KEGG: ago:AGOS_AFL182C
STRING: 33169.AAS53192
Ashbya gossypii is a filamentous ascomycete belonging to the yeast family of Saccharomycetaceae that has gained prominence in both industrial and research settings. This organism generates abundant amounts of riboflavin at the end of its growth phase and has been explored as a host system for recombinant protein production . A. gossypii is particularly valuable for studying eukaryotic transcriptional machinery, including the Mediator complex, due to several advantages:
Its genome has been fully sequenced, providing a comparative genomic model that helped confirm the Whole Genome Duplication in the Saccharomyces lineage
It possesses a highly efficient homologous recombination system that facilitates genetic manipulation
The organism has a versatile research toolkit including different marker genes, regulatable promoters, Cre-lox based marker removal, and recent additions of CRISPR/Cas9 and CRISPR-Cpf1 for multiplex genome editing
It shares significant genetic conservation with Saccharomyces cerevisiae but displays distinct multicellular filamentous growth, offering insights into how the Mediator complex may function in different cellular contexts
While detailed structural comparisons are not provided in the search results, we can analyze the evolutionary context:
| Organism | CSE2 Conservation | Notable Differences | Functional Implications |
|---|---|---|---|
| A. gossypii | Reference protein | Adapted to filamentous growth context | Potentially involved in regulating filamentous-specific genes |
| S. cerevisiae | High homology expected based on genome conservation | Functions in unicellular context | Well-characterized role in transcription regulation |
| Other Eremothecium spp. | Likely highly conserved | May reflect chromosome number variations (8→7→6) | Adaptations to specific ecological niches |
The genomic context is particularly interesting as comparative genomics studies within the genus Eremothecium revealed chromosome number reductions from eight to seven chromosomes in A. gossypii and A. aceri, and from eight to six chromosomes in E. coryli, while E. cymbalariae maintains the ancestral eight chromosomes . These genomic rearrangements may have influenced the regulatory networks involving CSE2, potentially affecting its function in transcriptional regulation.
For recombinant expression of A. gossypii CSE2, researchers should consider a multi-step approach:
Expression System Selection:
For structural studies: E. coli BL21(DE3) with a T7 promoter-based vector
For functional studies: Yeast expression systems (S. cerevisiae or native A. gossypii)
For protein-protein interaction studies: Baculovirus-insect cell system
Optimization Parameters:
Codon optimization based on A. gossypii preferred codon usage
Addition of purification tags (His, GST, or MBP) that minimize interference with protein function
Expression temperature (typically 16-25°C for complex proteins to ensure proper folding)
Induction conditions (IPTG concentration or galactose percentage)
Expression Verification:
Western blot analysis using specific antibodies such as CSB-PA751740XA01DOT (anti-CSE2 polyclonal antibody)
SDS-PAGE for protein size confirmation
When working with A. gossypii as the expression host, researchers should note that the organism has distinct protein secretion characteristics, with most secreted proteins having isoelectric points between 4 and 6, and molecular weights above 25 kDa . This may inform purification strategies if secretion-based production is attempted.
Based on protein characteristics and research objectives, the following purification workflow is recommended:
Primary Capture:
Immobilized Metal Affinity Chromatography (IMAC) for His-tagged CSE2
Glutathione-affinity chromatography for GST-tagged constructs
Amylose resin for MBP-tagged proteins
Secondary Purification:
Ion Exchange Chromatography (IEX) - Given that many A. gossypii proteins have isoelectric points between 4-6 , a cation exchange column at pH below the protein's pI would be effective
Size Exclusion Chromatography (SEC) to separate monomeric CSE2 from aggregates or other contaminants
Advanced Methods (for structural studies):
Affinity purification using engineered binding partners
On-column refolding if inclusion bodies form
Tag removal using specific proteases (TEV, PreScission, etc.)
Quality Control Metrics:
Purity assessment: SDS-PAGE (>95% purity) and Western blot using anti-CSE2 antibody
Activity assessment: DNA-binding assays, transcriptional assays
Integrity verification: Mass spectrometry
For researchers seeking antibody reagents, the commercially available polyclonal CSE2 antibody (CSB-PA751740XA01DOT) raised against recombinant A. gossypii CSE2 protein can be used for detection methods including ELISA and Western blotting .
