades and Geography show the four main clades identified in the phylogenomic tree (Figure 1) and the indication of the geographical distribution of the genomes (as reported in detail by the last three code letters in the names of the taxa) respectively.
Heatmap showing the most abundant COG20 categories in the main pangenome groups, namely Core_Soft‐Core (grouping the Core and Soft‐Core), Shell and Cloud genomes. Less represented categories in genomes (< 6) were grouped under ‘Other COG20 categories’. GFPO, General Function Prediction Only. Before plotting, the data were transformed by log10(x + 1). Unclassified gene families were grouped under ‘NA’.
Phylogenomic and Pangenomic Assessment of a Mediterranean Strain of Raphidiopsis raciborskii Extends Knowledge of the Global Distribution and Characteristics of a Potentially Toxigenic Cyanobacterium

May 2025

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62 Reads

Among potentially toxigenic cyanobacteria, Raphidiopsis raciborskii has attracted considerable attention due to its ability to produce massive blooms and its recent spread to temperate regions. In this work, we reported for the first time a taxonomic and functional assessment of a R. raciborskii strain isolated from the Mediterranean region, contributing to filling a gap in the global distribution and characteristics of this species. The strain LT_0923 was isolated from Lake Trasimeno, a large and shallow lake in central Italy. The phylogenomic analyses based on selected marker genes and the core genome obtained from a pangenomic analysis based on a selection of available high‐quality genomes showed a strong correspondence of the Lake Trasimeno strain with the North American and, at a lower average nucleotide identity, with the South American genomes. The LT_0923 genome did not show the presence of gene clusters encoding legacy cyanotoxins or emerging toxigenic compounds. The open pangenome and the large fraction of distinct gene families identified in the cloud and partly shell genome, enriched with genes specialised in environmental‐specific functions and defence mechanisms, are consistent with the development of Raphidiopsis in geographically distinct regions.


Location of sampling sites in Barranquilla City, Colombia: (A) Peace Square (S1); (B) Barranquilla Riverwalk (S2); (C) Puerto Colombia (S3); (D) Galapa (S4).
Type III sum of squares model based on general linear models, showcasing means and 95% LSD intervals for campaigns monitoring (a), session (b), sampling stations (c) and stages (d).
Mean concentration of fungal bioaerosol by sampling site and size range (a); total mean concentration for each species and aerodynamic size (b); Size ranges in these diameters: > 7.0 μm (Nasal Cavity), 4.7–7.0 μm (Pharynx), 3.3–4.7 μm (Trachea and primary bronchi), 2.1–3.3 μm (Secondary bronchi), 1.1–2.1 μm (Terminal bronchi) and 0.65–1.1 μm (Alveoli).
The wind rose pollution of all sampling sites, urbanised areas: (A) S1 Peace Square de la Paz. (B) S2 Barranquilla Riverwalk del Rio. (C) S3 Puerto Colombia and non‐urbanised area: (D) Galapa.
Schematic representation of multicap perceptron neural network used to classify cases when the concentration of the fungal bioaerosols exceeded their lowest value (316 CFU/m³). The correct forecasting capacity of the network was 76.87% based on the parameters of this study.
Urbanisation and Lockdown Impact on Airborne Fungal Communities in Tropical Landscapes: A Comparative Study of Urban and Peri‐Urban Environments

