ATL42 (At4g28890) is a RING-H2 finger E3 ubiquitin ligase belonging to the ATL family in Arabidopsis thaliana. It is part of a large gene family comprising approximately 80 members in Arabidopsis and 121 in rice (Oryza sativa) . The ATL family is characterized by a highly conserved RING-H2 domain with a specific signature pattern: a highly conserved proline spaced one residue upstream from the third zinc ligand, and a conserved tryptophan spaced three residues downstream from the sixth zinc ligand . ATL42 is encoded by the At4g28890 gene and is also known by the synonyms F25O24.10 and RING-type E3 ubiquitin transferase ATL42 .
Methodologically, researchers can identify and classify ATL proteins through sequence alignment focusing on the conserved RING-H2 motif (C-X2-C-X(9-39)-C-X(1-3)-H-X(2-3)-C-X2-C-X(4-48)-C-X2-C) and the characteristic proline and tryptophan residues that distinguish the ATL family from other RING finger proteins .
Based on successful protocols with other ATL family members and the information from commercial sources , the following methodology is recommended:
Expression System Selection: E. coli is the preferred expression system for ATL42. BL21(DE3) strain is commonly used for high yield protein expression .
Construct Design:
Use the mature protein sequence (residues 19-432)
Add an N-terminal His-tag for purification
Clone into a pET or pGEX vector with an IPTG-inducible promoter
Expression Conditions:
Grow transformed E. coli to OD600 of 0.6-0.8 at 37°C
Induce with 0.5-1.0 mM IPTG
Shift temperature to 18-20°C for overnight expression to increase solubility
Purification Protocol:
Lyse cells in buffer containing 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10 mM imidazole, 1 mM DTT, and protease inhibitors
Purify using Ni-NTA affinity chromatography
Elute with imidazole gradient (50-250 mM)
Further purify by size-exclusion chromatography if needed
Storage Recommendations:
For solubility issues, consider expressing only the RING domain or using fusion tags like MBP (maltose-binding protein) as successfully employed for other ATL family members .
To verify the E3 ubiquitin ligase activity of ATL42, use an in vitro ubiquitination assay following protocols established for related proteins like ATL2 and ATL9 :
Materials required:
Purified recombinant ATL42 (as GST or MBP fusion)
Recombinant E1 (ubiquitin-activating enzyme, typically from yeast)
Recombinant E2 (ubiquitin-conjugating enzyme, use AtUBC8 or human UbcH5b)
Ubiquitin
ATP and ATP regeneration system
Reaction buffer (typically 50 mM Tris-HCl pH 7.5, 5 mM MgCl₂, 2 mM DTT)
Experimental procedure:
Set up the complete reaction containing E1, E2, ATL42, ubiquitin, and ATP
Set up control reactions omitting each component individually
Incubate at 30°C for 1-2 hours
Analyze by SDS-PAGE followed by western blotting with anti-ubiquitin antibodies
Expected results:
The complete reaction should show multiple high-molecular-weight ubiquitinated bands, while control reactions missing any essential component should show no ubiquitination .
To identify critical residues for ligase activity, perform site-directed mutagenesis of conserved cysteine residues in the RING domain, as demonstrated for ATL2 where the Cys138Ala mutation abolished E3 ligase activity .
Identifying substrates of E3 ubiquitin ligases is challenging but several complementary approaches can be employed:
Yeast Two-Hybrid Screening:
Create a bait construct with ATL42 (consider using only the substrate-binding domain to avoid auto-activation)
Screen against an Arabidopsis cDNA library
Validate interactions with co-immunoprecipitation assays in planta
Proximity-Based Labeling:
Generate ATL42 fusion with BioID or TurboID
Express in Arabidopsis cells
Identify biotinylated proximal proteins by mass spectrometry
Ubiquitination Assays with Candidate Substrates:
Select candidate substrates based on known functions of other ATL family members
Test ubiquitination of these candidates in vitro
Verify protein stability changes in vivo using ATL42 overexpression and knockout lines
Proteomics Approach:
Compare ubiquitinated proteome in wild-type and atl42 mutant plants using tandem ubiquitin-binding entities (TUBEs) enrichment
Focus on proteins showing differential ubiquitination
Genetic Interaction Screening:
Generate an ATL42 overexpression line
Cross with an Arabidopsis T-DNA insertion collection
Identify suppressors or enhancers of ATL42-related phenotypes
These methods should be used in combination for robust substrate identification, as established for other E3 ubiquitin ligases in plants .
