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Truseq nano dna ht sample preparation kit

Manufactured by Illumina
Sourced in United States

The TruSeq Nano DNA HT Sample Preparation Kit is a library preparation kit designed for high-throughput, low input DNA sequencing. The kit enables the construction of DNA libraries from small amounts of input material, suitable for a variety of downstream applications such as whole-genome sequencing and targeted sequencing.

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71 protocols using truseq nano dna ht sample preparation kit

1

DNA Extraction and Sequencing Protocol

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Genomic DNA was extracted using the DNeasy Tissue & Blood Kit (Generay, China). DNA degradation and contamination were detected by 1% agarose gel electrophoresis and its concentration was measured using the Qbit DNA Assay Kit with a Qbit 2.0 Fluorometer (Life Technologies, Carlsbad, CA). Sequencing libraries were constructed using the TruSeq Nano DNA HT Sample preparation Kit (Illumina, San Diego, CA) following manufacturer’s instructions. The generated libraries, with insert sizes of ∼350 bp, were sequenced using the Illumina HiSeq X Ten system to generate 150-bp paired-end reads at the Beijing Novogene Co., Ltd (Beijing, China). Approximately 1,386.27 Gb of raw data were generated in total. The Q30 ranged from 88.50% to 94.47% and GC content comprised 43.35–47.49% for all samples (supplementary table S1, Supplementary Material online).
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2

Mitogenome Assembly and Annotation of Anthrenus museorum

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After quality assessment, the library was constructed from a pooled DNA sample and sequencing was performed by the Berry Genomics Biotechnology company (Beijing, China). The genomic DNA samples were enzymatically disrupted to fragments of 350 bp in length using TruSeq Nano DNA HT Sample Preparation Kit (Illumina, USA). Next, they were sequenced using Illumina NovaSeq 6000 with 150-bp paired-end reads, and the raw data were processed using NGS QC toolkit (Patel and Jain 2012 (link)) (Supplementary Material, Figure S1). Clean data were de novo assembled using Mitoz v. 2.3 software (Meng et al. 2019 (link)) (Supplementary Material, Figure S2 and S3). Geneious R10 (settings: min overlap identity = 95%, min overlap = 50 bp, max gap size = 20 bp, and max gaps/read = 5%) and MITOS (settings: reference = RefSeq 63 Metazoa, genetic code = 5 invertebrate) were used to annotate assembled mitogenome (Kearse et al. 2012 (link); Bernt et al. 2013 (link)), and corrected by downloading annotation results from mitochondrial genomes of closely related species in GenBank (Altschul et al. 1990 (link)). The annotate complete mitogenome sequence and raw data were submitted to GenBank and Sequence Read Archive, respectively. The mitogenome map of A. museorum was generated by Geneious R10 (Kearse et al. 2012 (link)).
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3

Lotus Genome Resequencing and Population Analysis

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A total of 240 lotus accessions were chosen for genome resequencing and population structure analyses. Sequencing libraries were generated using the TruSeq Nano DNA HT Sample Preparation Kit (Illumina), following the manufacturer’s instructions and were sequenced on the Illumina HiSeq PE150 platform. Low‐quality paired reads were filtered out of the data. The clean reads were mapped to the Asian lotus ‘China Antique’ reference genome using the burrows‐wheeler aligner (bwa) and sorted bam files were obtained using samtools 1.9 (Li & Durbin, 2009 (link); Shi et al., 2020 (link)). sentieon (http://www.sentieon.com) was used to identify the raw SNPs, and only high‐quality SNPs (coverage depth ≥ 4, RMS mapping quality ≥ 20, maf ≥ 0.05, miss ≤ 0.1) were retained for subsequent analysis. SNP annotation was performed using annovar (Wang et al., 2010 (link)). The neighbor‐joining (NJ) method based on the p‐distance using treebest 1.9.2 was used to construct an individual‐based phylogenetic tree that was visualized using mega 6 (Tamura et al., 2013 (link)). gctawas used to carry out principal component analysis (PCA) (Yang et al., 2011 (link)). admixturewas used to perform an unsupervised cluster analysis, with the number of assumed genetic clusters K ranging from 2 to 5 (Alexander et al., 2009 (link)).
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4

Chromatin Immunoprecipitation Sequencing Protocol

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Formaldehyde-fixed cell pellets were snap-frozen in liquid nitrogen and stored at −80 °C before the ChIP assay. Frozen cells were lysed in 120 µl of lysis buffer (50 mM Tris-HCl pH 8.0, 10 mM EDTA, 1% SDS, 1 mM phenyl methane sulfonylfluoride, 20 mg/ml sodium butyrate, proteinase inhibitor cocktail; Sigma), and chromatin was sheared by sonication, using a BioRuptor (Diagenode), to generate 100- to 500-bp DNA fragments. Chromatin was diluted in 1 ml of radioimmunoprecipitation assay (RIPA) buffer and immunoprecipitation was done overnight at 4 °C by incubating 1 µl of H3K27ac antibody (rabbit polyclonal IgG, lot# Gr167929-1, Abcam) pre-coated on 10 µl protein A–coated magnetic beads (Invitrogen). Immunocomplexes were captured and washed, and ChIP DNA was eluted as described previously9 (link). 1 ng of ChIP DNA was PCR amplified for 18–22 cycles using whole-genome amplification (WGA) primers (WGA-SEQX, Sigma) following the manufacturer’s instructions. Approximately 100 ng amplified DNA was used for preparing a standard Illumina sequencing library (TruSeq Nano DNA HT Sample Preparation Kit, Illumina). Libraries were sequenced on the HiSeq2500 Illumina platform to obtain 50-bp single-end reads (TruSeq Rapid Kit, Illumina). Samples that failed quality control steps, as previously described9 (link), were eliminated from further downstream steps and analysis.
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5

