| name | tooluniverse-primer-design |
| description | PCR / qPCR primer and oligo design — design forward/reverse primers for a target region (SantaLucia nearest-neighbor thermodynamics), compute melting temperature (Tm) and annealing temperature (Ta), check GC content, and screen an oligo for hairpins and primer-dimers. Use when you need primers for a sequence, want to QC an existing primer pair, or need the Tm of an oligo. Covers the primer-design rules (Tm matching, GC clamp, 3'-end, length) and the tools' constraint quirks. |
| disable-model-invocation | true |
PCR / qPCR Primer & Oligo Design
Design primers for a target DNA region, get their Tm/Ta, and QC them for the secondary-structure problems that make a PCR fail.
When to use this
- Design a forward/reverse primer pair to amplify a region of a sequence.
- Compute the Tm / annealing temperature of a primer.
- QC an existing primer pair (GC clamp, 3'-end, hairpins, self/cross dimers, Tm match).
Step 1 — Design a primer pair
tu run DNA_primer_design '{"operation":"primer_design",
"sequence":"ATGGCG...AACGTG", # full template; must be >= target_end + flanking primer room
"target_start":40, "target_end":125,
"tm_target":60, "product_size_min":80, "product_size_max":140}'
Returns forward_primer / reverse_primer (sequence, tm, gc_content, length, position) and product_size. (target_end is clamped to the sequence length, so a too-short template silently shrinks the target — see the constraint quirk below.)
Constraint quirk — read this or it will error. target_start..target_end is the region the amplicon must cover, and the design only succeeds when that span fits inside the product-size window AND good-Tm primers can be placed flanking it. So you need roughly: product_size_min ≤ (target span) ≤ product ≤ product_size_max, with enough flanking sequence on both sides. Common errors and the fix:
- "Target region (N bp) is smaller than product_size_min" → your target is narrower than
product_size_min; lower product_size_min or widen the target.
- "product does not cover the target / does not span" → the target is too wide for
product_size_max, or runs too close to a sequence end; widen product_size_max or give more flanking sequence.
Step 2 — Get Tm / annealing temperature for specific primers
tu run NEB_Tm_calculate '{"primer_sequence":"CTACCTGAAGAACCTGAG",
"primer_sequence_2":"CTTGATGTCCTCCAGCAT",
"polymerase":"Q5", "primer_concentration":500, "monovalent_salt_mm":50}'
NEB returns Tm for each primer and a recommended annealing temperature (Ta) for the chosen polymerase. IDT_analyze_oligo (sequence, salt/Mg/dNTP/oligo concentrations) adds GC%, molecular weight, and hairpin / self-dimer screening. DNA_calculate_gc_content is a quick GC check.
Tm depends on method + conditions. SantaLucia NN (the design tool), NEB, and IDT use different parameter sets, and Tm shifts with monovalent salt, Mg²⁺, and primer/dNTP concentration. Pick one calculator + condition set and use it for the whole experiment; don't compare a SantaLucia Tm to an IDT Tm. Always state the conditions.
Step 3 — Primer design rules (what "good" looks like)
| Property | Target | Why |
|---|
| Length | 18–24 nt | long enough for specificity, short enough for efficient annealing |
| Tm | 58–62 °C | works with standard cycling; keep the pair within ~2–3 °C of each other |
| ΔTm (forward vs reverse) | < 3 °C (≤5 absolute max) | mismatched Tm → one primer anneals poorly |
| GC content | 40–60 % | balanced stability |
| GC clamp | 1–2 G/C in the last 3 nt of the 3′ end | stabilizes 3′ priming; >3 G/C risks mispriming |
| 3′ end | avoid 3′ complementarity within a pair and within a primer | prevents primer-dimers |
| Runs / repeats | avoid ≥4 identical bases in a row and di-nucleotide repeats | reduce slippage / mispriming |
| Annealing temp (Ta) | ~ Tm − 3 to −5 °C (use the polymerase's calculator) | specificity vs yield |
| Amplicon (qPCR) | 70–150 bp | efficient amplification |
scripts/primer_qc.py checks a primer pair against these rules (GC clamp, 3′ self/cross-complementarity, runs, GC%, length, Wallace/NN Tm, Tm match) and flags problems — use it to QC primers from any source.
Step 4 — Specificity (the tools do NOT do this)
Tm and structure are necessary but not sufficient. A primer can be thermodynamically perfect and still amplify the wrong locus. These tools do not check genome specificity — always BLAST each primer (or use Primer-BLAST) against the target genome and confirm a single intended product before ordering. State this in any recommendation.
Step 5 — Common gotchas
- Forgetting specificity (Step 4) — the #1 cause of a "well-designed" primer failing.
- Mismatched pair Tm — design tries to match, but a hand-picked pair often isn't; check ΔTm.
- 3′ primer-dimers — 3′ complementarity between forward and reverse is the classic dimer;
IDT_analyze_oligo / the QC script flag it.
- Tm method/condition mixing (Step 2).
- Secondary structure in the template (GC-rich/hairpin regions) can block priming even with good primers — consider additives or moving the target.
Honest limitations
- Thermodynamic Tm/structure prediction ≠ empirical performance; validate by gradient PCR.
- No genome-specificity check (Step 4) and no SNP-masking — handle those separately.
Related skills
tooluniverse-sequence-analysis — upstream sequence handling (FASTQ, alignment, coverage).tooluniverse-enzyme-kinetics / tooluniverse-dose-response — other quantitative assay analyses.
