# Mining Genetically Encoded Biosensors from Filamentous Fungi

**Authors:** Shuhui Guo, Shaozheng Song, Zhunzhun Liu, Yunjun Ge, Ye Chen

PMC · DOI: 10.3390/jof12020150 · 2026-02-19

## TL;DR

This review explores the potential of using filamentous fungi to develop new genetically encoded biosensors for real-time monitoring in eukaryotic cells.

## Contribution

The paper systematically examines biosensing systems in filamentous fungi and highlights their potential for biosensor development.

## Key findings

- Filamentous fungi have conserved and specific signaling pathways similar to yeast and mammalian cells.
- Signal recognition receptors and transcription factors in fungi can be used to develop orthogonal biosensors.
- Fungal-based biosensors offer a promising alternative to bacterial biosensors in eukaryotic systems.

## Abstract

Genetically encoded biosensors represent cutting-edge biosensors due to their capabilities in real-time monitoring and precise control in living cells. However, the development of eukaryotic genetically encoded biosensors for new analytes is constrained by the shortage of signal–receptor pairs. Bacterial biosensors have been transferred to eukaryotes to expand the signal detection space, which has achieved remarkable success. However, due to the significant differences between eukaryotic and prokaryotic gene expression systems, optimizing bacterial biosensors has proven challenging. Successful cases indicate that developing orthogonal signal–receptor pairs directly from eukaryotic systems may offer a viable solution. Indeed, the potential of filamentous fungi—a highly diverse group of organisms that share conserved as well as specific signaling and metabolic pathways with yeast and mammalian cells—has been largely overlooked in biosensor development. In this review, we systematically examine biosensing systems in filamentous fungi, summarize their signal recognition receptors, signal transduction pathways, responsive transcription factors, and provide an overview of the biosensors and synthetic tools developed from them. Finally, we highlight the promise and challenges of biosensor development from filamentous fungi and discuss their potential applications.

## Full-text entities

- **Genes:** RPS14B (40S ribosomal protein uS11 RPS14B) [NCBI Gene 853248] {aka CRY2}, PIB2 (Pib2p) [NCBI Gene 852861], RGT2 (glucose sensor) [NCBI Gene 851417], MAC1 (Mac1p) [NCBI Gene 855035] {aka CUA1}, OPI1 (transcriptional regulator OPI1) [NCBI Gene 856366], ZAP1 (Zap1p) [NCBI Gene 853390] {aka ZRG10}, LEU3 (leucine-responsive transcriptional regulator LEU3) [NCBI Gene 851172], SLG1 (Slg1p) [NCBI Gene 854170] {aka HCS77, WSC1}, STE2 (alpha-factor pheromone receptor STE2) [NCBI Gene 850518], GPR1 (Gpr1p) [NCBI Gene 851527], STE3 (Ste3p) [NCBI Gene 853677] {aka DAF2}, TRXF1 (thioredoxin F-type 1) [NCBI Gene 821260] {aka ATF1, thioredoxin F-type 1}, MID2 (Mid2p) [NCBI Gene 851042] {aka KAI1}, RIM101 (alkaline-responsive transcriptional regulator RIM101) [NCBI Gene 856358] {aka RIM1}, YAP1 (DNA-binding transcription factor YAP1) [NCBI Gene 855005] {aka PAR1, PDR4, SNQ3}, SLN1 (histidine kinase) [NCBI Gene 854659] {aka YPD2}, CYR1 (adenylate cyclase) [NCBI Gene 853452] {aka CDC35, FIL1, HSR1, SRA4, TSM0185}, HOG1 (mitogen-activated protein kinase HOG1) [NCBI Gene 850803] {aka SSK3}, GAP1 (amino acid permease GAP1) [NCBI Gene 853912], SKN7 (kinase-regulated stress-responsive transcription factor SKN7) [NCBI Gene 856613] {aka BRY1, POS9}, GAL3 (transcriptional regulator GAL3) [NCBI Gene 851572], SNF3 (glucose sensor) [NCBI Gene 851333], SSY1 (Ssy1p) [NCBI Gene 851738] {aka RAA1, SHR10}, MID1 (Mid1p) [NCBI Gene 855425], NOP1 (rRNA methyltransferase NOP1) [NCBI Gene 851548] {aka LOT3}, CCH1 (calcium channel protein CCH1) [NCBI Gene 853131], MFA1 (mating pheromone a) [NCBI Gene 852072]
- **Diseases:** fungal (MESH:D009181), hypoxic (MESH:D002534), toxicity (MESH:D064420), injury to (MESH:D014947)
- **Chemicals:** glutamate (MESH:D018698), copper (MESH:D003300), retinal (MESH:D012172), flavin (MESH:C024132), calcium (MESH:D002118), galactose (MESH:D005690), ROS (MESH:D017382), pentoses (MESH:D010429), glucose (MESH:D005947), VOCs (MESH:D055549), ethanol (MESH:D000431), Co2+ (MESH:D002245), griseofulvin (MESH:D006118), lovastatin (MESH:D008148), arabinose (MESH:D001089), ergometrine (MESH:D004874), xylose (MESH:D014994), cysteine (MESH:D003545), alpha-IPM (MESH:C005906), amino acid (MESH:D000596), rhamnose (MESH:D012210), carbon (MESH:D002244), proline (MESH:D011392), cGMP (MESH:D006152), DON (MESH:C007262), metal (MESH:D008670), Galpha-GTP (-), methionine (MESH:D008715), H2O2 (MESH:D006861), zinc (MESH:D015032), penicillin (MESH:D010406), O - (MESH:D010100), cyclosporine (MESH:D016572), phosphate (MESH:D010710)
- **Species:** Botrytis cinerea (gray fruit mold, species) [taxon 40559], Beauveria bassiana (species) [taxon 176275], Neurospora crassa (species) [taxon 5141], Aspergillus (genus) [taxon 5052], Deinococcus radiodurans (species) [taxon 1299], Trichoderma reesei (species) [taxon 51453], Mus musculus (house mouse, species) [taxon 10090], Homo sapiens (human, species) [taxon 9606], Saccharomyces cerevisiae (baker's yeast, species) [taxon 4932], Bipolaris maydis (southern corn leaf blight pathogen, species) [taxon 5016], Fusarium graminearum (species) [taxon 5518], Sagamiharavirus PP (species) [taxon 2956385], Fusarium verticillioides (species) [taxon 117187], Arabidopsis thaliana (mouse-ear cress, species) [taxon 3702], crassa [taxon 2510790], Escherichia coli (E. coli, species) [taxon 562]

## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12941744/full.md

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Source: https://tomesphere.com/paper/PMC12941744