IncX3 plasmids carrying the New Delhi metallo-β-lactamase-encoding gene, blaNDM-5, are rapidly spreading globally in both humans and animals. Given that carbapenems are listed on the WHO AWaRe watch group and are prohibited for use in animals, the drivers for the successful dissemination of Carbapenem-Resistant Enterobacterales (CRE) carrying blaNDM-5-IncX3 plasmids still remain unknown. We observe that E. coli carrying blaNDM-5-IncX3 can persist in chicken intestines either under the administration of amoxicillin, one of the largest veterinary β-lactams used in livestock, or without any antibiotic pressure. We therefore characterise the blaNDM-5-IncX3 plasmid and identify a transcription regulator, VirBR, that binds to the promoter of the regulator gene actX enhancing the transcription of Type IV secretion systems (T4SS); thereby, promoting conjugation of IncX3 plasmids, increasing pili adhesion capacity and enhancing the colonisation of blaNDM-5-IncX3 transconjugants in animal digestive tracts. Our mechanistic and in-vivo studies identify VirBR as a major factor in the successful spread of blaNDM-5-IncX3 across one-health AMR sectors. Furthermore, VirBR enhances the plasmid conjugation and T4SS expression by the presence of copper and zinc ions, thereby having profound ramifications on the use of universal animal feeds.

The increasing prevalence of drug-resistant Escherichia coli (E. coli) resulting from the excessive utilization of antibiotics necessitates the immediate exploration of alternative approaches to counteract pathogenic E. coli. Phages, with their unique antibacterial mechanisms, are considered promising candidates for treating bacterial infections. Herein, we isolated a lytic Escherichia phage Tequatrovirus YZ2 (phage YZ2), which belongs to the genus Tequatrovirus. The genome of phage YZ2 consists of 168,356 base pairs with a G + C content of 35.34% and 269 putative open reading frames (ORFs). Of these, 146 ORFs have been annotated as functional proteins associated with nucleotide metabolism, structure, transcription, DNA replication, translation, and lysis. In the mouse model of a skin wound infected by E. coli, phage YZ2 therapy significantly promoted the wound healing. Furthermore, histopathological analysis revealed reductions in IL-1β and TNF-α and increased VEGF levels, indicating the potential of phages as effective antimicrobial agents against E. coli infection.

Mycobacterium avium subspecies paratuberculosis (MAP) is the causative agent of Johne\'s Disease, a chronic granulomatous enteritis of ruminants. MAP establishes an infection in the host via the small intestine. This requires the bacterium to adhere to, and be internalised by, cells of the intestinal tract. The effector molecules expressed by MAP for this purpose remain to be fully identified and understood. Mammalian cell entry (mce) proteins have been shown to enable other Mycobacterial species to attach to and invade host epithelial cells. Here, we have expressed Mce1A, Mce1D, Mce3C and Mce4A proteins derived from MAP on the surface of a non-invasive Escherichia coli to characterise their role in the initial interaction between MAP and the host. To this end, expression of mce1A was found to significantly increase the ability of the E. coli to attach and survive intracellularly in human monocyte-like THP-1 cells, whereas expression of mce1D was found to significantly increase attachment and invasion of E. coli to bovine epithelial cell-like MDBK cells, implying cell-type specificity. Furthermore, expression of Mce1A and Mce1D on the surface of a previously non-invasive E. coli enhanced the ability of the bacterium to infect 3D bovine basal-out enteroids. Together, our data contributes to our understanding of the effector molecules utilised by MAP in the initial interaction with the host, and may provide potential targets for therapeutic intervention.

Expression and purification of membrane-bound proteins remains a challenge and limits enzymology efforts, contributing to a substantial knowledge gap in the biochemical functions of many proteins found in nature. Accordingly, the study of bacterial UbiA terpene synthases (TSs) has been limited due to the experimental hurdles required to purify active enzymes for characterization in vitro. Previous work employed the use of microsomes or crude membrane fractions to test enzyme activity; however, these methods can be labor intensive, require access to an ultracentrifuge, or may not be suitable for all membrane-bound TSs. We detail here an alternative strategy for the in vivo expression and biochemical characterization of the membrane associated UbiA TSs by employing a precursor overproduction system in Escherichia coli.

