Recombinant Aspergillus niger Conserved oligomeric Golgi complex subunit 6 (cog6), partial

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Description

Molecular Characterization of COG6

COG6 is a subunit of the COG complex, an eight-protein assembly essential for retrograde vesicular transport within the Golgi apparatus and endosome-to-Golgi trafficking . In Aspergillus niger, recombinant COG6 (partial) typically refers to truncated forms engineered to study specific functional domains. Key features include:

Table 1: Functional Domains of COG6

DomainFunctionalityInteraction Partners
SNARE-binding motif (SBM: aa 76–150)Binds Golgi SNAREs (STX5, STX6, GS27, SNAP29)STX5, STX6, GS27, SNAP29
Rab6-binding regionMediates vesicle tetheringRab6 GTPase

The SBM is indispensable for COG6’s Golgi localization and interaction with SNARE proteins, as demonstrated by yeast two-hybrid assays and co-immunoprecipitation . Deletion of this motif disrupts COG6’s ability to maintain Golgi integrity .

Functional Role in Golgi Dynamics

COG6 ensures proper Golgi architecture by regulating retrograde trafficking. Overexpression or depletion of COG6 in A. niger leads to Golgi fragmentation and impaired glycoconjugate synthesis . Key findings include:

  • Retrograde Transport: COG6 collaborates with COPI vesicles to retrieve GEARs (Golgi enzymes affected by COG mutations) from the endoplasmic reticulum (ER), preventing their proteasomal degradation .

  • SNARE Interactions: COG6 binds directly to SNAREs like GS27, facilitating vesicle docking and fusion. Disruption of these interactions delays intra-Golgi transport .

Table 2: Phenotypic Effects of COG6 Dysregulation

ConditionGolgi PhenotypeCellular Outcome
COG6 overexpressionFragmented Golgi ribbonsMislocalization of GEARs to ER
COG6 depletionDisrupted glycoconjugate synthesisReduced secretion efficiency

Biotechnological Applications

Aspergillus niger is a workhorse for industrial enzyme production, and COG6 engineering has implications for enhancing secretion pathways:

  • Protein Secretion: COG6-deficient strains show reduced secretion of glycosylated enzymes like polygalacturonase (PGC) . Restoring COG6 function could optimize yields in bio-production pipelines .

  • Metabolic Engineering: Genome-scale models of A. niger metabolism highlight COG6’s role in maintaining Golgi transporters critical for organic acid synthesis .

Research Challenges and Innovations

  • Expression Stability: Recombinant COG6 (partial) is prone to ER retention and degradation unless co-expressed with stabilizing partners like Rab6 .

  • Functional Redundancy: COG6’s overlap with COPI complicates targeted interventions, as dual depletion causes synthetic lethality in fungal cells .

Future Directions

  • Structural Studies: High-resolution imaging of COG6-SNARE complexes could reveal dynamic binding mechanisms.

  • Strain Optimization: CRISPR-Cas9 editing of COG6 domains may enhance secretion in industrial A. niger strains .

Product Specs

Form
Lyophilized powder. Note: We will prioritize shipping the format we have in stock. If you have specific format requirements, please specify them when ordering, and we will accommodate your request.
Lead Time
Delivery times may vary depending on the purchase method and location. Please consult your local distributor for specific delivery times. Note: All proteins are shipped with standard blue ice packs by default. If dry ice shipment is required, please contact us in advance, as additional charges will apply.
Notes
Avoid repeated freeze-thaw cycles. Working aliquots can be stored at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening to collect the contents at the bottom. Reconstitute the protein in sterile deionized water to a concentration of 0.1-1.0 mg/mL. We recommend adding 5-50% glycerol (final concentration) and aliquoting for long-term storage at -20°C/-80°C. Our default final glycerol concentration is 50%, which can be used as a reference.
Shelf Life
Shelf life depends on various factors, including storage conditions, buffer components, storage temperature, and protein stability. Generally, the shelf life of the liquid form is 6 months at -20°C/-80°C, and the shelf life of the lyophilized form is 12 months at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon receipt. Aliquot for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
The tag type will be determined during the manufacturing process. If you require a specific tag type, please inform us, and we will prioritize developing the specified tag.
Synonyms
cog6; An06g01630; Conserved oligomeric Golgi complex subunit 6; COG complex subunit 6; Component of oligomeric Golgi complex 6
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Protein Length
Partial
Purity
>85% (SDS-PAGE)
Species
Aspergillus niger (strain CBS 513.88 / FGSC A1513)
Target Names
cog6
Uniprot No.

