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Microbiome Jan 2018Antimicrobial resistance is a major global health challenge. Metagenomics allows analyzing the presence and dynamics of "resistomes" (the ensemble of genes encoding...
BACKGROUND
Antimicrobial resistance is a major global health challenge. Metagenomics allows analyzing the presence and dynamics of "resistomes" (the ensemble of genes encoding antimicrobial resistance in a given microbiome) in disparate microbial ecosystems. However, the low sensitivity and specificity of available metagenomic methods preclude the detection of minority populations (often present below their detection threshold) and/or the identification of allelic variants that differ in the resulting phenotype. Here, we describe a novel strategy that combines targeted metagenomics using last generation in-solution capture platforms, with novel bioinformatics tools to establish a standardized framework that allows both quantitative and qualitative analyses of resistomes.
METHODS
We developed ResCap, a targeted sequence capture platform based on SeqCapEZ (NimbleGene) technology, which includes probes for 8667 canonical resistance genes (7963 antibiotic resistance genes and 704 genes conferring resistance to metals or biocides), and 2517 relaxase genes (plasmid markers) and 78,600 genes homologous to the previous identified targets (47,806 for antibiotics and 30,794 for biocides or metals). Its performance was compared with metagenomic shotgun sequencing (MSS) for 17 fecal samples (9 humans, 8 swine). ResCap significantly improves MSS to detect "gene abundance" (from 2.0 to 83.2%) and "gene diversity" (26 versus 14.9 genes unequivocally detected per sample per million of reads; the number of reads unequivocally mapped increasing up to 300-fold by using ResCap), which were calculated using novel bioinformatic tools. ResCap also facilitated the analysis of novel genes potentially involved in the resistance to antibiotics, metals, biocides, or any combination thereof.
CONCLUSIONS
ResCap, the first targeted sequence capture, specifically developed to analyze resistomes, greatly enhances the sensitivity and specificity of available metagenomic methods and offers the possibility to analyze genes related to the selection and transfer of antimicrobial resistance (biocides, heavy metals, plasmids). The model opens the possibility to study other complex microbial systems in which minority populations play a relevant role.
Topics: Animals; Computational Biology; DNA Probes; Drug Resistance, Microbial; Feces; Genes, Bacterial; Humans; Metagenomics; Swine
PubMed: 29335005
DOI: 10.1186/s40168-017-0387-y -
Nano Letters Jun 2018All-electronic DNA biosensors based on graphene field-effect transistors (GFETs) offer the prospect of simple and cost-effective diagnostics. For GFET sensors based on...
All-electronic DNA biosensors based on graphene field-effect transistors (GFETs) offer the prospect of simple and cost-effective diagnostics. For GFET sensors based on complementary probe DNA, the sensitivity is limited by the binding affinity of the target oligonucleotide, in the nM range for 20 mer targets. We report a ∼20 000× improvement in sensitivity through the use of engineered hairpin probe DNA that allows for target recycling and hybridization chain reaction. This enables detection of 21 mer target DNA at sub-fM concentration and provides superior specificity against single-base mismatched oligomers. The work is based on a scalable fabrication process for biosensor arrays that is suitable for multiplexed detection. This approach overcomes the binding-affinity-dependent sensitivity of nucleic acid biosensors and offers a pathway toward multiplexed and label-free nucleic acid testing with high accuracy and selectivity.
Topics: Biosensing Techniques; DNA; DNA Probes; Equipment Design; Graphite; Nucleic Acid Hybridization; Transistors, Electronic
PubMed: 29768011
DOI: 10.1021/acs.nanolett.8b00572 -
Microbiome Jan 2018Most of our knowledge about the remarkable microbial diversity on Earth comes from sequencing the 16S rRNA gene. The use of next-generation sequencing methods has...
BACKGROUND
Most of our knowledge about the remarkable microbial diversity on Earth comes from sequencing the 16S rRNA gene. The use of next-generation sequencing methods has increased sample number and sequencing depth, but the read length of the most widely used sequencing platforms today is quite short, requiring the researcher to choose a subset of the gene to sequence (typically 16-33% of the total length). Thus, many bacteria may share the same amplified region, and the resolution of profiling is inherently limited. Platforms that offer ultra-long read lengths, whole genome shotgun sequencing approaches, and computational frameworks formerly suggested by us and by others all allow different ways to circumvent this problem yet suffer various shortcomings. There is a need for a simple and low-cost 16S rRNA gene-based profiling approach that harnesses the short read length to provide a much larger coverage of the gene to allow for high resolution, even in harsh conditions of low bacterial biomass and fragmented DNA.
