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DNA, Bacterial

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Most cited protocols related to «DNA, Bacterial»

The cecal contents bacterial DNA of each sample was extracted using HiPure Stool DNA Kit B (Magen, Shanghai, China) following the manufacturer’s instructions. The DNA extractions were quantified by ultraviolet spectroscopy and amplified using universal primers of 341F (CCTACGGGNGGCWGCAG) and 806R (GGACTACHVGGGTATCTAAT) to target the V3–V4 domain of bacterial 16S rRNA. The amplicons were normalized, pooled, and sequenced on the Illumina GAIIx platform.
The raw Illumina fastq files were quality-filtered, de-multiplexed, and analyzed using quantitative insights into microbial ecology. Sequences with more than one ambiguous nucleotide or within correct barcodes or primers were removed. The Ribosomal Database Project classifier was used to classify tags into different taxonomies against Greengenes Database (version 20101006) with confidence threshold of 0.5. The software Mothur was used to cluster tags of more than 97% identity into operational taxonomic units (OTUs), and then the abundances of OTUs were calculated.
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Publication 2017
Bacteria Cecum DNA, Bacterial Feces Nucleotides Oligonucleotide Primers Ribosomes RNA, Ribosomal, 16S Spectrum Analysis

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Publication 2014
Cell Lines Cloning Vectors coactivator-associated arginine methyltransferase 1 DNA, Bacterial Genome lipofectamine 2000 Oligonucleotide Primers Plasmids Technique, Dilution Topotecan Western Blot
Bacterial genomic DNA was extracted using a rapid procedure described by Pitcher et al[18 (link)]. Plasmid DNA was extracted using GeneAid Hi-Speed Plasmid Mini kit (GeneAid, Taiwan). Standard PCR amplifications were performed with Biotools DNA polymerase (Biotools, Spain). All primers used for PCR were synthesized by 1st Base Singapore and are listed in Additional file
1: Table S1. Electrocompetent cells were prepared from 6 ml overnight bacterial culture according to the procedure described by Choi et al (2005)
[19 (link)]. Electroporation was carried out by placing 100 μl electrocompetent cells and 3 μl plasmid DNA in a sterile cuvette (0.1 cm electrode gap, Bio-Rad) and pulsed at 1.8 V using settings for bacteria in a Bio-Rad MicroPulser.
The plasmid, pwFRT-TelR, was digested with XmaI and the 3.265 kb fragment carrying the tellurite-resistance cassette was isolated and ligated with XmaI-linearized pMo130 to produce the suicide plasmid, pMo130-TelR. The orientation of the tellurite-resistance cassette insert shown in Figure 
1A was ascertained by digesting the plasmid with Xho1 and BamHI which gave a 4.161 kb and a 5.231 kb band. An insertion of the tellurite-resistance cassette into pMo130-TelR in the opposite orientation would have produced two bands of 1.150 kb and 8.242 kb.
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Publication 2013
Bacteria Cells DNA, Bacterial DNA-Directed DNA Polymerase Electroporation Genome Oligonucleotide Primers Place Cells Plasmids Sterility, Reproductive tellurite
Bacterial strains, plasmids, and oligonucleotides used in this study are described in Table 1. E. coli, S. aureus, and S. epidermidis were routinely cultured at 37°C in L broth (1% tryptone, 0.5% yeast extract, 0.5% NaCl), Trypticase soy broth (TSB) (Difco) or brain heart infusion broth (BHI) (Difco). For growth on agar, L broth or brain heart infusion broth was solidified with 1.5% agar, yielding LBA and BHIA, respectively. The following antibiotics and concentrations were used: chloramphenicol (Cm), 10 µg/ml; kanamycin, 50 µg/ml; erythromycin (Em), 25 µg/ml; and carbenicillin, 100 µg/ml (Sigma).
Oligonucleotides and DNA sequencing were purchased from IDT. Restriction enzymes and LigaFAST T4 DNA ligase were purchased from NEB and Promega, respectively. High-fidelity PCR was performed with KOD Hotstart DNA polymerase (Novagen) or Phusion DNA polymerase (Finnzymes) on genomic DNA isolated with the Genelute bacterial genomic DNA kit (Sigma). Plasmids and PCR products were purified using WizardPlus kits (Promega). To isolate plasmid DNA from S. aureus, a 10-ml overnight culture was treated with 100 µg lysostaphin (Ambi Products, New York) in P1 buffer for 30 min at room temperature and then processed as recommended by the manufacturer (GeneJET plamsid miniprep kit; Fermentas).
