Biology subjects

Lanza, V. F.

Publications and source records attributed to Lanza, V. F..

15 recordsLinked to original sources

bioRxiv2026

Bacterial Mercury Resistance Reveals a Robust Species-Structured Human Antimicrobial Mobilome

Antimicrobial resistance (AMR) is increasingly recognized as an ecological and evolutionary phenomenon that extends beyond clinical environments. Despite the predominant focus on antibiotics, bacterial metal resistance genes are among the oldest and most widespread adaptive antimicrobial systems, yet their distribution within human-associated microbial communities remains poorly characterized. Here, we investigated the ecology of mercury (Hg) resistance in children from a birth cohort with relatively high Hg exposure. Fecal samples from 234 children aged 4-8 years were analyzed using culture-based screening, whole-genome sequencing, and comparative analyses of metal- and antibiotic-resistance determinants and associated mobile genetic elements (MGEs). Hg-resistance was detected in 79.7% of samples, with HgR Enterobacterales isolated from 57% of children. Hair mercury concentrations were not associated with carriage. Sequencing revealed a phylogenetically diverse collection dominated by Escherichia spp. (61%). Hg resistance was mediated by 79 mer operons primarily associated with Tn21, Tn1696, and Tn5053 families circulating on chromosomes and a highly diverse plasmidome. Both rare and globally distributed plasmids related to foodborne, animal, and clinical Enterobacterales were identified. Metal resistance determinants exhibited strong taxonomic structuring, with Escherichia enriched in iron-uptake systems and siderophores whereas non-Escherichia taxa carried multimetal resistance operons. These findings indicate that Hg-resistance is shaped by ecological interactions and MGEs, becoming partially decoupled from contemporary Hg-exposure and bacterial community composition. The human gut therefore serves as an important reservoir linking environmental metal resistance to the broader evolution of AMR and provides insight into the baseline resistome and plasmidome of human populations.

microbiology↗

bioRxiv2026

Multireplicon plasmids emerge under predictable rules and drive the spread of antimicrobial resistance across bacterial hosts

Plasmids are DNA molecules that replicate independently of the bacterial chromosome and are typically associated with the spread of antimicrobial resistance (AMR) and virulence determinants, among other relevant traits. Fusion events between plasmids generate larger, complex backbones that carry two or more replication systems, known as multireplicon plasmids. Despite decades of study, we are still far from understanding how multireplicon plasmids arise, persist, and shape the evolution of AMR. Here, we analyzed 24,000 non-redundant plasmids across bacterial genera and found that more than 30% of them encoded multiple replicons. Compared to single-replicon plasmids, multireplicon plasmids were larger, were enriched in genes encoding antimicrobial, metal, and biocide resistance as well as virulence factors, and showed higher mobility and a broader host range. We also found that multireplicon assembly is not random. Some replicon pairs repeatedly merge into stable multireplicon plasmids, while other pairs rarely fuse even when they commonly coexist intracellularly. We also show that replicon pairs tend to be localized either in close proximity to one another or on opposite poles of the plasmid. We further highlight that multireplicon plasmids can be broadly classified into two groups: long-term coevolving replicon pairs and transient associations that lack a shared evolutionary history. Finally, we reveal the molecular mechanisms underlying multireplicon formation and highlight the role of insertion sequences in their formation and maintenance. Together, our work sheds light on the abundance, gene content, evolutionary patterns, and formation dynamics of multireplicon plasmids and pinpoints their relevance to bacterial evolution and human health.

microbiology↗

bioRxiv2025

BacTaxID: A universal framework for standardized bacterial classification

Bacterial strain typing is key to surveillance, outbreak investigation and microbial ecology, yet current systems remain species-specific, reference-dependent and lack a universal, interpretable metric of genomic relatedness. Here, we introduce BacTaxID, a fully configurable, whole-genome k-mer-based framework that encodes each genome as a numeric sketch and organizes strains into hierarchical clusters with user-defined similarity thresholds. BacTaxID distances are strictly proportional to Average Nucleotide Identity (ANI), providing a direct quantitative link between vectorial typing and genome-wide divergence. Applied to 2.3 million genomes from "All the Bacteria" database across 67 genera, BacTaxID demonstrates universal concordance species and sub-species classification systems, while capturing finer strain-level diversity than traditional reference-based approaches. In simulated surveillance and real outbreak datasets, BacTaxID reproduces SNP and cgMLST-based definitions while enabling rapid, scalable screening. Precomputed genus-level schemes and an open implementation provide a practical, genus-agnostic alternative to classical typing systems for standardized bacterial classification.