While direct evidence for ATL42's role in defense is limited in the provided search results, several lines of indirect evidence suggest its potential involvement:
ATL Family Pattern: Multiple ATL family members, including ATL2 and ATL9, have been demonstrated to play essential roles in defense against fungal pathogens . For example, ATL2 is necessary for defense against the fungal pathogen A. brassicicola .
Expression Patterns: Many ATL family members, including ATL2, are rapidly induced in response to elicitors, suggesting a role in early defense responses . A similar expression pattern for ATL42 would support its role in defense.
Functional Conservation: Approximately 60% of rice ATLs are clustered with Arabidopsis ATLs, with many showing sequence similarities beyond the conserved features, suggesting conserved functions . This functional conservation within the family points to potential defense roles for ATL42.
Regulation of Protein Stability: E3 ubiquitin ligases in plants often regulate the stability of defense-related proteins, controlling the turnover of signaling components, transcription factors, and receptors involved in pathogen recognition .
Methodological approaches to confirm ATL42's role in defense:
Generate atl42 knockout mutants and test susceptibility to different pathogens
Create ATL42-overexpressing plants and assess resistance phenotypes
Analyze ATL42 expression patterns upon pathogen infection or PAMP treatment
Identify ATL42 substrates related to defense signaling
Perform epistasis analysis with known defense pathway components
E3 ubiquitin ligases play crucial roles in abiotic stress responses by modulating protein stability in response to environmental changes. For ATL42:
Potential Role in Hormone Signaling:
Many ATL family members are involved in hormone signaling pathways, especially those related to stress responses
ATL43, a family member, showed an ABA-insensitive phenotype when mutated, suggesting a role in ABA response
ATL42 might similarly regulate components of hormone signaling pathways related to drought, salinity, or temperature stress
Protein Quality Control:
Under stress conditions, E3 ligases often target misfolded or damaged proteins for degradation
ATL42 may participate in this quality control mechanism during abiotic stress
Experimental Approaches to Investigate:
Analyze ATL42 expression under different abiotic stresses (drought, salt, cold, heat)
Compare stress tolerance of wild-type vs. atl42 mutant plants
Identify changes in the ubiquitinated proteome under stress conditions in wild-type vs. atl42 mutants
Perform yeast two-hybrid or co-IP experiments to identify stress-specific interaction partners
Quantitative Trait Locus (QTL) Analysis:
Based on studies of related ATL proteins, a systematic approach to identify critical residues in ATL42 would include:
Identification of Conserved Residues:
Align ATL42 with other characterized ATL proteins, particularly ATL2 where Cys138 was shown to be essential for activity
Focus on conserved cysteine and histidine residues in the RING-H2 domain that coordinate zinc ions
Also examine conserved residues surrounding the RING domain that might affect E2 interaction
Site-Directed Mutagenesis Strategy:
Generate point mutations of conserved cysteines to alanine (e.g., C→A)
Create mutations of conserved histidines to alanine (H→A)
Target the conserved tryptophan characteristic of ATL family members
Consider conservative vs. non-conservative mutations to assess structural vs. functional roles
Experimental Verification:
In Vivo Functional Complementation:
Transform atl42 mutant plants with constructs expressing mutated versions of ATL42
Assess whether mutant versions can complement the phenotype
This approach can determine if E3 ligase activity is essential for the biological function of ATL42
E2 Binding Assays:
Perform pull-down assays between wild-type/mutant ATL42 and various E2 enzymes
Identify residues specifically involved in E2 recognition vs. catalytic activity
This methodology successfully identified Cys138 as critical for ATL2's ubiquitin ligase activity, with the C138A mutation completely abolishing E3 activity while maintaining protein stability .
