AgriPrep™ Library Prep Kit
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seqWell AgriPrep™ Library Prep Kit
The seqWell AgriPrep™ Library Prep Kit is a purpose-built NGS library preparation solution for plant, animal, and human low-pass whole genome sequencing and SKIM-sequencing workflows — designed from the ground up for the throughput, simplicity, and cost efficiency that population-scale agrigenomics demands. Powered by seqWell’s one-step ExpressPlex workflow, AgriPrep combines tagmentation and amplification into a single step, with built-in auto-normalisation and early sample pooling, taking you from extracted genomic DNA to sequence-ready libraries in just 100 minutes with only 30 minutes of hands-on time. It is the simplest library prep workflow on the market for its scale — and the numbers back that claim.
AgriPrep supports up to 3,072 unique index combinations, is available in 96-well and bulk reagent formats, and is compatible with 384-well and Echo-compatible plate formats for ultra-high-throughput operations. Its auto-normalisation of both mean insert size and read depth eliminates the need to individually quantify and dilute samples before pooling — reducing labour, reducing consumable use by up to 95%, and reducing sequencing costs by removing the need to over-sequence to bring your lowest-coverage samples up to target depth. As your authorised Australian and New Zealand distributor for seqWell, Decode Science can advise on kit format selection, throughput optimisation, and compatibility with your sequencing platform.
One-Step Workflow — 100 Minutes, 30 Hands-On
Tagmentation and amplification are combined into a single reaction step, followed by auto-normalisation and early pooling. The result is the most streamlined library prep workflow available for low-pass WGS at scale — no polymerase, primers, or barcodes to source separately, all are included in the supplied ready reaction mix. At 100 minutes total and 30 minutes hands-on, AgriPrep removes library prep as a bottleneck for high-throughput genomics programmes.
Auto-Normalisation Eliminates Individual Sample Quantification
AgriPrep's auto-normalisation of mean insert size and read depth across a 20–100 ng input range removes the need to individually quantify and dilute samples before pooling. Across a 24-plex barley gDNA library pool (10–200 ng input), mean insert size CV was 6.9% and read depth CV was 10.5% within the normalisation range — delivering the coverage consistency needed to hit per-sample read depth targets without over-sequencing.
Up to 95% Fewer Consumables and Dramatically Lower Sequencing Costs
Pre-plated reagents, single-step chemistry, early pooling, and sequential reagent addition combine to use fewer than two pipette tips per sample — reducing consumable costs by up to 95% versus standard library prep approaches. Auto-normalisation of read depth further reduces sequencing costs by minimising coverage variance between samples: in a head-to-head comparison, AgriPrep required 5× less sequencing than a non-normalising prep to bring all samples to ≥100,000 reads from a pool with variable DNA inputs.
Scalable to 3,072 Indexes Across 384-Well and Echo-Compatible Formats
Up to 1,536 unique index combinations are available off-the-shelf, with up to 3,072 available via custom ordering. AgriPrep is automation-friendly and compatible with 384-well plate and Echo-compatible plate formats for ultra-high-throughput operations — making it practical for population genomics, genomic selection programmes, and large-scale agrigenomics studies where per-sample cost and throughput are the primary operational constraints.
Chris Wicky
Clinical Sales Manager - ANZ Country Manager - NZ
Running low-pass WGS or SKIM-sequencing at scale and want to know if AgriPrep fits?
Our team can help you assess throughput requirements, index combinations, and format compatibility for your programme.
Product Data: Performance at Scale
Auto-Normalisation Delivers Consistent Coverage Across Variable Inputs
A 24-plex library pool prepared from 10–200 ng barley gDNA and sequenced on an Illumina MiSeq i100 demonstrated consistent performance across the full working range. Within the 20–100 ng normalisation range, mean insert size CV was 6.9% and read depth CV was 10.5% — confirming that AgriPrep’s auto-normalisation reliably equalises coverage across samples with variable starting inputs.
80% Reduction in Required Sequencing Versus Non-Normalising Methods
In a direct comparison using 8 samples with variable DNA inputs (20–100 ng), AgriPrep with auto-normalisation achieved ≥100,000 reads per sample in a pool sequenced to 1.2 million reads. The non-normalising comparator required 6 million reads — 5× more sequencing — to bring the lowest-represented sample to the same threshold. For large-scale programmes, this difference in sequencing cost is substantial.
Fewer Than 2 Tips Per Sample
Pre-plated reagents and sequential reagent addition reduce consumable use to fewer than 2 pipette tips per sample — a reduction of up to 95% versus standard library prep workflows. At population scale, this translates directly to lower per-sample reagent cost, reduced waste, and faster processing.
Chris Wicky
Clinical Sales Manager - ANZ Country Manager - NZ
Ready to simplify your agrigenomics library prep workflow?
Request a quote or ask about bulk format pricing — our team will respond within one business day.
Why It Matters to You?
Because Population-Scale Genomics Programmes Live or Die on Per-Sample Cost
Low-coverage whole genome sequencing is transforming agrigenomics — enabling genomic selection, genotype-by-sequencing, and population-scale variant discovery at costs that make large cohort studies feasible. But the library prep step has remained a persistent bottleneck: labour-intensive, consumable-heavy, and prone to coverage variance between samples that forces over-sequencing to compensate.