For colony PCR, a small amount of colonial growth was touched to the side of a PCR tube and microwaved for 5 min at 800 W. The tube was placed on ice, Phire Hotstart II master mix (Finnzymes) was added to the PCR tube, and thermocycling conditions were conducted as recommended by the manufacturer.
Publication 2012
Agar Antibiotics Bacteria Brain Buffers Carbenicillin Chloramphenicol DNA, Bacterial DNA-Directed DNA Polymerase DNA Restriction Enzymes Erythromycin Escherichia coli Genome Heart Kanamycin Lysostaphin Oligonucleotides Plasmids Promega Sodium Chloride Staphylococcus aureus Staphylococcus epidermidis Strains T4 DNA Ligase trypticase-soy broth Yeast, Dried
The information on the genome size and 16S rRNA copy numbers per genome were used to estimate the abundance of bacterial genomes and DNA using the previously generated 454-pyrosequencing dataset that contained partial 16S rRNA sequences of the DNA and cDNA from forest topsoil. The sequences originated from a previous study [15] (link) and represented sequences derived from the litter horizon DNA, litter horizon cDNA, soil DNA and soil cDNA (four replicates each). The amplicons were generated using the primers eub530F/eub1100aR and sequenced from the eub530F primer; in total, 204,826 sequences with a length above 300 bp were obtained [15] (link). Pyrosequencing noise reduction was performed using a Denoiser 0.851 [19] , and chimeric sequences were detected using UCHIME [20] and deleted. Sequences were truncated to 300 bases, clustered at a 97% similarity using CD-HIT [18] (link), and consensus sequences were constructed for OTUs with >2 sequences (or representative sequences of OTUs with <3 sequences). For each OTU consensus sequence, the best database hit (this with the lowest E value) was obtained using BLASTn against GenBank [21] , while the best genome hit was obtained using the BLASTn against the 16S rRNA dataset derived from bacterial genomes (i.e., Dataset S2). The quality of hits was compared between the best database hit and the best genome hit for each sequence considering the percentage of similarity for hits to >90% of the query sequence length. Phylum assignments were also compared for the two best hits.
The best genome hits were used to calculate the relative abundance of 16S rRNA sequences among bacterial phyla in the samples. For the calculation of the relative abundance of bacterial genomes by phyla, the abundance of sequences belonging to each OTU was divided by the count of 16S rRNA sequences per genome of the best genome hit. To obtain the relative abundance of bacterial DNA by phyla, these values were further multiplied by the sizes of the genomes of the best genome hit.
To analyze the efficiency of the above approach for approximating the genome counts and sizes in the environmental samples, the Dataset S2 was processed as follows: a subset was created that contained one genome from each bacterial species. From this subset containing 909 genomes, 100 genomes were randomly selected. From these genomes, 300-bp sequences, starting with the eub530F primer, were generated, and these sequences were searched in the set of the remaining 809 genomes. For each of the 100 selected genomes, the actual genome size and 16S rRNA copy number were compared to the genome size estimates and 16S rRNA copy number estimates obtained (1) as the values of the genomes with the closest hit; (2) as the average values of the bacterial phylum to which the genome belonged; and (3) as a mean of all genomes (i.e., considering equal size and 16S rRNA copy numbers for all genomes). The sets of these estimates were compared.
One-way ANOVA with the Fisher LSD post-hoc test was used to analyze the significant differences among datasets (e.g., 16S rRNA gene copy numbers or the abundance of fungal genomes in soil among phylogenetic groups). Differences of P<0.05 were regarded as statistically significant.
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Publication 2013
Bacteria Chimera Consensus Sequence DNA, Bacterial DNA, Complementary Forests Genome Genome, Bacterial Genome, Fungal neuro-oncological ventral antigen 2, human Oligonucleotide Primers RNA, Ribosomal, 16S

Most recents protocols related to «DNA, Bacterial»