bioinformatics↗

bioRxiv2025

Plasmids promote bacterial evolution through a copy number-driven increase in mutation rate

Plasmids are autonomously replicating DNA molecules that stably coexist with chromosomes in bacterial cells. These genetic elements drive horizontal gene transfer and play a fundamental role in bacterial ecology and evolution. Theory suggests that plasmids might evolve faster than chromosomes, as the mutation rate per gene should proportionally increase with plasmid copy number. However, the segregation of plasmid copies to daughter cells is random, introducing an additional layer of genetic drift, known as segregational drift, that might delay plasmid evolution. The interplay between plasmid mutational supply and segregational drift determines the evolutionary rate of plasmid-encoded genes, yet the relative contribution of these opposite forces in plasmid evolution remains unclear. Here, we took a classical population genetics framework to devise a mathematical approximation that predicts the fate of plasmid mutations in bacterial populations. We then validate these predictions by integrating computational, experimental, and bioinformatic approaches. Our findings show that plasmid mutation rates scale logarithmically with copy number: while increasing copy number elevates the mutation rate, the effect diminishes at higher copy numbers, where additional copies yield only marginal increases. Nonetheless, the supply of new mutations consistently surpasses the impact of segregational drift across all copy number levels. These results underscore plasmids as powerful platforms for bacterial evolvability and help explain their remarkable prevalence across microbial phylogeny.

microbiology↗

bioRxiv2025

The Antimicrobial Gut Resistome of the Wayampi reveals a shared background of antibiotic and metal resistance genes with industrialised populations, underscoring the robust-yet-fragile architecture of human gut microbiomes.

BackgroundMetagenomics enables detailed profiling of antimicrobial resistance genes, but most studies focus solely on antibiotic resistance genes (ARGs), use low-sensitivity methods, and rarely investigate populations with minimal anthropogenic pollution. We analyzed fecal resistomes of 95 Wayampi individuals, an Indigenous community in remote French Guiana, using a targeted metagenomic capture platform covering 8,667 resistance genes to antibiotics (ARGs), metals (MRGs), and biocides (BRGs) (PMID: 29335005). Resistome profiles were compared with Europeans to assess population-level differences. ResultsARG richness was similar between groups (259 in Wayampi vs. 264 in Europeans, 159 shared), but MRGs + BRGs (BAC) gene richness was signifcantly higher in Wayampi (3,670 vs. 2,039). Most genes appeared in a minority of individuals (mean 5% for ARGs, 2% for BAC), but several ARGs for tetracyclines [tet(32), tet(40), tet(O), tet(Q), tet(W), tet(X), tetAB(P)], aminoglycosides (ant6'-I, aph3-III), macrolides (ermB, ermF, mefA), and sulfonamides (sul2) were present in all individuals. Tetracycline resistance genes predominated overall, while beta-lactam resistance genes were more common in Wayampi, and genes conferring resistance to aminoglycosides, amphenicols, and folate inhibitors were more frequent in Europeans. Among MRGs, copper and arsenic resistance genes prevailed, followed by those for zinc, iron, cobalt, and, nickel. Up to 76% of Wayampiis carried acquired MRGs for copper (pcoABCDRS and tcrB), silver (silACFPRS), arsenic (ars), and mercury (mer) detoxification. Shannon diversity indices were similar for ARGs, MRGs, and BRGs, but composition and evenness differed significantly. UMAP and ADONIS analyses distinguised cohorts by ARG profiles (p < 0.001), but not MRGs or BRGs. Correlation analysis revealed conserved gene-sharing networks and introgression of acquired ARGs and MRGs in both gut microbiomes. ConclusionsThe diverse and balanced Wayampi resistome reflect a less perturbed microbiome compared to industrialized populations, and reveals a background of core and shell acquired ARGs and MRGs, consistent with the "robust-yet-fragile" architecture of scale-free networks. The patchy yet resilient distribution of resistance genes reflects varying levels of conserved gene sharing highways probably shaped by long-term microbial-human evolution, and support a broader view of acquired antimicrobial resistance.

