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DNA Transposons

DNA Transposons are mobile genetic elements that can move and replicate within a genome.
They play a key role in genomic evolution and can be leveraged for genetic engineering and biotechnology applications.
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Discover the tools and insights needed for accurate, optimized findings on this important class of genetic elements.

Most cited protocols related to «DNA Transposons»

We constructed 43,627 transcript assemblies from about 727 million reads of paired-end Illumina RNA-seq data. These transcript assemblies were constructed using PERTRAN (S.S., unpublished data). We built 47,464 transcript assemblies using PASA52 (link) from 79,630 P. vulgaris Sanger ESTs and the RNA-seq transcript assemblies. Loci were identified by transcript assembly alignments and/or EXONERATE alignments of peptides from Arabidopsis, poplar, Medicago truncatula, grape (Vitis vinifera) and rice (Oryza sativa) peptides to the repeat-soft-masked genome using RepeatMasker53 (link) on the basis of a transposon database developed as part of this project (see URLs) with up to 2,000-bp extension on both ends, unless they extended into another locus on the same strand. Gene models were predicted by the homology-based predictors FGENESH+ (ref. 53 (link)), FGENESH_EST (similar to FGENESH+; EST as splice-site and intron input instead of peptide/translated ORF) and GenomeScan54 (link). The highest scoring predictions for each locus were selected using multiple positive factors, including EST and peptide support, and one negative factor—overlap with repeats. Selected gene predictions were improved by PASA, including by adding UTRs, correcting splicing and adding alternative transcripts. PASA-improved gene model peptides were subjected to peptide homology analysis with the above-mentioned proteomes to obtain Cscore values and peptide coverage. Cscore is the ratio of the peptide BLASTP score to the mutual best hit BLASTP score, and peptide coverage is the highest percentage of peptide aligned to the best homolog. A transcript was selected if its Cscore value was greater than or equal to 0.5 and its peptide coverage was greater than or equal to 0.5 or if it had EST coverage but the proportion of its coding sequence overlapping repeats was less than 20%. For gene models where greater than 20% of the coding sequence overlapped with repeats, the Cscore value was required to be at least 0.9 and homology coverage was required to be at least 70% to be selected. Selected gene models were subjected to Pfam analysis, and gene models whose encoded peptide contained more than 30% Pfam transposon element domains were removed. The final gene set consisted of 27,197 protein-coding genes and 31,638 protein-coding transcripts.
Publication 2014
Arabidopsis DNA Transposons Expressed Sequence Tags Gene Products, Protein Genes Genome Grapes Introns Jumping Genes Medicago truncatula Open Reading Frames Oryza sativa Peptides Populus Proteins Proteome Rice RNA-Seq Untranslated Regions Vitis
Short read libraries were downloaded from the Short Read Archive [39 (link)] (SRX020777, SRX020781-6). Reads from the deep sequencing libraries were first stripped of the 3' adapter sequence using the FASTX toolkit [40 ]. Reads that were less than 13 nucleotides in length or contained an ambiguous nucleotide were discarded. The remaining reads were aligned to the human genome (hg19) by the Bowtie algorithm [41 (link)], with up to two mismatches allowed. Mapped locations were only reported for the optimal mismatch-stratum for each read up to a maximum of ten different locations. All T = > C mismatches between a read and the genomic sequence were subtracted from the mismatch count at each mapped location. Only reads that mapped to a single genomic location with no mismatches after conversion subtraction were used for further analysis. The location that a read mapped to, relative to a known transcript, was determined based on the ENSEMBL database (release 57) [42 (link)]. If a read mapped to a location that could be placed in multiple categories, it was assigned based on the following order of preference: 3' UTR, coding sequence, 5' UTR, miRNA, intron, intergenic. Reads that overlapped by at least a single nucleotide were grouped together to form read groups. The location of a read group relative to known transcripts was determined in the same way as for individual reads. Original clusters and CCRs were obtained from Hafner et al. [7 (link)] and converted to hg19 coordinates using the liftover tool from the UCSC genome browser [43 (link)].
