The Recombinant Arabidopsis thaliana Uncharacterized Ribosomal S3-Like Protein AtMg00690, Mitochondrial (AtMg00690) is a protein derived from the model organism Arabidopsis thaliana. This protein is of particular interest due to its mitochondrial localization and its classification as an uncharacterized ribosomal S3-like protein. The recombinant form of this protein is expressed in Escherichia coli and is often used for research purposes to understand its function and potential roles within plant mitochondria.
Mitochondrial proteins like AtMg00690 could be involved in various processes such as protein synthesis, mitochondrial biogenesis, or stress response. The uncharacterized nature of this protein suggests that further research is needed to elucidate its specific functions.
SDS-PAGE: The recombinant AtMg00690 protein is suitable for SDS-PAGE analysis, allowing researchers to study its expression and purification.
Antibody Development: Antibodies against AtMg00690 are available, facilitating the detection and localization of this protein in plant tissues .
KEGG: ath:ArthMp062
STRING: 3702.ATMG00690.1
AtMg00690 (alternatively annotated as orf240a) is a protein encoded by the mitochondrial genome of Arabidopsis thaliana. It is classified as an uncharacterized ribosomal S3-like protein based on sequence homology analysis revealing structural similarities to S3 ribosomal proteins, but with insufficient experimental validation of its precise function. The protein is categorized in the "Other" group of mitochondrial-encoded genes, distinct from established functional categories such as electron transport chain components or ribosomal proteins .
Methodological approach: Functional classification typically combines computational approaches (sequence alignment, motif identification, structural predictions) with experimental validation. For uncharacterized proteins like AtMg00690, researchers should implement both in silico analysis using tools like BLAST, Pfam, and AlphaFold, followed by in vivo studies using recombinant protein expression and functional assays to elucidate its precise role in mitochondrial ribosomes.
According to comprehensive expression analysis of mitochondrial genes during sugar starvation and refeeding in Arabidopsis cell cultures, AtMg00690 (orf240a) demonstrates distinctive expression patterns. The protein shows a mild increase (0.4) in expression at 19 hours after sugar starvation, maintains moderate upregulation (0.3) at 48 hours of starvation, and then exhibits a dramatic downregulation (-3.4) after 24 hours of sugar refeeding . This expression pattern differs from many nuclear-encoded mitochondrial proteins, which typically decrease during starvation and increase upon refeeding.
Table 1: Expression Changes of AtMg00690 (orf240a) During Sugar Starvation and Refeeding
| Gene | Gene ID | Expression change at 19h starvation | Expression change at 48h starvation | Expression change at 24h refeeding |
|---|---|---|---|---|
| orf240a | AtMg00690 | 0.4 | 0.3 | -3.4 |
Methodological approach: Researchers studying expression patterns should implement RT-qPCR validation following microarray results, with careful selection of reference genes that remain stable under the experimental conditions. For mitochondrial genes, normalization against multiple mitochondrial and nuclear housekeeping genes is recommended to account for potential variations in mitochondrial content per cell.
For isolation and purification of recombinant AtMg00690 protein, researchers should implement a specialized protocol that accounts for its mitochondrial origin and potential membrane association. The recommended approach involves:
Gene synthesis and codon optimization for the expression system (typically E. coli)
Fusion with appropriate tags (His6, GST, or MBP) to facilitate purification
Expression in E. coli strains optimized for membrane or difficult-to-express proteins (C41(DE3) or Rosetta™)
Mild solubilization using non-ionic detergents (0.5-1% n-dodecyl β-D-maltoside)
Affinity chromatography followed by size exclusion chromatography
Critical considerations include optimizing expression temperature (typically 18-20°C), inducer concentration, and expression duration (16-20 hours) to maximize soluble protein yield. For functional studies, the recombinant protein must retain native folding and activity, which should be verified through circular dichroism and activity assays.
To definitively establish the submitochondrial localization of AtMg00690, researchers should implement complementary approaches:
GFP fusion constructs: Creating C-terminal and N-terminal GFP fusions with AtMg00690 for expression in Arabidopsis cell cultures, similar to the approach used in studies of mitochondrial biogenesis where GFP was fused with ATP synthase targeting sequences .
Immunogold electron microscopy: Developing specific antibodies against recombinant AtMg00690 for high-resolution localization within mitochondrial subcompartments.
