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Essential for the proteolytic cleavage of the transcription factor RIM101 in response to alkaline pH.
KEGG: ago:AGOS_ADR274C
STRING: 33169.AAS52194
Ashbya gossypii is a riboflavin-overproducing filamentous fungus that shares close phylogenetic ties with unicellular yeasts like Saccharomyces cerevisiae. Its completed genome sequence and ease of genetic manipulation make it an excellent model organism for studying filamentous versus yeast growth regulatory networks . The A. gossypii RIM13 (palB homolog) functions as part of the conserved RIM pathway for pH adaptation, similar to mechanisms found in pathogenic fungi like Candida albicans, where morphological switches between yeast and filamentous forms are important for virulence .
RIM13 in A. gossypii functions as a calpain-like cysteine protease that likely processes the RIM101 transcription factor, similar to its homologs in other fungi. As part of the alkaline pH response pathway, RIM13 (annotated as ADR274C in the Ashbya Genome Database) is highly conserved compared to its S. cerevisiae counterpart YMR154C . The protein contains characteristic protease domains and is involved in the cellular response to environmental pH changes, which subsequently affects crucial developmental processes including sporulation .
The RIM101 pathway in A. gossypii involves several conserved components including RIM13/ADR274C (the calpain-like protease) and RIM20/AER342C . In this pathway, RIM13 is presumed to proteolytically process the RIM101 transcription factor (encoded by AFR190C in A. gossypii) in response to alkaline pH. The RIM101 protein contains conserved C2H2 zinc finger domains characteristic of this transcription factor family . This pathway is essential for proper sporulation at alkaline pH, as deletion of RIM101 in A. gossypii leads to severely reduced sporulation efficiency at pH 8.0 and above, while having minimal effects at acidic pH (6.5) .
For studying RIM13 function, researchers should culture A. gossypii in Ashbya Full Medium (AFM) containing 1% yeast extract, 1% peptone, and 2% dextrose. For pH-dependent studies, the medium should be buffered with Tris-HCl to specific pH values ranging from 6.5 to 8.5 . For sporulation assays, full media plates supplemented with 1 g/L myo-inositol are recommended. Liquid sporulation assays can be conducted in minimal medium containing 1.7 g/L yeast nitrogen base (without ammonium sulfate and amino acids), 0.69 g/L CSM, 20 g/L glucose, 2 g/L asparagine, and 1 g/L myo-inositol, buffered to pH 8.5 with Tris-HCl .
A. gossypii has well-established PCR-based gene targeting approaches for genetic manipulation . Researchers can employ a versatile toolbox for PCR-based gene targeting that includes markers for selection and various tags for protein visualization or purification . For RIM13 studies, transformants can be selected using G418/geneticin (200 μg/mL) . The efficiency of homologous recombination in A. gossypii facilitates targeted gene deletions, promoter exchanges, and protein tagging, allowing comprehensive functional analysis of RIM13 and its interactions within the RIM pathway .
Assessing RIM13 proteolytic activity requires careful experimental design considering its limited substrate specificity. Based on approaches used for related calpain-like proteases:
Protein expression and purification: Express recombinant RIM13 with appropriate tags (His or GST) in heterologous systems.
Substrate selection: Since calpain-7 (a mammalian ortholog of PalB) shows specificity for certain substrates like domain 1 of calpastatin when fused with the Bro1 domain , design fusion proteins containing potential RIM101 cleavage sites with fluorogenic reporters.
Activity assay conditions: Include appropriate cofactors (likely Ca²⁺), test various pH conditions (pH 7.0-8.5), and monitor proteolytic activity using SDS-PAGE or fluorescence-based assays.
Controls: Include inactive mutants with substitutions in the catalytic triad and test RIM13 activity in the presence of cysteine protease inhibitors.
Analysis: Western blotting with specific antibodies can detect cleavage products to identify precise cutting sites within the substrate .
The connection between RIM13 activity and riboflavin production likely involves several interrelated mechanisms:
pH-dependent regulation: As RIM13 functions in the alkaline pH response pathway, it may indirectly regulate metabolic processes linked to riboflavin synthesis through RIM101-mediated transcriptional regulation.
Succinate dehydrogenase connection: Studies show that succinate dehydrogenase (SDH) activity significantly impacts riboflavin production, with SDH inhibition reducing riboflavin production by up to 78% . The RIM pathway may regulate SDH expression or activity.
Proteostasis influence: Similar to how proteasome inhibitors (like MG-132) reduce riboflavin production by 79% and alter the levels of flavoproteins like SDH , RIM13 may influence protein turnover or maturation affecting riboflavin biosynthetic enzymes.
Experimental approach: To investigate this connection, researchers should combine RIM13 deletion/mutation with metabolic flux analysis, proteomic profiling of riboflavin pathway enzymes, and measurement of key flavin intermediates under varying pH conditions.
For studying RIM13 localization during pH adaptation in A. gossypii:
Fluorescent protein tagging: Use C-terminal tagging with fluorescent proteins (GFP, mCherry) using PCR-based gene targeting . Verify that the fusion protein retains functionality by complementation tests in rim13Δ strains.