Repetitive sequence regions were identified by RepeatMasker [44 ] and the specific locations were downloaded from the UCSC genome browser [43 (link)]. The following repeat types were collected for this analysis: low complexity repeat family (low complexity), long interspersed nuclear elements (LINE), short interspersed nuclear elements (SINE), DNA transposons (DNA), RNA repeat families (RNA), satellite repeat family (Satellite), rolling circle (RC), unknown repeat family (Unknown), long terminal repeats (LTR) and other repeats (Other).
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Publication 2011
3' Untranslated Regions 5' Untranslated Regions CCR Receptors DNA Transposons Genome Genome, Human Introns Long Interspersed DNA Sequence Elements Long Terminal Repeat MicroRNAs Nucleotides Open Reading Frames Repetitive Region Short Interspersed Nucleotide Elements
The dfoxoΔ94 allele was generated by conventional imprecise excision using P[GT1]foxoBG01018 flies that carry an P[GT1] element transposon in the 5′upstream region of the dfoxo gene, approximately 130 nucleotides upstream of the dfoxo transcriptional start site (Dionne et al., 2006 (link)). The 5′ and 3′ breakpoints of the dfoxoΔ94 deletion were mapped to the genomic sequence by PCR and sequencing. UASp-dFOXO transgenic flies for germline expression of dFOXO were generated using standard procedures. The P[GT1]foxoBG01018, daughterless-GAL4 (da-GAL4), UAS-InRDN (K1409A), UAS-Dp110DN (D954A), eyeless-GAL4 (ey-GAL4), and mata-GAL4 stocks were obtained from the Bloomington Stock Centre. daughterless-GeneSwitch (daGS) was kindly provided by Veronique Monnier (Tricoire et al., 2009 (link)). InsP3-GAL4 was kindly provided by Michael Pankratz (Buch et al., 2008 (link)). All stocks were backcrossed for at least 6 generations into the control whiteDahomey (wDah) stock. wDah was derived by backcrossing white1118 into the outbred wild-type Dahomey background. Flies were raised and maintained on standard sugar/yeast medium (Bass et al., 2007 (link)). Stocks were maintained, and experiments were conducted at 25 °C on a 12:12 hours light/dark cycle at constant humidity.
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Publication 2011
Alleles Animals, Transgenic Bass Carbohydrates Deletion Mutation Diptera DNA Transposons Gene Components Genes Germ Line Humidity Inositol 1,4,5-Trisphosphate Jumping Genes Nucleotides Saccharomyces cerevisiae Transcription Initiation Site
To generate Illumina-compatible sequencing libraries to link random DNA bar codes to transposon insertion sites, we first isolated genomic DNA from cell pellets of the mutant libraries with the DNeasy kit (Qiagen). Genomic DNA was quantified with a Qubit double-stranded DNA (dsDNA) HS (high sensitivity) assay kit (Invitrogen), and 1 µg was fragmented by ultrasonication to an average size of 300 bp with a Covaris S220 focused ultrasonicator. To remove DNA fragments of unwanted size, we performed a double size selection using AMPure XP beads (Beckman Coulter) according to the manufacturer’s instructions. The final fragmented and size-selected genomic DNA was quality assessed with a DNA1000 chip on an Agilent Bioanalyzer. Illumina library preparation involves a cascade of enzymatic reactions, each followed by a cleanup step with AMPure XP beads. Fragmentation generates genomic DNA templates with a mixture of blunt ends and 5′ and 3′ overhangs. End repair, A-tailing, and adapter ligation reactions were performed on the fragmented DNA using the NEBNext DNA Library preparation kit for Illumina (New England Biolabs), according to the manufacturer’s recommended protocols. For the adapter ligation, we used 0.5 µl of a 15 µM double-stranded Y adapter, prepared by annealing Mod2_TS_Univ (ACGCTCTTCCGATC*T) and Mod2_TruSeq (Phos-GATCGGAAGAGCACACGTCTGAACTCCAGTCA). In the preceding oligonucleotides, the asterisk and Phos represent phosphorothioate and 5′ phosphate modifications, respectively. To specifically amplify transposon insertion sites by PCR, we used the transposon-specific primer Nspacer_barseq_pHIMAR (ATGATACGGCGACCACCGAGATCTACACTCTTTCCCTACACGACGCTCTTCCGATCTNNNNNNCGCCCTGCAGGGATGTCCACGAG), which contains a random hexamer and transposon-specific sequence on the 3′ end and an Illumina TruSeq sequence