AgriPrep is designed specifically to remove this constraint. It is most relevant for:
Genomic selection and breeding programmes
Large populations of plant or animal samples need to be processed consistently, affordably, and at throughput that matches breeding cycle timelines. AgriPrep’s 100-minute protocol, auto-normalisation, and 3,072-index capacity support exactly this.
Aquaculture and livestock genomics
Validated for high-throughput low-pass WGS in aquaculture applications. AgriPrep’s scalability and simplified workflow make it practical for fisheries and livestock genomics programmes processing hundreds to thousands of samples per run.
Plant genomics and crop science
Validated across plant gDNA inputs including barley, with performance benchmarked against fragmentation-ligation workflows for genomic selection using lpWGS.
Core laboratories and high-throughput sequencing facilities
384-well and Echo-compatible plate format support, automation compatibility, and bulk reagent availability make AgriPrep a practical choice for facilities processing large sample volumes across multiple projects.
AgriPrep Library Prep Kit Includes
Indexing Reaction Plate(s)
Ready Reaction Mix Plate(s)
MAGwise Paramagnetic Beads
PhiRx Indexed Control
Users do not need to supply polymerase, primers, or barcodes. These are contained within the supplied ready reaction mix.
| Primary Applications | Genotyping-by-sequencing (GBS), Low pass sequencing, SKIM-seq |
| Sample Input types | Plant, animal, and human genomic DNA |
| Transposase | TnX – Next generation engineered transposase |
| Kit format |
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| DNA Input | Working range: 10-200 ng Normalization range: 20-100 ng |
| Total Library Prep Time | 100 minutes (30 minutes hands-on time) |
| Indexing Method | Combinatorial Dual Indexing |
| Number of Unique Index Combinations | Up to 1536 (off-the-shelf); up to 3072 via custom ordering |
| Batch Size | 8-96 samples; bulk reagents support 384-well & Echo-compatible plate formats |
Related Products
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MGI DNBSEQ Sequencing Platforms
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FAQs
What applications is AgriPrep optimised for?
AgriPrep is purpose-built for low-coverage whole genome sequencing of plant and animal genomes — including genotyping-by-sequencing (GBS), SKIM-sequencing, and genomic selection programmes. It has not been validated for RNA-seq. Contact Decode Science if you’re considering it for other applications requiring ≤50M clusters, such as microbial WGS.
What is the recommended DNA input range?
The working range is 10–200 ng (2.5–50 ng/µl), using 4 µl of purified DNA per reaction. Auto-normalisation performs optimally within the 20–100 ng range (5–25 ng/µl). Inputs below 2.5 ng/µl are not recommended due to increased risk of failure. If your samples are all above 50 ng/µl, dilute to an average of approximately 10 ng/µl before processing.
Do I need to individually normalise samples before pooling?
No — this is one of AgriPrep’s key advantages. The kit is formulated to tolerate up to a 20-fold difference in sample input (10–200 ng), so individual sample quantification and dilution before pooling is not required. Fluorometric methods such as Qubit or PicoGreen are recommended if quantification is needed.
Are all adapters, indexes, and amplification reagents included?
Yes. AgriPrep includes all indexed adapters, amplification master mix, and amplification primers needed to produce dual-indexed, Illumina-compatible libraries. No separate polymerase, primers, or barcodes are required.
How many samples can I process per run, and how many index combinations are available?
The standard 96-well kit supports 16–96 samples per plate. Up to 1,536 unique index combinations are available off-the-shelf; up to 3,072 via custom ordering. Bulk reagent formats support 384-well and Echo-compatible plate operations for ultra-high-throughput workflows.
Can I save unused reagents if I process fewer than 96 samples?
Yes — provided no DNA or indexing reagents have been added and no incubations have been run. Use a razor blade to cut the plate seal up to the number of wells being processed, peel only those wells, proceed with the protocol, then cover used wells and store remaining reagents at −20°C for future use.
Is AgriPrep compatible with automation?
Yes. AgriPrep is well-suited to automated liquid handling platforms. Note that plate seals are not pierceable — they must be peeled back before automated access. Contact Decode Science for guidance on validated automation methods and available automation guides.
What is the expected library fragment size?
Typically 300–2,000 bp, depending on sample input. If input DNA is shorter than 1,000 bp, the resulting library size distribution will reflect this. Fragments above 1,200 bp do not affect clustering or data quality, but should be accounted for in library quantification — use region analysis on a TapeStation or Fragment Analyser to determine the proportion of sequenceable fragments before calculating loading concentration.
Do I need to spike in PhiRx™ Indexed Control before sequencing?
PhiRx is included with every AgriPrep kit and is strongly recommended. While AgriPrep libraries have highly diverse base composition and don’t strictly require PhiRx for read diversity, a 1–2% spike-in provides a useful internal sequencing control. If sequencing on XLEAP-SBS chemistry or fewer than four plates simultaneously, a 5–10% spike-in is advised to support colour balancing.
What sequencing platforms is AgriPrep compatible with?
AgriPrep libraries are compatible with Illumina iSeq, MiSeq, MiniSeq, NextSeq, HiSeq, and NovaSeq systems, using the same sequencing primers as Nextera® libraries. Note that TruSeq v3 Cluster kit primers are incompatible — the TruSeq Dual Index Sequencing Primer Box is required for older Illumina systems. Many users have also successfully used conversion kits for non-Illumina platforms.
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