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Bacteria infecting the plant phloem represent a growing threat worldwide. While these organisms often resist in vitro culture, they multiply both in plant sieve elements and hemipteran vectors. Such cross-kingdom parasitic lifestyle has emerged in diverse taxa via distinct ecological routes. In the genus Arsenophonus, the phloem pathogens "Candidatus Arsenophonus phytopathogenicus" (Ap) and "Ca. Phlomobacter fragariae" (Pf) have evolved from insect endosymbionts, but the genetic mechanisms underlying this transition have not been explored. To fill this gap, we obtained the genomes of both strains from insect host metagenomes. The resulting assemblies are highly similar in size and functional repertoire, rich in viral sequences, and closely resemble the genomes of several facultative endosymbiotic Arsenophonus strains of sap-sucking hemipterans. However, a phylogenomic analysis demonstrated distinct origins, as Ap belongs to the "Triatominarum" clade, whereas Pf represents a distant species. We identified a set of orthologs encoded only by Ap and Pf in the genus, including hydrolytic enzymes likely targeting plant substrates. In particular, both bacteria encode putative plant cell wall-degrading enzymes and cysteine peptidases related to xylellain, a papain-like peptidase from Xylella fastidiosa, for which close homologs are found in diverse Pseudomonadota infecting the plant vasculature. In silico predictions and gene expression analyses further support a role during phloem colonization for several of the shared orthologs. We conclude that the double emergence of phytopathogenicity in Arsenophonus may have been mediated by a few horizontal gene transfer events, involving genes acquired from other Pseudomonadota, including phytopathogens.

Importance: We investigate the genetic mechanisms of a transition in bacterial lifestyle. We focus on two phloem pathogens belonging to the genus Arsenophonus: "Candidatus Arsenophonus phytopathogenicus" and "Ca. Phlomobacter fragariae." Both bacteria cause economically significant pathologies, and they have likely emerged among facultative insect endosymbionts. Our genomic analyses show that both strains are highly similar to other strains of the genus associated with sap-sucking hemipterans, suggesting a recent lifestyle shift. Importantly, although the phytopathogenic Arsenophonus strains belong to distant clades, they share a small set of orthologs unique in the genus pangenome. We provide evidence that several of these genes produce hydrolytic enzymes that are secreted and may target plant substrates. The acquisition and exchange of these genes may thus have played a pivotal role in the lifestyle transition of the phytopathogenic Arsenophonus strains.

The gut microbiota of bats is vital for their roles in health and the ecosystem, yet studies on hibernating bats in southwest China, particularly in the unique karst landscape of Guizhou, are limited. We captured three hibernating bat species-Pipistrellus (PB), Rhinolophus (RB), and Myotis (MB)-in Liping County, collecting rectal samples for 16S rRNA amplicon sequencing. Data processing involved Trimmomatic, Flash, and Qiime2 for operational taxonomic unit (OTU) standardization and species annotation via the Greengenes database. Differential abundance was analyzed using LEfSe, and diversity metrics were assessed through alpha and beta diversity analyses. The RB group was predominantly composed of Proteobacteria (80.99%), while MB and PB exhibited diverse compositions with significant OTU richness (729 in MB). Notable genera included Hafnia and Yersinia in RB and Cosenzaea myxofaciens in MB. High proportions of unclassified taxa were observed, particularly in RB (83.81%). Functional predictions indicated metabolic pathways, with a significant representation of human diseases in PB. Culturomics revealed the successful cultivation of Huaxiibacter chinensis and Enterobacter chengduensis from bats for the first time and appears to have identified a new bacterium that is likely closely related to Clostridium paraputrificum.IMPORTANCEOur research reveals significant differences in the composition and diversity of the gut microbiota among three bat groups (PB, MB, and RB) from Guizhou. While Proteobacteria predominates in all groups, its abundance varies. Notably, the high richness of operational taxonomic units (OTUs) in the MB group suggests a more diverse microbial ecosystem, underscoring the complex interactions between species diversity, diet, gut microbiota, and overall ecological dynamics in bats. Furthermore, the substantial presence of unknown bacterial species in their intestines highlights the critical importance of cultivation-based approaches. The presence of specific taxa may have potential health implications for both bats and humans. These findings emphasize the need for further investigations into the functional roles of these microbiota and their contributions to host health. Future research should focus on longitudinal studies to elucidate these intricate interactions.

