Recovery of 52 bacterial genomes from the fecal microbiome of the domestic cat (Felis catus) using Hi-C proximity ligation and shotgun metagenomics. - Related Documents




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518701.0000Recovery of 52 bacterial genomes from the fecal microbiome of the domestic cat (Felis catus) using Hi-C proximity ligation and shotgun metagenomics. We used Hi-C proximity ligation with shotgun sequencing to retrieve metagenome-assembled genomes (MAGs) from the fecal microbiomes of two domestic cats (Felis catus). The genomes were assessed for completeness and contamination, classified taxonomically, and annotated for putative antimicrobial resistance (AMR) genes.202337695121
311710.9992Detection of antimicrobial resistance genes in urban air. To understand antibiotic resistance in pathogenic bacteria, we need to monitor environmental microbes as reservoirs of antimicrobial resistance genes (ARGs). These bacteria are present in the air and can be investigated with the whole metagenome shotgun sequencing approach. This study aimed to investigate the feasibility of a method for metagenomic analysis of microbial composition and ARGs in the outdoor air. Air samples were collected with a Harvard impactor in the PM(10) range at 50 m from a hospital in Budapest. From the DNA yielded from samples of PM(10) fraction single-end reads were generated with an Ion Torrent sequencer. During the metagenomic analysis, reads were classified taxonomically. The core bacteriome was defined. Reads were assembled to contigs and the ARG content was analyzed. The dominant genera in the core bacteriome were Bacillus, Acinetobacter, Leclercia and Paenibacillus. Among the identified ARGs best hits were vanRA, Bla1, mphL, Escherichia coli EF-Tu mutants conferring resistance to pulvomycin; BcI, FosB, and mphM. Despite the low DNA content of the samples of PM(10) fraction, the number of detected airborne ARGs was surprisingly high.202134964297
453820.9990Tracking Reservoirs of Antimicrobial Resistance Genes in a Complex Microbial Community Using Metagenomic Hi-C: The Case of Bovine Digital Dermatitis. Bovine digital dermatitis (DD) is a contagious infectious cause of lameness in cattle with unknown definitive etiologies. Many of the bacterial species detected in metagenomic analyses of DD lesions are difficult to culture, and their antimicrobial resistance status is largely unknown. Recently, a novel proximity ligation-guided metagenomic approach (Hi-C ProxiMeta) has been used to identify bacterial reservoirs of antimicrobial resistance genes (ARGs) directly from microbial communities, without the need to culture individual bacteria. The objective of this study was to track tetracycline resistance determinants in bacteria involved in DD pathogenesis using Hi-C. A pooled sample of macerated tissues from clinical DD lesions was used for this purpose. Metagenome deconvolution using ProxiMeta resulted in the creation of 40 metagenome-assembled genomes with ≥80% complete genomes, classified into five phyla. Further, 1959 tetracycline resistance genes and ARGs conferring resistance to aminoglycoside, beta-lactams, sulfonamide, phenicol, lincosamide, and erythromycin were identified along with their bacterial hosts. In conclusion, the widespread distribution of genes conferring resistance against tetracycline and other antimicrobials in bacteria of DD lesions is reported for the first time. Use of proximity ligation to identify microorganisms hosting specific ARGs holds promise for tracking ARGs transmission in complex microbial communities.202133672258
453930.9989Dataset of 569 metagenome-assembled genomes from the caeca of multiple chicken breeds from commercial and backyard farming setups of Pakistan. This article focuses the recovery of prokaryotic organisms including bacteria and archaea from 9 different groups of chicken raised in different farm setups in Pakistan. The groups comprise of three different breeds (Broilers, White Layers, and Black Australorp) of chicken raised in different farming setups that include antibiotic-free control, commercial (open and controlled shed), and backyard farms. We have recovered 569 Metagenomics-Assembled Genomes (MAGs) with a completeness of ≥50 % and contamination of ≤10 %. For each MAG, functional annotations were obtained that include KEGG modules, carbohydrate active enzymes (CAZymes), peptidases, geochemical cycles, antibiotic resistance genes, stress genes, and virulence genes. Furthermore, two different sets of Single Copy Genes (SCGs) were used to construct the phylogenetic trees. Based on the reconstructed phylogeny, phylogenetic gain of each MAG is calculated to give an account of novelty.202438882194