May 2025

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44 Reads

This study assessed the concentration, composition, and spatiotemporal distribution of airborne fungi in a metropolitan area, comparing urban and peri‐urban sites across rainy and dry seasons. An 8‐month fungal bioaerosol monitoring was conducted using a six‐stage Andersen cascade impactor. Data analysis involved generalised linear regression models and multifactorial ANOVA to assess the relationships between meteorological conditions, sampling sites, campaigns, fungal concentrations, and impactor stages. Additionally, a Bayesian neural network was developed to predict bioaerosol dynamics based on the analysed variables. We identified 10 viable fungal species, including Aspergillus niger, Aspergillus nidulans, Aspergillus. fumigatus, Aspergillus terreus, Aspergillus flavus, Aspergillus versicolor, Penicillium spp. and Fusarium oxysporum. Notable differences in the aerodynamic sizes of fungal particles influenced their distribution and potential impact on the respiratory system. The Bayesian neural network successfully predicted fungal bioaerosol concentrations with an accuracy of 76.87%. Our findings reveal the significant role of environmental and human‐related factors in shaping bioaerosol distribution in tropical urban contexts. This research provides essential insights into the behaviour of fungal bioaerosols, highlighting their relevance for public health, especially for immunocompromised populations, and their impact on local agriculture. Furthermore, it demonstrates the potential of fungal bioaerosols as bioindicators for environmental monitoring and predictive modelling.


Honey Bee Viromes From Varroa destructor‐Resistant and Susceptible Colonies

May 2025

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96 Reads

Honey bees (Apis mellifera) play a crucial role in global food production through pollination services. However, their populations are threatened by various stressors, like the ectoparasitic mite Varroa destructor and associated viral pathogens. In this study, we aimed to characterise and compare the viral communities (viromes) in V. destructor‐resistant and susceptible colonies using high‐throughput sequencing. Our findings revealed differences in virome composition associated with the season and not with the resistance or susceptibility to V. destructor. Furthermore, we detected Apis mellifera filamentous virus (AmFV) and Lake Sinai virus (LSV) for the first time in Uruguay, and obtained the complete or partial genomes of both viruses, along with those of other previously described viruses, such as Acute bee paralysis virus (ABPV), Black queen cell virus (BQCV), Deformed wing virus (DWV), and Sacbrood virus (SBV). This study contributes to a deeper understanding of the virome dynamics in honey bees. It highlights the importance of this type of study for the early detection of new viral pathogens, which could help to understand the tripartite network involving V. destructor, honey bees, and viruses.


(A) Contour plots for carbon dioxide (CO2; upper plots) and methane (CH4; lower plots) partial pressure in lake Klocka in June (‘Jun’) and September (‘Sep’), across sampling time and depths. A LOESS (locally estimated scatterplot smoothing) model was fitted in the z‐axis (gas partial pressure) to generate the plots. (B) Partial pressure of CO2 (upper plots) and CH4 (lower plots) over diel cycles in the peat bog. Measurements were done in triplicates, and vertical lines indicate the standard deviation from the mean values.
Relative abundance of bacterial families in the peat bog across both sampling periods. Bars represent individual samples and each colour illustrates a different bacterial family. Taxa with relative abundances less than 1% in a sample are grouped together. ASVs with unassigned taxonomy at the family level (bootstrap less than 50) are not included in this plot, but can be found in Figure S13. The sample at time point 3 in September had zero reads and thus, no data are presented.
Relative abundance, transformed as the z‐score, for the 12 early riser ASVs that exhibited constantly their highest relative abundances at 07:15 in the peat bog during the September sampling period. The sample at time point 3 in September had zero reads and thus, no data are presented.
NMDS plot of bacterial communities in the peat bog and lake Klocka (ASV level, stress = 0.196), calculated using a Bray–Curtis dissimilarity matrix for the sampling periods in June and September. Symbols represent individual samples (189 in total), they are coloured according to the combination of site and month and shaped based on depth.
(A) NMDS plot of bacterial communities in the peat bog (ASV level, stress = 0.160), calculated using a Bray–Curtis dissimilarity matrix, for the sampling periods in June and September. Symbols represent individual samples (31 in total) and they are coloured according to sampling time and shaped based on month. Arrows represent significant (p < 0.01) correlations of environmental variables with the structure of bacterioplankton communities. The arrows length is proportional to the correlation between ordination and environmental variable. ‘T’ and ‘B’ stand for peaks T and B, respectively. ‘Temperature’ stands for water temperature, ‘HIX’ for the humification index and ‘pCH4’ for the partial pressure of methane. (B) Heat map of Kendall's Tau correlation coefficients between the early riser ASVs (rows) and the measured environmental factors (columns). The numerical scale indicates the coefficient, while the colour scale shows the degree of correlation (red for negative correlations; blue for positive correlations). Significance levels are marked with the following asterisks: *0.01 < p ≤ 0.05, **0.001 < p ≤ 0.01. ‘Oxygen’ stands for the dissolved oxygen concentration in the water, ‘Chl‐a’ for chlorophyll a, ‘FI’ for the fluorescence index, ‘β:α’ for the freshness index, ‘HIX’ for the humification index and, ‘pCH4’ and ‘pCO2’ for the partial pressure of methane and carbon dioxide, respectively.
Diel Bacterioplankton Community Dynamics Under Contrasting Light Regimes