Mycobacterium tuberculosis has developed a wide array of response mechanisms to various stress factors. Usnic acid has been demonstrated to be a potent antimycobacterial agent that induces stress responses and growth inhibition in many mycobacterial species. Previous studies have shown that it alters the expression of stress-responsive sigma factors, as well as the metabolites and lipid profile in M. tuberculosis H37Ra. This study was designed to examine potential differences in the strain-specific susceptibility of the virulent H37Rv strain to usnic acid. By combining lipidomic and transcriptomic analyses, we uncovered the impact of usnic acid on bacterial metabolism. The observed downregulation of key lipid classes suggested reduced metabolic activity. The simultaneous elevation of mycobactins-siderophores used by members of the genus Mycobacterium to transport free extracellular iron ions into the cytoplasm-indicated the involvement of iron in the stress response generated by usnic acid. The repressed tricarboxylic acid (TCA) cycle and oxidative phosphorylation were compensated by the upregulation of alternative energy production pathways, such as cytochrome P450 and the ferredoxin reductase system. This indicates that mycobacteria may switch to alternative electron transport mechanisms under usnic acid stress using iron-sulfur clusters to generate energy. From a therapeutic perspective, the study highlights iron metabolism as an essential drug target in mycobacteria. Simultaneously, the results confirm the strain-specific metabolic response of sister strains against the same stressing agent.

Importance: A previous study on the influence of usnic acid on the avirulent H37Ra strain revealed that the early bacterial response was associated with redox homeostasis, lipid synthesis, and nucleic acid repair. The response of bacteria to antimicrobials is specific to each species and strain. Given the genetic and phenotypic differences between the avirulent H37Ra strain and the virulent H37Rv strain, we combined lipidomics and global transcriptomics to uncover the mechanism of action of usnic acid against H37Rv. The study identified strain-specific differences between the virulent H37Rv and avirulent H37Ra. The H37Ra strain exhibited increased metabolic activity, while the H37Rv strain showed a reduction in basic metabolic processes and activated alternative iron-dependent energy production. These differences highlight the varying susceptibility of sister strains within the same species to the same antibacterial agent.

Stroke is the second leading cause of death worldwide. Acute ischemic stroke (AIS) patients often exhibit hypercoagulable state and gut microbiota dysbiosis. However, the association between coagulation abnormalities and gut microbiota dysbiosis in AIS patients and their predictive value for poor functional outcomes in AIS has not been investigated. Our study enrolled 95 AIS patients and 81 healthy controls, using 16S rRNA sequencing to analyze gut microbiota composition. Baseline fibrinogen level was found to be an independent risk factor for poor functional outcomes at 90-day follow-up (odds ratio = 2.16, 95% confidence interval: 1.02-4.59, P = 0.044). AIS patients showed significant gut microbiota dysbiosis, with significantly increased Parabacteroides and Alistipes, and decreased Prevotella and Roseburia, associated with coagulation indices. Furthermore, compared with AIS patients with normal coagulation function, those in a hypercoagulable state exhibited a significant increase in Alistipes and a decrease in Prevotella. We identified gut microbial biomarkers consisting of 15 bacteria that predicted poor functional outcome in AIS patients at 90-day follow-up. Coagulation indices improved the predictive performance of these biomarkers. In training and validation cohorts, area under the curve (AUC) values were 0.930 and 0.890 for microbial biomarkers alone, 0.691 and 0.751 for coagulation indices alone, and 0.943 and 0.944 for coagulation indices combined with gut microbial biomarkers. Our study showed that AIS patients with hypercoagulable state had gut microbiota dysbiosis, with Alistipes and Prevotella significantly associated with coagulation indices. A classification model based on coagulation indices and gut microbial biomarkers accurately predicted poor functional outcome in AIS patients at 90-day follow-up.