microbiology↗

bioRxiv2024

Comprehensive multi-omics profiling of a healthy human cohort

Multi-omics approaches can offer powerful insights into personalized biomarker profiles relevant for disease diagnosis, prognosis, and therapeutics. However, separating meaningful biological variability from technical noise remains a major challenge. The EATRIS-Plus consortium analyzed blood samples from 127 healthy adults across six omics layers using twelve platforms, resulting in one of the most comprehensive multi-omics profiling datasets of healthy individuals available to date. We applied reproducible workflows to analyze and integrate these data, revealing several key findings. Sex significantly influenced all omics layers, emphasizing the importance of sex-balanced study designs. Age could be accurately predicted using epigenetic clocks, achieving high performance with our high-resolution enzymatic methylation sequencing data (R2 = 0.90), whereas candidate aging biomarkers were identified across all omics layers. The resulting dataset provides reference ranges in healthy individuals for abundance and variability of omics features, enabling robust power analyses, sample size estimations, and benchmarking of multi-omics integration methods. This resource can guide future biomarker discovery and personalized health research and was made FAIR-compliant and publicly available via the ClinData Portal (https://clindata.imtm.cz) and a Zenodo repository (https://doi.org/10.5281/zenodo.17514796).

bioinformatics↗

bioRxiv2023

Bacteriocin Distribution Patterns in Enterococcus faecium and Enterococcus lactis: Bioinformatic Analysis Using a Tailored Genomics Framework

Multidrug-resistant Enterococcus faecium represent a major concern due to their ability to thrive in diverse environments and cause life-threatening infections. While antimicrobial resistance and virulence mechanisms have been extensively studied, the contribution of bacteriocins to E. faeciums adaptability remains poorly explored. E. faecium, within the Bacillota phylum, is a prominent bacteriocin producer. Here, we developed a tailored database of 76 Bacillota bacteriocins (217 sequences, including 40 novel bacteriocins) and applied it to uncover bacteriocin distribution patterns in 997 quality-filtered E. faecium and Enterococcus lactis (former E. faecium clade B) genomes. Curated using computational pipelines and literature mining, our database demonstrates superior precision versus leading public tools in identifying diverse bacteriocins. Distinct bacteriocin profiles emerged between E. faecium and E. lactis, highlighting species-specific adaptations. E. faecium strains from hospitalized patients were significantly enriched for bacteriocins as entA, bac43, bacAS5 and bacAS11. These bacteriocins strongly associated with antibiotic resistance, particularly vancomycin and ampicillin, and Inc18 rep2_pRE25-derivative plasmids, classically associated with vancomycin resistance transposons. Our integrated genomic and epidemiological analysis elucidates meaningful connections between bacteriocin determinants, antimicrobial resistance, mobile genetic elements, and ecological origins in E. faecium. This work significantly expands the knowledge on the understudied bacteriocin diversity in opportunistic enterococci, revealing their contribution to environmental adaptation. Further characterization of strain-level bacteriocin landscapes could inform strategies to combat high-risk clones. Overall, these insights provide a framework for unravelling bacteriocins therapeutic and biotechnological potential.

genomics↗

bioRxiv2023

Long-term dynamics of the 'Serratia marcescens complex' in the hospital-built environment

Serratia marcescens is an opportunistic pathogen historically associated with abrupt, unpredictable, and severe outbreaks in hospital intensive care units (ICUs) and, more recently, with the spread of acquired genes encoding carbapenem resistance. However, the population biology and ecology of S. marcescens in the hospital ecosystem is still poorly understood. Here, we combine epidemiological information of 1417 Serratia isolates collected from the sinks of a large ICU ward that underwent significant demographic and operational changes (2019-2020) and 99 non-redundant outbreak/non-outbreak isolates from the same hospital (2003-2019), with genomic data of 165 isolates. We first report hospital sinks as reservoirs of heterogeneous and coexistent populations of the S. marcescens complex (SMC). A novel SMC clade congruent with the recently described Serratia nevei species is predominant, exhibiting chromosomal AmpC {beta}-lactamase with an unusual basal expression in contrast to one of the major features of S. marcescens. Persistent Serratia sink strains are identical to those involved in clonal and polyclonal outbreaks of VIM-1 and OXA-48 producers since at least 2017. The "source-sink" dynamics of SMC populations able to acquire the highly conserved plasmids such as IncL carrying blaVIM-1 or blaOXA-48 offer novel insights that might improve interventions to control outbreaks and treat Serratia infections in high-risk hospital areas.