RESULTS
This manuscript suggests Short MUltiple Regions Framework (SMURF), a method to combine sequencing results from different PCR-amplified regions to provide one coherent profiling. The de facto amplicon length is the total length of all amplified regions, thus providing much higher resolution compared to current techniques. Computationally, the method solves a convex optimization problem that allows extremely fast reconstruction and requires only moderate memory. We demonstrate the increase in resolution by in silico simulations and by profiling two mock mixtures and real-world biological samples. Reanalyzing a mock mixture from the Human Microbiome Project achieved about twofold improvement in resolution when combing two independent regions. Using a custom set of six primer pairs spanning about 1200 bp (80%) of the 16S rRNA gene, we were able to achieve ~ 100-fold improvement in resolution compared to a single region, over a mock mixture of common human gut bacterial isolates. Finally, the profiling of a Drosophila melanogaster microbiome using the set of six primer pairs provided a ~ 100-fold increase in resolution and thus enabling efficient downstream analysis.
CONCLUSIONS
SMURF enables the identification of near full-length 16S rRNA gene sequences in microbial communities, having resolution superior compared to current techniques. It may be applied to standard sample preparation protocols with very little modifications. SMURF also paves the way to high-resolution profiling of low-biomass and fragmented DNA, e.g., in the case of formalin-fixed and paraffin-embedded samples, fossil-derived DNA, or DNA exposed to other degrading conditions. The approach is not restricted to combining amplicons of the 16S rRNA gene and may be applied to any set of amplicons, e.g., in multilocus sequence typing (MLST).
Topics: Algorithms; Animals; Bacteria; Computer Simulation; DNA Probes; DNA, Bacterial; Drosophila melanogaster; Microbiota; Phylogeny; Polymerase Chain Reaction; RNA, Ribosomal, 16S; Sequence Analysis, DNA
PubMed: 29373999
DOI: 10.1186/s40168-017-0396-x -
Biosensors Jul 2022Target-induced differences in the electrostatic interactions between methylene blue (MB) and indium tin oxide (ITO) electrode surface was firstly employed to develop a...
Label-Free and Homogeneous Electrochemical Biosensor for Flap Endonuclease 1 Based on the Target-Triggered Difference in Electrostatic Interaction between Molecular Indicators and Electrode Surface.
Target-induced differences in the electrostatic interactions between methylene blue (MB) and indium tin oxide (ITO) electrode surface was firstly employed to develop a homogeneous electrochemical biosensor for flap endonuclease 1 (FEN1) detection. In the absence of FEN1, the positively charged methylene blue (MB) is free in the solution and can diffuse onto the negatively charged ITO electrode surface easily, resulting in an obvious electrochemical signal. Conversely, with the presence of FEN1, a 5'-flap is cleaved from the well-designed flapped dumbbell DNA probe (FDP). The remained DNA fragment forms a closed dumbbell DNA probe to trigger hyperbranched rolling circle amplification (HRCA) reaction, generating plentiful dsDNA sequences. A large amount of MB could be inserted into the produced dsDNA sequences to form MB-dsDNA complexes, which contain a large number of negative charges. Due to the strong electrostatic repulsion between MB-dsDNA complexes and the ITO electrode surface, a significant signal drop occurs. The signal change (Δ) shows a linear relationship with the logarithm of FEN1 concentration from 0.04 to 80.0 U/L with a low detection limit of 0.003 U/L (S/N = 3). This study provides a label-free and homogeneous electrochemical platform for evaluating FEN1 activity.
Topics: Biosensing Techniques; DNA; DNA Probes; Electrochemical Techniques; Electrodes; Flap Endonucleases; Limit of Detection; Methylene Blue; Static Electricity
PubMed: 35884331
DOI: 10.3390/bios12070528 -
Journal of the American Chemical Society Jun 2016Nucleic-acid-based biosensors have enabled rapid and sensitive detection of pathogenic targets; however, these devices often require purified nucleic acids for analysis...
Nucleic-acid-based biosensors have enabled rapid and sensitive detection of pathogenic targets; however, these devices often require purified nucleic acids for analysis since the constituents of complex biological fluids adversely affect sensor performance. This purification step is typically performed outside the device, thereby increasing sample-to-answer time and introducing contaminants. We report a novel approach using a multifunctional matrix, nanoporous gold (np-Au), which enables both detection of specific target sequences in a complex biological sample and their subsequent purification. The np-Au electrodes modified with 26-mer DNA probes (via thiol-gold chemistry) enabled sensitive detection and capture of complementary DNA targets in the presence of complex media (fetal bovine serum) and other interfering DNA fragments in the range of 50-1500 base pairs. Upon capture, the noncomplementary DNA fragments and serum constituents of varying sizes were washed away. Finally, the surface-bound DNA-DNA hybrids were released by electrochemically cleaving the thiol-gold linkage, and the hybrids were iontophoretically eluted from the nanoporous matrix. The optical and electrophoretic characterization of the analytes before and after the detection-purification process revealed that low target DNA concentrations (80 pg/μL) can be successfully detected in complex biological fluids and subsequently released to yield pure hybrids free of polydisperse digested DNA fragments and serum biomolecules. Taken together, this multifunctional platform is expected to enable seamless integration of detection and purification of nucleic acid biomarkers of pathogens and diseases in miniaturized diagnostic devices.
