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Integrons

Integrons are genetic elements found in bacteria that are capable of capturing and expressing genes, often conferring antimicrobial resistance.
They consist of a gene integrase, a recombination site, and a promoter that can drive the expression of captured genes.
Integrons play a significant role in the dissemination of antibiotic resistance genes, making them an important target for research and clinical monitoring.
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Most cited protocols related to «Integrons»

Each resistance gene was classified as either being iMGE-associated, carried by an MGE or having an unknown association. The AMR was considered associated if it was located within 31 kb of an iMGE. The threshold corresponds to the longest ComTn (Tn6108) from S. enterica in the database and is intended to reflect which genes have the potential to be mobilized by surrounding iMGEs.
The iMGE-associated AMR genes were grouped on MGE type and distance to the closest MGE. Groups with 10 or more members were investigated further as they could be putative TUs. The level of conservation of the sequence spanning between the iMGE and the associated AMR gene was estimated by calculating the average nucleotide identity (ANI) with FastANI (v1.3).38 (link) Translocatability was indicated by a particular MGE and AMR gene combination being located on multiple different plasmids across several unrelated isolates.
Integrons located in association with these putative TUs were detected using Integron Finder v2-2020-04-28 with the local-max option.39 (link)
Publication 2020
Genes Integrons Nucleotides Plasmids
The sequences and annotations of complete genomes were downloaded from NCBI RefSeq (last accessed in November 2013, http://ftp.ncbi.nih.gov/genomes/refseq/bacteria/). Our analysis included 2484 bacterial genomes (see Supplementary Table S1). We used the classification of replicons in plasmids and chromosomes as provided in the GenBank files. Our dataset included 2626 replicons labeled as chromosomes and 2006 as plasmids. The attC sites used to build the covariance model and the accession numbers of the replicons manually curated for the presence or absence of attC sites were retrieved from INTEGRALL, the reference database of integron sequences (http://integrall.bio.ua.pt/) (38 (link)). We used a set of 291 attC sites (Supplementary File 1) to build and test the model, and a set of 346 sequences with expert annotation of 596 attC sites to analyze the quality of the program predictions (Supplementary Tables S2a and S2b).
Publication 2016
Bacteria Chromosomes Genome Genome, Bacterial Integrons Plasmids Replicon
We built a protein profile for the region specific to the integron tyrosine recombinase. For this, we retrieved the 402 IntI homologs from the Supplementary file 11 of Cambray et al. (39 (link)). These proteins were clustered using uclust 3.0.617 (40 (link)) with a threshold of 90% identity to remove very closely related proteins (the largest homologs were kept in each case). The resulting 79 proteins were used to make a multiple alignment using MAFFT (41 (link)) (–globalpair –maxiterate 1000). The position of the specific region of the integron-integrase in V. cholerae was mapped on the multiple alignments using the coordinates of the specific region taken from (17 (link)). We recovered this section of the multiple alignment to produce a protein profile with hmmbuild from the HMMer suite version 3.1b1 (42 (link)). This profile was named intI_Cterm (Supplementary File 2).
We used 119 protein profiles of the Resfams database (core version, last accessed on January 20, 2015 v1.1), to search for genes conferring resistance to antibiotics (http://www.dantaslab.org/resfams, (43 (link))). We retrieved from PFAM the generic protein profile for the tyrosine recombinases (PF00589, phage_integrase, http://pfam.xfam.org/, (44 (link))). All the protein profiles were searched using hmmsearch from the HMMer suite version 3.1b1. Hits were regarded as significant when their e-value was smaller than 0.001 and their alignment covered at least 50% of the profile.