326140.9989A global metagenomic map of urban microbiomes and antimicrobial resistance. We present a global atlas of 4,728 metagenomic samples from mass-transit systems in 60 cities over 3 years, representing the first systematic, worldwide catalog of the urban microbial ecosystem. This atlas provides an annotated, geospatial profile of microbial strains, functional characteristics, antimicrobial resistance (AMR) markers, and genetic elements, including 10,928 viruses, 1,302 bacteria, 2 archaea, and 838,532 CRISPR arrays not found in reference databases. We identified 4,246 known species of urban microorganisms and a consistent set of 31 species found in 97% of samples that were distinct from human commensal organisms. Profiles of AMR genes varied widely in type and density across cities. Cities showed distinct microbial taxonomic signatures that were driven by climate and geographic differences. These results constitute a high-resolution global metagenomic atlas that enables discovery of organisms and genes, highlights potential public health and forensic applications, and provides a culture-independent view of AMR burden in cities.202134043940
455550.9989Characterization of known and novel clinically important antibiotic resistance genes and novel microbes from wastewater-impacted high Arctic fjord sediments. Arctic microbiota is enigmatic and highly underexplored. With the aim of understanding the resistome and microbiota of high-Arctic fjord sediments and the effect of wastewater discharge on sediment microbiota, we analyzed sediments from Advent fjord in Svalbard using metagenomics. We show the presence of 888 clinically relevant antibiotic resistance genes including genes coding resistance against last-resort antibiotics such as carbapenems, colistin, vancomycin, linezolid and tigecycline in the sediment microbiota. Using computational models, 478 novel β-lactamases belonging to 217 novel β-lactamase families were revealed in the sediment microbiota. Further, we identified hosts for 69 novel families and showed that these genes are widespread in the Arctic environment. We assembled 644 metagenome-assembled genomes (MAGs) from sediment metagenomes. Of these >97 % belonged to novel taxa with 89 bacterial MAGs representing seven putative novel phyla. These MAGs encoded important functions like nutrient cycling and methane metabolism etc. Our study demonstrated mixing of human associated bacteria and Arctic sediment microbiota. It provides the first comprehensive dataset of the distribution and diversity of novel microbes and β-lactamases in the wastewater-impacted high Arctic fjord sediments.202540424901
512760.9988ResFinderFG v2.0: a database of antibiotic resistance genes obtained by functional metagenomics. Metagenomics can be used to monitor the spread of antibiotic resistance genes (ARGs). ARGs found in databases such as ResFinder and CARD primarily originate from culturable and pathogenic bacteria, while ARGs from non-culturable and non-pathogenic bacteria remain understudied. Functional metagenomics is based on phenotypic gene selection and can identify ARGs from non-culturable bacteria with a potentially low identity shared with known ARGs. In 2016, the ResFinderFG v1.0 database was created to collect ARGs from functional metagenomics studies. Here, we present the second version of the database, ResFinderFG v2.0, which is available on the Center of Genomic Epidemiology web server (https://cge.food.dtu.dk/services/ResFinderFG/). It comprises 3913 ARGs identified by functional metagenomics from 50 carefully curated datasets. We assessed its potential to detect ARGs in comparison to other popular databases in gut, soil and water (marine + freshwater) Global Microbial Gene Catalogues (https://gmgc.embl.de). ResFinderFG v2.0 allowed for the detection of ARGs that were not detected using other databases. These included ARGs conferring resistance to beta-lactams, cycline, phenicol, glycopeptide/cycloserine and trimethoprim/sulfonamide. Thus, ResFinderFG v2.0 can be used to identify ARGs differing from those found in conventional databases and therefore improve the description of resistomes.202337207327