Live cell imaging setup: Employ confocal microscopy with temperature-controlled chambers to maintain A. gossypii at optimal growth temperature (30°C).
pH shift experiments: Prepare cells in medium buffered to pH 6.5, then shift to medium buffered to pH 8.5, monitoring localization changes over time (0-120 minutes).
Co-localization studies: Simultaneously tag RIM20 (AER342C) and endosomal markers to track co-localization during pH adaptation.
Quantitative analysis: Measure fluorescence intensity in different cellular compartments over time to track protein redistribution in response to pH changes.
Mutational analysis: Examine how mutations in the MIT domains or C2 domain-like regions affect localization patterns, as these domains are critical for proteolytic activity in related proteins .
The domain structure of RIM13/palB influences substrate specificity through several mechanisms:
Research approaches to study domain-substrate relationships:
Generate domain deletion/substitution constructs to identify which regions determine specificity
Use yeast two-hybrid or pull-down assays to identify domain-specific binding partners
Perform comparative structural modeling with calpain-7 to predict substrate binding pockets
Develop fluorescence resonance energy transfer (FRET) systems with potential substrates to monitor real-time interactions
When implementing CRISPR-Cas9 for RIM13 studies in A. gossypii:
Guide RNA design:
Target sequences with minimal off-target potential across the A. gossypii genome
Avoid regions containing essential catalytic residues if partial function is desired
Design gRNAs targeting both 5' and 3' regions of the gene for complete deletion
Delivery method:
Optimize transformation protocols for multinucleate A. gossypii cells
Consider using AMA1-based autonomously replicating plasmids for transient expression
Homology-directed repair:
Verification of modifications:
Account for the coenocytic nature of A. gossypii when screening transformants
Purify transformants through several rounds of selection to ensure homogeneity
Confirm modifications by sequencing and functional complementation tests
Phenotypic analysis:
Fungal calpain-like proteases show important mechanistic differences compared to classical mammalian calpains:
Activation mechanism:
Substrate recognition:
Regulatory interactions:
Experimental approach for comparison:
Express recombinant versions of various fungal calpain-like proteases
Test against a panel of synthetic substrates under identical conditions
Compare cleavage patterns using mass spectrometry to identify substrate preferences
Perform structural analyses to identify conserved substrate-binding regions
To generate RIM13 deletion mutants in A. gossypii:
PCR-based gene targeting:
Transformation procedure:
Transformant verification:
Phenotypic confirmation:
To quantitatively measure RIM101 processing by RIM13:
Epitope tagging of RIM101:
pH shift experimental setup:
Grow cells in medium buffered to pH 6.5
Shift cells to medium buffered to pH 8.5
Collect samples at various time points (0, 5, 15, 30, 60, 120 minutes)
Processing detection:
Prepare protein extracts with protease inhibitors (except cysteine protease inhibitors)
Perform Western blotting with anti-tag antibodies
Quantify the ratio of processed to unprocessed RIM101 using densitometry
Comparison framework:
Run extracts from wild-type and rim13Δ strains side by side
The rim13Δ strain should show no processing of RIM101
Include a time course to determine processing kinetics
Validation approach:
Express mutant versions of RIM13 with mutations in catalytic residues
These should show reduced or abolished RIM101 processing
To explore the relationship between RIM13 activity and riboflavin production:
Strain construction:
Riboflavin production analysis:
Grow strains in production medium at different pH values
Measure riboflavin production using spectrofluorometric methods
Extract and analyze using HPLC for precise quantification
Enzymatic activity assays:
Proteomics approach:
Metabolic flux analysis:
Use isotope-labeled precursors to trace carbon flow through the riboflavin pathway
Compare metabolic flux patterns between wild-type and rim13Δ strains
Essential controls for in vitro RIM13 proteolysis assays:
Enzymatic controls:
Catalytically inactive RIM13 mutant (mutation in active site cysteine)
Heat-inactivated RIM13 enzyme
Wild-type enzyme with cysteine protease inhibitors (E-64, leupeptin)
Substrate controls:
Unrelated proteins unlikely to be RIM13 substrates
Pre-cleaved substrate to mark exact cleavage products
Mutated substrate with altered predicted cleavage sites
Reaction condition controls:
pH gradient series (pH 5.0-9.0) to determine optimal pH
Calcium dependency assessment (0-10 mM Ca²⁺)
Time course assays (0-24 hours) to establish reaction kinetics
Buffer and environmental controls:
Include all cofactors individually to determine requirements
Test with and without reducing agents (DTT, β-mercaptoethanol)
Include protease inhibitor cocktail minus cysteine protease inhibitors
Validation approaches:
Mass spectrometry to confirm cleavage site identities
N-terminal sequencing of cleavage products
Circular dichroism to ensure proper protein folding of recombinant RIM13
Common challenges and solutions for recombinant RIM13 expression:
| Challenge | Cause | Solution |
|---|---|---|
| Low expression levels | Rare codons in fungal sequence | Optimize codons for expression host; use specialized strains with rare tRNAs |
| Protein insolubility | Improper folding of cysteine-rich domains | Express as fusion with solubility tags (MBP, SUMO); optimize induction temperature (16-18°C) |
