1. Which Parts of an Illumina Adapter Must Stay Fixed?
A fully adapted Illumina library molecule has the following structure (5' → 3' of the top strand):
Why must P5 and P7 stay unchanged?
P5 and P7 are universal sequences complementary to oligos covalently attached to the flow cell surface. During cluster generation, denatured library molecules hybridize to these surface oligos, initiating bridge amplification (random flow cells) or exclusion amplification (patterned flow cells). These sequences are invariant across all Illumina library preparation kits — TruSeq, Nextera, Illumina DNA Prep, and custom protocols must all preserve P5/P7 exactly.
| Sequence | 5' → 3' | Length | GC% | Approx. Tm |
|---|---|---|---|---|
| P5 | AATGATACGGCGACCACCGAGA | 22 nt | 54.5% | ~67°C |
| P7 | CAAGCAGAAGACGGCATACGAGAT | 24 nt | 50.0% | ~68°C |
Tm values are approximate, calculated at 50 mM NaCl, 0.25 µM oligo using the SantaLucia nearest-neighbor method. Verify exact values with our Tm Calculator.
2. Should You Use TruSeq or Nextera-Style Adapters?
| Feature | TruSeq | Nextera / Illumina DNA Prep |
|---|---|---|
| Fragmentation | Mechanical (sonication) or enzymatic | Tagmentation (Tn5 transposon) |
| Adapter attachment | Ligation to dA-tailed fragments | Transposon inserts partial adapters; indexes added by PCR |
| Adapter structure | Y-shaped (forked) — pre-formed P5/P7 duplex with single-stranded overhang | Mosaic End (ME) sequences — minimal transposon recognition + PCR-added indexes |
| Input DNA | 100 ng – 1 µg | 1–500 ng (protocol-dependent) |
| Hands-on time | ~4 hours | ~1.5 hours |
| Insert size range | User-defined (based on fragmentation) | ~300 bp (default); adjustable by bead ratio |
| Sequencing primer sites | TruSeq Read 1/2 primers | Nextera Read 1/2 primers (different sequences) |
⚠️ Important: Do Not Mix TruSeq and Nextera Libraries on the Same Lane
TruSeq and Nextera libraries use different sequencing primer binding sites. Pooling them on the same flow cell lane requires loading separate sequencing primers, which is not supported on most Illumina instruments. Always process TruSeq and Nextera libraries on separate lanes or runs unless your core facility has a custom primer loading protocol.
3. Which Dual Indexing Strategy Fits Your Run?
Illumina dual indexing uses two barcode sequences (i7 = Index 1, i5 = Index 2) incorporated into the adapters, enabling multiplexing of dozens to hundreds of samples per sequencing run. The choice between combinatorial and unique dual indexing has significant implications for data quality on modern platforms.
When is combinatorial dual indexing still acceptable?
In CDI, a small set of i5 indexes (e.g., 8) is combined with a set of i7 indexes (e.g., 12) to create 8 × 12 = 96 unique combinations. Individual index sequences are reused across samples — uniqueness comes from the pair. This is cost-effective for small multiplexing on non-patterned flow cell platforms (MiSeq, iSeq 100).
When should you use unique dual indexing?
In UDI, each sample receives a globally unique i5+i7 pair that is never reused within the same pool. If index hopping occurs, the resulting barcode combination matches no valid sample and is automatically filtered as "undetermined" by demultiplexing software (BCL Convert, DRAGEN). This reduces cross-contamination from >1% to <0.01%.
| Strategy | Cross-contamination Risk | Platform | Max Samples |
|---|---|---|---|
| Single indexing | High (cannot distinguish hopped reads) | Legacy only | 12-24 |
| Combinatorial dual (CDI) | Moderate (~0.1-2% on ExAmp platforms) | MiSeq, iSeq (non-patterned) | 96 |
| Unique dual (UDI) | Very low (<0.01%) | All platforms; required for NovaSeq/NextSeq | 384 (Set A-D) |
4. How Do You Prevent Index Hopping on Illumina Platforms?
Index hopping (also called index switching or barcode swapping) occurs when index sequences from one library molecule become associated with a different library molecule, causing mis-assignment of sequencing reads to the wrong sample. This is a significant concern on patterned flow cell platforms.
Why does hopping happen on patterned flow cells?