445770.9988Using genomics to explore the epidemiology of vancomycin resistance in a sewage system. VanHAX-mediated glycopeptide resistance has been consistently high in one of the three main sewer systems in Copenhagen, Lynetten, for +20 years. To explore this for other glycopeptide resistance genes, and whether the colonization has resulted in establishment of multiple bacterial taxa, we mapped 505 shotgun metagenomic data sets from the inlet of three sewage treatment plants to 831 different glycopeptide resistance genes. Only vanHAX and vanHBX genes were differentially abundant in Lynetten. Analyses of eight contigs suggested limited variations in the flanking regions. Proximity ligation metagenomic analysis of 12 samples from Lynetten identified 441 and 5 paired reads mapping to vanHAX and vanHBX, respectively. The other end of these reads was mapped to generated metagenomic-assembled genomes and NCBI using BLAST. vanHBX could only be linked to the phylum level (Bacillota). Plasmid analysis of vanHBX Hi-C contigs showed that these were mainly located on plasmids reported found in enterococci species. Most vanHAX-linked reads could only be linked to phylum and class level, but some reads were assigned to Enterococcus faecium (7 reads), Enterococcus faecalis (4 reads), Paenibacillus apiarius (2 reads), and Paenibacillus thiaminolyticus (27 reads). Ten of the 20 Hi-C contigs-containing vanHAX were annotated as plasmid, all reported found in Enterococcus species. This study shows that while Hi-C technology is valuable for linking antimicrobial resistance genes to bacterial taxa, it suffers from challenges in reliably mapping the linked read to a genomic region with sufficient taxonomic information. Our results also suggest that over the +20 years of colonizing a sewer system, vanHAX has not become widespread across multiple taxa, remaining primarily in E. faecalis and E. faecium, with the exception of Paenibacillus.IMPORTANCELong-term colonization of microbial communities with antimicrobial-resistant bacteria is expected to result in sharing of the resistance genes between several different bacterial taxa of the communities. We investigated microbiomes from a sewer, which have been colonized with glycopeptide-resistant bacteria harboring the mobile vanHAX gene cluster for a minimum of 20 years, using metagenomics sequencing and Hi-C. We found that despite the long-term presence in the sewer, the vanHAX genes have seemingly not disseminated widely.202539656004
312380.9988The Raw Milk Microbiota from Semi-Subsistence Farms Characteristics by NGS Analysis Method. The aim of this study was to analyze the microbiome of raw milk obtained from three semi-subsistence farms (A, B, and C) located in the Kuyavian-Pomeranian Voivodeship in Poland. The composition of drinking milk was assessed on the basis of 16S rRNA gene sequencing using the Ion Torrent platform. Based on the conducted research, significant changes in the composition of the milk microbiome were found depending on its place of origin. Bacteria belonging to the Bacillus (17.0%), Corynebacterium (12.0%) and Escherichia-Shigella (11.0%) genera were dominant in the milk collected from farm A. In the case of the milk from farm B, the dominant bacteria belonged to the Acinetobacter genus (21.0%), whereas in the sample from farm C, Escherichia-Shigella (24.8%) and Bacillus (10.3%) dominated the microbiome. An analysis was performed using the PICRUSt tool (Phylogenetic Investigation of Communities by Reconstruction of Unobserved States) in order to generate a profile of genes responsible for bacterial metabolism. The conducted analysis confirmed the diversity of the profile of genes responsible for bacterial metabolism in all the tested samples. On the other hand, simultaneous analysis of six KEGG Orthologs (KO), which participated in beta-lactam resistance responsible for antibiotic resistance of bacteria, demonstrated that there is no significant relationship between the predicted occurrence of these orthologs and the place of existence of microorganisms. Therefore, it can be supposed that bacterial resistance to beta-lactam antibiotics occurs regardless of the environmental niche, and that the antibiotic resistance maintained in the population is a factor that shapes the functional structure of the microbial consortia.202134443615