Designing proper controls is critical for rigorous investigation of CSE2 function:
Genetic Controls:
Complete CSE2 knockout strain (if viable)
Conditional CSE2 knockdown using regulatable promoters
Point mutation variants affecting specific domains
Complementation with S. cerevisiae homologs to assess functional conservation
Tag-only expression constructs to control for tag effects
Experimental Controls:
Wild-type A. gossypii (strain ATCC 10895/CBS 109.51/FGSC 9923/NRRL Y-1056)
Strains expressing unrelated proteins of similar size/characteristics
Time-course sampling to establish baseline expression patterns
Molecular Controls for Interaction Studies:
Known interactors of the Mediator complex as positive controls
Non-interacting proteins as negative controls
Competition assays with purified recombinant proteins
Transcriptional Analysis Controls:
When assessing transcriptional effects of CSE2 manipulation, include controls similar to those used in previous A. gossypii transcriptional studies, which identified differential expression of genes during developmental shifts from growth to sporulation .
The developmental shift from growth to sporulation in A. gossypii affects approximately 860 genes (560 upregulated, 300 downregulated) out of the ~5000 total genes . While CSE2's specific contribution is not directly addressed in the search results, its role as a Mediator complex component suggests involvement in this substantial transcriptional reprogramming.
Potential Regulatory Mechanisms:
CSE2 may interact with key transcription factors that regulate sporulation genes
It could facilitate chromatin remodeling required for developmental transitions
CSE2 might participate in repression complexes that silence growth-related genes during sporulation
Key Regulatory Networks:
The core sporulation regulatory network in A. gossypii involves components conserved with S. cerevisiae, including IME1, IME2, IME4, and KAR4 . These factors likely interact with the Mediator complex, potentially through CSE2, to coordinate gene expression during sporulation.
Experimental Approach:
To investigate CSE2's role in this process, researchers could:
Perform ChIP-seq to identify CSE2 binding sites during different developmental stages
Analyze transcriptomes of CSE2 mutants during sporulation
Conduct epistasis analysis between CSE2 and known sporulation regulators like IME1, IME2, and SOK2
Examine protein-protein interactions between CSE2 and sporulation-specific transcription factors
The intrinsic negative regulators of sporulation identified in A. gossypii, including the α2 repressor and STE12, may interact functionally with CSE2 to fine-tune transcriptional responses .
A. gossypii has been explored as a host system for recombinant protein production , making the relationship between transcriptional regulation (involving CSE2) and secretion stress particularly relevant.
Transcriptional Response to Secretion Stress:
Studies of A. gossypii cells secreting recombinant Endoglucanase I (EGI) identified 21 differentially expressed genes correlated with recombinant protein secretion . The pattern suggested:
Down-regulation of translation
Up-regulation of ion and amino acid transmembrane transport
Potential CSE2 Involvement:
As a Mediator component, CSE2 could participate in:
Sensing secretion stress and relaying signals to the transcriptional machinery
Recruiting transcription factors that regulate stress response genes
Modulating expression of genes involved in protein folding, transport, and quality control
Relevant Gene Expression Data:
This table shows genes differentially expressed during recombinant protein secretion in A. gossypii that may involve CSE2-mediated regulation:
| Regulation | Gene ID | S. cerevisiae Homolog | Function | Biological Process |
|---|---|---|---|---|
| Up-regulated | AAR030W | CTR1 | High-affinity copper transporter | Amino acid transport |
| Up-regulated | ADL123C | PHO4 | Transcription factor | Response to phosphate limitation |
| Up-regulated | ADL153W | RRI2 | COP9 signalosome complex subunit | Protein modification |
| Down-regulated | ABL065W | RPG1 | eIF3 subunit | Regulation of translation |
| Down-regulated | ABL174C | SSB2, SSB1 | Ribosome-associated molecular chaperone | Posttranscriptional regulation |
| Down-regulated | AEL032W | GCN20 | Regulator of Gcn2 kinase | Regulation of protein metabolism |
| Down-regulated | AER366W | FLX1 | FAD transporter | Regulation of translational elongation |
This pattern suggests CSE2 may be involved in coordinating the downregulation of translation machinery during secretion stress .
