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Home › Learning centers › Next-generation sequencing › Technical notes › DNA-seq › Detection of low-frequency variants using ThruPLEX Tag-Seq FLEX

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ThruPLEX Tag-seq and DNA-seq FLEX product page ThruPLEX FLEX product information
Bioinformatics guide for UMI data analysis ThruPLEX UMI analysis guide
ThruPLEX FLEX benchmarking tech note Benchmarking ThruPLEX FLEX vs. NEBNext
Tech Note

Highly accurate UMI-based detection of low frequency variants with ThruPLEX Tag-Seq FLEX

Note: The protocols and QC procedures for ThruPLEX HV kits have been updated to accommodate lower inputs and compatibility with the Unique Dual Index Kit sets. While product naming has been revised accordingly (ThruPLEX FLEX), reagent formulations remain unchanged.

Introduction Results Conclusions Methods

Introduction  

The ability to confidently detect low-frequency variants from NGS-based assays has been steadily rising in importance. More than ever, researchers in a wide range of fields are interested in pushing the limits of sensitivity and specificity in variant detection, an area that has previously been limited by sample preparation, amplification artifacts, and sequencing errors. Accurate detection of variants has recently been refined by the incorporation of unique molecular identifiers (UMIs) and unique dual indexes (UDIs) on Illumina platforms. As library preparation has a direct impact on the quality of sequencing results, ThruPLEX Tag-Seq FLEX chemistry has been engineered and optimized to produce highly diverse libraries with reproducible sequencing performance from 1 to 200 ng of input DNA. Its single-tube workflow (Figure 1) is the simplest in the industry and enables the addition of adapters containing UMIs and Illumina-compatible UDIs in three short steps. The sample never leaves the tube, ensuring accurate sample tracking, minimizing handling errors, and preventing loss of valuable samples.

streamlined thruplex hv library workflow

Figure 1. ThruPLEX Tag-Seq FLEX single-tube library preparation workflow. This protocol consists of three simple steps that take place in the same PCR tube or well, thus eliminating the need to purify or transfer the sample material.

The ThruPLEX adapters have been redesigned to include discrete UMIs (Figure 2, left panel). Each pool of adapters contains 144 unique sequence combinations with a Hamming distance above 6. The adapters were carefully balanced to obtain equal representation. The seven base UMIs are located at the beginning of the reads, ensuring easy demultiplexing of the samples to simplify analysis (see Methods for details). The UMIs used to “tag” DNA molecules are then processed to identify consensus sequences and reduce the false-positive variants introduced by amplification or sequencing errors (Figure 2, right panel).

Unique molecular identifier design for error reduction

Figure 2. ThruPLEX Tag-Seq FLEX includes 144 discrete UMIs. This workflow is designed to eliminate the ambiguity in variant calling by reducing the false-positive calls resulting from DNA polymerase and sequencing errors.

Results  

Design of discrete UMIs for optimal performance

The ThruPLEX Tag-Seq FLEX UMI sequences were carefully selected for their high Hamming distance, providing high dissimilarity from each other. Since the UMI sequences are known and distinct from each other, it is possible to correct potential sequencing errors before grouping the reads by UMI family. (See Methods for more details.) The UMI sequences were also selected for their color balance in order to enable high-quality sequencing on Illumina platforms (Figure 3, Panel A). The concentration of each UMI adapter was optimized to produce an even representation of the 144 UMI combinations at every DNA input level. The percentage of each UMI combination was calculated from the total number of reads. As expected, the average representation of a given UMI was 0.7% (100%/144 combinations) and deviated less than 50% of the mean (±0.35%) (Figure 3, Panel B).

UMIs selected for high performance and even distribution

Figure 3. ThruPLEX Tag-Seq FLEX UMI design strategy. Panel A. UMI sequences were selected to ensure high-quality sequencing on Illumina platforms. Panel B. Concentration was optimized to obtain even representation, with DNA inputs of 50 ng (purple) and 5 ng (green) showing the same UMI distribution.