on the 5′ end, and one of 16 primers (see P7_MOD_TS_index primers in Table S2 in the supplemental material) containing the Illumina P7 end. For the transposon-insertion site enriching PCR, we used JumpStart Taq DNA polymerase (Sigma) in a 100-µl total volume with the following PCR program: 94°C for 2 min and 25 cycles of 94°C 30 s, 65°C for 20 s, and 72°C for 30 s, followed by a final extension at 72°C for 10 min. For the E. coli mutant library (KEIO_ML9), we replaced Nspacer_barseq_pHIMAR with Nspacer_barseq_universal (ATGATACGGCGACCACCGAGATCTACACTCTTTCCCTACACGACGCTCTTCCGATCTNNNNNNGATGTCCACGAGGTCT). The final PCR product was purified using AMPure XP beads according to the manufacturer’s instructions, eluted in 25 µl of water, and quantified on an Agilent Bioanalyzer with a DNA1000 chip. For all five mutant libraries, we first sequenced the TnSeq libraries on an Illumina MiSeq to assess the quality of the mutant library. The P. inhibens, P. stutzeri, S. amazonensis, and S. oneidensis TnSeq libraries were paired end sequenced (2 × 150 bp) on an Illumina MiSeq using the MiSeq reagent kit v2 (300 cycles). For KEIO_ML9, we performed single-end sequencing (1 × 150 bp) with the MiSeq reagent kit v3 (150 cycles). Each TnSeq library was also sequenced on either the HiSeq 2000 or HiSeq 2500 system (Illumina) to map a greater fraction of the mutant population.
Publication 2015
Biological Assay Cells DNA, Double-Stranded DNA Chips DNA Library DNA Transposons Enzymes Escherichia coli Genome Genomic Library Hypersensitivity Jumping Genes Ligation Oligonucleotide Primers Oligonucleotides Pellets, Drug Phosphates Taq Polymerase
In addition to the genome sequence, 15 publicly available BAC sequences for common bean were also downloaded from GenBank for a total of 2.2 Mb of sequence, including from accessions DQ205649, DQ323045, FJ817289FJ817291 and GU215957GU215966. Transposon annotation was conducted using different methods according to the sequence structures and transposases of various transposons. To annotate LTR retrotransposons, the genome sequence was screened with LTR_Finder35 (link) using default parameters, except that we set a 50-bp minimum LTR length and 50-bp minimum distance between LTRs. All predicted LTR retrotransposons were manually inspected to eliminate incorrectly predicted sequences, including tandem repeats, nested transposons, incomplete DNA transposons and other sequences. The internal sequences of LTR retrotransposons were used to perform BLASTX and/or BLASTP searches to define superfamilies: Ty1-copia, Ty3-gypsy or other. LINEs (long interspersed elements) were predicted on the basis of the non-LTR retrotransposase and polyA sequences. SINEs (short interspersed elements) were annotated with the polyA structure feature and combined with BLAST searches. To find DNA transposons, conserved domains for transposases from different reported superfamilies were used as queries to search the common bean genome. The matching sequences and flanking sequence (10 kb on each side) were extracted to conduct BLASTN searches to identify complete DNA transposons by terminal inverted repeats (TIRs) and target size duplication (TSD). Furthermore, MITEs-Hunter software36 (link) was also used to identify DNA elements. The annotated transposons and two reported LTR retrotransposons, pva1-118d24-re-5 (FJ402927) and Tpv2-6 (AJ005762), were combined and used as a transposon library to screen the genome using RepeatMasker with default settings except that we used the 'nolow' option to avoid masking low-complexity DNA or simple repeats. Transposons were summarized according to names, subclasses and classes, and overlapping regions in the RepeatMasker output file were counted once (Supplementary Table 9).
To estimate the insertion times of LTR retrotransposons, the 5′ and 3′ LTRs for each full-length LTR retroelement were aligned and used to calculate the nucleotide divergence rate with the Kimura-2 parameter using MEGA 4. The insertion date (T) was estimated with the formula T = K/2r, where K is the average number of substitutions per aligned site and r is an average substitution rate. We used the average substitution rate of 1.3 × 10−8 substitutions per synonymous site per year55 (link) to calibrate the insertion times.
