Comprehensive genomic review of the genus Salinisphaera with the proposal of two new subspecies.

Phylogenomics and molecular marker-based analyses of the order Nevskiales: proposal for the creation of Steroidobacterales ord. nov. and Peristeroidobacter gen. nov

Species from the genus Paenibacillus are widely studied due to their biotechnological relevance. Dozens of novel species descriptions of this genus were published in the last couple of years, but few utilized genomic data as classification criteria. Here, we demonstrate the importance of using genome-based metrics and phylogenetic analyses to identify and classify Paenibacillus strains. For this purpose, Paenibacillus riograndensis SBR5T, Paenibacillus sonchi X19-5T, and their close relatives were compared through phenotypic, genotypic, and genomic approaches. With respect to P. sonchi X19-5T, P. riograndensis SBR5T, Paenibacillus sp. CAR114, and Paenibacillus sp. CAS34 presented ANI (average nucleotide identity) values ranging from 95.61 to 96.32%, gANI (whole-genome average nucleotide identity) values ranging from 96.78 to 97.31%, and dDDH (digital DNA–DNA hybridization) values ranging from 68.2 to 73.2%. Phylogenetic analyses of 16S rRNA, gyrB, recA, recN, and rpoB genes and concatenated proteins supported the monophyletic origin of these Paenibacillus strains. Therefore, we propose to assign Paenibacillus sp. CAR114 and Paenibacillus sp. CAS34 to P. sonchi species, and reclassify P. riograndensis SBR5T as a later heterotypic synonym of P. sonchi (type strain X19-5T), with the creation of three novel genomovars, P. sonchi genomovar Sonchi (type strain X19-5T), P. sonchi genomovar Riograndensis (type strain SBR5T), P. sonchi genomovar Oryzarum (type strain CAS34T = DSM 102041T; = BR10511T).

MotivationCarbohydrate Active enzyme (CAZyme) families, encoded by human gut microflora, play a crucial role in breakdown of complex dietary carbohydrates into components that can be absorbed by our intestinal epithelium. Since nutritional wellbeing of an individual is dependent on the nutrient harvesting capability of the gut microbiome, it is important to understand how CAZyme repertoire in the gut is influenced by factors like age, geography and food habits.ResultsThis study reports a comprehensive in-silico analysis of CAZyme profiles in the gut microbiomes of 448 individuals belonging to different geographies, using similarity searches of the corresponding gut metagenomic contigs against the carbohydrate active enzymes database. The study identifies a core group of 89 CAZyme families that are present across 85% of the gut microbiomes. The study detects several geography/age-specific trends in gut CAZyme repertoires of the individuals. Notably, a group of CAZymes having a positive correlation with BMI has been identified. Further this group of BMI-associated CAZymes is observed to be specifically abundant in the Firmicutes phyla. One of the major findings from this study is identification of three distinct groups of individuals, referred to as 'CAZotypes', having similar CAZyme profiles. Distinct taxonomic drivers for these CAZotypes as well as the probable dietary basis for such trends have also been elucidated. The results of this study provide a global view of CAZyme profiles across individuals of various geographies and age-groups. These results re-iterate the need of a more precise understanding of the role of carbohydrate active enzymes in human nutrition.

One Year of Gluten-Free Diet Impacts Gut Function and Microbiome in Celiac Disease.

Infections caused by filamentous fungi have become a health concern, and require rapid and accurate identification in order for effective treatment of the pathogens. To compare the performance of two MALDI-TOF MS systems (Bruker Microflex LT and Xiamen Microtyper) in the identification of filamentous fungal species. A total of 374 clinical filamentous fungal isolates sequentially collected in the Clinical Laboratory at the Beijing Tongren Hospital between January 2014 and December 2015 were identified by traditional phenotypic methods, Bruker Microflex LT and Xiamen Microtyper MALDI-TOF MS, respectively. The discrepancy between these methods was resolved by sequencing for definitive identification. Bruker Microflex LT and Xiamen Microtyper had similar correct species ID (98.9 vs. 99.2%), genus ID (99.7 vs. 100%), mis-ID (0.3 vs. 0%) and no ID (0 vs. 0). The rate of correct species identification by both MALDI-TOF MS (98.9 and 99.2%, respectively) was much higher compared with phenotypic approach (91.9%). Both MALDI-TOF MS systems provide accurate identification of clinical filamentous fungi compared with conventional phenotypic method, and have the potential to replace identification for routine identification of these fungi in clinical mycology laboratories. Both systems have similar performance in the identification of clinical filamentous fungi.