Target Background

Function
Acts as a component of the peripheral membrane COG complex, which is involved in intra-Golgi protein trafficking. COG is located at the cis-Golgi and regulates the tethering of retrograde intra-Golgi vesicles and potentially other membrane trafficking events.
Database Links
Protein Families
COG6 family
Subcellular Location
Golgi apparatus membrane; Peripheral membrane protein.

Q&A

What is the Conserved Oligomeric Golgi complex subunit 6 (COG6) in Aspergillus niger?

COG6 is one of the subunits of the Conserved Oligomeric Golgi (COG) complex, a multi-protein assembly that plays a crucial role in the structure and function of the Golgi apparatus. In Aspergillus niger, as in other organisms, the COG complex is involved in intra-Golgi retrograde transport, which is essential for proper glycosylation of proteins. The COG complex consists of eight subunits organized into two lobes (lobe A and lobe B), with COG6 being part of lobe B. The protein functions in maintaining Golgi structure and facilitating vesicular trafficking within the secretory pathway .

How does COG6 function affect cellular processes in A. niger?

COG6 plays a critical role in several cellular processes in A. niger through its involvement in vesicular trafficking and glycosylation pathways. Defects in COG6 can significantly impact:

  • Protein secretion: A. niger is known for its high capacity for protein secretion, which is dependent on proper Golgi function. COG6 mutations can affect the secretion of native and heterologous proteins.

  • Glycosylation patterns: COG6 deficiency leads to abnormal N- and O-glycosylation, as demonstrated in human studies where COG6 mutations result in loss of galactose and sialic acid residues on glycoproteins .

  • Cell morphology: Studies utilizing conditional mutants have shown that COG6 can influence cell morphology in filamentous fungi .

  • Metabolic processes: As A. niger is a key production organism for citric acid and other metabolites, proper functioning of the secretory pathway involving COG6 is crucial for these processes .

What genetic tools are available for studying COG6 in A. niger?

Several genetic approaches have been developed specifically for investigating gene function in A. niger, which can be applied to COG6 research:

  • 5S rRNA-CRISPR-Cas9 Technology: This system allows precise genome editing in A. niger and can be combined with inducible promoter systems like Tet-on to create conditional expression mutants .

  • PEG-Mediated Transformation: This is the standard method for introducing DNA into A. niger protoplasts and can be used for transforming CRISPR components and donor DNA for COG6 modification .

  • Tet-on Gene Switch System: This inducible system allows for tight regulation of gene expression using doxycycline as an inducer, enabling both gain-of-function and loss-of-function studies with a single isolate .

  • Homologous Recombination: This approach can be used for precise gene targeting, including promoter replacement strategies for COG6.

The combination of these tools permits sophisticated genetic manipulation of COG6 in A. niger, allowing researchers to investigate its function through various approaches without generating multiple mutant strains .

How can CRISPR-Cas9 technology be optimized for COG6 modification in A. niger?

Optimizing CRISPR-Cas9 for COG6 modification requires careful attention to several parameters:

  • sgRNA Design Considerations:

    • Target site selection within the COG6 gene or promoter region

    • Minimizing off-target effects through computational prediction tools

    • Optimizing sgRNA structure for Cas9 binding efficiency

  • Donor DNA Design for Promoter Replacement:

    • Inclusion of appropriate homology arms (500-1000 bp) flanking the COG6 target site

    • Precise incorporation of the Tet-on inducible promoter system

    • Addition of selection markers for efficient screening

  • Co-transformation Protocol:

    • Optimized protoplast preparation to ensure high transformation efficiency

    • DNA ratio optimization (sgRNA:Cas9:donor DNA) at 1:1:3 for highest editing efficiency

    • Proper PEG-mediated transformation conditions (PEG concentration, incubation time)

  • Selection and Verification Strategy:

    • Primary selection based on transformation markers

    • PCR verification of successful promoter replacement

    • Sequencing confirmation of the edited locus

    • Southern blot analysis to confirm single integration

This optimized approach has been successfully used to generate conditional mutants in genes involved in cell morphology, protein secretion, and citric acid production in A. niger, making it suitable for COG6 investigation .

How does COG6 contribute to the glycosylation machinery in A. niger?

COG6 plays a critical role in the glycosylation machinery of A. niger through its involvement in vesicular trafficking and Golgi function:

  • Golgi Structure Maintenance: COG6 helps maintain the proper architecture of the Golgi apparatus, which houses glycosylation enzymes in their appropriate compartments.