A. gossypii presents a unique model for studying transcriptional regulation in a multinucleate context, as its hyphae contain multiple nuclei that undergo asynchronous divisions within a shared cytoplasm .
Multinucleate Challenges for Transcriptional Regulation:
Coordinating gene expression across multiple nuclei in a common cytoplasm
Potentially different chromatin states and transcriptional activities between nuclei
Nuclear-specific responses to local environmental signals
Hypothesized CSE2 Adaptations:
Specialized interactions with nuclear transport machinery
Mechanisms to ensure proper stoichiometry of Mediator components
Altered kinetics of assembly/disassembly to accommodate multinucleate context
Comparative Framework:
Research Approach:
To investigate CSE2's multinucleate-specific functions, researchers could:
Use nucleus-specific labeling combined with CSE2 visualization
Compare ChIP-seq profiles across different nuclear populations within the same hypha
Develop mathematical models of transcriptional regulation in multinucleate systems
Recommended Workflow for CSE2 ChIP-seq Analysis:
Quality Control and Preprocessing:
Peak Calling Considerations:
Use narrow peak callers (e.g., MACS2) as CSE2 likely has defined binding sites
Consider the multinucleate nature of A. gossypii when interpreting peak distributions
Employ appropriate controls: input DNA and non-specific antibody pulldowns
Advanced Analysis:
Motif discovery to identify sequence preferences for CSE2 binding
Peak annotation relative to A. gossypii gene models
Integration with RNA-seq data to correlate binding with expression outcomes
Comparative analysis with S. cerevisiae CSE2 binding patterns
Multinucleate-Specific Considerations:
Develop metrics to assess binding heterogeneity across nuclei
Consider spatial clustering of peaks that might reflect nuclear territories
Integrate with nuclear positioning data if available
Validation Approaches:
qPCR validation of selected binding sites
Reporter assays to confirm functional significance
Genetic manipulation of binding sites using CRISPR/Cas9 system available for A. gossypii
When confronted with discrepancies between transcriptomic and proteomic data in CSE2 studies, consider these systematic analysis approaches:
Sources of Discrepancy:
Post-transcriptional regulation (particularly relevant in multinucleate systems)
Protein stability differences
Technical limitations in detection methods
Temporal delays between transcription and translation
Analytical Framework:
| Data Type | Observation | Possible Interpretation | Validation Method |
|---|---|---|---|
| Transcriptome ↑, Proteome — | Gene upregulated but no protein change | Post-transcriptional regulation or delayed translation | Ribosome profiling, mRNA stability assays |
| Transcriptome —, Proteome ↑ | No gene change but protein increased | Protein stability enhancement | Pulse-chase experiments, degradation assays |
| Transcriptome ↓, Proteome ↑ | Gene downregulated but protein increased | Compensation or feedback mechanisms | Focused studies on regulatory elements |
Resolution Strategies:
Perform time-course experiments to capture dynamics
Utilize ribosome profiling to assess translation efficiency
Examine protein half-life and degradation pathways
Consider compartmentalization effects in the multinucleate system
Apply integrated computational approaches that normalize and reconcile multi-omics data
Contextual Considerations:
In A. gossypii, protein secretion studies have shown distinct patterns in the secretome compared to intracellular proteins . This compartmentalization adds another layer of complexity when interpreting transcriptomic versus proteomic data.
Given the complexity of A. gossypii biology and CSE2's likely broad impact as a Mediator component, robust statistical approaches are essential:
Recommended Statistical Methods:
Differential Expression Analysis:
Correlation-Based Approaches:
Multinucleate-Specific Considerations:
Develop statistical frameworks that account for potential heterogeneity between nuclei
Consider spatial statistics if nuclear position data is available
Multiple Testing Correction:
Apply FDR correction methods (Benjamini-Hochberg) with appropriate thresholds
Previous A. gossypii studies used FDR of 4.4% for correlation-based analyses
Biological Validation:
Targeted qPCR of representative genes from each expression cluster
Reporter assays for key regulated promoters
Genetic epistasis tests with other transcriptional regulators
For integrating CSE2 studies with existing knowledge of A. gossypii biology, consider that previous work identified 560 genes upregulated and 300 genes downregulated during the developmental shift from growth to sporulation . The CSE2 contribution to this regulatory network would be a valuable research direction.