Improved genome coverage

The human genome contains an average of 41% GC content, mostly ranging from 20% to 65%. However, promoter regions are known for their high GC content and their overlap with CpG islands. ThruPLEX Tag-Seq FLEX has been optimized to capture all regions of the genome, enabling high sensitivity in mutation detection, even in extreme GC content regions. To demonstrate this benefit, the system was used to perform low-pass whole-genome sequencing, and Picard’s CollectGCBiasMetrics was used to assess the GC bias. ThruPLEX Tag-Seq FLEX showed a normalized coverage close to the expected theoretical value of 1, even at AT- and GC-rich windows (Figure 4).

consistent results without GC bias, from varying input amounts

Figure 4. Low GC bias across the human genome. Libraries were prepared from 5 ng and 50 ng of sheared human genomic DNA (Horizon Discovery Quantitative Multiplex Reference Standard, Cat. # HD701) using ThruPLEX Tag-Seq FLEX. Libraries were sequenced on an Illumina MiSeq® instrument, and reads were aligned to the human genome (HG19) using bowtie2. The alignment metrics and GC bias were calculated using Picard tools.

Reliable detection of variants

Enrichment of regions of interest within the human genome is essential for the detection of low-frequency variants at an affordable cost. Additionally, multiple samples can be processed together in a single enrichment and multiplexed on a sequencer. To test the ability of ThruPLEX Tag-Seq FLEX to detect low-frequency variants, replicate libraries were produced from reference DNA presenting characterized variants inside cancer-related genes at known allele frequencies. Cancer-related genes were enriched using an IDT xGEN Pan Cancer Panel. The panel targets 800 kb of the human genome—more specifically, 127 genes frequently mutated in solid tumors, including KRAS, EGFR, and others. The variants were identified from the aligned BAM files before deduplication, based on the read pair start and end coordinates, and by using the UMI consensus reads (see Methods for details). As depicted in Table 1, the average coverage of the targeted regions from the reads deduplicated by coordinates or by UMI consensus was similar and concordant with the PCR duplication reported by Picard MarkedDuplicates. It is also important to note that the UMI representation was unaffected by the hybridization capture process, showing the unbiased ligation of the adapters (Figure 5).

Input (HD701) Total reads % reads mapped to human genome % reads on or near baits % duplicate reads Average target coverage before deduplication Average target coverage after deduplication by coordinates Average target coverage after UMI collapse
50 ng 20M 98% 50% 17% 1,172 835 216
5 ng 20M 98% 90% 83% 2,095 235 220

Table 1. Hybridization metrics. Libraries were prepared in duplicate from 5 ng and 50 ng of sheared human genomic DNA (Horizon Discovery Quantitative Multiplex Reference Standard, Cat. # HD701), using ThruPLEX Tag-Seq FLEX. Libraries were enriched using an xGEN Pan Cancer Panel v1.5 (IDT, Cat. # 1056205) and sequenced on an Illumina NextSeq™ 500. The reads were downsampled to 20M reads then aligned to the human genome (HG19) using bowtie2. The reads were deduplicated using Picard MarkDuplicates or collapsed using fgbio bio tools (see Methods for details). Hybridization metrics were determined using Picard HsMetrics.

hybridization does not affect UMI distribution

Figure 5. UMI representation before and after hybridization capture. The UMI distribution was unaffected by the hybridization capture process.

All characterized variants were determined from the reads corrected using the UMI algorithm at the expected allele frequencies in the replicate libraries processed with HD701, as depicted in Table 2 below. 