microbiology↗

bioRxiv2022

Consistent typing of plasmids with the mge-cluster pipeline

Extrachromosomal elements of bacterial cells such as plasmids are notorious for their importance in evolution and adaptation to changing ecology. However, high-resolution population-wide analysis of plasmids has only become accessible recently with the advent of scalable long-read sequencing technology. Current typing methods for the classification of plasmids remain limited in their scope which motivated us to develop a computationally efficient approach to simultaneously recognize novel types and classify plasmids into previously identified groups. Our method can easily handle thousands of input sequences which are compressed using a unitig representation in a de Bruijn graph. We provide an intuitive visualization, classification and clustering scheme that users can explore interactively. This provides a framework that can be easily distributed and replicated, enabling a consistent labelling of plasmids across past, present, and future sequence collections. We illustrate the attractive features of our approach by the analysis of population-wide plasmid data from the opportunistic pathogen Escherichia coli and the distribution of the colistin resistance gene mcr-1.1 in the plasmid population.

bioinformatics↗

bioRxiv2022

Phylogenomics of globally spread Clonal Groups 14 and 15 of Klebsiella pneumoniae

The increasing worldwide spread of multidrug-resistant (MDR) Kp is largely driven by high-risk sublineages, some of them well-characterised such as Clonal Group (CG) 258, CG147 or CG307. MDR Kp Sequence-Type (ST) 14 and ST15 have been described worldwide causing frequent outbreaks of CTX-M-15 and/or carbapenemase producers. However, their phylogeny, population structure and global dynamics remain unclear. Here, we clarify the phylogenetic structure and evolvability of CG14 and CG15 Kp by analysing the CG14 and CG15 genomes available in public databases (n=481, November 2019) and de novo sequences representing main sublineages circulating in Portugal (n=9). Deduplicated genomes (n=235) were used to infer temporal phylogenetic evolution and to compare their capsular locus (KL), resistome, virulome and plasmidome using high-resolution tools. Phylogenetic analysis supported independent evolution of CG14 and CG15 within two distinct clades and 4 main subclades which are mainly defined according to the KL and the accessory genome. Within CG14, two large monophyletic subclades, KL16 (14%) and KL2 (86%), presumptively emerged around 1937 and 1942, respectively. Sixty-five percent of CG14 carried genes encoding ESBL, AmpC and/or carbapenemases and, remarkably, they were mainly observed in the KL2 subclade. The CG15 clade was segregated in two major subclades. One was represented by KL24 (42%) and KL112 (36%), the latter one diverging from KL24 around 1981, and the other comprised KL19 and other KL-types (16%). Of note, most CG15 genomes contained genes encoding ESBL, AmpC and/or carbapenemases (n=148, 87%) and displayed a characteristic set of mutations in regions encoding quinolone resistance (QRDR, GyrA83F/GyrA87A/ParC80I). Plasmidome analysis revealed 2463 plasmids grouped in 27 predominant plasmid groups (PG) with a high degree of recombination, including particularly pervasive F-type (n=10) and Col (n=10) plasmids. Whereas blaCTX-M-15 was linked to a high diversity of mosaic plasmids, other ARGs were confined to particular plasmids (e.g. blaOXA-48-IncL; blaCMY/TEM-24-IncC). This study firstly demonstrates an independent evolutionary trajectory for CG15 and CG14, and suggests how the acquisition of specific KL, QRDR mutations (CG15) and ARGs in highly recombinant plasmids could have shaped the expansion and diversification of particular subclades (CG14-KL2, CG15-KL24/KL112). IMPORTANCEKlebsiella pneumoniae (Kp) represents a major threat in the burden of antimicrobial resistance (AMR). Phylogenetic approaches to explain the phylogeny, emergence and evolution of certain multidrug resistant populations have mainly focused on core-genome approaches while variation in the accessory genome and the plasmidome have been long overlooked. In this study, we provide unique insights into the phylogenetic evolution and plasmidome of two intriguing and yet uncharacterized clonal groups (CGs), the CG14 and CG15, which have contributed to the global dissemination of contemporaneous {beta}-lactamases. Our results point-out an independent evolution of these two CGs and highlight the existence of different clades structured by the capsular-type and the accessory genome. Moreover, the contribution of a turbulent flux of plasmids (especially multireplicon F type and Col) and adaptive traits (antibiotic resistance and metal tolerance genes) to the pangenome, reflect the exposure and adaptation of Kp under different selective pressures.