  • Retrograde Transport: COG6, as part of the COG complex, facilitates the retrieval of glycosylation enzymes from later to earlier Golgi compartments, ensuring their correct localization.

  • Glycosyltransferase Localization: Proper localization of glycosyltransferases depends on COG6-mediated vesicular transport, affecting both N- and O-glycosylation pathways.

What phenotypes are associated with COG6 mutations in filamentous fungi?

COG6 mutations in filamentous fungi, including A. niger, have been associated with several distinct phenotypes:

  • Morphological Abnormalities:

    • Altered hyphal growth patterns

    • Changes in branch frequency and positioning

    • Abnormal cell wall composition and integrity

  • Secretion Defects:

    • Reduced extracellular enzyme production

    • Accumulation of secretory vesicles

    • Altered protein glycosylation profiles

  • Metabolic Changes:

    • Altered citric acid production

    • Modified secondary metabolite profiles

    • Changes in carbon source utilization patterns

  • Growth Characteristics:

    • Conditional growth defects under specific conditions

    • Temperature sensitivity

    • Stress response abnormalities

The severity of these phenotypes can be modulated in conditional mutants using doxycycline-inducible systems, allowing researchers to study COG6 function at various expression levels . This approach has proven valuable for characterizing genes involved in similar cellular processes in A. niger.

How can metabolic network models integrate COG6 functional data in A. niger?

Integrating COG6 functional data into metabolic network models of A. niger requires a sophisticated systems biology approach:

  • Metabolic Network Contextualization:

    • The comprehensive metabolic network of A. niger comprises 1190 biochemically unique reactions and 871 ORFs, with a total of 2240 reactions when including isoenzymes .

    • COG6 functional data can be mapped onto this network by identifying connections between glycosylation, protein secretion, and central carbon metabolism.

  • Multi-omics Data Integration:

    • Transcriptomic data from COG6 mutants can be overlaid onto the metabolic network to identify affected pathways.

    • Proteomics data can reveal changes in enzyme abundance and post-translational modifications.

    • Metabolomics data can highlight altered metabolic fluxes resulting from COG6 dysfunction.

  • Flux Balance Analysis Incorporation:

    • Mathematical models can be adjusted to account for changes in protein secretion efficiency.

    • Constraints can be implemented based on experimental data from COG6 mutants.

    • Simulation scenarios can predict the impact of COG6 manipulation on product yields.

  • Model Validation and Refinement:

    • Experimental validation of model predictions using conditional COG6 mutants.

    • Iterative model refinement based on new experimental data.

    • Development of COG6-specific modules within the larger metabolic network.

This integration would enable researchers to predict how COG6 modifications might affect the production of various compounds in A. niger, potentially optimizing this organism as a cell factory for industrial applications .

What are the comparative differences between COG6 in A. niger and other fungal species?

Comparative analysis of COG6 across fungal species reveals important evolutionary and functional insights:

SpeciesCOG6 Size (aa)Key Structural FeaturesFunctional DifferencesAssociated Phenotypes
A. nigerVaries by strainConserved C-terminal domainInvolved in protein secretion and citric acid productionMorphological changes, secretion alterations
S. cerevisiae~779Also known as COD2/SEC37Well-characterized in vesicular traffickingTemperature-sensitive growth defects
E. nidulansSimilar to A. nigerHigh sequence homology to A. nigerModel for studying filamentous fungiDevelopmental abnormalities
Human COG6657Contains G549 residue critical for functionMutation causes CDG-IILGlycosylation defects, neurological disease

Key comparative observations:

  • Sequence Conservation: While the core functions of COG6 are conserved across species, sequence variations exist, particularly in regions outside the conserved C-terminal domain.

  • Functional Adaptations: In A. niger, COG6 has likely adapted to support the high secretory capacity of this organism, particularly for enzymes involved in substrate degradation.

  • Interaction Partners: The protein interaction network of COG6 shows species-specific differences, reflecting the adaptation of the secretory pathway to different ecological niches.

  • Regulatory Mechanisms: The regulation of COG6 expression varies across fungal species, with A. niger showing specific patterns connected to its industrial phenotype as a cell factory .

These comparative differences provide valuable insights for designing species-specific manipulation strategies and for understanding the evolutionary adaptation of the secretory pathway across fungi.

What techniques are most effective for verifying COG6 mutant strains in A. niger?