Inter-individual variability in the microbial gene complement encoding for carbohydrate-active enzymes (CAZymes) can profoundly regulate how the host interacts with diverse carbohydrate sources thereby influencing host health. CAZy-typing, characterizing the microbiota-associated CAZyme-coding genes within a host individual, can be a useful tool to predict carbohydrate pools that the host can metabolize, or identify which CAZyme families are underrepresented requiring supplementation via microbiota transplantation or probiotics. CAZy-typing, moreover, provides a novel framework to search for disease biomarkers. As a proof of concept, we used publicly available metagenomes (935) representing 310 type strain bacterial genomes to establish the link between disease status and CAZymes in the oral and gut microbial ecosystem. The abundance and distribution of 220 recovered CAZyme families in saliva and stool samples from patients with colorectal cancer, rheumatoid arthritis, and type 1 diabetes were compared with healthy subjects. Based on the multivariate discriminant analysis, the disease phenotype did not alter the CAZyme profile suggesting a functional conservation in carbohydrate metabolism in a disease state. When disease and healthy CAZyme profiles were contrasted in differential analysis, CAZyme markers that were underrepresented in type 1 diabetes (15), colorectal cancer (12), and rheumatoid arthritis (5) were identified. Of interest, are the glycosyltransferase which can catalyze the synthesis of glycoconjugates including lipopolysaccharides with the potential to trigger inflammation, a common feature in many diseases. Our analysis has also confirmed the expansive carbohydrate metabolism in the gut as evidenced by the overrepresentation of CAZyme families in the gut compared to the oral site. Nevertheless, each site exhibited specific CAZyme markers. Taken together, our analysis provides an insight into the CAZyme landscape in health and disease and has demonstrated the diversity in carbohydrate metabolism in host-microbiota which can be a sound basis for optimizing the selection of pre, pro, and syn-biotic candidate products.

The moose (Alces alces) is a ruminant that harvests energy from fiber-rich lignocellulose material through carbohydrate-active enzymes (CAZymes) produced by its rumen microbes. We applied shotgun metagenomics to rumen contents from six moose to obtain insights into this microbiome. Following binning, 99 metagenome-assembled genomes (MAGs) belonging to 11 prokaryotic phyla were reconstructed and characterized based on phylogeny and CAZyme profile. The taxonomy of these MAGs reflected the overall composition of the metagenome, with dominance of the phyla Bacteroidetes and Firmicutes. Unlike in other ruminants, Spirochaetes constituted a significant proportion of the community and our analyses indicate that the corresponding strains are primarily pectin digesters. Pectin-degrading genes were also common in MAGs of Ruminococcus, Fibrobacteres and Bacteroidetes and were overall overrepresented in the moose microbiome compared with other ruminants. Phylogenomic analyses revealed several clades within the Bacteriodetes without previously characterized genomes. Several of these MAGs encoded a large numbers of dockerins, a module usually associated with cellulosomes. The Bacteroidetes dockerins were often linked to CAZymes and sometimes encoded inside polysaccharide utilization loci, which has never been reported before. The almost 100 CAZyme-annotated genomes reconstructed in this study provide an in-depth view of an efficient lignocellulose-degrading microbiome and prospects for developing enzyme technology for biorefineries.

Candida species are a dominant constituent of the human mycobiome and associated with the development of several diseases. Understanding the Candida species metabolism could provide key insights into their ability to cause pathogenesis. Here, we have developed the BioFung database, providing an efficient annotation of protein-encoding genes. Along, with BioFung, using carbohydrate-active enzyme (CAZymes) analysis, we have uncovered core and accessory features across Candida species demonstrating plasticity, adaption to the environment and acquired features. We show a greater importance of amino acid metabolism, as functional analysis revealed that all Candida species can employ amino acid metabolism. However, metabolomics revealed that only a specific cluster of species (AGAu species—C. albicans, C. glabrata and C. auris) utilised amino acid metabolism including arginine, cysteine, and methionine metabolism potentially improving their competitive fitness in pathogenesis. We further identified critical metabolic pathways in the AGAu cluster with biomarkers and anti-fungal target potential in the CAZyme profile, polyamine, choline and fatty acid biosynthesis pathways. This study, combining genomic analysis, and validation with gene expression and metabolomics, highlights the metabolic diversity with AGAu species that underlies their remarkable ability to dominate they mycobiome and cause disease.

Gut Microbiome Genes Involved in Plant and Mucin Breakdown Correlate with Diet and Gastrointestinal Inflammation in Healthy United States Adults.