Importance: Acute ischemic stroke (AIS) patients often exhibit hypercoagulable state and gut microbiota dysbiosis. However, the relationship between hypercoagulable state and gut microbiota dysbiosis in AIS patients and their predictive value for poor functional outcomes has not been fully explored. Our study of 95 AIS patients showed that baseline fibrinogen level was an independent risk factor for poor functional outcome at 90-day follow-up in AIS patients. Hypercoagulable state in AIS patients correlates with gut microbiota dysbiosis. AIS patients with hypercoagulable state had increased Alistipes abundance and decreased Prevotella abundance. A classification model based on coagulation indices and gut microbial biomarkers accurately predicted poor functional outcome in AIS patients at 90-day follow-up.

The human gut virome is predominantly made up of bacteriophages (phages), viruses that infect bacteria. Metagenomic studies have revealed that phages in the gut are highly individual specific and dynamic. These features make it challenging to perform meaningful cross-study comparisons. While several taxonomy frameworks exist to group phages and improve these comparisons, these strategies provide little insight into the potential effects phages have on their bacterial hosts. Here, we propose the use of predicted phage host families (PHFs) as a functionally relevant, qualitative unit of phage classification to improve these cross-study analyses. We first show that bioinformatic predictions of phage hosts are accurate at the host family level by measuring their concordance to Hi-C sequencing-based predictions in human and mouse fecal samples. Next, using phage host family predictions, we determined that PHFs reduce intra- and interindividual ecological distances compared to viral contigs in a previously published cohort of 10 healthy individuals, while simultaneously improving longitudinal virome stability. Lastly, by reanalyzing a previously published metagenomics data set with >1,000 samples, we determined that PHFs are prevalent across individuals and can aid in the detection of inflammatory bowel disease-specific virome signatures. Overall, our analyses support the use of predicted phage hosts in reducing between-sample distances and providing a biologically relevant framework for making between-sample virome comparisons.

Importance: The human gut virome consists mainly of bacteriophages (phages), which infect bacteria and show high individual specificity and variability, complicating cross-study comparisons. Furthermore, existing taxonomic frameworks offer limited insight into their interactions with bacterial hosts. In this study, we propose using predicted phage host families (PHFs) as a higher-level classification unit to enhance functional cross-study comparisons. We demonstrate that bioinformatic predictions of phage hosts align with Hi-C sequencing results at the host family level in human and mouse fecal samples. We further show that PHFs reduce ecological distances and improve virome stability over time. Additionally, reanalysis of a large metagenomics data set revealed that PHFs are widespread and can help identify disease-specific virome patterns, such as those linked to inflammatory bowel disease.

Disruption of aryl hydrocarbon receptor (AhR) signaling and aberrant tryptophan metabolism have been shown to be highly associated with aging and age-related disorders. However, the underlying molecular mechanisms by which the AhR-mediated signaling pathway contributes to the aging process remain largely unknown. In this study, we find that aged Drosophila exhibits markedly reduced tryptophan metabolism leading to impaired AhR ligands, especially indole acetic acid (IAA), compared with their young controls. Supplementation with IAA, produced from Lactobacillus spp., dose-dependently extends the lifespan of Drosophila and improves healthy aging with resistance to starvation and oxidative stress. Mechanistically, activation of AhR by IAA markedly enhances Sirt2 activity by binding to its promoter, thereby inhibiting downstream TOR signaling and related fatty acid and amino acid metabolism. Both Ahr and Sirt2 mutant flies with IAA supplementation display a negligible lifespan extension, suggesting that AhR-mediated Sirt2 signaling contributes to lifespan extension in flies upon IAA supplementation. From the perspective of host metabolism, IAA supplementation significantly increases unsaturated fatty acids (UFAs) in aged flies, which are regarded to be beneficial for healthy status. These findings provide new insights into the physiological functions of AhR involved in the aging process by mediating Sirt2 signaling.

Importance: Disruption of aryl hydrocarbon receptor (AhR) signaling and aberrant tryptophan metabolism contribute to aging and age-related disorders, but the underlying molecular mechanisms are largely unknown. Using multiomics analyses combined with biochemical assays, this study reveals that AhR activation by indole acetic acid (IAA) effectively extends the lifespan accompanied by improved healthy aging in Drosophila via the AhR-Sirt2 pathway.