Coral terpenes are important molecules with numerous applications. Here, we describe a robust and simple method to produce coral terpene scaffolds at scale. As an example of the approach, here we discover, express, and characterize further klysimplexin R synthases, expanding the known enzymology of soft coral terpene cyclases. We hope that the underlying method described will enable widespread basic research into the functions of coral terpenes and their biosynthetic genes, as well as the commercial development of biomedically and technologically important molecules.

OBJECTIVE: We aimed to quantify the individual risk of antimicrobial resistance among patients with community-acquired Escherichia coli urinary tract infection (UTI) according to their antibiotic exposure over the previous 18 months.
METHODS: French patients were prospectively recruited in two centers in 2015-2017. Resistance of isolates to amoxicillin (AMX), amoxicillin-clavulanate (AMC), third-generation cephalosporins (3GC), trimethoprim-sulfamethoxazole (TMP-SMX), fluoroquinolones (FQ) and fosfomycin (FOS) was analysed according to previous intra-class and inter-class antibiotic exposure documented in health insurance files.
RESULTS: Previous antibiotic exposure was found in 588 (81.4 %) of the 722 UTI cases analysed (564 patients). Recent exposure (three months before UTI) was associated with stronger intra-class impact on E. coli resistance compared to remote exposure (18 months before UTI) for AMX, AMC, FQ and TMP-SMX, with respective adjusted odds ratios [95 % confidence interval] of 1.63 [1.20-2.21], 1.59 [1.02-2.48], 3.01 [1.90-4.77], and 2.60 [1.75-3.87]. AMX, FQ, and TMP-SMX also showed significant inter-class impact. Resistance to 3GC was not significantly associated with intraclass exposure (adjusted OR: 0.88 [0.41-1.90]). FOS resistance was remarkably low (0.4 %). Duration of the antibiotic-free period required for resistance risk to drop below 10 %, the threshold for empirical use in UTI, was modelled as < 1 month for 3GC, >18 months for AMX and TMP-SMX and uncertain for AMC (5.2 months [2.3 to > 18]) and FQ (17.4 months [7.4 to > 18]).
CONCLUSIONS: Resistance of E. coli causing UTI is partially predicted by previous personal antibiotic delivery.

Vitamin B5 [D-pantothenic acid (D-PA)] is an essential water-soluble vitamin that is widely used in the food and feed industries. Currently, the relatively low fermentation efficiency limits the industrial application of D-PA. Here, a plasmid-free D-PA hyperproducer was constructed using systematic metabolic engineering strategies. First, pyruvate was enriched by deleting the non-phosphotransferase system, inhibiting pyruvate competitive branches, and dynamically controlling the TCA cycle. Next, the (R)-pantoate pathway was enhanced by screening the rate-limiting enzyme PanBC and regulating the other enzymes of this pathway one by one. Then, to enhance NADPH sustainability, NADPH regeneration was achieved through the novel \"PEACES\" system by (1) expressing the NAD+ kinase gene ppnk from Clostridium glutamicum and the NADP+-dependent gapCcae from Clostridium acetobutyricum and (2) knocking-out the endogenous sthA gene, which interacts with ilvC and panE in the D-PA biosynthesis pathway. Combined with transcriptome analysis, it was found that the membrane proteins OmpC and TolR promoted D-PA efflux by increasing membrane fluidity. Strain PA132 produced a D-PA titer of 83.26 g/L by two-stage fed-batch fermentation, which is the highest D-PA titer reported so far. This work established competitive producers for the industrial production of D-PA and provided an effective strategy for the production of related products.

Postweaning diarrhea (PWD) is a multifactorial disease caused by different aetiological agents, like viruses or bacteria and where the role of the microbiota remains unclear. The aim of this study was to assess differences between healthy and diarrheic weaned pigs concerning the prevalence of pathogens and changes in the intestinal microbiota. Eighteen farms with PWD were selected and 277 fecal samples were collected (152 diarrheic vs 125 healthy). Presence of Rotavirus A (RVA), B (RVB), C (RVC) and Porcine Epidemic Diarrhea Virus (PEDV), virulence factors of Escherichia coli and Clostridioides difficile were analyzed by PCR. Finally, the microbiota composition was also study by 16 S rRNA sequencing on 148 samples (102 diarrheic vs 46 healthy). RVA (53.95 % vs 36 %, p=0.04) and RVB (49.67 % vs 28.8 %, p<0.001) were more frequent in diarrheic animals. Furthermore, RVA viral load was higher in diseased animals. VT2 toxin was significantly associated with diarrhea, whereas other virulence factors were not. Presence of C. difficile and PEDV was almost negligible. Regarding microbiota changes, Fusobacteriota phylum was more frequent in diarrheic samples and Ruminococcaceae family in healthy penmates. During the first week postweaning, Enterobacteriace and Campylobacteria were enriched in animals presenting diarrhea. Furthermore, Lactobacillus was detected in those individuals with no RVA infection. In conclusion, RVA seems to play a primary role in PWD. Classic E. coli virulence factors were not associated with diarrhea, indicating the need for revising their implication in disease. Moreover, Lactobacillus was found frequently in animals negative for RVA, suggesting some protective effect.