To determine the subcellular localization and membrane integration of ATL42, several complementary approaches can be employed:
Fluorescent Protein Fusion and Confocal Microscopy:
Generate N- and C-terminal GFP fusions of ATL42
Express in Arabidopsis protoplasts or stable transgenic plants
Image using confocal microscopy
Co-localize with established organelle markers (ER, Golgi, plasma membrane)
Biochemical Fractionation:
Membrane Integration Analysis:
Perform protease protection assays to determine topology
Use membrane extraction with various detergents and salts to assess the strength of membrane association
Apply carbonate extraction (pH 11.5) to distinguish peripheral from integral membrane proteins
Transmembrane Domain Analysis:
Create targeted deletions or mutations of predicted transmembrane domains
Observe changes in localization patterns
Use domain swapping with known membrane proteins to verify function
Immunogold Electron Microscopy:
Provide high-resolution confirmation of subcellular localization
Particularly useful for distinguishing between closely associated membranes (e.g., ER vs. Golgi)
Based on findings for other ATL family members, ATL42 is likely integrated into a membrane system, possibly the plasma membrane as shown for ATL2 through bioinformatics, confocal imaging, and cell fractionation analysis .
Designing experiments to elucidate ATL42's role in signaling requires a systematic approach:
Generate and Characterize Genetic Materials:
Create atl42 knockout mutants using T-DNA insertion or CRISPR-Cas9
Develop ATL42 overexpression lines under constitutive and inducible promoters
Establish complementation lines with wild-type and mutated versions of ATL42
Consider the challenge of functional redundancy with other ATL family members
Phenotypic Analysis Under Different Conditions:
Assess growth, development, and stress responses of genetic materials
Apply specific signaling pathway activators/inhibitors
Conduct dose-response curves and time-course experiments
Record quantitative phenotypic data (growth rates, stress tolerance metrics)
Transcriptomic Analysis:
Perform RNA-seq comparing wild-type, knockout, and overexpression lines
Analyze under basal and induced conditions
Use gene set enrichment analysis (GSEA) to identify affected pathways
Compare with transcriptomic signatures of known signaling pathway mutants
Protein-Protein Interaction Network:
Conduct immunoprecipitation followed by mass spectrometry (IP-MS)
Perform yeast two-hybrid screening with ATL42 as bait
Validate interactions using techniques like BiFC or FRET
Map ATL42 into known signaling networks
Substrate Identification and Validation:
Compare ubiquitinated proteomes between wild-type and atl42 mutants
Focus on proteins showing altered stability in ATL42 mutants
Conduct in vitro ubiquitination assays with candidate substrates
Perform genetic epistasis tests with substrate mutants
Interpretation Framework:
Use a systems biology approach to integrate multiple data types
Construct network models of ATL42 function
Consider redundancy and compensatory mechanisms
Compare with known functions of other ATL family members
The success of this approach is demonstrated by studies of ATL family members like ATL2, which was found to be essential for defense against the fungal pathogen A. brassicicola .
A comparative analysis of ATL42 with other ATL family members reveals important structural and functional insights:
Methodologically, the comparative approach reveals:
Functional Diversity: Despite structural similarities, ATL family members appear specialized for different signaling pathways and stress responses.
Localization Patterns: Different ATL proteins localize to different membrane systems, suggesting distinct substrate pools and functions.
E3 Ligase Mechanism: The conserved RING-H2 domain functions similarly across the family, with critical cysteine residues required for activity.
Target Specificity: The regions outside the RING domain likely confer substrate specificity and determine the biological processes regulated.