genomics↗

bioRxiv2021

PATO: Pangenome Analysis Toolkit

MotivationComparative genomics is a growing field but one that will be eventually overtaken by sample size studies and the increase of available genomes in public databases. We present the Pangenome Analysis Toolkit (PATO) designed to simultaneously analyze thousands of genomes using a desktop computer. The tool performs common tasks of pangenome analysis such as core-genome definition and accessory genome properties and includes new features that help characterize population structure, annotate pathogenic features and create gene sharedness networks. PATO has been developed in R to integrate with the large set of tools available for genetic, phylogenetic and statistical analysis in this environment. ResultsPATO can perform the most demanding bioinformatic analyses in minutes with an accuracy comparable to state-of-the-art software but 20-30x times faster. PATO also integrates all the necessary functions for the complete analysis of the most common objectives in microbiology studies. Lastly, PATO includes the necessary tools for visualizing the results and can be integrated with other analytical packages available in R. AvailabilityThe source code for PATO is freely available at https://github.com/irycisBioinfo/PATO under the GPLv3 license. Contactval.fernandez@salud.madrid.org Supplementary informationSupplementary data are available at Bioinformatics online

bioinformatics↗

bioRxiv2021

Fitness cost of vancomycin-resistant Enterococcus faecium plasmids associated with hospital infection outbreaks

BackgroundVancomycin resistance is mostly associated with Enterococcus faecium due to Tn1546-vanA located on narrow- and broad-host plasmids of various families. The studys aim was to analyse the effects of acquiring Tn1546-plasmids with proven epidemicity in different bacterial host backgrounds. MethodsWidespread Tn1546-plasmids of different families RepA_N (n=5), Inc18 (n=4) and/or pHT{beta} (n=1), and prototype plasmids RepA_N (pRUM) and Inc18 (pRE25, pIP501) were analysed. Plasmid transferability and fitness cost were assessed using E. faecium (GE1, 64/3) and Enterococcus faecalis (JH2-2/FA202/UV202) recipient strains. Growth curves (Bioscreen C) and Relative Growth Rates were obtained in presence/absence of vancomycin. Plasmid stability was analysed (300 generations). Whole genome sequencing (Illumina-MiSeq) of non-evolved and evolved strains (GE1/64/3 transconjugants, n=49) was performed. SNP calling (breseq software) of non-evolved strains was used for comparison. ResultsAll plasmids were successfully transferred to different E. faecium clonal backgrounds. Most Tn1546-plasmids and Inc18 and RepA_N prototypes reduced host fitness (-2%-18%) while the cost of Tn1546 expression varied according to the Tn1546-variant and the recipient strain (9-49%). Stability of Tn1546-plasmids was documented in all cases, often with loss of phenotypic resistance and/or partial plasmid deletions. Point mutations and/or indels associated with essential bacterial functions were observed on the chromosome of evolved strains, some of them linked to increased fitness. ConclusionsThe stability of E. faecium Tn1546-plasmids in the absence of selective pressure and the high intra-species conjugation rates might explain the persistence of vancomycin resistance in E. faecium populations despite the significant burden they might impose on bacterial host strains.

microbiology↗

bioRxiv2020

New insights into the paradoxical distribution of IRC7 in Saccharomyces cerevisiae and its associated phenotypic and genomic landscapes

Biotic and abiotic factors of wine fermentations have led to the accumulation of numerous genomic hallmarks of domestication in Saccharomyces cerevisiae wine strains. Here we have studied the paradoxical distribution of a dominant allele of IRC7 in wine yeast strains. This gene encodes a cysteine-S-{beta}-lyase and presents two alleles: a wild full-length allele (IRC7F) and a mutated one (IRC7S), harboring a 38bp-deletion. Interestingly, IRC7S-coding for a less active enzyme-appears in the great majority of wine strains. Studying its global distribution among phylogenetic clades, we observed that IRC7S allele is dominant just in wine strains, having a moderate presence in other domesticated clades (Beer, Bread and Wine-PDM), but being completely absent in wild clades, appearing as a new hallmark of domestication. To explain this paradoxical distribution, we performed an IRC7-rooted phenotypic-wide survey, demonstrating that IRC7S-homozygous (HS) wine strains have both fitness (lower lag phases and higher growth rates) and competitive (killer toxin resistance, pseudohyphal growth) advantages. Hence, we performed a genome-wide survey across domesticated clades, finding a set of mutations that are conserved among wine strains and potentially associated to IRC7S allele, which can help to explain the outstanding phenotype of HS strains and their dominant distribution in wines. Originality-Significance StatementS. cerevisiae is one of the best studied microbes due to its industrial importance and its use as a eukaryotic model organism. S. cerevisiae is also an interesting model for studying the effects of domestication in yeast genomic, phenotype and ecology. The study of how wild S. cerevisiae strains evolved into a greatly adapted domesticated strains and changed its lifestyle drastically is still of great interest. In the case of wine populations, strains have accumulated numerous hallmarks of domestication in their genome, related with their great phenotypic adaptation to this environment. Here, we report a new hallmark of domestication in wine strains; the IRC7 deleted allele (IRC7S) and present the first insights about its unexpected global distribution among phylogenetic clades, understanding the genomic context and the phenotypic implications of this allele in wine strains.