311690.9988Prediction of Antibiotic Resistance Genes in Cyanobacterial Strains by Whole Genome Sequencing. Cyanobacteria are ubiquitous in freshwater environments, but their role in aquatic resistome remains unclear. In this work, we performed whole genome sequencing on 43 cyanobacterial strains isolated from Portuguese fresh/wastewaters. From 43 available non-axenic unicyanoabacterial cultures (containing only one cyanobacterial strain and their co-occurring bacteria), it was possible to recover 41 cyanobacterial genomes from the genomic assemblies using a genome binning software, 26 of which were classified as high-quality based on completeness, contamination, N50 and contig number thresholds. By using the comprehensive antibiotic resistance database (CARD) on the assembled samples, we detected four antibiotic resistance gene (ARG) variants, conferring resistance in pathogenic bacteria to tetracyclines, fluoroquinolones (adeF-type) and macrolides (ermF-type, mefC-type and mphG-type). Among these, adeF-type was the most prevalent gene, found across 11 cyanobacterial genomes from the Nostocales order. Planktothrix presented the highest variety of close ARG matches, with hits for the macrolide resistance genes ermF-type, mefC-type and mphG-type. An analysis of the genomic assemblies also revealed an additional 12 ARGs in bacteria from the phyla Firmicutes, Proteobacteria and Bacteroidetes, present in the cyanobacterial cultures, foreseeing the horizontal gene transfer of ARGs with cyanobacteria. Additionally, more than 200 partial ARGs were detected on each recovered cyanobacterial genome, allowing for future studies of antibiotic resistance genotype/phenotype in cyanobacteria. These findings highlight the importance of further efforts to understand the role of cyanobacteria on the aquatic resistome from a One Health perspective.202540572139
4536100.9988Resistome Analysis of Global Livestock and Soil Microbiomes. Antimicrobial resistance (AMR) is a serious threat to public health globally; it is estimated that AMR bacteria caused 1.27 million deaths in 2019, and this is set to rise to 10 million deaths annually. Agricultural and soil environments act as antimicrobial resistance gene (ARG) reservoirs, operating as a link between different ecosystems and enabling the mixing and dissemination of resistance genes. Due to the close interactions between humans and agricultural environments, these AMR gene reservoirs are a major risk to both human and animal health. In this study, we aimed to identify the resistance gene reservoirs present in four microbiomes: poultry, ruminant, swine gastrointestinal (GI) tracts coupled with those from soil. This large study brings together every poultry, swine, ruminant, and soil shotgun metagenomic sequence available on the NCBI sequence read archive for the first time. We use the ResFinder database to identify acquired antimicrobial resistance genes in over 5,800 metagenomes. ARGs were diverse and widespread within the metagenomes, with 235, 101, 167, and 182 different resistance genes identified in the poultry, ruminant, swine, and soil microbiomes, respectively. The tetracycline resistance genes were the most widespread in the livestock GI microbiomes, including tet(W)_1, tet(Q)_1, tet(O)_1, and tet(44)_1. The tet(W)_1 resistance gene was found in 99% of livestock GI tract microbiomes, while tet(Q)_1 was identified in 93%, tet(O)_1 in 82%, and finally tet(44)_1 in 69%. Metatranscriptomic analysis confirmed these genes were "real" and expressed in one or more of the livestock GI tract microbiomes, with tet(40)_1 and tet(O)_1 expressed in all three livestock microbiomes. In soil, the most abundant ARG was the oleandomycin resistance gene, ole(B)_1. A total of 55 resistance genes were shared by the four microbiomes, with 11 ARGs actively expressed in two or more microbiomes. By using all available metagenomes we were able to mine a large number of samples and describe resistomes in 37 countries. This study provides a global insight into the diverse and abundant antimicrobial resistance gene reservoirs present in both livestock and soil microbiomes.202235875563