On patterned flow cell instruments (NovaSeq 6000/X, NextSeq 1000/2000), Exclusion Amplification (ExAmp) chemistry pre-loads amplification reagents onto the flow cell with library molecules. During cluster generation, free adapter molecules (from incomplete library molecules, degradation, or excess adapters) can hybridize to growing clusters and become incorporated, transferring their index sequence to an unrelated cluster.
Which mitigations matter most?
| Strategy | Effectiveness | Implementation |
|---|---|---|
| Use UDI indexes | ★★★★★ | Most effective — invalid pairs filtered during demultiplexing |
| Clean up free adapters | ★★★★ | SPRI cleanup (0.8x) before pooling removes adapter dimers and free adapters |
| Minimize adapters in pool | ★★★ | Quantify precisely (qPCR/Qubit), avoid over-loading |
| Fresh pooling | ★★ | Pool libraries immediately before loading; avoid prolonged storage of pools |
5. Which QC Checks Matter Before Ordering Custom Adapters?
Whether using standard Illumina adapters or designing custom ones, thermodynamic validation ensures efficient ligation, proper flow cell binding, and minimal adapter-dimer artifact formation.
Which Tm ranges should adapter regions hit?
| Adapter Region | Target Tm | Rationale |
|---|---|---|
| Y-adapter duplex region | 55-65°C | Stable at room temp for handling; denatures during cluster generation |
| Flow cell binding (P5/P7) | 65-70°C | High Tm ensures stable cluster initiation at 40°C hybridization |
| Sequencing primer binding | 60-65°C | Efficient primer annealing during sequencing-by-synthesis |
| Index sequences (8 bp) | N/A (too short) | Read as part of sequencing; optimize for color balance (≥2 colors per cycle) |
Which structures should force a redesign?
Custom adapter oligos must be evaluated for self-complementarity and hairpin formation. Problematic secondary structures reduce ligation efficiency and can cause adapter-dimers that consume sequencing capacity.
| Structure Type | ΔG Threshold | Risk Level | Action |
|---|---|---|---|
| Hairpin | ΔG > −2 kcal/mol | Safe | Proceed |
| Hairpin | ΔG < −2 kcal/mol | Moderate | Evaluate — may reduce ligation efficiency |
| Self-dimer | ΔG > −6 kcal/mol | Safe | Proceed |
| Self-dimer | ΔG < −9 kcal/mol | High | Redesign — will cause adapter-dimer artifacts |
Validate adapter oligos using our Secondary Structure Predictor for hairpin and self-dimer analysis, and our Tm Calculator to verify duplex stability at your ligation buffer conditions. For batch validation of custom adapter pools, use Batch Sequence QC.
6. What Changed in Illumina Index Kits in 2025-2026?
Illumina has updated its index product line in 2025:
- Rebranding: "IDT for Illumina DNA/RNA UD Indexes" renamed to "Illumina DNA/RNA UD Indexes" — same function, updated branding.
- v3 index sequences: Some index sequences updated to v3 for improved color balance during sequencing — ensures ≥2 colors represented per cycle position across the index read.
- Transition deadline: Last order date for legacy "IDT for Illumina" indexes was January 30, 2025.
- Do not mix: Illumina explicitly states that legacy and new UD index kits should not be combined in the same sequencing run to prevent demultiplexing errors.
The definitive index sequence reference is Illumina's Adapter Sequences Document (#1000000002694), available on the Illumina support page. Always verify your index sequences against this document before library preparation.
7. References
- Illumina. (2025). Illumina Adapter Sequences Document. Document #1000000002694.
- Illumina. (2024). Index Hopping Filter — Understanding and Mitigating Index Cross-Talk. Illumina Technical Note.
- Costello M, et al. (2018). Characterization and remediation of sample index swaps by non-redundant dual indexing on massively parallel sequencing platforms. BMC Genomics, 19:332.doi:10.1186/s12864-018-4703-0
- SantaLucia J Jr. (1998). A unified view of polymer, dumbbell, and oligonucleotide DNA nearest-neighbor thermodynamics. PNAS, 95(4):1460-1465.
- Adey A, et al. (2010). Rapid, low-input, low-bias construction of shotgun fragment libraries by high-density in vitro transposition. Genome Biology, 11:R119.doi:10.1186/gb-2010-11-12-r119