Publication 2016
Antibiotic Resistance, Microbial Bacteriophages Generic Drugs Genes Integrase Integrons Protein Domain Proteins Recombinase Staphylococcal Protein A Tyrosine Vibrio cholerae
The MOB-suite v. 1 database contains 12 091 complete plasmids, and due to the increased number of plasmid sequences made available since the original publication, we expanded the database using new data from the NCBI utilizing the same approach described in the supplementary materials of the MOB-suite paper [14 (link)]. The NCBI Entrez nucleotide database was queried in November 2019 with the query ‘plasmid’ AND ‘complete sequence’ AND ‘bacteria [organism]’. The results were then filtered for sequences between 1500 to 400 000 bp in length, with ‘plasmid’ as the genetic compartment and limited to the INSDC (International Nucleotide Sequence Database Collaboration). This yielded an initial set of 33 875 sequences that were then typed using MOB-typer v. 2.1.0 (Table S1, available with the online version of this article). Records were excluded due to the presence of any of the following terms in the title or description: gene, cds, protein, transposon, insertion, protein, region, operon, pseudogene, integrase, transposase, integron, partial, shotgun. The remaining set of 23 280 sequences was then merged with the MOB-suite v.1 database plasmids, which were then de-duplicated by clustering plasmids that had a Mash v. 2.2.2 [17 (link)] distance of 0 and selecting a single representative for subsequent analyses (Table S2). A priority was given to those plasmids that were part of the initial construction of the MOB-suite clusters, which resulted in a total of 17 779 records. The database exhibits a strong bias towards plasmids from Enterobacteriaceae (35 %) as shown in a Krona plot of the plasmid dataset taxonomic composition (Fig. S1). This has the consequence that the threshold optimization may not be fully representative of the underrepresented taxonomic groups.
Publication 2020
Bacteria Base Sequence BP 400 Enterobacteriaceae Genes Integrase Integrons Jumping Genes Nucleotides Operon Plasmids Proteins Pseudogenes Reproduction Transposase
The input of IntegronFinder is a sequence of DNA in FASTA format. The sequence is annotated with Prodigal v2.6.2 (46 (link)) using the default mode for replicons larger than 200 kb and the metagenomic mode for smaller replicons ('-p meta’ in Prodigal) (Figure 3). In the present work, we omitted the annotation part and used the NCBI RefSeq annotations because they are curated. The annotation step is particularly useful to study newly acquired sequences or poorly annotated ones.
The program searches for the two protein profiles of the integron-integrase using hmmsearch with default parameters from HMMER suite version 3.1b1 and for the attC sites with the default mode of cmsearch from INFERNAL 1.1 (Figure 3). Two attC sites are put in the same cluster if they are less than 4 kb apart on the same strand. The clusters are built by transitivity: an attC site less than 4 kb from any attC site of a cluster is integrated in that cluster. Clusters are merged when localized less than 4 kb apart. The threshold of 4kb was determined empirically as a compromise between sensitivity (large values decrease the probability of missing cassettes) and specificity (small values are less likely to put together two independent integrons). More precisely, the threshold is twice the size of the largest known cassettes (∼2 kb (6 (link))). This guarantees that even in the worst case (largest known cassettes) two attC sites will be clustered if an intervening site was not detected. Importantly, the user can set this threshold (‘- - distance_thresh’ in IntegronFinder).
The results of the searches for the elements of the integron are put together to class the loci in three categories (Figure 1 - B, C, D). (i) The elements with intI and at least one attC site were named complete integrons. The word complete is meant to characterize the presence of both elements; we cannot ascertain the functionality or expression of the integron. (ii) The In0 elements have intI but no recognizable attC sites. We do not strictly follow the original definition of In0, which also includes the presence of an attI (47 (link)), because this sequence is not known for most integrons (and thus cannot be searched for). (iii) The cluster of attC site lacking integron-integrase (CALIN) has at least two attC sites and lacks nearby intI.