Publication 2014
DNA Library DNA Transposons Genome Gypsies Inverted Terminal Repeat Jumping Genes Long Interspersed DNA Sequence Elements Mites Nucleotides Poly A Retroelements Retrotransposons Short Interspersed Nucleotide Elements Tandem Repeat Sequences Transposase

Most recents protocols related to «DNA Transposons»

We used the Capsella rubella and A.arenosa genomes [30 (link), 49 (link)] to search for the new Transposon+gene element, just like in the A. thaliana genomes. For A. arenosa we used the subgenome of A. suecica. We located the transposon+gene fragments, extracted from the TAIR10 annotation, using NCBI BLAST as above. For A.lyrata two newly assembled genomes were assembled using MinION sequencing.
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Publication 2023
Arabidopsis thalianas Capsella DNA Transposons Gene Components Genes Genome Jumping Genes Rubella
To compare the editability of different genomic elements, including the protein-coding gene related elements (5′-UTR, CDS, intron and 3′-UTR) and the repeat-associated elements (SINE, LINE, LTR, DNA transposon, Helitron, tandem repeat and other unclassified repeat loci), we calculated the A-to-I editing density for each type of genomic element by counting the number of A-to-I editing sites located in this element type, out of the total number of transcribed adenosines (RNA depth ≥ 2X) from this element type. The editing density of each element type was first calculated for each sample of a species separately, then the mean editing density across samples was calculated as the representative value for a species (Figure 2C).
We also calculated the editing-level-weighted editing densities for each element type (Figure 1, Figure 2, Figure 3, Figure 4, Figure 5S3C and S3D). To do so, an editing site with for example an editing level of 0.1, would be regarded as 0.1 editing site instead of 1 editing site, when counting the number of editing sites for an element type. Only editing sites and transcribed adenosines with RNA depth ≥10X were used in the weighted analysis.
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Publication 2023
3' Untranslated Regions 5' Untranslated Regions Adenosine DNA Transposons Gene Products, Protein Genome Components Introns Short Interspersed Nucleotide Elements Tandem Repeat Sequences
Callable sites were defined as genomic sites where SMs could be called with high confidence, based on visualization of the sequencing and assembly data. We previously defined callable sites based on short-read mapping parameters (Ness et al. 2015 (link); López-Cortegano et al. 2021 (link)). Here, we used two criteria based on the de novo genome assemblies of the ancestors and MA lines. First, the ancestor assembly was aligned against itself with minimap2 (“-x asm5”), and genomic regions that were absent in the resulting PAF file (i.e., that were unmapped) were deemed uncallable. This first criterion was used because these regions are essentially unmappable even as isogenic sequences (at least with minimap2) and are hence inaccessible to variant calling. Second, a similar procedure was followed for each MA line by aligning their assemblies to the ancestor genome and extracting unmapped genomic coordinates. The unmapped coordinates extracted from all MA lines per ancestor were then intersected using BEDTools “intersect” (Quinlan and Hall 2010 (link)), and any regions that were present in at least two MA lines were defined as uncallable, because an unmapped region in a single MA line could be an SM such as a large deletion. This second criterion was adopted because these regions are prone to assembly breaks across multiple lines, even though they are assembled in the ancestor references. Taking the output from both criteria, uncallable regions separated by <30 kb were merged. Finally, coordinates corresponding to active cut-and-paste DNA transposons were manually reincluded as callable, because the excisions at these sites could otherwise be classified as uncallable if the same TE was excised in multiple lines. Because the uncallable regions are enriched in tandem repeats (see Supplemental Material; Supplemental Dataset S2; for the example dotplot, see Supplemental Fig. S4), we expect that we may have underestimated the mutation rate of TRMs. However, there was no overrepresentation of other SM types in callable tandem repeats, suggesting that the callable regions of the ancestor assemblies provide near-complete references for detecting most SMs genome-wide.
To compare callable sites between our previous Illumina sequencing and the PacBio sequencing described here, callable site coordinates from Ness et al. (2015) (link) were converted to correspond to our new ancestor assemblies. A whole-genome alignment of the v5 reference assembly and the ancestor assemblies was generated using Cactus (Armstrong et al. 2020 (link)). Coordinates were then lifted over to the relevant ancestor assembly using the HAL tools command halLiftover (Hickey et al. 2013 (link)).
