IFI-M · AK Sequential Integration Series

Specimen SS-F-M2-07273 // MULTI-AXIS · IFI-M

AK Sequential Integration Series II-AG-A

Vitis vinifera

Grape

Tier IIAK Sequential Integration Series

Target Trait

1.85×

fold-change

Astringency+Kokumi sequential pathway fold-change

Technical Specifications

SKU

SS-F-M2-07273

Genomic Edits

6

GC Content

47.5%

Construct Length

3,583 bp

Promoter System

Tissue-specific 2A11

Expression System

Agrobacterium-mediated T-DNA

Host Strain

EHA105

Receptor Target

Polyphenol-astringency axis + CaSR

IFI Score

185

Pathway Edits

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

Key Interventions

Dual-receptor co-activation via synchronized Polyphenol-astringency axis and CaSR pathway engineeringMetabolic flux partitioning strategy enabling simultaneous astringency and kokumi accumulation without competing pathway suppressionSequential construct stacking for AK multi-axis integrationT-DNA binary vector 2A11 for stable genomic integration of multi-axis construct stack

IFI Subscale Profile

IFI Profile

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

Use Case

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

License

$699 · Tier II License

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

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