Topics: Animals; Biosensing Techniques; Cattle; DNA; DNA Probes; Electrochemistry; Electrodes; Electrophoresis, Capillary; Gold; Metal Nanoparticles; Nanopores; Nanotechnology; Nucleic Acid Hybridization; Nucleic Acids; Optics and Photonics; Porosity; RNA
PubMed: 27244455
DOI: 10.1021/jacs.6b03563 -
Biosensors Oct 2023This study presents a technique for detecting 3'-5' exonuclease activity through the use of CRISPR/Cas12a. These enzymes, including 3'-5' exonuclease (Exo III), perform...
This study presents a technique for detecting 3'-5' exonuclease activity through the use of CRISPR/Cas12a. These enzymes, including 3'-5' exonuclease (Exo III), perform crucial roles in various cellular processes and are associated with life expectancy. However, imbalances in their expression can increase susceptibility to diseases such as cancer, particularly under prolonged stress. In this study, an activator sequence of CRISPR/Cas12a was constructed on the 5'-end of a hairpin probe (HP), forming a blunt end. When the 3'-end of the HP was hydrolyzed with Exo III activity, the activator sequence of Cas12a was exposed, which led to collateral cleavage of the DNA signal probe and generated a fluorescent signal, allowing sensitive and highly specific Exo III detection. This detection principle relied on the fact that Exo III exclusively cleaves the 3'-end mononucleotide of dsDNA and does not affect ssDNA. Based on this strategy, Exo III activity was successfully assayed at 0.0073 U/mL, demonstrating high sensitivity. In addition, this technique was used to screen candidate inhibitors of Exo III activity.
Topics: CRISPR-Cas Systems; Phosphodiesterase I; Exodeoxyribonucleases; Limit of Detection; DNA; DNA Probes; Biosensing Techniques
PubMed: 37998138
DOI: 10.3390/bios13110963 -
Scientific Reports Apr 2021Rapid tests for active SARS-CoV-2 infections rely on reverse transcription polymerase chain reaction (RT-PCR). RT-PCR uses reverse transcription of RNA into...
Rapid tests for active SARS-CoV-2 infections rely on reverse transcription polymerase chain reaction (RT-PCR). RT-PCR uses reverse transcription of RNA into complementary DNA (cDNA) and amplification of specific DNA (primer and probe) targets using polymerase chain reaction (PCR). The technology makes rapid and specific identification of the virus possible based on sequence homology of nucleic acid sequence and is much faster than tissue culture or animal cell models. However the technique can lose sensitivity over time as the virus evolves and the target sequences diverge from the selective primer sequences. Different primer sequences have been adopted in different geographic regions. As we rely on these existing RT-PCR primers to track and manage the spread of the Coronavirus, it is imperative to understand how SARS-CoV-2 mutations, over time and geographically, diverge from existing primers used today. In this study, we analyze the performance of the SARS-CoV-2 primers in use today by measuring the number of mismatches between primer sequence and genome targets over time and spatially. We find that there is a growing number of mismatches, an increase by 2% per month, as well as a high specificity of virus based on geographic location.
Topics: DNA Primers; DNA Probes; Genome, Viral; Mutation; Reverse Transcriptase Polymerase Chain Reaction; SARS-CoV-2
PubMed: 33903676
DOI: 10.1038/s41598-021-88532-w -
ACS Sensors Feb 2023Identifying grape varieties in wine, related products, and raw materials is of great interest for enology and to ensure its authenticity. However, these matrices'...