Biochemical fractionation: Separating mitochondrial membrane and matrix fractions followed by western blotting to determine the protein's compartmental distribution.
Proximity labeling approaches: Using APEX2 or BioID fusions to identify proximal interacting proteins that may indicate functional location.
For optimal results, researchers should first confirm basic mitochondrial targeting using confocal microscopy with mitochondrial markers (such as MitoTracker), followed by higher-resolution approaches. Studies have demonstrated that fluorescent protein fusions can effectively track changes in mitochondrial abundance during stress conditions, with decreased fluorescence observed during sugar starvation (approximately 48% reduction after 48 hours) and recovery after sucrose readdition .
AtMg00690 demonstrates a distinctive stress response pattern compared to well-characterized mitochondrial proteins. While the mitochondrial stress response (MSR) typically involves upregulation of proteins like alternative oxidases, NAD(P)H dehydrogenases, and heat shock proteins , AtMg00690 shows a more complex regulation pattern.
Based on comparative analysis with other stress-responsive mitochondrial proteins, AtMg00690 differs from the 45 nuclear-encoded mitochondrial genes identified as widely stress-responsive . Its expression pattern during sugar starvation (moderate upregulation) followed by dramatic downregulation upon refeeding suggests it may function in adaptation to low energy conditions rather than in classical stress response pathways.
Methodological approach: For comprehensive stress response characterization, researchers should expose Arabidopsis seedlings or cell cultures to multiple stress conditions (oxidative, heat, cold, drought, salt) with time-course sampling, followed by RT-qPCR and western blot analysis. This multi-stress, multi-timepoint approach helps distinguish between general and specific stress responses.
RNA methylation, particularly N6-methyladenosine (m6A) modification, may significantly influence AtMg00690 expression. High-throughput m6A-seq analysis of Arabidopsis mitochondrial transcriptomes has revealed extensive m6A methylation patterns, with over 86% of mitochondrial transcripts being methylated and approximately 4.6 to 4.9 m6A sites per transcript .
For AtMg00690, RNA methylation could influence:
Transcript stability and degradation rates
Translation efficiency in mitochondrial ribosomes
Secondary structure affecting protein binding
Splicing regulation (if applicable)
Methodological approach: To investigate m6A modification of AtMg00690 transcripts, researchers should employ:
m6A-specific immunoprecipitation followed by targeted PCR or sequencing
SCARLET (Site-specific Cleavage And Radioactive-labeling followed by Ligation-assisted Extraction and Thin-layer chromatography) for precise site identification
Comparison of methylation patterns across stress conditions and developmental stages
Functional studies with methyltransferase mutants (MTA, MTB) to assess impacts on expression
Modifying mitochondrial genes presents unique challenges due to the inability of conventional CRISPR-Cas9 systems to access the mitochondrial matrix. For targeting AtMg00690, researchers should consider these advanced approaches:
Mitochondria-targeted nucleases: Utilizing mitoTALENs (mitochondria-targeted transcription activator-like effector nucleases) with customized recognition domains for AtMg00690.
Base editors with mitochondrial targeting: Employing DddA-derived cytosine base editors (DdCBEs) fused to mitochondrial targeting sequences for precise C-to-T conversions without double-strand breaks.
RNA-targeting approaches: Using mitochondria-targeted CRISPR-Cas13 systems to modify or regulate AtMg00690 transcripts rather than the gene itself.
Allotopic expression: Engineering nuclear versions of AtMg00690 with appropriate mitochondrial targeting sequences to complement mitochondrial gene dysfunction.
These approaches require careful design of targeting constructs, optimization of mitochondrial import efficiency, and sensitive detection methods to verify editing success. Unlike nuclear genome editing, mitochondrial editing often results in heteroplasmy (mixed populations of edited and unedited organellar genomes), requiring quantitative assessment of editing efficiency.
Investigating protein-protein interactions for mitochondrial proteins requires specialized approaches that account for the unique biochemical environment of this organelle. For AtMg00690, recommended methodologies include:
Proximity-dependent biotin identification (BioID): Fusing AtMg00690 with a promiscuous biotin ligase to label proximal proteins in vivo, followed by streptavidin pulldown and mass spectrometry identification.
Split-GFP complementation: Creating fusion constructs with complementary GFP fragments to visualize interactions with candidate partners in planta.