Whole-Genome Sequencing Using Illumina Platform

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Whole-genome sequencing was performed by submitting the blood samples to Novogene Corporation. Purified genomic DNA (1.0 μg) was used as input material for the DNA sample preparation. Sequencing libraries were generated using TruSeq Nano DNA HT Sample Preparation kit (Illumina) following the manufacturer’s instructions. Briefly, the DNA sample was fragmented by sonication to a size of 350 bp. The DNA fragments were end-polished, A-tailed, and ligated with the full-length adapter for Illumina sequencing with further PCR amplification. The libraries were sequenced on an Illumina sequencing platform, and paired-end reads were generated.
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6

Whole Genome Sequencing Protocol

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Whole genome sequencing will be done in Illumina HiSeq X sequencers at 30X coverage. 1.0 micrograms of DNA per sample will be used for library preparation. Sequencing libraries will be generated using the Truseq Nano DNA HT sample preparation kit (Illumina, SUA) and idenx codes will be added to each sample. Briefly, the genome will be fragmented by sonication to a size of 350 bp, and the DNA fragments will be end-polished, A-tailed and ligated with full-length adapter for Illumina sequencing with further PCR amplification. Lastly, PCR products will be purified (AMPure XP system) and the libraries analysed for size distribution by Agilent 2100 Bioanalyzer and quantified using real-time PCR.
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7

DNA Extraction and Sequencing for Rind Hardness

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DNA was extracted from fresh leaves using Plant DNAzol according to the manufacturer’s recommendations (VWI science). The H‐pool and L‐pool representing high and low rind hardness samples, respectively, were constructed by mixing 20 high‐hardness and 20 low‐hardness F2 individuals equally. DNA of 150 bp paired‐end reads was generated with an insert size of approximately 350 bp. Sequencing libraries were generated using the Truseq Nano DNA HT Sample preparation Kit (Illumina), and index codes were added to attribute sequences to each sample according to the manufacturer’s recommendations. Then, the libraries were sequenced using the Illumina HiSeq4000 platform.
The quality of the sequencing data was confirmed using FASTQC (Brown et al., 2017). QC standard pipelines were as follows: reads with a high rate of unidentified nucleotides (≥10%) were removed; reads with a high frequency (>50%) of bases having phred quality less than 5 were removed; reads with more than 10 nt aligned to the adapter were removed; and putative PCR duplicates generated by PCR amplification in the library construction process were removed.
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8

Genome Sequencing of Trogossitidae Beetle

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The genome size of T. remus was estimated based on the flow cytometry method described in (He et al. 2016 (link)). More than 500 adults of T. remus were used for genomic DNA extraction by the sodium dodecyl sulfate extraction method (Zhou et al. 1996 (link)). Both PacBio Sequel and Illumina Hiseq Xten platforms were applied to sequence the genome of T. remus. For Illumina sequencing, a 350-bp insert Illumina TruSeq fragment was constructed from the qualified genomic DNA using a Truseq Nano DNA HT Sample preparation Kit, and then sequenced on the Hiseq Xten platform. Raw reads with low-quality bases, adapter sequences, and reads containing poly-N were removed using the Fastp v.0.20.0 (Chen et al. 2018 (link)), and the clean reads were used for subsequent analysis. For long-read sequencing, a SMRT bell library was constructed using the PacBio SMRTbell Express Template Prep Kit 2.0, and then sequenced on one SMRT cell using the PacBio Sequel sequencer. We also generated a paired-end RNA-seq library from pooled adults, and sequenced using the Illumina Hiseq Xten platform.
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9

Comparative Genomics of Siberian Sturgeon Species

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To investigate the evolutionary history and adaptation of S. chuatsi and S. scherzeri, we collected six wild S. chuatsi individuals from Hunan Province, China, six wild S. scherzeri individuals from Guangdong Province, China, and six wild S. scherzeri individuals from Jilin Province, China. Sequencing libraries were constructed using an Illumina TruSeq Nano DNA HT Sample Preparation Kit (Illumina, USA) in accordance with the manufacturer’s protocols. All individuals were whole-genome re-sequenced to an average coverage of 12.5× with 2×150 bp chemistry using the NovaSeq 6000 platform (Illumina, USA).
Low-quality and sequencing adapter-contaminated Illumina reads were filtered and trimmed with Trimmomatic (v0.36) (Bolger et al., 2014 (link)). High-quality PE reads of S. chuatsi and S. scherzeri were aligned to the respective reference sequences using BWA (v0.7.17) with the “mem” function (Li & Durbin, 2009 (link)). PCR duplicates were removed using the MarkDuplicate program in Picard (v2.18.27) (https://broadinstitute.github.io/picard/). SNP variants were identified using the HaplotypeCaller program in the Genome Analysis Toolkit (GATK) (v4.1.0.0). Raw SNP calling datasets were filtered using the VariantFiltration program in GATK (v4.1.0.0) with the parameters “QD<2.0 || QUAL<30.0 || FS>60.0 || MQ<0.0 || MQRankSum<−12.5 || ReadPosRankSum<−8.0 || SOR>3.0”.
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10

High-quality Plant DNA Extraction and Sequencing

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Genomic DNA was extracted from young leaf samples using Plant DNA Mini Kits (Aidlab Biotech, China). 1.0 μg of high-quality DNA per sample was used to prepare the libraries. Sequencing libraries were generated using a Truseq Nano DNA HT Sample Preparation Kit (Illumina, USA) following the manufacturer's recommendations; index codes were added to each sample. The insert size of each library was ~ 350 bp. The quality and quantity of libraries were analyzed using an Agilent 2100 Bioanalyzer instrument and qPCR. Whole-genome paired-end reads were generated using Illumina X ten platforms.
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