Identifying grape varieties in wine, related products, and raw materials is of great interest for enology and to ensure its authenticity. However, these matrices' complexity and low DNA content make this analysis particularly challenging. Integrating DNA analysis with 2D materials, such as graphene, offers an advantageous pathway toward ultrasensitive DNA detection. Here, we show that monolayer graphene provides an optimal test bed for nucleic acid detection with single-base resolution. Graphene's ultrathinness creates a large surface area with quantum confinement in the perpendicular direction that, upon functionalization, provides multiple sites for DNA immobilization and efficient detection. Its highly conjugated electronic structure, high carrier mobility, zero-energy band gap with the associated gating effect, and chemical inertness explain graphene's superior performance. For the first time, we present a DNA-based analytic tool for grapevine varietal discrimination using an integrated portable biosensor based on a monolayer graphene field-effect transistor array. The system comprises a wafer-scale fabricated graphene chip operated under liquid gating and connected to a miniaturized electronic readout. The platform can distinguish closely related grapevine varieties, thanks to specific DNA probes immobilized on the sensor, demonstrating high specificity even for discriminating single-nucleotide polymorphisms, which is hard to achieve with a classical end-point polymerase chain reaction or quantitative polymerase chain reaction. The sensor was operated in ultralow DNA concentrations, with a dynamic range of 1 aM to 0.1 nM and an attomolar detection limit of ∼0.19 aM. The reported biosensor provides a promising way toward developing decentralized analytical tools for tracking wine authenticity at different points of the food value chain, enabling data transmission and contributing to the digitalization of the agro-food industry.
Topics: Graphite; DNA; DNA Probes; Polymerase Chain Reaction; Biosensing Techniques
PubMed: 36657739
DOI: 10.1021/acssensors.2c02090 -
Genomics Jul 2017Polymerase chain reaction (PCR) is one of the most important laboratory techniques used in molecular biology, genetics and molecular diagnostics. The success of a...
Polymerase chain reaction (PCR) is one of the most important laboratory techniques used in molecular biology, genetics and molecular diagnostics. The success of a PCR-based method largely depends on the correct nucleic acid sequence analysis in silico prior to a wet-bench experiment. Here, we report the development of an online Java-based software for virtual PCR on linear or circular DNA templates and multiple primer or probe search from large or small databases. Primer or probe sensitivity and specificity are predicted by searching a database to find sequences with an optimal number of mismatches, similarity and stability. The software determines primer location, orientation, efficiency of binding and calculates primer melting temperatures for standard and degenerate oligonucleotides. The software is suitable for batch file processing, which is essential for automation when working with large amounts of data. The online Java software is available for download at http://primerdigital.com/tools/pcr.html. Accession numbers for the sequences resulting from this study: EU140956 EU177767 EU867815 EU882730 FJ975775-FJ975780 HM481419 HM481420 KC686837-KC686839 KM262797.
Topics: Computer Simulation; DNA Primers; DNA Probes; Polymerase Chain Reaction; Sequence Analysis, DNA; Software
PubMed: 28502701
DOI: 10.1016/j.ygeno.2017.05.005 -
Biophysical Journal Apr 2021Escherichia coli single-strand (ss) DNA binding protein (SSB) is an essential protein that binds ssDNA intermediates formed during genome maintenance. SSB homotetramers...
Escherichia coli single-strand (ss) DNA binding protein (SSB) is an essential protein that binds ssDNA intermediates formed during genome maintenance. SSB homotetramers bind ssDNA in two major modes, differing in occluded site size and cooperativity. The (SSB) mode in which ssDNA wraps, on average, around two subunits is favored at low [NaCl] and high SSB/DNA ratios and displays high unlimited, nearest-neighbor cooperativity forming long protein clusters. The (SSB) mode, in which ssDNA wraps completely around four subunits of the tetramer, is favored at higher [NaCl] (>200 mM) and displays limited low cooperativity. Crystal structures of E. coli SSB and Plasmodium falciparum SSB show ssDNA bound to the SSB subunits (OB folds) with opposite polarities of the sugar phosphate backbones. To investigate whether SSB subunits show a polarity preference for binding ssDNA, we examined EcSSB and PfSSB binding to a series of (dT) constructs in which the backbone polarity was switched in the middle of the DNA by incorporating a reverse-polarity (RP) phosphodiester linkage, either 3'-3' or 5'-5'. We find only minor effects on the DNA binding properties for these RP constructs, although (dT) with a 3'-3' polarity switch shows decreased affinity for EcSSB in the (SSB) mode and lower cooperativity in the (SSB) mode. However, (dT) in which every phosphodiester linkage is reversed does not form a completely wrapped (SSB) mode but, rather, binds EcSSB in the (SSB) mode with little cooperativity. In contrast, PfSSB, which binds ssDNA only in an (SSB) mode and with opposite backbone polarity and different topology, shows little effect of backbone polarity on its DNA binding properties. We present structural models suggesting that strict backbone polarity can be maintained for ssDNA binding to the individual OB folds if there is a change in ssDNA wrapping topology of the RP ssDNA.
Topics: DNA Probes; DNA, Single-Stranded; DNA-Binding Proteins; Escherichia coli; Escherichia coli Proteins; Protein Binding
PubMed: 33636169
DOI: 10.1016/j.bpj.2021.02.025