Verification of COG6 mutant strains in A. niger requires a comprehensive approach using multiple complementary techniques:

  • Molecular Verification:

    • PCR-based confirmation of genomic integration using primers spanning the integration junction

    • Sanger sequencing to verify the precise modification at the COG6 locus

    • Quantitative PCR to determine copy number and integration site integrity

    • Southern blot analysis to confirm single integration events and exclude random integration

  • Transcript Analysis:

    • RT-PCR to confirm altered COG6 expression patterns

    • RNA-Seq to evaluate global transcriptional consequences of COG6 modification

    • Northern blot analysis for specific transcript size verification

  • Protein-level Verification:

    • Western blot analysis to confirm altered COG6 protein expression

    • Gel filtration chromatography to assess COG complex integrity

    • Immunofluorescence analysis to determine subcellular localization of COG6 and other Golgi markers

  • Functional Validation:

    • Brefeldin A treatment to assess COG complex-dependent retrograde transport

    • Glycosylation profiling using mass spectrometry to detect alterations in glycan structures

    • Complementation with wild-type COG6 to demonstrate phenotype rescue

For conditional expression mutants using the Tet-on system, additional verification of doxycycline responsiveness through dose-dependent expression analysis is essential to ensure the system functions as intended .

How can researchers troubleshoot common issues in COG6 functional studies?

Researchers working with COG6 in A. niger may encounter several technical challenges. Here are methodological approaches to troubleshoot common issues:

  • Low Transformation Efficiency:

    • Optimize protoplast preparation by adjusting mycelium age (16-18 hours generally optimal)

    • Fine-tune enzyme concentration for cell wall digestion (typically 10-15 mg/mL lysing enzymes)

    • Ensure careful handling of protoplasts to maintain viability

    • Consider using osmotic stabilizers at optimal concentrations (1.2M sorbitol)

  • Off-target CRISPR Effects:

    • Improve sgRNA design using updated algorithms to minimize off-target binding

    • Perform whole-genome sequencing of mutants to identify potential off-target modifications

    • Generate multiple independent mutants to distinguish COG6-specific phenotypes

    • Use paired nickase approaches to improve specificity

  • Conditional Expression Challenges:

    • Test multiple doxycycline concentrations (0-20 μg/mL) to identify optimal induction levels

    • Verify Tet-on system functionality using a reporter gene before COG6 modification

    • Monitor expression kinetics over time to determine optimal sampling points

    • Consider leaky expression issues by performing experiments in complete absence of inducer

  • Phenotype Analysis Difficulties:

    • Establish clear baseline measurements for wild-type strains under identical conditions

    • Implement quantitative phenotype measures rather than qualitative observations

    • Account for strain background effects by using appropriate control strains

    • Consider pleiotropic effects when interpreting complex phenotypes

  • Protein Detection Issues:

    • Optimize protein extraction protocols specifically for membrane-associated proteins

    • Consider adding epitope tags for improved antibody detection

    • Use subcellular fractionation to enrich for Golgi-associated proteins

    • Implement more sensitive detection methods such as proximity labeling approaches

By systematically addressing these issues using the outlined methodological approaches, researchers can overcome technical challenges in COG6 functional studies and generate reliable data.

How can COG6 studies be integrated with metabolic engineering efforts in A. niger?

Integrating COG6 studies with metabolic engineering in A. niger represents an advanced research direction with significant potential:

  • Secretion Pathway Engineering:

    • Modulation of COG6 expression can be used to optimize protein secretion capacity

    • Fine-tuning COG6 function may reduce endoplasmic reticulum stress during heterologous protein production

    • Coordinated engineering of multiple COG complex components could enhance secretory performance

  • Glycosylation Pattern Modification:

    • Controlled manipulation of COG6 function can alter glycosylation patterns of secreted proteins

    • This approach can be used to generate proteins with specific glycan structures for medical or industrial applications

    • Combined with glycosyltransferase engineering, it provides a powerful tool for glycoprotein design

  • Integration with Genome-Scale Models:

    • COG6 functional data can inform constraints in the established metabolic model of A. niger

    • The comprehensive model comprising 1190 unique reactions can predict the impact of COG6 modifications on metabolic flux

    • This enables simulation-guided engineering strategies that account for secretory pathway effects

  • Multi-omics Integration Framework:

    • COG6 studies can provide secretome data to complement metabolomics and fluxomics

    • Integration of these data types with the validated metabolic model allows systems-level analysis

    • This comprehensive approach can identify non-intuitive engineering targets related to COG6 function

A key advantage of this integrated approach is the ability to predict how modifications to the secretory pathway will impact metabolic flux distributions and ultimately affect product yields in this important industrial organism .

What computational tools are available for analyzing COG6 structure-function relationships?