May 2025

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77 Reads

In the Boreal region, extreme seasonal variations in day–night length expose communities to dynamic light and temperature fluctuations. Freshwater bacterioplankton, representing key ecosystem components, faces climate‐driven shifts; yet the fixed day‐length patterns determined by latitude underscore the importance of studying light's role in predicting ecosystem responses. We investigated bacterial community composition in a brown peat bog and a clear oligotrophic lake across seasons with contrasting light regimes: the summer solstice (> 20 h of daylight) and the autumn equinox (equal day‐night length). Using amplicon sequencing of 16S rRNA transcripts, alongside measurements of physicochemical parameters, organic matter characterisation and dissolved carbon dioxide and methane gas measurements, we found no diel cycling in the lake during either period or in the peat bog near the summer solstice. However, the structure of bacterial peat bog communities exhibited cyclic changes over diel cycles at the autumn equinox. Twelve amplicon sequence variants, including both phototrophic and heterotrophic taxa, increased in abundance at all measured morning sampling times. These findings provide valuable insights into the diel patterns of boreal lentic habitats and their bacterioplankton communities, highlighting the absence of diel fluctuations in some systems and seasons, while revealing cyclic dynamics in others, driven by conditionally rare taxa.


Survival profile of in vitro reared larvae inoculated at the first instar stage with three isolates of Paenibacillus melissococcoides, and one isolate each of Paenibacillus dendritiformis, Paenibacillus thiaminolyticus and Melissococcus plutonius, compared with non‐inoculated control larvae. The sample size is indicated in the legend. The asterisks represent significant differences between the groups' survival curves (log‐rank tests, p < 0.05, Table S2).
Location of apiaries screened for Paenibacillus melissococcoides in the period 2005–2021 in Switzerland. The number of apiaries analysed per year and symptom status is indicated next to the corresponding symbol in the legend: Circles correspond to screened apiaries with EFB‐symptomatic colonies, triangles to screened apiaries with asymptomatic colonies, and squares to idiopathic cases. Colours represent the different years. In many occasions, apiaries screened were so close to each other that their symbols overlap completely.
Paenibacillus melissococcoides pathogenicity to honey bee brood. (A) Assay design and corresponding steps of the Koch's postulates (in bold) testing the pathogenicity of P. melissococcoides at the individual level. Also shown are the results of MALDI‐TOF mass‐spectrometry identification (column ‘organism’) of P. melissococcoides after sequential isolation and re‐isolation from larvae that died following inoculation with isolate 1.2 (column ‘strain’). Score value interpretation: 3.000–2.300: Highly probable species identification; 2.299–2.000: Secure genus identification, probable species identification; 1.999–1.700: Probable genus identification; 1.699–0.000: Unreliable identification. (B) Survival profile of in vitro reared larvae inoculated at first instar stage with P. melissococcoides 1.2, which was reisolated from a previously inoculated dead fifth instar larva. Survival was compared with non‐inoculated control larvae. The sample size is indicated in the legend. The asterisk represents a significant difference between the groups' survival curves (log‐rank test).
Survival profiles of in vitro reared larvae inoculated with Paenibacillus melissococcoides 3.2 and of non‐inoculated control larvae. (A) Dose dependence: One‐day‐old larvae inoculated on the first day of rearing with different doses of P. melissococcoides (in CFUs) and controls. (B) Age dependence: One‐, three‐ and five‐day‐old larvae inoculated with 2 × 10⁵ P. melissococcoides bacteria (arrows), respectively, and controls. The sample size is indicated in the legend. Different letters to the right of the curves indicate significant differences in the survival of the tested dose and age groups (pairwise log‐rank tests, Bonferroni‐Holm corrected, p < 0.05).
Ecology and Pathogenicity for Honey Bee Brood of Recently Described Paenibacillus melissococcoides and Comparison With Paenibacillus dendritiformis, Paenibacillus thiaminolyticus