When facing challenges with recombinant CSE2 expression, consider these systematic troubleshooting approaches:
Expression Optimization Strategies:
Codon Optimization:
Analyze A. gossypii codon usage bias and optimize for the expression host
Consider synonymous codon substitutions that preserve amino acid sequence but enhance expression
Vector and Construct Design:
Try different promoter strengths (T7, tac, AOX1, GAL1)
Experiment with various fusion tags (His, GST, MBP, SUMO)
Test different vector backbones with varying copy numbers
Include translation enhancers (e.g., Shine-Dalgarno sequences, Kozak consensus)
Host Strain Selection:
For E. coli: BL21(DE3), C41(DE3), SHuffle for disulfide bond formation
For yeast: Protease-deficient strains to minimize degradation
Culture Conditions:
Temperature modulation (lower to 16-20°C during induction)
Induction timing and duration optimization
Media supplementation with cofactors or stabilizing agents
Troubleshooting Decision Tree:
| Observed Issue | Potential Causes | Solution Strategies |
|---|---|---|
| No expression | Toxicity, codon bias, mRNA instability | Try lower temperature, different host strains, codon optimization |
| Insoluble protein | Misfolding, aggregation, hydrophobicity | Solubility tags, chaperone co-expression, detergent screening |
| Degradation | Protease activity, instability | Protease inhibitors, lower temperature, protease-deficient strains |
| Poor yield | Inefficient transcription/translation | Optimize promoter, ribosome binding site, culture conditions |
Advanced Approaches:
Co-expression with interacting partners from the Mediator complex
Cell-free expression systems for toxic proteins
Refolding protocols for inclusion body recovery
Directed evolution of expression hosts for improved yield
Antibody specificity is crucial for accurate CSE2 detection and functional studies. When facing cross-reactivity issues:
Antibody Optimization Strategies:
Epitope Refinement:
Design peptide antigens unique to A. gossypii CSE2
Target regions with minimal conservation to related proteins
Consider recombinant fragments rather than full-length protein
Validation Protocols:
Use CSE2 knockout/knockdown strains as negative controls
Perform peptide competition assays
Validate with orthogonal detection methods (e.g., MS/MS)
Purification Approaches:
Affinity purification against recombinant CSE2
Negative selection against cross-reactive proteins
Immunodepletion of cross-reactive antibodies
Technical Modifications:
Optimize blocking conditions (BSA, milk, specialized blockers)
Adjust antibody concentration and incubation parameters
Modify stringency of washing steps
Available Reagents:
The CSE2 antibody (CSB-PA751740XA01DOT) is a rabbit polyclonal antibody raised against recombinant A. gossypii CSE2 protein that has been affinity-purified and is recommended for ELISA and Western blot applications .
Alternative Detection Strategies:
Tagged recombinant CSE2 expression with commercial tag antibodies
Proximity labeling approaches (BioID, APEX)
Mass spectrometry-based identification
CRISPR-based endogenous tagging of CSE2
Distinguishing direct from indirect effects is a common challenge in transcriptional regulator studies:
Experimental Strategies:
Temporal Resolution:
Perform high-resolution time course experiments after CSE2 perturbation
Early-response genes are more likely to be direct targets
Apply mathematical modeling to infer regulatory cascade dynamics
Orthogonal Validation:
ChIP-seq to identify direct binding sites of CSE2
Reporter assays with wild-type and mutated binding sites
Inducible degron-tagged CSE2 for rapid depletion studies
Genetic Approaches:
Epistasis analysis with known transcription factors
Targeted mutagenesis of predicted binding sites
Synthetic genetic array analysis to map genetic interactions
Network Analysis:
Apply Bayesian network inference to model direct relationships
Use machine learning approaches to classify direct vs. indirect targets
Integrate multiple data types (ChIP-seq, RNA-seq, proteomic) for higher confidence predictions
Potential asynchronous responses across different nuclei
Nuclear-specific transcriptional territories
Diffusion of transcription factors between nuclear zones
Previous studies of transcriptional regulation during sporulation in A. gossypii identified key regulators like IME1, IME2, and SOK2 . Researchers could investigate interactions between these factors and CSE2 to build a more comprehensive understanding of the regulatory network.