Co-immunoprecipitation with crosslinking: Utilizing membrane-permeable crosslinkers to stabilize transient interactions before mitochondrial isolation and immunoprecipitation.
Hydrogen-deuterium exchange mass spectrometry (HDX-MS): Identifying interaction interfaces by measuring deuterium incorporation rates in the presence and absence of binding partners.
Each approach offers distinct advantages: BioID captures both stable and transient interactions in the native cellular context; split-GFP provides spatial information; crosslinking-IP helps identify low-abundance interactors; and HDX-MS provides structural insights into interaction domains.
Evolutionary analysis of AtMg00690 across plant species can provide critical insights into its conservation, functional constraints, and potential role. A recommended methodological framework includes:
Comprehensive ortholog identification across diverse plant lineages using reciprocal BLAST searches and synteny analysis.
Multiple sequence alignment to identify conserved domains and critical residues that may indicate functional importance.
Selection pressure analysis (dN/dS ratios) to identify regions under purifying or positive selection.
Phylogenetic reconstruction to map the evolutionary history of the gene and detect potential duplication or loss events.
Correlation analysis with known ecological or physiological traits across species.
This evolutionary approach can reveal whether AtMg00690 represents an ancestral ribosomal-like protein that has acquired new functions or retains conserved roles across plant lineages. Particular attention should be paid to species that have undergone mitochondrial genome restructuring to determine if AtMg00690 has been consistently retained, suggesting functional importance.
For predicting post-translational modifications (PTMs) of AtMg00690, researchers should implement a multi-layered computational strategy:
PTM-specific prediction tools:
Phosphorylation: NetPhos, PhosphoSite, GPS
Acetylation: PAIL, GPS-PAIL
Ubiquitination: UbPred, UbiSite
Methylation: MethylSVM, GPS-MSP
Structural context analysis:
Mapping predicted PTMs onto 3D structural models (AlphaFold2-generated)
Assessing surface accessibility of potential modification sites
Analyzing proximity to functional domains
Conservation-based filtering:
Prioritizing PTM sites conserved across species
Identifying PTM motifs shared with characterized proteins
Integration with available proteomics data:
Cross-referencing with published mitochondrial PTM datasets
Identifying condition-specific modification patterns
Following computational prediction, experimental validation using targeted mass spectrometry approaches is essential. For mitochondrial proteins like AtMg00690, researchers should consider whether predicted PTMs might regulate protein-protein interactions, submitochondrial localization, or response to stress conditions.
For uncharacterized mitochondrial proteins like AtMg00690, the most promising research avenues combine complementary approaches:
Integrative omics analysis:
Correlating expression patterns with known mitochondrial pathways across multiple stresses and developmental stages
Identifying co-expression networks to suggest functional relationships
Integrating proteomics, transcriptomics, and metabolomics data
Reverse genetic approaches:
Creating knockdown/knockout lines using optimized mitochondrial genome editing techniques
Phenotypic characterization under multiple growth conditions
Complementation studies with structural variants
Structural biology:
Determining high-resolution structures through cryo-EM or X-ray crystallography
Identifying potential binding pockets or interaction surfaces
Structure-guided mutagenesis to test functional hypotheses
Comparative studies across species:
Functional testing in heterologous systems
Cross-species complementation experiments
Correlation with species-specific mitochondrial characteristics
These approaches, when implemented systematically, offer the most comprehensive path to functional characterization of proteins like AtMg00690, potentially revealing novel aspects of mitochondrial biology and plant stress responses.
AtMg00690 represents an intriguing candidate for understanding bidirectional communication between mitochondria and the nucleus in plants. The dramatic expression changes observed during sugar starvation and refeeding experiments (-3.4 log2 fold change upon refeeding) suggest it may participate in retrograde signaling pathways that communicate mitochondrial status to the nucleus.
Future research should investigate:
Whether AtMg00690 expression changes are causes or consequences of altered mitochondrial biogenesis during stress conditions
Potential role in coordinating expression between mitochondrial and nuclear genomes, particularly during recovery from stress
Relationship to known retrograde signaling pathways such as those involving alternative oxidases and NAD(P)H dehydrogenases
Possible role in post-transcriptional regulation through RNA modifications, given the extensive m6A methylation observed in mitochondrial transcripts