microbiology↗

bioRxiv2020

A 21-year survey of from bloodstream infections (BSIs) in a tertiary hospital reveals how community-hospital dynamics, influence local BSI rates, the trends of the B2 phylogroup and the STc131 pandemic clone

This is a longitudinal study comprising 649 Escherichia coli (EC) isolates representing all 7165 EC-BSI episodes recorded in a hospital (1996-2016). Strains analysis included clonal identification (phylogenetic groups/subgroups, STc131 subclades, PFGE, and WGS), antibiotic susceptibility (13 antibiotics), and virulence-associated genes (VAGs, 29 genes). The incidence of BSI-EC increased from 1996 to 2016 (5.5 to 10.8 BSI episodes/1000 hospitalizations, average 7-8/1000). B2 isolates predominate (53%), subgroups B2-I (STc131), B2-II, B2-IX, and B2-VI representing 25%, 25%, 14%, and 9%, respectively. Intertwined waves of community-acquired (CA) + healthcare-associated and community-onset healthcare-associated (HCA), and hospital-acquired (HA) episodes of both B2 and non-B2 phylogroups occurred. A remarkable increase was only observed for B2-I-STc131 (C1/C2 subclades), with oscillations for other B2 subgroups and phylogroups throughout the years. Epidemic and persistent clones (comprising isolates with highly similar/identical-PFGE types and genomes differing in 18-97 SNPs) of B2-I (STc131), B2-II (STc73), B2-III (STc127), B2-IX (STc95), and B2-VI (STc12) were recovered from different patients, most at hospital admission, for long periods (2-17 years), ESBL producers or resistance to ciprofloxacin in B2 isolates were almost restricted to B2-I (STc131) subclade C. STc131 contributed to increasing the B2 rates but only transiently altered the EC-population structure. The increase of EC-BSI was determined by waves of CA+HCA-BSI episodes that predate the waves of HA-BSI. Besides the risk of hospital transmission that led to temporal increases in BSIs, this study suggests that EC-populations/clones from community-based healthy individuals may occasionally have an epidemic structure and provide a source of transmissible strains influencing the HA-BSIs incidence. IMPORTANCESepsis is the third cause of mortality in Western countries and one of the Global Health threads recognized by the WHO since 2017. Despite Escherichia coli constitutes the most common cause of bloodstream infections (BSI), its epidemiology is not fully understood, in part due to the scarcity of local and longitudinal studies. Our work analyzes the long-term dynamics of E. coli causing bacteremia in a single institution and reveals waves of different clonal lineages that emerge periodically and successfully spread afterward in both the community and hospitals. Because the origin of BSI-E. coli infections is the gut, the microbiota of healthy individuals might occasionally have an epidemic structure, providing a source of E. coli strains to influence the incidence of hospital BSIs. The study complements previous fractionated observations focusing on specific E. coli lineages or antibiotic-resistant isolates in the last decades and helps to understand the epidemiology of E. coli BSIs and the dynamics of pandemic clones.

microbiology↗

bioRxiv2017

In-Depth Resistome Analysis by Targeted Metagenomics

We developed ResCap, a targeted sequence capture platform based on SeqCapEZ technology, to analyse resistomes and other genes related to antimicrobial resistance (heavy metals, biocides and plasmids). ResCap includes probes for 8,667 canonical resistance genes (7,963 antibiotic resistance genes and 704 genes conferring resistance to metals or biocides), plus 2,517 relaxase genes (plasmid markers). Besides, it includes 78.600 genes homologous to the previous ones (47,806 for antibiotics and 30,794 for biocide or metals). ResCap enriched 279-fold the targeted sequences detected by metagenomic shotgun sequencing and improves their identification. Novel bioinformatic approaches allow quantifying \"gene abundance\" and \"gene diversity\". ResCap, the first targeted sequence capture specifically developed to analyse resistomes, enhances the sensitivity and specificity of available metagenomic methods to analyse antibiotic resistance in complex populations, enables the analysis of other genes related to antimicrobial resistance and opens the possibility to accurately study other complex microbial systems.

microbiology↗