Semi-arid and arid areas occupy about 33% of terrestrial ecosystems. However, little information is available about microbial diversity in the semi-arid Caatinga, which represents a unique biome that extends to about 11% of the Brazilian territory and is home to extraordinary diversity and high endemism level of species. In this study, we characterized the diversity of microbial genes associated with biomass conversion (carbohydrate-active enzymes, or so-called CAZYmes) in soil and freshwater of the Caatinga. Our results showed distinct CAZYme profiles in the soil and freshwater samples. Glycoside hydrolases and glycosyltransferases were the most abundant CAZYme families, with glycoside hydrolases more dominant in soil (∼44%) and glycosyltransferases more abundant in freshwater (∼50%). The abundances of individual glycoside hydrolase, glycosyltransferase, and carbohydrate-binding module subfamilies varied widely between soil and water samples. A predominance of glycoside hydrolases was observed in soil, and a higher contribution of enzymes involved in carbohydrate biosynthesis was observed in freshwater. The main taxa associated with the CAZYme sequences were Planctomycetia (relative abundance in soil, 29%) and Alphaproteobacteria (relative abundance in freshwater, 27%). Approximately 5-7% of CAZYme sequences showed low similarity with sequences deposited in non-redundant databases, suggesting putative homologues. Our findings represent a first attempt to describe specific microbial CAZYme profiles for environmental samples. Characterizing these enzyme groups associated with the conversion of carbohydrates in nature will improve our understanding of the significant roles of enzymes in the carbon cycle. We identified a CAZYme signature that can be used to discriminate between soil and freshwater samples, and this signature may be related to the microbial species adapted to the habitat. The data show the potential ecological roles of the CAZYme repertoire and associated biotechnological applications.

Five bacterial strains, designated as RCAD1438, RCAD1439T, RCAD1670, RCAD1671 and RCAD1672, were isolated from the upper respiratory tract of ducks in Anhui, Shaanxi and Sichuan, China. All strains are Gram-stain-negative, rod-shaped, non-motile, non-spore-forming, aerobic and capsulated. They grow optimally at 37 °C and pH 7.5 and are positive for oxidase and catalase activities. High 16S rRNA gene sequence similarity (>99%) and average nucleotide identity (ANI) values (>96%) confirm that the five strains belong to the same species. Phylogenetic analysis based on 16S rRNA gene sequences indicates that these strains belong to the genus Bergeyella and are closely related to Bergeyella porcorum CECT 9006T (96.7 %-97.1%) and Bergeyella zoohelcum NBRC 16014T (96.7 %-97.0%). However, ANI and digital DNA-DNA hybridization values between strain RCAD1439T and these two type strains, as well as other closely related strains, were no more than 72.0% and 35.0%, respectively, both below the accepted species thresholds. The genomic size of the five strains is 2.4-2.6 Mb, with genomic DNA G+C content of 42.1-42.9 mol%. The major respiratory quinone of strain RCAD1439T was menaquinone MK-6, and its polar lipid profile includes phosphatidylethanolamine, two unidentified aminolipids, one unidentified aminolipid and six unidentified lipids. Based on physiological, genotypic, phylogenetic and chemotaxonomic data, these five strains represent a novel species of Bergeyella, for which the name Bergeyella anatis sp. nov. is proposed. The type strain is RCAD1439T (=CCTCC AB 2024048T=GDMCC 1.4426T=KCTC 102274T).

Results of previous multilocus sequence and whole-genome-based analyses have suggested that a homogeneous group of isolates belonging to the genus Tenacibaculum, represented by strain TNO020T and associated with skin ulcer development in sea-farmed fish, represents an as-yet-undescribed species. Comparative whole-genome analysis performed in the present study clustered five isolates, including TNO020T, in a distinct lineage within the genus Tenacibaculum. Phenotypic differences, high intra-cluster average nucleotide identity (ANI) values and low ANI values with other Tenacibaculum species support the proposal of a novel species, for which we propose the name Tenacibaculum piscium sp. nov. with strain TNO020T (=CCUG 73833T=NCIMB 15240T) as the type strain. Further, large-scale genome analyses confirmed the existence of two different phylogenetic lineages within 'T. finnmarkense', a species effectively but not validly published previously. ANI values just above the species delineation threshold of 95-96 % confirmed that both lineages belong to the same species. This result was also supported by DNA-DNA hybridization values. Phenotypically, the two conspecific lineages are distinguishable by differences in growth temperature range and ability to degrade l-proline. For the group of isolates already commonly known as 'T. finnmarkense', we propose the name Tenacibaculum finnmarkense sp. nov., with strain TNO006T (=CCUG 73831T=NCIMB 15238T) as the type strain. We further propose the subdivision of T. finnmarkense sp. nov. into two genomovars, T. finnmarkense genomovar finnmarkense with strain TNO006T (=CCUG 73831T=NCIMB 15238T) as the type strain and T. finnmarkense genomovar ulcerans with strain TNO010T (=CCUG 73832T=NCIMB 15239T) as the type strain.