Individuals were grouped as follows. Group 1 (five D. reticulatum fed a lab diet for 7 days); Group 2 (five D. reticulatum fed a lab diet for 14 days); Group 3 (five D. reticulatum fed a lab diet and infected on Day 7 with P. hermaphrodita with feces collected 7 days postinfection—14 days in total); Group 4 (three A. valentianus fed a lab diet for 7 days); Group 5 (three A. valentianus fed a lab diet for 14 days); Group 6 (three A. valentianus infected with P. hermaphrodita with feces collected 7 days postinfection—14 days in total). Feces were collected from each slug for DNA extraction.
DNA was extracted from feces using DNeasy PowerSoil Pro Kit (Qiagen) following the manufacturer's instructions. The presence of bacterial DNA was checked after extractions using PCR amplification of the hypervariable regions of the 16S rRNA gene. This was carried out using the primers 27f (5′‐AGAGTTTGATCMTGGCTCAG‐3′) and 1492r (5′‐TACGGYTACCTTGTTACGACTT‐3′) (Lane, 1991 ) with the following thermocycler conditions: 3 min at 95°C followed by 35 cycles of 15 s at 95°C, 30 s at 55°C, 1.5 min at 72°C, and a final step of 8 min at 72°C. Amplicons were visualized using agarose gel electrophoresis to confirm that PCRs had worked; in all cases, bands of the correct size were present, and no amplification of bacterial DNA could be seen in the extraction negative control or the PCR negative control.
DNA samples were sent for 16S rRNA metagenomic sequencing (Novogene). The V4 hypervariable region of the 16S rRNA gene was amplified using the primers 515F (5′‐GTGCCAGCMGCCGCGGTAA‐3′) and 806R (5′‐GGACTACHVGGGTWTCTAAT‐3′). All PCR reactions were carried out with Phusion® High‐Fidelity PCR Master Mix (New England Biolabs). Sequencing libraries were generated with NEBNext® UltraTM DNA Library Prep Kit for Illumina and quantified via Qubit and Q‐PCR. Libraries were sequenced on an Illumina NovaSeq. 6000 platform to generate 2 × 250 bp paired‐end reads.
Analysis of the raw reads occurred at Novogene using the following method. Paired‐end reads were merged using FLASH (V1.2.7) (Magoč and Salzberg, 2011 (link)). Quality filtering on the raw tags was performed under specific filtering conditions to obtain high‐quality clean tags according to the QIIME (V1.7.0) (Caporaso et al., 2010 (link)). The tags were compared with the reference database (SILVA database) using the UCHIME algorithm (Edgar et al., 2011 (link)) to detect chimera sequences. Detected chimera sequences were then removed to obtain Effective Tags. All Effective Tags were processed by UPARSE software (v7.0.1090) (Edgar, 2013 (link)). Sequences with ≥97% similarity were assigned to the same Operational Taxonomic Units (OTUs).
For each OTU, QIIME (Version 1.7.0) in the Mothur method was performed against the SSU rRNA database of SILVA Database for species annotation at each taxonomic rank (Threshold:0.8~1) (Quast et al., 2012 (link)). MUSCLE (Version 3.8.31) (Edgar, 2004 (link)) was used to obtain the phylogenetic relationship of all OTUs.
OTUs abundance information was normalized using a standard of sequence number corresponding to the sample with the least sequences. OTUs were analyzed for Alpha diversity (Wilcoxon test function) and Beta diversity (AMOVA—Analysis of Molecular Variance) to obtain richness and evenness information in samples. AMOVA was also used to compare the taxonomic compositions of infected and noninfected slugs in weighted PCoA. Analysis of Alpha and Beta diversity were all performed on the normalized data and calculated with QIIME (Version 1.7.0). Significant intragroup variation is detected via MetaStats based on their abundance.
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Publication 2023
Chimera Diet DNA, Bacterial DNA Library Electrophoresis, Agar Gel Feces Gastrointestinal Microbiome Gene Amplification Metagenome Muscle Tissue Oligonucleotide Primers Ribosomal RNA Ribosomal RNA Genes RNA, Ribosomal, 16S Slugs Vision
Between 2013 and 2019, the NRC identified 329 non-duplicate NDM-5-producing E. coli isolates, including 224 isolates of known geographical location, which were obtained from 224 single patients. For these 224 NDM-5-producing E. coli isolates, bacterial cultures were grown overnight in Luria-Bertani (LB) medium (PanReac AppliChem ITW Reagents, Darmstadt, Germany) supplemented with meropenem (2 mg/L). Total genomic DNA from 1 mL bacterial cultures was extracted (Easy-DNA gDNA Purification Kit, Invitrogen, Thermo Fisher Scientific, Schwerte, Germany) and prepared (Nextera XT DNA Library Preparation Kit, Illumina, Eindhoven, the Netherlands) for WGS. Libraries were paired-end sequenced on a HiSeq 1500 (2 × 251 bp) or NextSeq (2 × 151 bp) instrument (Illumina, San Diego, United States) and quality of raw sequence data was checked using FastQC v0.11.9 [25 ]. Mash Distance v2.1 and Mash Screen v2.1 were performed on raw reads for species identification and contamination check, respectively [26 (link),27 (link)]. Reads were de novo assembled using SPAdes v3.10.1 with default parameters in the careful mode [28 (link)]. Quality metrics of assemblies were assessed using QUAST v5.0.2 without a reference sequence [29 (link)]. This dataset also included raw data of two isolates co-harbouring blaNDM-5, which were sequenced as part of a previous study [3 (link)].