| Proteolytic degradation | Self-cleavage or host proteases | Include protease inhibitors; use protease-deficient host strains; express as inactive mutant |
| Lack of activity | Improper folding or missing cofactors | Include potential cofactors in purification buffers; verify proper disulfide bond formation |
| Aggregation | Exposure of hydrophobic regions | Add detergents or stabilizing agents; purify under reducing conditions |
Recommended expression systems:
For full-length RIM13: Insect cells (Sf9, High Five) with baculovirus system
For domain studies: E. coli with specialized solubility tags and chaperone co-expression
For functional studies: Pichia pastoris for proper post-translational modifications
A. gossypii presents unique challenges due to its multinucleate, coenocytic nature:
Heterokaryotic state management:
Protein localization studies:
Use time-lapse microscopy to track protein dynamics in relation to nuclear position
Employ nuclear markers (e.g., Histone-RFP) for co-localization studies
Implement deconvolution algorithms to resolve signals from multiple nuclei
Gene expression analysis:
Use single-nucleus RNA sequencing approaches where possible
Implement microdissection techniques to isolate specific hyphal segments
Account for potential nuclear autonomy in transcriptional responses
Phenotypic analysis:
Focus on terminal phenotypes after multiple generations to ensure complete genotype penetration
Use microscopically-guided single spore isolation for genetic purity
Implement quantitative phenotypic measurements with statistical controls
Transformation strategies:
Use high concentrations of transformation DNA to increase likelihood of reaching all nuclei
Consider targeting autonomously replicating sequences for maintenance in all nuclei
Implement strong selection pressure during vegetative growth cycles
Key considerations for RIM13 site-directed mutagenesis:
Critical residues to target:
Mutation strategy:
Conservative substitutions to maintain protein folding
Structure-guided mutations based on homology models with calpain-7
Alanine-scanning for unbiased functional mapping
Validation approach:
Complementation tests in rim13Δ strains
In vitro proteolytic activity assays with recombinant proteins
Structural analysis to confirm proper folding
Functional readouts:
Controls:
Wild-type RIM13 expression at identical levels
Empty vector controls
Unrelated mutations outside functional domains
High-throughput approaches for RIM13 substrate identification:
Proteome-wide screening:
Synthetic peptide libraries with fluorogenic reporters
Protein microarrays with recombinant A. gossypii proteins
PICS (Proteomic Identification of Cleavage Sites) approach with fungal proteome digests
In vivo substrate trapping:
Biotinylated activity-based probes specific for calpain-like proteases
Expression of catalytically inactive RIM13 mutants to trap substrates
Proximity labeling with TurboID or APEX2 fused to RIM13
Comparative proteomics:
SILAC or TMT labeling to compare proteomes of wild-type and rim13Δ strains
N-terminomics to identify new N-termini generated by RIM13 cleavage
Quantitative analysis of protein stability in the presence/absence of RIM13
Computational prediction:
Machine learning algorithms trained on known calpain substrates
Structural modeling of RIM13-substrate interactions
Molecular dynamics simulations to predict energetically favorable cleavage sites
Unanswered questions about RIM13 evolutionary conservation:
Substrate diversity across species:
Does RIM13 cleave different sets of substrates in filamentous fungi versus yeasts?
How has substrate specificity evolved relative to morphological complexity?
Functional diversification:
Beyond pH adaptation, what additional roles has RIM13 acquired in different fungal lineages?
How does RIM13 function relate to riboflavin overproduction in A. gossypii specifically?
Regulatory mechanisms:
How has regulation of RIM13 activity evolved across fungal species?
Are there lineage-specific cofactors or inhibitors?
Structural adaptation:
How have the MIT and C2-like domains evolved to accommodate different interaction partners?
What structural features determine cleavage specificity differences between species?
Research approach:
Perform complementation studies with RIM13 orthologs from diverse fungi
Conduct comparative biochemical analysis of recombinant RIM13 proteins
Construct chimeric proteins to map species-specific functional domains
Systems biology approaches for RIM13 network integration:
Multi-omics integration:
Combine transcriptomics, proteomics, and metabolomics data from wild-type and rim13Δ strains
Map changes onto known cellular pathways including riboflavin biosynthesis
Identify regulatory nodes connecting pH adaptation to metabolic responses
Network modeling:
Construct protein-protein interaction networks centered on RIM13
Model RIM101 pathway interactions with other cellular processes
Predict synthetic genetic interactions for experimental validation
Temporal dynamics analysis:
Monitor system-wide responses to pH shifts in wild-type and rim13Δ strains
Identify immediate versus delayed consequences of RIM13 activity
Map causality networks for pH adaptation responses
Cross-species comparative analysis:
Compare RIM pathway architecture between filamentous and unicellular fungi
Identify conserved versus species-specific network connections
Relate network differences to morphological and metabolic adaptations
Experimental validation:
Test predicted network interactions using synthetic genetic arrays
Validate key hub proteins through targeted proteomics
Perform conditional RIM13 activation to map rapid system responses