Novel FAD-dependent uricase produced by food-sourced Priestia megaterium and activity assessment using hyperuricemia Caenorhabditis elegans.

Metallo-β-lactamases (MBLs)-producing Enterobacterales infections represent a serious threat in clinical practice due to high mortality rates associated and the limited therapeutic options available. Given their increased dissemination across Europe and their involvement in hospital outbreaks, further epidemiological investigations are required. Here, we provide a comprehensive characterization, by integrating clinical, genomic, and phenotypic data, of 22 MBL-carrying Enterobacterales strains (17 Klebsiella pneumoniae and 5 Escherichia coli), isolated from critically ill patients admitted to IRCCS ISMETT from 2021 to 2024. Bacterial antimicrobial susceptibility was evaluated using phenotypic methods. Using a whole-genome sequencing approach, we identified the sequence types (STs) and depicted the resistome and virulome content. This study revealed the circulation of alarming MBL-producing strains in our hospital, with New Delhi MBL (82%), followed by Verona integron-encoded MBL (VIM) (18%). Beyond carbapenem resistance, these strains exhibited high resistance rates to crucial antibiotics, including amikacin (63%), in addition to reduced susceptibility to cefiderocol (50%). Moreover, the emergence of VIM-1 K. pneumoniae isolates resistant to colistin was observed. Genomic analysis revealed the presence of high-risk clones such as K. pneumoniae ST147 and ST512 and E. coli ST648, necessitating vigilant monitoring. The resistome analysis showed widespread co-occurrence of several resistance genes, contributing to the multidrug-resistant (MDR) phenotype. The convergence of resistance and virulence characteristics highlights the urgent need for integrated genomic surveillance and improved measures to control the spread of hypervirulent MDR bacteria.IMPORTANCEThe increasing prevalence of metallo-β-lactamase-producing Enterobacterales is a significant healthcare concern. Traditional phenotypic methods, commonly employed in diagnostic labs, are essential for the resistance marker detection and antimicrobial susceptibility testing. Instead, bacterial genetic features, including additional resistance genes and virulence determinants that have significant clinical implications, remain neglected. To overcome this critical gap, an integrated approach, consisting of phenotypic and genomic analyses, is crucial for gaining essential insights that guide both comprehensive patient management and effective epidemiological surveillance. Our findings highlight the importance of antimicrobial stewardship, antimicrobial susceptibility testing, and control measures to limit the spread of high-risk multidrug-resistant bacteria.

A mesophilic, straight-rod-shaped, non-flagellated bacterium, designated MEBiC05444T, was isolated from a marine sponge collected from Chuuk lagoon, Federated States of Micronesia. The strain was Gram-negative, catalase- and oxidase-positive, and facultative anaerobic. The isolate aerobically grew at 8-38 °C (optimum, 24-32 °C), pH 4.0-10.0 (pH 7.0-7.5) with an absolute requirement for Na+ up to 6 % (w/v) NaCl (2 %). Phylogenetic analyses based on 16S rRNA gene sequences revealed that MEBiC05444T belonged to the family Shewanellaceae, within the class Gammaproteobacteria. Strain MEBiC05444T showed highest 16S rRNA gene sequence similarity to Parashewanella curva C51T, followed by [Shewanella] irciniae UST040317-058T and Parashewanella spongiae HJ039T (98.9 %, 97.2 and 95.7 %, respectively). In the phylogenetic tree based on the 16S rRNA gene sequences, MEBiC05444T formed a cluster with P. curva C51T, but the average nucleotide identity value between the two strains was 82 %, thus confirming their separation at species level. The major fatty acids were iso-C15 : 0 (19.7 %), summed feature 3 (composed of C16 : 1 ω7c and/or C16 : 1ω6c; 16.1 %) and C17 : 1ω8c (10.2 %). The only detected respiratory quinone was ubiquinone Q-8. The major polar lipids were phosphatidylethanolamine, phosphatidylglycerol, diphosphatidylglycerol, three unidentified aminoglycolipids, two unidentified glycolipids, an unidentified aminoglycophospholipid and an unidentified lipid. The genomic DNA G+C content of strain MEBiC05444T was 40.8 mol%. Based on the results of polyphasic analysis, the strain represents a novel species of the genus Parashewanella, distinct from P. curva C51T, [Shewanella]irciniae UST040317-058T and P. spongiae HJ039T for which the name Parashewanellatropica sp. nov. is proposed with type strain MEBiC05444T (=KCCM 43304T=JCM 16653T).