Gene Amino acid change Expected allele frequency Observed allele frequency: 50‑ng input (HD701) Observed allele frequency: 5‑ng input (HD701)
ARID1A P1562fs 33.5% 31.0% 31.0% 34.0% 41.0%
EGFR G719S 24.5% 25.0% 25.0% 24.0% 28.0%
PI3KCA H1047R 17.5% 17.0% 15.0% 18.0% 14.0%
KRAS G13D 15.0% 17.0% 12.0% 18.0% 11.0%
BRAF V600E 10.5% 7.0% 7.0% 8.0% 5.0%
PI3KCA E545K 9.0% 5.0% 7.0% 8.0% 7.0%
KRAS G12D 6.0% 4.0% 8.0% 4.0% 5.0%
EGFR L858R 3.0% 1.0% 3.0% 2.0% 1.0%
EGFR T790M 1.0% 0.5% 1.0% 0.3% 0.6%

Table 2. Detection of characterized variants at known allele frequencies. The consensus read sequences were identified using fgbio bio tools (see Methods for details). The variants were called using Vardict and annotated by SnpEff. Only validated substitution variants in the Horizon Discovery Quantitative Multiplex Reference Standard (Cat. # HD701) were reported.

Detection of multiple low-frequency variants from cfDNA surrogates

The sensitivity of the assay was evaluated by calculating the detection rate of low-frequency variants in a reference standard. ThruPLEX Tag-Seq FLEX libraries were generated from 10 ng of Quan-Plex Patient-Like ctDNA Reference Standard (AccuRef) containing a series of characterized mutations occurring at 0%, 1%, and 5%. Cancer-related genes were enriched using an IDT xGEN Pan Cancer Panel. The hybridization resulted in high enrichment of the targets, as ~79% of the reads were on or near targets for 10-ng inputs. As depicted in Table 3, the average coverage of the targeted regions from the reads deduplicated by coordinates or by UMI consensus was similar and concordant with the PCR duplication reported by Picard MarkedDuplicates.

Input (ARF-1003CT) Total reads % reads mapped to human genome % reads on or near baits % PCR duplicate Average target coverage before deduplication Average target coverage after deduplication by coordinates Average target coverage after UMI collapse
0% 30M 99% 79% 71% 2,935 594 506
1% 30M 99% 79% 67% 2,879 694 578
5% 30M 99% 79% 67% 2,899 683 583

Table 3. Hybridization metrics. Libraries were prepared in duplicate from 10 ng of human cell-free DNA surrogate (Accuref Quan-Plex Patient-Like ctDNA Reference Standard; Cat. # ARF-1003CT). The ThruPLEX Tag-Seq FLEX libraries were enriched using the xGEN Pan Cancer Panel v1.5 (IDT, Cat. # 1056205) and sequenced on an Illumina NextSeq 500. The reads were downsampled to 30M reads and then aligned to the human genome (HG19) using bowtie2. The reads were deduplicated using Picard MarkDuplicates or collapsed using fgbio bio tools (see Methods for details). Hybridization metrics were determined using Picard HsMetrics.

Table 4 below displays two replicate measurements of the expected variants at the frequency identified in the reads collapsed using the UMI algorithm detailed in the Methods. The variants were identified around their respective expected allele frequency of 1% or 5%. No variants were detected in the negative control (0%) at the positions of the characterized variants.

Gene Amino acid change Expected allele frequency 0% Expected allele frequency 1% Expected allele frequency 5%
EGFR G719S 0.0% 0.0% 1.4% 1.5% 6.2% 5.9%
EGFR L858R 0.0% 0.0% 1.0% 1.6% 5.5% 6.1%
EGFR L861Q 0.0% 0.0% 0.7% 1.6% 2.2% 2.2%
KRAS G12D 0.0% 0.0% 1.3% 0.5% 4.1% 3.7%
NRAS Q61K 0.0% 0.0% 2.9% 1.9% 6.3% 4.8%
PIK3CA E545K 0.0% 0.0% 0.4% 1.0% 4.2% 6.3%

Table 4. Variants identified using UMI algorithm. Variants were called using Vardict and annotated using SnpEff. Only validated substitution variants in the Quan-Plex Patient-Like ctDNA Reference Standard (Cat. # ARF-1003CT) were reported.

