IFI-M · HA Sequential Integration Series

Specimen SS-F-M2-00965 // MULTI-AXIS · IFI-M

HA Sequential Integration Series I-BL-B

Capsicum chinense

Habanero

Tier IHA Sequential Integration Series

Target Trait

1.46×

fold-change

Heat+Astringency sequential pathway fold-change

Technical Specifications

SKU

SS-F-M2-00965

Genomic Edits

6

GC Content

48.5%

Construct Length

3,516 bp

Promoter System

CaMV 35S / Ubiquitin

Expression System

Biolistic transformation

Host Strain

Particle Gun

Receptor Target

TRPV1 + Polyphenol-astringency axis

IFI Score

146

Pathway Edits

  • TRPV1 pathway primary gene cluster overexpression for heat axis activation
  • Polyphenol-astringency axis pathway primary gene cluster overexpression for astringency axis activation
  • Bidirectional promoter system for synchronized H+A dual-axis co-expression
  • Metabolic flux partitioning between IFI-H and IFI-A pathway branches via carbon flow optimization
  • Transcription factor co-binding site engineering for Heat-Astringency combinatorial gene regulation
  • Cross-pathway feedback inhibition circuit removal for H+A simultaneous accumulation

Key Interventions

Dual-receptor co-activation via synchronized TRPV1 and Polyphenol-astringency axis pathway engineeringMetabolic flux partitioning strategy enabling simultaneous heat and astringency accumulation without competing pathway suppressionSequential construct stacking for HA multi-axis integrationBiolistic co-bombardment of multi-axis transgene cassettes for high-copy integration events

IFI Subscale Profile

IFI Profile

IFI-S
—
IFI-U
—
IFI-B
—
IFI-K
—
IFI-C
—
IFI-P
—
IFI-A
—
IFI-F
—

Use Case

Tier I HA dual-axis sequential integration platform for food ingredient applications requiring verified combined heat+astringency sensory character. Suitable for multi-modal flavor architecture, premium ingredient certification, and receptor-confirmed IFI multi-axis profiling.

License

$349 · Tier I License

Includes full construct sequence, CRISPR guide designs, pathway edit specifications, flux balance analysis, and IFI validation data.

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