3272110.9988Metagenome-Assembled Genomes of Pig Fecal Samples in Nine European Countries: Insights into Antibiotic Resistance Genes and Viruses. Gut microbiota plays a crucial role in the health and productivity of pigs. However, the spread of antibiotic resistance genes (ARGs) and viruses within the pig intestinal microbiota poses significant threats to animal and public health. This study utilized 181 pig samples from nine European countries and employed metagenomic assembly methods to investigate the dynamics and distribution of ARGs and viruses within the pig intestinal microbiota, aiming to observing their associations with potential bacterial hosts. We identified 4605 metagenome-assembled genomes (MAGs), corresponding to 19 bacterial phyla, 97 families, 309 genera, and a total of 449 species. Additionally, 44 MAGs were classified as archaea. Analysis of ARGs revealed 276 ARG types across 21 ARG classes, with Glycopeptide being the most abundant ARG class, followed by the class of Multidrug. Treponema D sp016293915 was identified as a primary potential bacterial host for Glycopeptide. Aligning nucleotide sequences with a viral database, we identified 1044 viruses. Among the viral genome families, Peduoviridae and Intestiviridae were the most prevalent, with CAG-914 sp000437895 being the most common potential host species for both. These findings highlight the importance of MAGs in enhancing our understanding of the gut microbiome, revealing microbial diversity, antibiotic resistance, and virus-bacteria interactions. The data analysis for the article was based on the public dataset PRJEB22062 in the European Nucleotide Archive.202439770612
7718120.9988Shotgun metagenomics offers novel insights into taxonomic compositions, metabolic pathways and antibiotic resistance genes in fish gut microbiome. Gut microbiota of freshwater carp (Labeo rohita) was investigated by shotgun metagenomics to understand its taxonomic composition and functional capabilities. With the presence of 36 phyla, 326 families and 985 genera, the fish gut microbiota was found to be quite diverse in nature. However, at the phylum level, more than three-fourths of gut microbes belonged to Proteobacteria. Very low prevalence of commonly used probiotic bacteria (Bacillus, Lactobacillus, Streptococcus, and Lactococcus) in fish gut suggested the need to search for alternative probiotics for aquaculture use. Biosynthesis pathways were found to be the most dominant (51%) followed by degradation (39%), energy metabolism (4%) and fermentation (2%). In conformity with herbivorous feeding habit of L. rohita, gut microbiome also had pathways for the degradation of cellulose, hemicellulose, chitin, pectin, starch, and other complex carbohydrates. High prevalence of Actinobacteria and antibiotic biosynthesis pathways in the fish gut microbiome indicated its potential for bioprospecting of potentially novel natural antibiotics. Fifty-one different types of antibiotic resistance genes (ARGs) belonging to 15 antimicrobial resistance (AMR) gene families and conferring resistance against 24 antibiotic types were detected in fish gut. Some of the ARGs for multi-drug resistance were also found to be located on sequences of plasmid origin. The presence of pathogenic bacteria and ARGs on plasmid sequences suggested the potential risk due to horizontal gene transfer in the confined gut environment. The role of ARGs in fish gut microbiome needs further investigations.201930604012
3237130.9988Metagenomic analysis reveals antibiotic resistance genes in the bovine rumen. Metagenomics and network analysis were used to profile antibiotic resistance genes (ARGs) and their cooccurrence patterns in bovine rumen microbes. A total of 4941 ruminal microbial genomes and 20 metagenome samples were used in this study. In general, 103 ARG subtypes belonging to 20 ARG types in 79 candidate genomes were identified, showing the broad-spectrum profiles of ARGs in the bovine rumen environment. A wide distribution of genes encoding bacitracin resistance was found among the candidate genomes, suggesting the possibility that bovines might be one of the sources of bacitracin resistance genes. Cooccurrence patterns were found within or between the ARG types, and a positive correlation was found between some ARGs and bacteria, which revealed potential dominant hosts of ARGs. The investigation showed that bovine rumen systems are important ARG reservoirs, and our research might provide a theoretical basis for the evaluation of the harmfulness of ARGs and antibiotic-resistant bacteria (ARB) to food safety and human health.202032561419