To obtain a better compromise between accuracy and running time, IntegronFinder can re-run INFERNAL to search for attC sites with more precision using the Inside algorithm (‘- - max’ option in INFERNAL), but only around previously identified elements (‘- - local_max’ option in IntegronFinder). More precisely, if a locus contains an integron-integrase and attC sites (complete integron), the search is constrained to the strand encoding attC sites between the end of the integron-integrase and 4 kb after its most distant attC. If other attC sites are found after this one, the search is extended by 4 kb in that direction until no more new sites are found. If the element contains only attC sites (CALIN), the search is performed on the same strand on both directions. If the integron is In0, the search for attC sites is done on both strands in the 4 kb flanking the integron-integrase on each side. The program then searches for promoters and attI sites near the integron-integrase. Finally, it can annotate the integron genes’ cassettes (defined in the program as the CDS found between intI and 200 bp after the last attC site, or 200 bp before the first and 200 bp after the last attC site if there is no integron-integrase) using a database of protein profiles (option ‘- - func_annot’). For example, in the present study we used the ResFams database to search for antibiotic resistance genes. One can use any hmmer-compatible profile databases with the program.
The program outputs tabular and GenBank files listing all the identified genetic elements associated with an integron. The program also produces a figure in pdf format representing each complete integron. For an interactive view of all the hits, one can use the GenBank file as input in specific programs such as Geneious (48 (link)).
The user can change the profiles of the integrases and the covariance model of the attC site. Thus, if novel models of attC sites were to be built in the future, e.g., for novel types of attC sites, they could easily be plugged in IntegronFinder.
Publication 2016
Antibiotic Resistance, Microbial BAD protein, human calin Gene Components Genes Hypersensitivity Integrase Integrons Metagenome Proteins Replicon

Most recents protocols related to «Integrons»

The genetic context analysis was done in the host genomes of the latent genes in the core-resistomes. The analysis included 1429 unique resistance gene sequences corresponding to 136 ARGs. For each ARG, the closest known homolog was identified using BLASTx v2.10.1 [36 ] to align the gene sequences against the CARD database [26 ]. Here, CARD was used since it is more comprehensive than ResFinder and includes, in contrast to ResFinder, some genes that are not clinically relevant and/or mobile. Then, genetic regions of up to 10,000 base pairs upstream and downstream of the gene sequences were retrieved using GEnView v0.1.1 [42 (link)] and screened for the presence of genes associated with MGEs and integrons. The genetic regions were translated in all six reading frames using EMBOSS Transeq v6.5.7.0 [43 (link)] and searched with 124 HMMs from MacSyfinder Conjscan v2.0 representing genes involved in conjugation [44 (link)], using HMMER v3.1b2 [45 (link)]. Insertion sequences (ISs) and other mobile ARGs were identified by applying BLASTx v2.10.1 [36 ]. For IS elements, a reference database based on ISFinder [37 , 38 ] was used to find the best among overlapping hits, with the alignment criteria that hits should display >50% coverage and >90% amino acid identity to a known IS transposase, as well as being located within 1,000 base pairs of the latent resistance gene (upstream or downstream). For co-localized mobile ARGs, ResFinder v4.0 was used as a reference database [25 ], with the alignment criterion that hits should display an amino acid identity >90% to a known ARG. Finally, the genetic regions were searched for integrons using Integron Finder v1.5.1 [46 (link)]. After the screening, the genetic contexts were manually investigated and curated.
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Publication 2023
Amino Acids DNA Insertion Elements Genes Genome Hypertelorism, Severe, With Midface Prominence, Myopia, Mental Retardation, And Bone Fragility Integrons Reading Frames Reproduction Transposase
We annotated the hallmark proteins of class 1-4 integrons, IS elements, and conjugative systems to determine the MGE contexts other than plasmid around the ARGs. All contigs from metagenomic assemblies and RefSeq genomes were subjected to this analysis. For integrons we used integrase proteins (IntI) as the hallmark. We searched ORFs against a database containing six sequences, the representative sequences of IntI1-4 (AAQ16665.1, AAT72891.1, AAO32355.1, and 99031763) and the two outgroup sequences (P0A8P6.1 and P0A8P8.1), using diamond blastp (version 2.0.13) with –id 80 –subject-cover 80. For IS elements we used IS-associated transposases as the hallmark. We searched ORFs against the transposases retrieved from ISFinder60 (link) using diamond blastp (version 2.0.13) with –id 80 –subject-cover 80. For the conjugative elements we used the hallmark proteins provided by the CONJscan database61 (link). We searched for alignments to all modules (e.g., CONJ, MOB, typeB, typeC, etc.) included in the CONJscan HMMs, using hmmsearch (version 3.2.1) with score threshold (-T) of 40. For each and every ARG ORF annotated on the genomic or metagenomic contigs, we determined distances to the closest IntI, IS transposases, and conjugative system proteins, respectively. The ARGs found within 100 Kbp of IS transposases or conjugative system proteins were assigned to be putatively associated with those MGEs, since the size of known composite transposons range up to 80 Kbp62 and the size of conjugative mobile elements up to 100 Kbp63 (link). The ARGs found within 10 Kbp from IntI were assigned to be associated with integrons, since the majority of integrons in bacterial genomes have 10 Kbp or shorter cassette array length64 (link).