These comparisons suggest experimental approaches for ATL42 characterization, using successful strategies employed for other family members while accounting for potential unique features.
Several bioinformatic approaches can provide insights into ATL42 function:
Phylogenetic Analysis:
Construct phylogenetic trees of ATL family members across plant species
Identify ATL42 orthologs and determine evolutionary distances
Cluster analysis to identify functionally related subgroups
This approach revealed that about 60% of rice ATLs cluster with Arabidopsis ATLs, suggesting conserved functions
Motif and Domain Analysis:
Identify conserved motifs outside the RING-H2 domain
Analyze conservation patterns of specific amino acids
Predict functional sites using tools like MEME, PRINTS, or PROSITE
The ATL family is characterized by specific conserved residues, including a proline near the third zinc ligand and a tryptophan downstream of the sixth zinc ligand
Co-expression Network Analysis:
Use publicly available transcriptomic data to identify genes co-expressed with ATL42
Perform Gene Ontology enrichment analysis on co-expressed genes
Map ATL42 into functional networks using tools like ATTED-II
Structural Prediction and Modeling:
Generate 3D structural models of ATL42 using homology modeling
Compare with known structures of RING domains
Predict protein-protein interaction interfaces
Identify potential substrate binding regions
Genomic Context Analysis:
Integrative Approach:
Combine multiple bioinformatic predictions
Weight predictions based on confidence scores
Validate top predictions experimentally
These approaches have successfully predicted functions for other E3 ligases and can guide experimental design for ATL42 characterization.
Researchers working with E3 ubiquitin ligases face several challenges:
Protein Solubility Issues:
Challenge: RING domain proteins often aggregate during expression
Solution: Express at lower temperatures (16-20°C), use solubility tags (MBP, SUMO), optimize buffer conditions with additives like arginine and glutamic acid
Maintaining Structural Integrity:
Challenge: Zinc coordination in RING domains is sensitive to oxidation and pH
Solution: Include reducing agents (DTT, TCEP) in all buffers, avoid metal chelators, maintain pH 7.0-8.0, consider adding zinc to purification buffers
Identifying Physiological Substrates:
Challenge: In vitro ubiquitination may not reflect in vivo specificity
Solution: Use proximity labeling approaches, develop quantitative ubiquitinome analysis, combine genetic and biochemical approaches
Detecting E3 Ligase Activity:
Challenge: Background activity and distinguishing auto-ubiquitination from substrate ubiquitination
Solution: Include appropriate controls, use mutated versions lacking ligase activity, employ fluorescent ubiquitin for quantitative assays
Functional Redundancy:
Challenge: Other ATL family members may compensate for ATL42 loss
Solution: Generate multiple knockout lines, use inducible dominant-negative approaches, consider tissue-specific phenotypes
Storage Stability:
These challenges can be addressed through careful experimental design and optimization, as demonstrated in successful studies of other ATL family proteins like ATL2 and ATL9 .
Proper controls are essential for experiments with E3 ubiquitin ligases:
In Vitro Ubiquitination Assays:
Negative Controls:
Omit E1 enzyme to confirm E1-dependent activation
Omit E2 enzyme to verify E2-dependent conjugation
Omit ATP to confirm energy requirement
Omit ATL42 to detect background activity
Use catalytically inactive ATL42 mutant (RING domain cysteine mutated)
Positive Controls:
Include a well-characterized E3 ligase with known activity
Use a known E3-substrate pair as a system control
Substrate Identification Experiments:
Specificity Controls:
Compare binding/ubiquitination with unrelated proteins
Perform competition assays with potential substrates
Test substrate specificity across multiple conditions
Technical Controls:
Include input controls for all pull-down experiments
Use isotype control antibodies for immunoprecipitations
Validate all tagged constructs for functionality
In Vivo Studies:
Genetic Controls:
Use multiple independent knockout or overexpression lines
Include empty vector transformants for overexpression studies
Complement knockout lines with wild-type and mutant versions
Phenotypic Controls:
Compare with mutants of related ATL genes
Include positive controls for each phenotypic assay
Test multiple environmental conditions
Protein-Protein Interaction Studies:
Binding Specificity Controls:
Test interaction with structurally similar non-substrates
Perform domain mapping to identify specific interaction regions
Include known non-interacting proteins
The importance of comprehensive controls is demonstrated in the study of ATL2, where systematic omission of reaction components confirmed the specific E3 ligase activity of the protein .