Cutting-Edge Methodologies for CSE2 Research:
Spatial Transcriptomics Approaches:
Single-nucleus RNA-seq to profile individual nuclei within the same hypha
Multiplexed FISH to visualize transcripts with spatial resolution
Spatial proteomics to map protein distribution relative to nuclear positions
Advanced Genomic Engineering:
CRISPR-based screening in A. gossypii to identify genetic interactions with CSE2
Base editing for precise single nucleotide modifications
Prime editing for targeted sequence replacements without double-strand breaks
Structural Biology Innovations:
Cryo-EM of the A. gossypii Mediator complex with CSE2
Integrative structural modeling combining various experimental data types
Hydrogen-deuterium exchange mass spectrometry to map dynamic interactions
Single-Molecule Approaches:
Live-cell single-molecule tracking of labeled CSE2 in multinucleate hyphae
Super-resolution microscopy to visualize transcription factories
Single-molecule footprinting to map protein-DNA interactions at high resolution
Computational Advances:
Agent-based modeling of transcriptional regulation in multinucleate systems
Deep learning approaches to predict CSE2 binding and functional outcomes
Multi-scale modeling integrating molecular dynamics with cellular-level simulations
A. gossypii's extensive genetic toolbox, including CRISPR/Cas9 and CRISPR-Cpf1 systems for multiplex genome editing , positions it well for applying these emerging technologies.
A. gossypii is already utilized for industrial riboflavin production and has potential as a recombinant protein production platform . CSE2's role in transcriptional regulation suggests several biotechnological applications:
Potential Applications:
Engineered Protein Production:
Modulating CSE2 to enhance secretory pathway capacity
Engineering CSE2-dependent promoters for controlled expression
Creating synthetic transcriptional circuits incorporating CSE2 function
Metabolic Engineering:
Transcriptional reprogramming for improved riboflavin production
Targeting CSE2-regulated pathways for novel metabolite production
Developing stress-resistant strains through CSE2-mediated transcriptional adaptation
Synthetic Biology Platforms:
Utilizing the multinucleate nature for compartmentalized reactions
Developing nucleus-specific gene expression systems
Creating synthetic developmental switches based on CSE2 regulatory networks
Relevant Findings:
Studies of protein secretion in A. gossypii have shown distinct protein profiles in different media conditions, with proteins having isoelectric points between 4 and 6, and molecular weights above 25 kDa . Understanding CSE2's role in regulating secretory pathway genes could help optimize these processes for biotechnological applications.
Comparative evolutionary analysis of CSE2 across related fungi offers insights into functional adaptation and conservation:
Evolutionary Research Approaches:
Phylogenetic Analysis:
Construct CSE2 phylogenies across fungal lineages
Map functional domains and their conservation/divergence
Identify signatures of selection on specific residues or regions
Functional Complementation:
Test cross-species complementation of CSE2 mutants
Identify species-specific interaction partners
Map functional divergence through domain swapping experiments
Comparative Genomics:
Evolutionary Context:
The genus Eremothecium shows interesting genome evolution patterns, with chromosome number reductions from the ancestral eight chromosomes to seven in A. gossypii and A. aceri, and to six in E. coryli . This provides a natural experiment to study how CSE2 function may have adapted during these genomic reorganizations.
Comparative Framework:
| Species | Chromosome Number | Growth Form | Potential CSE2 Adaptations |
|---|---|---|---|
| A. gossypii | 7 | Filamentous | Adapted to multinucleate context |
| E. cymbalariae | 8 (ancestral) | - | May represent ancestral CSE2 function |
| E. coryli | 6 | - | Most derived, potentially specialized function |
| S. cerevisiae | Post-WGD | Unicellular | Adapted to unicellular context |
This comparative approach could reveal how transcriptional regulation has evolved during the transition between growth forms and genomic reorganizations.