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Publication 2023
Diamond Genome Genome, Bacterial Hypertelorism, Severe, With Midface Prominence, Myopia, Mental Retardation, And Bone Fragility Integrase Integrons Jumping Genes Metagenome Open Reading Frames Plasmids Proteins Transposase
Descriptive statistics were used to characterize the prevalence of AMR, MDR, virulence genes, integrons, SXT element, ESBL production, and QRDR mutations from A. hydrophila, Salmonella, and V. cholerae isolates. Logistic regression was used to determine the association between resistance and its determinants, virulence factors, and ESBL production (OR >1: positive association; OR <1: negative association). Two-sided hypothesis testing, with p < 0.05 were considered statistically significant. All statistical analyzes were performed with Stata version 14.0 (StataCorp, College Station, TX, USA).
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Publication 2023
Genes Integrons Mutation Salmonella Vibrio cholerae Virulence Virulence Factors
All primers for resistance genes, their determinants, and virulence genes are listed in Table 2. Resistance genes were chosen to correspond with AMR phenotypes: blaTEM, blaSHV, blaCTX−M and blaPSE corresponding to β-lactam resistance and ESBL production; blaNDM and blaOXA corresponding to carbapenem resistance; catA, catB, floR and cmlA corresponding to phenicol resistance; ermB corresponding to erythromycin resistance; qnrA, qnrB, qnrS, aac(6′)-Ib, and qepA corresponding to quinolone resistance; aadA1, aadA2 and aac(3)IV corresponding to gentamicin resistance; tetA, tetB and tetD corresponding to tetracycline resistance; strA and strB corresponding to streptomycin resistance; sul1, sul2, and sul3 corresponding to sulfonamide resistance; dfrA1 and dfrA12 corresponding to trimethoprim resistance; mcr-1 to mcr-5 corresponding to colistin resistance. To confirm the existence of colistin-resistant genes (n = 3), sequence-positive mcr isolates from a previous study were used as reference strains (Pungpian et al., 2021 (link)). Integrons (int1, int2, and int3) and integrative and conjugative elements (SXT element; intSXT) were also detected. For the presence of virulence genes, isolates of A. hydrophila (aerolysin gene: aero; hemolysin gene: hly), Salmonella (invA: invasive gene) and V. cholerae (hemolysin gene: hlyA, cholera toxin: ctx, and co-regulated toxin: tcpA) were examined to determine their virulence factors.
The final volume (50 µL) of the PCR mixture was prepared according to the manufacturer’s instructions. A 5 µL of template DNA, 25 µL of TopTaq Master Mix (Qiagen, Hilden, Germany), 2 µL of each forward and reverse primer, 5 µL of coralLoad, and 11 µL of sterile rNase free water were used. PCR amplification was carried out on a Tpersonal combi model (Biometra, Göttingen, Germany). The PCR product was separated on 1.5% (w/v) agarose gel and stained with Redsafe™ nucleic acid staining solution (Intron Biotechnology, Seongnam, Republic of Korea). The results were photographed using the Omega Fluor™ gel documentation system (Aplegen, Pleasanton, CA, USA).