BACKGROUND: Exploring metabolic changes within host E. coli through an untargeted metabolomic study of T7L variants overexpression to optimize engineered endolysins for clinical/therapeutic use.
OBJECTIVE: This study aims to assess the impact of overexpressing T7L variants on the metabolic profiles of E. coli. The two variants considered include T7L-H37A, which has enhanced lytic activity compared to its wild-type protein, and T7L-H48K, a dead mutant with no significant activity.
METHODS: 1H NMR-based metabolomics was employed to compare the metabolic profiles of E. coli cells overexpressing T7L wild-type protein and its variants.
RESULTS: Overexpression of the T7L wild-type (T7L-WT) protein and its variants (T7L-H48K and T7L-H37A) was compared to RNAP overexpression in E. coli cells using 1H NMR-based metabolomics, analyzing a total of 75 annotated metabolites, including organic acids, amino acids, sugars, and nucleic acids. The results showed distinct clustering patterns for the two T7L variant groups compared with the WT, in which the dead mutant (H48K) group showed clustering close to that of RNAP. Pathway impact analysis revealed different effects of T7L variants on E. coli metabolic profiles, with T7L-H48K showing minimal alterations in energy and amino acid pathways linked to osmotic stress compared to noticeable alterations in these pathways for both T7L-H37A and T7L-WT.
CONCLUSIONS: This study uncovered distinct metabolic fingerprints when comparing the overexpression of active and inactive mutants of T7L lytic enzymes in E. coli cells. These findings could contribute to the optimization and enhancement of suitable endolysins as potential alternatives to antibiotics.

Microbial source tracking leverages a wide range of approaches designed to trace the origins of fecal contamination in aquatic environments. Although source tracking methods are typically employed within the laboratory setting, computational techniques can be leveraged to advance microbial source tracking methodology. Herein, we present a logic regression-based supervised learning approach for the discovery of source-informative genetic markers within intergenic regions across the Escherichia coli genome that can be used for source tracking. With just single intergenic loci, logic regression was able to identify highly source-specific (i.e., exceeding 97.00%) biomarkers for a wide range of host and niche sources, with sensitivities reaching as high as 30.00%-50.00% for certain source categories, including pig, sheep, mouse, and wastewater, depending on the specific intergenic locus analyzed. Restricting the source range to reflect the most prominent zoonotic sources of E. coli transmission (i.e., bovine, chicken, human, and pig) allowed for the generation of informative biomarkers for all host categories, with specificities of at least 90.00% and sensitivities between 12.50% and 70.00%, using the sequence data from key intergenic regions, including emrKY-evgAS, ibsB-(mdtABCD-baeSR), ompC-rcsDB, and yedS-yedR, that appear to be involved in antibiotic resistance. Remarkably, we were able to use this approach to classify 48 out of 113 river water E. coli isolates collected in Northwestern Sweden as either beaver, human, or reindeer in origin with a high degree of consensus-thus highlighting the potential of logic regression modeling as a novel approach for augmenting current source tracking efforts.IMPORTANCEThe presence of microbial contaminants, particularly from fecal sources, within water poses a serious risk to public health. The health and economic burden of waterborne pathogens can be substantial-as such, the ability to detect and identify the sources of fecal contamination in environmental waters is crucial for the control of waterborne diseases. This can be accomplished through microbial source tracking, which involves the use of various laboratory techniques to trace the origins of microbial pollution in the environment. Building on current source tracking methodology, we describe a novel workflow that uses logic regression, a supervised machine learning method, to discover genetic markers in Escherichia coli, a common fecal indicator bacterium, that can be used for source tracking efforts. Importantly, our research provides an example of how the rise in prominence of machine learning algorithms can be applied to improve upon current microbial source tracking methodology.