3239140.9988Antibiotic resistomes of healthy pig faecal metagenomes. Antibiotic resistance reservoirs within food-producing animals are thought to be a risk to animal and human health. This study describes the minimum natural resistome of pig faeces as the bacteria are under no direct antibiotic selective pressure. The faecal resistome of 257 different genes comprised 56 core and 201 accessory resistance genes. The genes present at the highest relative abundances across all samples were tetW, tetQ, tet44, tet37, tet40, mefA, aadE, ant(9)-1, ermB and cfxA2. This study characterized the baseline resistome, the microbiome composition and the metabolic components described by the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways in healthy pig faeces, without antibiotic selective pressures. The microbiome hierarchical analysis resulted in a cluster tree with a highly similar pattern to that of the accessory resistome cluster tree. Functional capacity profiling identified genes associated with horizontal gene transfer. We identified a statistically significant positive correlation between the total antibiotic resistome and suggested indicator genes, which agree with using these genes as indicators of the total resistomes. The correlation between total resistome and total microbiome in this study was positive and statistically significant. Therefore, the microbiome composition influenced the resistome composition. This study identified a core and accessory resistome present in a cohort of healthy pigs, in the same conditions without antibiotics. It highlights the presence of antibiotic resistance in the absence of antibiotic selective pressure and the variability between animals even under the same housing, food and living conditions. Antibiotic resistance will remain in the healthy pig gut even when antibiotics are not used. Therefore, the risk of antibiotic resistance transfer from animal faeces to human pathogens or the environment will remain in the absence of antibiotics.201931091181
3687150.9988Genome Sequence of a Novel Multiple-Antibiotic-Resistant Member of the Erysipelotrichaceae Family Isolated from a Swine Manure Storage Pit. The swine gastrointestinal tract and stored swine manure may serve as reservoirs of antibiotic resistance genes, as well as sources of novel bacteria. Here, we report the draft genome sequence of a novel taxon in the Erysipelotrichaceae family, isolated from a swine manure storage pit that is resistant to multiple antibiotics.201627660777
3232160.9988Metagenome-Based Analysis of the Microbial Community Structure and Drug-Resistance Characteristics of Livestock Feces in Anhui Province, China. We analyzed metagenome data of feces from sows at different physiological periods reared on large-scale farms in Anhui Province, China, to provide a better understanding of the microbial diversity of the sow intestinal microbiome and the structure of antibiotic-resistance genes (ARGs) and virulence genes it carries. Species annotation of the metagenome showed that in the porcine intestinal microbiome, bacteria were dominant, representing >97% of the microorganisms at each physiological period. Firmicutes and Proteobacteria dominated the bacterial community. In the porcine gut microbiome, the viral component accounted for an average of 0.65%, and the species annotation results indicated that most viruses were phages. In addition, we analyzed the microbiome for ARGs and virulence genes. Multidrug-like, MLS-like, and tetracycline-like ARGs were most abundant in all samples. Evaluation of the resistance mechanisms indicated that antibiotic inactivation was the main mechanism of action in the samples. It is noteworthy that there was a significant positive correlation between ARGs and the total microbiome. Moreover, comparative analysis with the Virulence Factor Database showed that adhesion virulence factors were most abundant.202438393105
2825170.9988Taxonomic diversity of antimicrobial-resistant bacteria and genes in the Red Sea coast. Despite development of a record number of recreational sites and industrial zones on the Red Sea coast in the last decade, antibiotic-resistant bacteria in this environment remain largely unexplored. In this study, 16S rDNA sequencing was used to identify bacteria isolated from 12 sediment samples collected from the Red Sea coastal, offshore, and mangroves sites. Quantitative PCR was used to estimate the quantity of antimicrobial resistance genes (ARGs) in genomic DNA in the samples. A total of 470 bacteria were isolated and classified into 137 distinct species, including 10 candidate novel species. Site-specific