Sequalprep
The SequalPrep is a compact and automated instrument designed for high-throughput sample preparation. It is capable of performing liquid handling tasks such as serial dilution, plate filling, and sample transfer. The SequalPrep is intended to streamline and standardize various sample preparation workflows, improving efficiency and reproducibility in laboratory settings.
Lab products found in correlation
8 protocols using sequalprep
16S rRNA Gene Sequencing Protocol
Targeted DNA Amplification and Sequencing
High-Throughput 16S rDNA Sequencing
Whole Genome Amplification and Sequencing
Soil Microbiome and Plant Biomass Analysis
Soil mineral nitrogen content (nitrate and ammonium) at 22 days was measured by shaking 10 g of soil in 50 ml of KCl for 1 h, decantation for 45 min and analysis of the filtered supernatant with the analyser Global 240 (BPC Biosed, Rome, Italy).
Considering the colonization of the pots by plant root systems, we could hypothesize that the soil was under the influence of the plants in the entire pot. Thus, the soil of each pot was mixed and DNA was extracted from a sample of 280 mg (DNeasy PowerSoil Kit, Qiagen, Venlo, Netherlands).
After ensuring that there was no PCR inhibition, 16S rRNA gene was amplified using the Pro341F/Pro805R couple of primers (targeting Bacteria, Takahashi et al. 2014) (link). A second PCR allowed the barcoding of the samples by hybridization of specific couples of primers on the adapters carried by the Pro341F/Pro805R primers. PCR products were normalized (SequalPrep, ThermoFisher Scientific, Waltham, USA), pooled and sequenced on Illumina MiSeq (Microsynth, Balgach, Switzerland).
Normalized Library Sequencing on MiSeq
Pooled libraries were quantified using a Quant-iT PicoGreen dsDNA assay (Thermo Fisher Scientific), fragment sizes were assessed using an Agilent Bioanalyzer High Sensitivity assay, and libraries were normalized to 2 nM for sequencing. The library was denatured with NaOH and prepared for sequencing according to the protocols described in the Illumina MiSeq Denature and Dilute Libraries Guide and sequenced in a portion of a MiSeq 600 cycle v3 run.
Amplicon Sequencing Protocol for Microbiome Analysis
The fastq data analysis was performed using QIIME277 (link),78 (link). After quality filtering, the DADA2 algorithm79 (link) was used to denoise truncated reads and generate amplicon sequence variants (ASVs). Taxonomic classification80 (link) was based on the SILVA v132 database81 (link) and the obtained feature table and taxonomy file were used for further analysis (Supplementary Table
Amplicon Sequencing for Microbial Analysis
The fastq data analysis was performed using QIIME2 [43] as described previously [44] . After quality filtering, the DADA2 algorithm [45] was used to denoise truncated reads and generate amplicon sequence variants (ASVs). Taxonomic classification [46] was based on the SILVA v132 database [47] and the obtained feature table and taxonomy file were used for further analysis (Supplementary Tab. 4). The overlapping features from negative controls (DNA extraction and PCR negative controls) were manually subtracted or removed from both the bacterial and archaeal dataset. The reads classified as chloroplast and mitochondria were also removed.
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