This methodological approach ensures reliable and reproducible results when working with complex enzymatic systems like E3 ubiquitin ligases.
Several cutting-edge technologies show promise for investigating ATL42 function:
CRISPR-Based Technologies:
CRISPRi/CRISPRa: For fine-tuned expression control of ATL42
Base editing: To introduce specific mutations without DNA breaks
Prime editing: For precise genetic modifications of ATL42
CRISPR screens: To identify genetic interactions with ATL42
Advanced Imaging Techniques:
Super-resolution microscopy: To visualize ATL42 subcellular localization at nanometer resolution
Live-cell imaging with optogenetics: To control ATL42 activity with light and observe real-time effects
Correlative light and electron microscopy (CLEM): To connect functional observations with ultrastructural details
Proteomics Innovations:
Targeted proteomics (PRM/MRM): For precise quantification of ATL42 and substrates
Crosslinking mass spectrometry (XL-MS): To map interaction interfaces
UbiSite and UbiScan: For comprehensive mapping of ubiquitination sites
Proximity-dependent biotin identification (BioID/TurboID): To identify ATL42-proximal proteins in living cells
Single-Cell Technologies:
Single-cell RNA-seq: To understand cell-type-specific roles of ATL42
Single-cell proteomics: To measure protein-level changes at cellular resolution
Spatial transcriptomics: To map ATL42 expression patterns in intact tissues
Structural Biology Approaches:
Cryo-EM: To determine structures of ATL42 complexes
Integrative structural biology: Combining multiple structural techniques
AlphaFold2 and structure prediction: To model ATL42 interactions with substrates and E2 enzymes
Systems Biology Integration:
Multi-omics data integration: To place ATL42 in regulatory networks
Machine learning approaches: To predict ATL42 substrates and functions
Network modeling: To understand system-wide effects of ATL42 perturbation
These technologies could significantly accelerate our understanding of ATL42 function beyond what has been achieved for other ATL family members.
Based on the current state of knowledge, several key questions about ATL42 warrant investigation:
Substrate Identification and Specificity:
What are the physiological substrates of ATL42?
How does ATL42 achieve substrate specificity?
Are substrates constitutively recognized or only under specific conditions?
Physiological Function:
What is the primary biological role of ATL42 in Arabidopsis?
Does ATL42 function in plant immunity like other ATL family members?
What phenotypes are associated with ATL42 knockout or overexpression?
Regulation Mechanisms:
How is ATL42 expression regulated at the transcriptional level?
Are there post-translational modifications that regulate ATL42 activity?
Which signaling pathways modulate ATL42 function?
E2 Enzyme Partnerships:
Which E2 ubiquitin-conjugating enzymes preferentially work with ATL42?
Does ATL42 promote specific ubiquitin chain topologies?
How do E2-ATL42 interactions influence substrate selection?
Structural Determinants of Function:
What is the three-dimensional structure of ATL42?
Which residues outside the RING domain contribute to function?
How does membrane association influence ATL42 activity?
Evolutionary Context:
Why has the ATL family expanded so extensively in plants?
How has subfunctionalization occurred within the ATL family?
Are there fundamental differences between ATL42 orthologs across plant species?
Integration in Plant Systems:
How does ATL42 function coordinate with other ubiquitin ligases?
Does ATL42 participate in specific developmental transitions?
How does ATL42 contribute to plant environmental responses?