May 2025

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45 Reads

Honey bee colonies contain thousands of individuals living in close proximity in a thermally homeostatic nest, creating ideal conditions for the thriving of numerous pathogens. Among the bacterial pathogens, Paenibacillus larvae infects larvae via the nutritive jelly that adult workers feed them, causing the highly contagious American foulbrood disease. Further Paenibacillus species were anecdotally found in association with honey bees, including when affected by another disease, European foulbrood (EFB). However, their pathogenicity remains largely unknown. Our results indicate that Paenibacillus dendritiformis, Paenibacillus thiaminolyticus and newly described Paenibacillus melissococcoides are pathogenic towards honey bee brood and that their virulence correlates with their sporulation ability, which confers them resistance to the bactericidal properties of the nutritive jelly. Our survey occasionally but increasingly detected P. melissococcoides in confirmed and idiopathic cases of EFB but never in healthy colonies, suggesting that this bacterium is an emerging pathogen of honey bee brood. Overall, our results suggest that virulence traits allowing a pathogenic or opportunistically pathogenic habit towards honey bee brood are frequent in Paenibacillus spp., but that their degree of adaptation to this host varies. Our study clarifies the ecology of this ubiquitous genus, especially when infecting honey bees.


Neighbor‐joining tree of 277 New Zealand S. aureus isolates. The outer circle classifies the clonal complexes and the inner circle the host species. The letter ‘F’ in the identifier of bovine and small ruminant isolates is for ‘farm’, and is followed by the numerical farm identifier. The letter ‘Y’ is followed by the year of collection (Nesaraj et al. 2023). ST: sequence type. Note the quasi‐complete separation of ruminant and human/canine/feline CC1, and of bovine and small ruminant CC8 and CC133, and the co‐mingling of human, canine and feline isolates across CCs.
Jukes‐Cantor neighbor‐joining tree of 117 CC1 (upper circular tree), 19 CC133 (middle tree) and eight CC8 isolates (lower tree). In CC133 and CC8, sheep isolates are in red, and bovine isolates are in black. B: bovine; C: canine; F: feline; H: human; S: small ruminant. One isolate per farm was used. Note the segregation according to host species in all three CCs, except for human, canine and feline isolates that co‐mingle. The segregation by ruminant farm can be observed in Figure 1.
Upper plot: principal coordinate analysis (PCoA) plot obtained using the Roary binary gene/absence matrix of 212 S. aureus isolates. Lower plot: PCoA plot obtained from the ARIBA virulome binary gene/absence matrix of 211 isolates. The two main coordinates explained more than 50% of the variation in both cases. Isolates are represented by data points positioned in the bidimensional space delineated by the two main coordinates. In the upper plot, B139 segregates with human/canine/feline CC1 and H11 segregates with bovine CC1 (blue arrows). In the lower plot, note the bovine CC15 (black plus) and CC5 (black X) segregating from the human CC15 and CC5 and co‐mingling with other ruminant CCs (blue arrows). In the same area, note also co‐mingling of ruminant virulomes from different CCs. For a differentiation between human, canine and feline isolates, see the original paper (Grinberg et al. 2017). Upper plot: bovine isolates—dots; human, canine and feline—plus; small ruminants—squares. Black—CC1, brown—CC45, dark blue—CC5, crimson—CC8, blue‐violet—CC15, red—CC30, green—CC78, aqua—CC97, maroon—CC133, light coral—CC151, dark green—CC188, olive—CC692, orange—CC1640, yellow—CC5367. Lower plot: bovine isolates—black; human, canine, and feline—blue; small ruminants—red. The isolates are identified by their clonal complexes (CCs): CC1—dots, CC8—'O', CC97—solid triangle, CC15 and CC692—plus, CC133—solid square, CC78—inverted triangle, CC151—bar, CC5367—star, CC5—X, CC45—oval, CC188—square, CC30—triangle, and CC1640—diamond.
Omnilog kinetic curves of six human and 10 bovine CC1 isolates in the presence of D‐lactose, butyric acid, D‐galactose and caproic acid. Each isolate was tested in duplicate, for a total of 32 curves. X‐axis: time; Y‐axis: recorded Omnilog value. Bovine isolates are in green and human isolates in light brown. Note the split between bovine and human curves for lactose and caproic acid, and the co‐mingling of the curves for butyric acid and galactose.
The Host Adaptation of Staphylococcus aureus to Farmed Ruminants in New Zealand, With Special Reference to Clonal Complex 1