A large number of inconsistent variants with allele frequencies above 0.5% are observed in not deduplicated files or files deduplicated solely by coordinates. However, the number of variants identified in the aligned files generated from the consensus sequences from the UMI correction was reproducibly noticeably lower, demonstrating the power of the UMIs in correcting for amplification and sequencing errors. More specifically, a significant number of variants of low or random allele frequencies were reported in near proximity of the expected EGFR L858R variant in the files not deduplicated or deduplicated by coordinate only. The consensus sequence reads from the UMI collapsing and filtering cleaned up false-positive variants but retained expected variants.

false positive variants are effectively removed

Figure 6. False-positive variants are filtered out when using the fgbio UMI collapsing algorithm. Panel A. The number of variants identified over 0.5% in files deduplicated by coordinates and reads collapsed using UMI algorithm. Panel B. Visualization of the variants above 0.5%.

The low GC bias observed in ThruPLEX Tag-Seq FLEX empowers the even coverage of GC- and AT-rich regions. The 5'UTR of CEBPA is known for its very high GC content overlapping a CpG island. As depicted in Figure 7, the coverage is not affected by the varying GC content from replicate 10-ng DNA inputs.

even coverage of gene known for high GC content

Figure 7. Even coverage of GC-rich regions. Constant read coverage is observed along the CEBPA gene. The BAM files were visualized using the Integrated Genome Viewer (IGV, Broad Institute).

Conclusions  

The ThruPLEX Tag-Seq FLEX kit has been engineered and optimized to generate DNA libraries with high molecular complexity and balanced GC representation from input volumes of up to 30 µl. The entire three-step workflow takes place in a single tube or well, enabling the conservation of valuable samples while ensuring accurate sample tracking. No intermediate purification steps and no sample transfers are necessary, thus preventing handling errors and loss of valuable samples. With the incorporation of unique molecular identifiers, ThruPLEX Tag-Seq FLEX offers added power in correcting for polymerase and sequencing errors—key advantages when detecting low-frequency variants. The UMIs included in the system have been carefully selected for even representation and the best possible performance both in error correction and sequencing results on Illumina platforms.

Methods  

DNA preparation

Horizon Discovery (HD701) reference gDNA was sheared at 250 bp using a Covaris M220. Sheared input material was evaluated for size distribution using an Agilent 2100 BioAnalyzer. The concentration of these samples was measured using a Qubit 2.0 Fluorometer (Thermo Fisher Scientific).

Library preparation and hybridization capture

Libraries were prepared following the ThruPLEX Tag-Seq HV kit user manual. Library size profiles were assessed on the Agilent 2100 BioAnalyzer and quantified using a Qubit 2.0 Fluorometer (Thermo Fisher Scientific). The ThruPLEX Tag-Seq FLEX libraries were sequenced on an Illumina MiSeq for low-pass whole-genome sequencing or enriched by hybridization capture using the xGEN Pan Cancer Panel v1.5 (IDT, Cat. # 1056205) according to the manufacturer's instructions, and then sequenced on an Illumina NextSeq 500.

Data analysis

Illumina adapter trimming was performed using Trimmomatic, and reads were downsampled using setk. The reads were aligned to the human genome assembly HG19 using bowtie2. Duplicates, alignment metrics, insert size, and GC bias were calculated using Picard MarkDuplicates, CollectAlignmentSummaryMetrics, CollectInsertSizeMetrics, and CollectGcBiasMetrics, respectively. Hybridization capture metrics were determined using Picard CollectHsMetrics. Consensus reads based on UMI algorithm were obtained using fgbio tools, and variant calling was performed using Vardict. Additional information can be found here.