Several computational approaches can be employed to analyze COG6 structure-function relationships in A. niger:

  • Structural Analysis Tools:

    • Homology modeling based on crystal structures of COG complex components from model organisms

    • Molecular dynamics simulations to predict the impact of mutations on protein stability

    • Protein-protein interaction interface prediction to map COG6 interactions within the complex

    • Conservation analysis to identify functionally critical residues across fungal species

  • Network Analysis Platforms:

    • Protein interaction network tools to place COG6 in the context of the secretory pathway

    • Functional enrichment analysis to identify processes connected to COG6 function

    • Pathway impact analysis to predict the consequences of COG6 perturbation

    • Co-expression network analysis to identify functionally related genes

  • Sequence Analysis Resources:

    • Multiple sequence alignment tools to compare COG6 across fungal species

    • Motif identification algorithms to define functional domains

    • Evolutionary analysis to identify selection pressure on different protein regions

    • Variant effect prediction to assess the impact of naturally occurring polymorphisms

  • Integration with Experimental Data:

    • Tools for mapping transcriptomics data onto predicted structure models

    • Systems for integrating proteomics data with structural predictions

    • Platforms for correlating phenotypic data with structural features

    • Machine learning approaches to predict mutation outcomes based on experimental datasets

These computational approaches provide valuable insights for designing targeted experiments to manipulate COG6 function and for interpreting experimental results in a structural context. They can guide the rational design of COG6 variants with altered functionality for both basic research and biotechnological applications.

What emerging technologies could advance COG6 research in A. niger?

Several cutting-edge technologies are poised to revolutionize COG6 research in A. niger:

  • Advanced Genome Editing Approaches:

    • Prime editing systems for precise nucleotide changes without double-strand breaks

    • Base editing technologies for targeted C→T or A→G substitutions in COG6

    • CRISPR interference/activation systems for reversible COG6 regulation without genetic modification

    • Multiplexed CRISPR systems for simultaneous editing of COG6 and interacting partners

  • Single-Cell Technologies:

    • Single-cell RNA-seq to capture heterogeneity in COG6 expression within fungal populations

    • Single-cell proteomics to measure COG6 protein levels at individual cell resolution

    • Spatial transcriptomics to map COG6 expression within fungal colonies and mycelia

    • Live-cell imaging with advanced biosensors to track COG6 dynamics in real-time

  • Protein Structure Determination:

    • Cryo-EM analysis of the complete COG complex structure in A. niger

    • Hydrogen-deuterium exchange mass spectrometry to map protein interaction surfaces

    • In-cell NMR to study COG6 structural dynamics under native conditions

    • Integrative structural biology approaches combining multiple experimental data types

  • Systems Biology Integration:

    • Multi-scale modeling approaches linking molecular mechanisms to cellular phenotypes

    • Genome-scale models incorporating protein secretion constraints based on COG6 function

    • Digital twin approaches for in silico prediction of COG6 mutation outcomes

These emerging technologies will enable more precise manipulation of COG6, deeper insights into its functional mechanisms, and better integration of this knowledge into comprehensive models of A. niger physiology.

How might COG6 functional insights from A. niger translate to other biological systems?

Insights from COG6 studies in A. niger have significant translational potential to other biological systems:

  • Medical Applications:

    • Improved understanding of COG6-related human diseases such as Congenital Disorders of Glycosylation (CDG-IIL)

    • The homozygous mutation (c.G1646T) leading to p.G549V substitution in human COG6 causes severe neurological disease

    • A. niger models could provide insights into disease mechanisms and potential therapeutic approaches

    • Fungal systems might serve as platforms for screening drugs targeting COG-related disorders

  • Industrial Biotechnology:

    • Findings may transfer to other industrial fungi to enhance protein secretion

    • COG6 manipulation strategies could improve production of enzymes and biologics

    • Knowledge of glycosylation control could enable production of proteins with customized glycan structures

    • Secretory pathway engineering principles may apply across diverse fungal cell factories

  • Comparative Cell Biology:

    • Evolutionarily conserved functions of COG6 inform understanding of fundamental trafficking mechanisms

    • Species-specific adaptations reveal evolutionary strategies for specialized secretory functions

    • Comparative analysis between yeast, filamentous fungi, and mammalian systems highlights universal principles

    • Knowledge transfer between model systems accelerates progress in understanding complex cellular processes

  • Agricultural Applications:

    • Insights into fungal secretion may inform strategies for crop protection

    • Understanding of COG6 function could contribute to developing novel antifungal approaches

    • Manipulation of secretion in beneficial fungi might enhance their performance as biocontrol agents

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