bacterial communities inhabiting the Red Sea were apparent. Relatively, more resistant isolates were recovered from the coast, and samples from offshore locations contained the most multidrug-resistant bacteria. Eighteen ARGs were detected in this study encoding resistance to aminoglycoside, beta-lactam, sulfonamide, macrolide, quinolone, and tetracycline antibiotics. The qnrS, aacC2, ermC, and bla(TEM-1) genes were commonly found in coastal and offshore sites. Relatively higher abundance of ARGs, including aacC2 and aacC3, were found in the apparently anthropogenically contaminated (beach) samples from coast compared to other collected samples. In conclusion, a relative increase in antimicrobial-resistant isolates was found in sediment samples from the Red Sea, compared to other studies. Anthropogenic activities likely contribute to this increase in bacterial diversity and ARGs.201931063890
3244180.9988Metagenomic analysis of virulence-associated and antibiotic resistance genes of microbes in rumen of Indian buffalo (Bubalus bubalis). A major research goal in rumen microbial ecology is to understand the relationship between community composition and its function, particularly involved in fermentation process is of a potential interest. The buffalo rumen microbiota impacts human food safety as well as animal health. Although the bacteria of bovine rumen have been well characterized, techniques have been lacking to correlate total community structure with gene function. We applied 454 next generations sequencing technology to characterize general microbial diversity present in buffalo rumen metagenome and also identified the repertoire of microbial genes present, including genes associated with antibiotic resistance and bacterial virulence. Results suggest that over six percent (6.44%) of the sequences from our buffalo rumen pool sample could be categorized as virulence genes and genes associated with resistance to antibiotic and toxic compounds (RATC), which is a higher proportion of virulence genes reported from metagenome samples of chicken cecum (5.39%), cow rumen (4.43%) and Sargasso sea (2.95%). However, it was lower than the proportion found in cow milk (11.33%) cattle faeces (8.4%), Antarctic marine derived lake (8.45%), human fecal (7.7%) and farm soil (7.79%). The dynamic nature of metagenomic data, together with the large number of RATC classes observed in samples from widely different ecologies indicates that metagenomic data can be used to track potential targets and relative amounts of antibiotic resistance genes in individual animals. In addition, these data can be also used to generate antibiotic resistance gene profiles to facilitate an understanding of the ecology of the microbial communities in each habitat as well as the epidemiology of antibiotic resistant gene transport between and among habitats.201222850272
3141190.9988Microbial community and antimicrobial resistance in fecal samples from wild and domestic ruminants in Maiella National Park, Italy. This study aimed to provide new insights about antimicrobial resistance genes abundance and microbial communities of wild and domestic ruminants in wildlife-livestock interface. In total, 88 fecal samples were recovered from Apennine chamois, red deer, goat, cattle and sheep, and were collected in pools. The populations under study were selected based on ecological data useful to define sympatric and non-sympatric populations. Samples were screened for commonly used in farms under study or critically important antimicrobial resistance genes (aadA2, TetA, TetB, TetK, TetM, mcr-1). The microbial community composition was found to be different based on the species and land use of animals under study. Indeed, it was mostly characterized by phyla Firmicutes in bovine, Bacteroidota in chamois and Proteobacteria in red deer. Additionally, positive correlations between antibiotic resistance genes and microbial taxa (e.g., Tet genes correlated with Firmicutes and Patescibacteria) were described. Of the antimicrobials investigated, the abundance of mcr-1 gene suggests the importance of monitoring the wildlife in order to detect the emerging resistance genes contamination in environment. This study provides new data that highlight the importance of multidisciplinary and uncultured study in order to describe the spreading of antimicrobial resistance and related contamination in the environment.202235647256