May 2025

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24 Reads

Genetic features of host adaptation of S. aureus to ruminants have been extensively studied, but the extent to which this adaptation occurs in nature remains unknown. In New Zealand, clonal complex 1 (CC1) is among the most common lineages in humans and the dominant lineage in cattle, enabling between‐, and within‐CC genomic comparisons of epidemiologically cohesive samples of isolates. We assessed the following genomic benchmarks of host adaptation to ruminants in 277 S. aureus from cattle, small ruminants, humans, and pets: 1, phylogenetic clustering of ruminant strains; 2, abundance of homo‐specific ruminant‐adaptive factors, and 3, scarcity of heterospecific factors. The genomic comparisons were complemented by comparative analyses of the metabolism of carbon sources that abound in ruminant milk. We identified features fulfilling the three benchmarks in virtually all ruminant isolates, including CC1. Data suggest the virulomes adapt to the ruminant niche sensu lato accross CCs. CC1 forms a ruminant‐adapted clade that appears better equipped to utilise milk carbon sources than human CC1. Strain flow across the human–ruminant interface appears to only occur occasionally. Taken together, the results suggest a specialisation, rather than mere adaptation, clarifying why zoonotic and zoo‐anthroponotic S. aureus transmission between ruminants and humans has hardly ever been reported.


Intrathalline Fungal and Bacterial Diversity Is Uncovered in Antarctic Lichen Symbioses

May 2025

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99 Reads

Although the Antarctic continent represents one of the most hostile environments on earth, microbial life has adapted to cope with these extreme conditions. Lichens are one of the most successful groups of organisms in Antarctica, where they serve as unique niches for microbial diversification. We have selected eight epilithic lichen species growing in Victoria Land (three cosmopolitan and five endemic to Antarctica) to describe with amplicon sequencing the diversity of the associated fungal and bacterial communities. The lichen mycobiota is predominantly composed of Ascomycota belonging to the classes Chaetothyriomycetes and Dothideomycetes, while a few key representative taxa were recognised as basidiomycetous yeasts. Bacteria associated with lichens were represented by Pseudomonadota, Cyanobacteria, and Bacteroidota in which psychrophilic genera were identified. The microbiota was diverse among the lichen species, and their variation was driven by the lichen species itself and their endemic or cosmopolitan distribution. There was a strong association of the microbial communities linked to the lichen itself, rather than to the specific characteristics of the collecting site. The lichen thallus, thus, plays an important role in microbial diversification and may potentially act as a selective biodiversity filter in which different fungal and bacterial communities thrive in it.


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3.6 (2023)

Journal Impact Factor™


62%

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6.0 (2023)

CiteScore™


42 days

Submission to first decision


0.724 (2023)

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