IncF plasmids are mobile genetic elements found in bacteria from the Enterobacteriaceae family and often carry critical antibiotic and virulence gene cargo. The classification of IncF plasmids using the plasmid Multi-Locus Sequence Typing (pMLST) tool from the Center for Genomic Epidemiology (CGE; https://www.genomicepidemiology.org/) compares the sequences of IncF alleles against a database to create a plasmid sequence type (ST). Accurate identification of plasmid STs is useful as it enables an assessment of IncF plasmid lineages associated with pandemic enterobacterial STs. Our initial observations showed discrepancies in IncF allele variants reported by pMLST in a collection of 898 Escherichia coli ST131 genomes. To evaluate the limitations of the pMLST tool, we interrogated an in-house and public repository of 70,324 E. coli genomes of various STs and other Enterobacteriaceae genomes (n = 1247). All short-read assemblies and representatives selected for long-read sequencing were used to assess pMLST allele variants and to compare the output of pMLST tool versions. When multiple allele variants occurred in a single bacterial genome, the Python and web versions of the tool randomly selected one allele to report, leading to limited and inaccurate ST identification. Discrepancies were detected in 5,804 of 72,469 genomes (8.01%). Long-read sequencing of 27 genomes confirmed multiple IncF allele variants on one plasmid or two separate IncF plasmids in a single bacterial cell. The pMLST tool was unable to accurately distinguish allele variants and their location on replicons using short-read genome assemblies, or long-read genome assemblies if the same allele variant was present more than once.

Importance: Plasmid sequence type is crucial for describing IncF plasmids due to their capacity to carry important antibiotic and virulence gene cargo and consequently due to their association with disease-causing enterobacterial lineages exhibiting resistance to clinically relevant antibiotics in humans and food-producing animals. As a result, precise reporting of IncF allele variants in IncF plasmids is necessary. Comparison of the FAB formulae generated by the pMLST tool with annotated long-read genome assemblies identified inconsistencies, including examples where multiple IncF allele variants were present on the same plasmid but missing in the FAB formula, or in cases where two IncF plasmids were detected in one bacterial cell, and the pMLST output provided information only about one plasmid. Such inconsistencies may cloud interpretation of IncF plasmid replicon type in specific bacterial lineages or inaccurate assumptions of host strain clonality.

Long-read metagenomics provides a promising alternative approach to fungal identification, circumventing methodological biases, associated with DNA amplification, which is a prerequisite for DNA barcoding/metabarcoding based on the primary fungal DNA barcode (Internal Transcribed Spacer (ITS) region). However, DNA extraction for long-read sequencing-based fungal identification poses a significant challenge, as obtaining long and intact fungal DNA is imperative. Comparing different lysis methods showed that chemical lysis with CTAB/SDS generated DNA from pure fungal cultures with high yields (ranging from 11.20 ± 0.17 µg to 22.99 ± 2.22 µg depending on the species) while preserving integrity. Evaluating the efficacy of human DNA depletion protocols demonstrated an 88.73% reduction in human reads and a 99.53% increase in fungal reads compared to the untreated yeast-spiked human blood control. Evaluation of the developed DNA extraction protocol on simulated clinical hemocultures revealed that the obtained DNA sequences exceed 10 kb in length, enabling a highly efficient sequencing run with over 80% active pores. The quality of the DNA, as indicated by the 260/280 and 260/230 ratios obtained from NanoDrop spectrophotometer readings, exceeded 1.8 and 2.0, respectively. This demonstrated the great potential of the herein optimized protocol to extract high-quality fungal DNA from clinical specimens enabling long-read metagenomics sequencing.

Importance: A novel streamlined DNA extraction protocol was developed to efficiently isolate high molecular weight fungal DNA from hemoculture samples, which is crucial for long-read sequencing applications. By eliminating the need for labor-intensive and shear-force-inducing steps, such as liquid nitrogen grinding or bead beating, the protocol is more user-friendly and better suited for clinical laboratory settings. The automation of cleanup and extraction steps further shortens the overall turnaround time to under 6 hours. Although not specifically designed for ultra-long DNA extraction, this protocol effectively supports fungal identification through Oxford Nanopore Technology (ONT) sequencing. It yields high molecular weight DNA, resulting in longer sequence fragments that improve the number of fungal reads over human reads. Future improvements, including adaptive sampling technology, could further simplify the process by reducing the need for human DNA depletion, paving the way for more automated, bioinformatics-driven workflows.