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R400734 ThruPLEX® Tag-Seq FLEX 24 Rxns USD $1059.00

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384 This product is protected by U.S. Patents 7,803,550, 8,399,199; 9,598,727, 10,196,686, 10,208,337, and 10,155,942 and corresponding foreign patents. Additional patents are pending. For further license information, please contact a Takara Bio USA licensing representative by email at licensing@takarabio.com.
438 This Product is protected by one or more patents from the family comprising:US10155942, AU2013337280, CA2889862, People's Republic of China Patent: ZL201380069090.3, US10961529, DE602013026292.6, EP2914745, UK2914745, HK1089485, JP6454281 and any corresponding patents, divisionals, continuations, patent application and foreign filings sharing priority with the same family.
448 This product is sold under license from Becton Dickinson and Company and is covered by one or more of the following US Patent Nos. 8,835,358; 9,290,808; 9,290,809; 9,315,857; 9,708,659; 9,816,137; 9,845,502; 10,047,394; 10,059,991; 10,202,646; 10,392,661; 10,619,203; and pending U.S. patent applications 16/551,638 and 16/846,133.

ThruPLEX Tag-Seq FLEX uses a simple, three-step workflow to generate high-complexity DNA libraries with unique molecular tags from standard or challenging samples such as FFPE and cell-free DNA. Unique dual index (UDI) kits are available for purchase separately. This product contains reagents for 24 reactions.

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R400734: ThruPLEX Tag-Seq HV Core Components

R400734: ThruPLEX Tag-Seq HV Core Components
R400735 ThruPLEX® Tag-Seq FLEX 96 Rxns USD $3740.00

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ID Number  
384 This product is protected by U.S. Patents 7,803,550, 8,399,199; 9,598,727, 10,196,686, 10,208,337, and 10,155,942 and corresponding foreign patents. Additional patents are pending. For further license information, please contact a Takara Bio USA licensing representative by email at licensing@takarabio.com.
438 This Product is protected by one or more patents from the family comprising:US10155942, AU2013337280, CA2889862, People's Republic of China Patent: ZL201380069090.3, US10961529, DE602013026292.6, EP2914745, UK2914745, HK1089485, JP6454281 and any corresponding patents, divisionals, continuations, patent application and foreign filings sharing priority with the same family.
448 This product is sold under license from Becton Dickinson and Company and is covered by one or more of the following US Patent Nos. 8,835,358; 9,290,808; 9,290,809; 9,315,857; 9,708,659; 9,816,137; 9,845,502; 10,047,394; 10,059,991; 10,202,646; 10,392,661; 10,619,203; and pending U.S. patent applications 16/551,638 and 16/846,133.

ThruPLEX Tag-Seq FLEX uses a simple, three-step workflow to generate high-complexity DNA libraries with unique molecular tags from standard or challenging samples such as FFPE and cell-free DNA. Unique dual index (UDI) kits are available for purchase separately. This product contains reagents for 96 reactions.

Notice to purchaser

Our products are to be used for Research Use Only. They may not be used for any other purpose, including, but not limited to, use in humans, therapeutic or diagnostic use, or commercial use of any kind. Our products may not be transferred to third parties, resold, modified for resale, or used to manufacture commercial products or to provide a service to third parties without our prior written approval.

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R400735: ThruPLEX Tag-Seq HV Core Components

R400735: ThruPLEX Tag-Seq HV Core Components

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That's GOOD Science!

What does it take to generate good science? Careful planning, dedicated researchers, and the right tools. At Takara Bio, we thoughtfully develop exceptional products to tackle your most challenging research problems, and have an expert team of technical support professionals to help you along the way, all at superior value.

Explore what makes good science possible

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Takara Bio USA, Inc. provides kits, reagents, instruments, and services that help researchers explore questions about gene discovery, regulation, and function. As a member of the Takara Bio Group, Takara Bio USA is part of a company that holds a leadership position in the global market and is committed to improving the human condition through biotechnology. Our mission is to develop high-quality innovative tools and services to accelerate discovery.

FOR RESEARCH USE ONLY. NOT FOR USE IN DIAGNOSTIC PROCEDURES (EXCEPT AS SPECIFICALLY NOTED).

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