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Publication 2023
10-thiirane-4-estrene-3,17-dione aerolysin Carbapenems chlormadinol acetate Cholera Toxin Colistin DNA, A-Form Endoribonucleases Erythromycin Genes Gentamicin Hemolysin Integrons Introns Lactams Nucleic Acids Oligonucleotide Primers Phenotype Quinolones Salmonella Sepharose Sterility, Reproductive Strains Streptomycin Sulfonamides Toxins, Biological Trientine Trimethoprim Resistance Vibrio cholerae Virulence Virulence Factors
The 28 selected E. coli isolates from 2018 to 2020 were further tested using polymerase chain reaction (PCR) for the presence of blaTEM, blaSHV, blaCTX-M, mcr-1, qnrA, qnrB, papC, integron, and iss genes.
DNA was extracted from culture broth using a QIAamp DNA Mini Kit (Qiagen, Germany, GmbH Catalogue No. 51304). The extracted DNA was used in subsequent PCR assays for species confirmation and to detect genes responsible for virulence and antimicrobial agent resistance. The polymerase chain reaction was performed in a final volume of 25 μL that contained 12.5 μL of EmeraldAmp MAX PCR Master Mix (EmeraldAmp GT [2× premix], Japan), 1 μL of each primer (20 pmol), 4.5 μL of diethyl pyrocarbonate water, and 6 μL of the DNA template. The reaction was performed in a Biometra thermal cycler, T3000 (Germany). The oligonucleotide primers (Table-1) [39 (link)–45 (link)] were supplied by Metabion, Germany.
Polymerase chain reaction products were separated by electrophoresis [46 ] on a 1% agarose gel (AppliChem, Germany, GmbH) in 1× TBE buffer at room temperature (23°C to 27°C) using a gradient of 5 V/cm. Each well was loaded with 15 μL of the PCR product. A GelPilot 100 bp (Qiagen) ladder was used to determine the fragment sizes. The gel was photographed using a gel documentation system (Biometra BDA digital, Germany), and the data were analyzed using gel documentation (Alpha Innotech, Biometra, Germany) and specific software (automatic image capture software, Protein Simple, formerly Cell Bioscience, USA). The amplification conditions of the primers during PCR are shown in Table-2.
The amplification efficiency was verified for positive field samples that may contain the tested genes, which were previously examined in a Veterinary Quality Control Reference Laboratory for Poultry Production, Animal Health Research Institute, Egypt.
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Publication 2023
Animals Biological Assay Cells Diethyl Pyrocarbonate Drug Resistance, Microbial Electrophoresis Escherichia coli Fingers Fowls, Domestic Genes Integrons Polymerase Chain Reaction Proteins Sepharose Training Programs Tris-borate-EDTA buffer Virulence

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More about "Integrons"

Integrons are genetic elements found in bacteria that play a crucial role in the dissemination of antimicrobial resistance.
These mobile genetic structures can capture and express various genes, often conferring resistance to antibiotics.
They consist of key components: a gene integrase, a recombination site, and a promoter that drives the expression of captured genes.
Integrons are an important target for research and clinical monitoring, as they contribute significantly to the spread of antibiotic resistance.
Researchers studying Integrons may utilize a variety of tools and techniques, such as the QIAquick Gel Extraction Kit for purifying DNA fragments, the CFX96 Real-Time PCR Detection System for quantitative analysis, and the QIAamp DNA Mini Kit or TIANamp Bacteria DNA Kit for extracting high-quality genomic DNA from bacterial samples.
Gel imaging systems and agarose gel electrophoresis are commonly used to visualize and analyze DNA fragments, while the TIANamp Bacterial DNA Kit and QIAquick PCR Purification Kit can be employed for efficient DNA purification.
Ethidium bromide is a commonly used DNA stain, and LA Taq DNA polymerase is a robust enzyme for PCR amplification.
Optimizing research protocols for Integrons is crucial, and PubCompare.ai's AI-driven platform can assist researchers in locating the best protocols from literature, pre-prints, and patents.
The platform's powerful search and comparison tools, along with its AI-driven analysis, can help researchers identify the optimal protocols and products for their Integrons research needs, enhancing the efficiency and effectiveness of their work.