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Publication 2023
Bacteria DNA, Bacterial DNA Library Escherichia coli Genome Meropenem Patients
Approximately 5 g of the middle section of the feces was collected and immediately frozen and stored at ‒80°C. The samples were transported on dry ice to Shenzhen Micro Health Gene Technology Co., Ltd. for high-throughput sequencing. MoBio's PowerSoil® DNA Isolation Kit was used to extract bacterial DNA from fecal samples. Amplification of the V3 – V4 region of the 16S rRNA gene in DNA was performed by polymerase chain reaction (PCR). Amplified samples were sequenced using the Illumina MiSeq high-throughput sequencing platform.
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Publication 2023
DNA, Bacterial Dry Ice Feces Freezing Gene Amplification Genes isolation Polymerase Chain Reaction RNA, Ribosomal, 16S Technology, Health Care
Soil samples (separately in two depths, 0–20 cm and 20–40 cm) were taken at six spots in root zone that were 1.5 m away from west side of three trees (in one block) and mixed together as one replication of each treatment on July 19, 2021. The collected samples were then transported to the lab in a box with ice packs, sieved (2 mm) and sent to Majorbio Bio-Pharm Technology Co. Ltd. with dry ice. Total bacterial community genomic DNA was extracted from 0.5 g fresh soil samples of surface (0–20 cm) and subsurface soils (20–40 cm). A pair of primers 338F (5’-ACTCCTACGGGAGGCAGCAG-3′) and 806R (5’-GGACTACHVGGGTWTCTAAT-3′) was used for bacterial 16S rDNA gene amplification in the hypervariable V3-V4 region. The polymerase chain reaction (PCR) was conducted with an ABI GeneAmp® 9,700 PCR thermocycler (ABI, CA, United States), with amplification conditions and PCR reaction mixture that can be found in Sun et al. (2022) (link). PCR products were quantified using Quantus™ Fluorometer (Promega, United States) after purification. Purified amplicons were pooled in equimolar and paired-end sequenced on an Illumina MiSeq PE300 platform (Illumina, San Diego, United States) according to the standard protocols by Majorbio Bio-Pharm Technology Co. Ltd. (Shanghai, China). The obtained gene sequences from Illumina platform are deposited in the National Center for Biotechnology Information (NCBI) Sequence Read Archive with the accession number PRJNA835607.
The sequencing data were trimmed for barcodes and primers. Low-quality reads less than Q20 were removed (Magoč and Salzberg, 2011 (link)). The 18 test samples had a total number of 958,788 effective sequences with an average length of 417 bp. High-quality sequences were clustered into operational taxonomic units (OTUs) with a 97% similarity using UPARSE (1version 7.1). RDP classifier (2version 2.2) was used for comparison of the representative sequence of each OUT to the database Silva (Release1153) with a confidence threshold of 0.7 (Wang et al., 2007 (link)).
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Publication 2023
DNA, Bacterial DNA, Ribosomal DNA Replication Dry Ice Exanthema Genes Genes, Bacterial Oligonucleotide Primers Plant Roots Polymerase Chain Reaction Promega Specimen Collection Trees
Fecal bacterial DNA was extracted using TIANamp Stool DNA Kit (Cat# DP328, TIANGEN Biotech Co. Ltd., China) according to the manufacture’s instruction. The quantity and quality were measured using a Nanodrop (Thermo Scientific, USA). The V3-V4 hypervariable regions of the 16S rRNA were amplified. PCR amplicons were purified and sequenced on the Illumina HiSeq platform (Illumina, San Diego, USA) by Magigene (Magigene Guangzhou, China). The Quantitative Insights into Microbial Ecology 2 (QIIME2, version 2019. 7) platform was used to process the sequencing data. The V3-V4 primers of pair-end fastq format sequence files were trimmed by using cutadapt 3.1 with Python 3.6.9 and imported into QIIME2. The beta diversity was calculated by “qiime diversity beta” command from the rarefied feature-table. The PCoA results were calculated by “qiime diversity pcoa” command and visualized by “qiime emperor plot” command.
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Publication 2023
DNA, Bacterial Feces Oligonucleotide Primers Python RNA, Ribosomal, 16S

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More about "DNA, Bacterial"

Explore the world of DNA and bacterial research with unparalleled reproducibility.
Discover the latest advancements in this field, from cutting-edge technologies like the MiSeq platform to streamlined protocols such as the TIANamp Bacteria DNA Kit and GenElute Bacterial Genomic DNA Kit.
Delve into the intricacies of DNA extraction and quantification with the QIAamp DNA Stool Mini Kit, QIAamp DNA Mini Kit, and Qubit 2.0 Fluorometer.
Uncover the secrets of bacterial genomics with the QIAamp Fast DNA Stool Mini Kit and DNeasy Blood and Tissue Kit.
Measure your samples with precision using the NanoDrop 2000 and NanoDrop spectrophotometers.
Stay ahead of the curve in your DNA and bacterial research with the help of PubCompare.ai, the AI-powered platform that helps you locate the best protocols from literature, preprints, and patents.
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