Publication 2023
Cactaceae Deletion Mutation DNA Transposons Genome NES protein, human Paste Tandem Repeat Sequences

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Publication 2023
Bromphenol Blue Buffers DNA Transposons Electrophoresis Gel Shift Analysis Liposomes Phosphates Plasmids Saline Solution Sepharose SERPINF1 protein, human Stains Transposase tris-acetate-EDTA buffer
Live vesicle movement in WT and rgp1-/- transgenic larvae was performed on a Zeiss LSM880 confocal microscope. Embryos obtained from gRNA-generated stable mutant lines crossed to mosaic (Col2a1a:caax-eGFP) adults were injected with a Tol2 construct expressing Col2a1a:mCherry-zRab6a for transient, transposon-mediated DNA integration. Zebrafish larvae at 3 dpf that were grown in PTU were selected for imaging if they expressed caax-eGFP and expressed substantial mCherry-zRab6a in the hyosymplectic cartilage. Larvae were anesthetized in 0.15 mg/mL Tricaine, embedded in 1.2% low-melt agarose (A20070, RPI; Mount Prospect, IL) on glass-bottom confocal dishes, and overlaid with embryo media containing 0.4 mg/mL Tricaine. For time-lapse imaging, larvae were imaged under a 40X/1.1 LD C-Apochromat water-immersion objective. Frame intervals of 300 ms were collected over the course of 300 frames for each sample with 300 ms delay between acquisitions. Individual frames were deconvolved using Airyscan (Zeiss; Jena, Germany). Supplemental Movies 1, 2 are sped up to 100 frames/second for display purposes.
Confocal time-lapse images from live transgenic larvae were analyzed in Imaris 9.7.2 (Oxford Instruments; Abingdon, United Kingdom). Analysis was performed using the automated Spots feature. Spots in the red channel were filtered by their quality and fit to the autoregressive motion-tracking algorithm. Tracks generated over longer than 5 frames were selected for analysis. All tracks collected were measured for track length and mean track speed.
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Publication 2023
Adult Animals, Transgenic Cartilage DNA Transposons Embryo Exanthema Hyperostosis, Diffuse Idiopathic Skeletal Larva Microscopy, Confocal Movement Reading Frames Sepharose Submersion Transients tricaine Zebrafish

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More about "DNA Transposons"

DNA transposons are a fascinating class of genetic elements that have captured the attention of scientists and researchers around the world.
These mobile genetic fragments have the remarkable ability to move and replicate within a genome, playing a crucial role in genomic evolution and unlocking new possibilities for genetic engineering and biotechnology applications.
At the heart of DNA transposon research lies the need for efficient and reproducible methods to identify, study, and leverage these dynamic genetic elements.
This is where tools like the DNeasy Blood and Tissue Kit, Lipofectamine 2000, GenElute Mammalian Genomic DNA Kit, and PureLink Genomic DNA Mini Kit come into play, providing researchers with reliable and streamlined DNA extraction and purification solutions.
To further advance the understanding of DNA transposons, techniques like digital droplet PCR (ddPCR) using the DdPCR Supermix for Probes (NodUTP) master mix and the QX100 droplet reader and device have become invaluable.
The QuantaSoft program enables the accurate quantification and analysis of DNA transposon-related data, empowering researchers to make informed decisions.
Beyond the technical aspects, the PT2A-TRETIBI transposon system has emerged as a powerful tool for genetic manipulation, allowing researchers to precisely insert or remove DNA sequences within a genome.
The DpnI restriction enzyme, on the other hand, plays a crucial role in identifying and studying the integration sites of DNA transposons, further expanding the scope of research in this field.
PubCompare.ai's AI-driven platform is a game-changer in the world of DNA transposon research.
By helping researchers quickly locate and compare protocols from literature, pre-prints, and patents, this innovative tool enables the identification of the most effective and reproduciblee methods, driving research forward with confidence and precision.
With the insights and tools at hand, scientists can unlock the full potential of DNA transposons, paving the way for groundbreaking discoveries and advancements in genetic engineering and biotechnology.