Recombinant Magnaporthe oryzae Altered Inheritance of Mitochondria Protein 31, mitochondrial (AIM31) is a recombinant protein derived from the pathogenic fungus Magnaporthe oryzae. This fungus is notorious for causing rice blast disease, a significant threat to global rice production . The AIM31 protein is specifically involved in mitochondrial dynamics and inheritance within the fungal cells. Here, we delve into the details of this protein, its recombinant form, and its significance in research.
The recombinant AIM31 protein is expressed in Escherichia coli and is fused with an N-terminal His tag for easy purification and identification . This protein spans 213 amino acids (1-213aa) and is identified by the accession number A4RI25. The recombinant form is available as a lyophilized powder, making it convenient for storage and transportation.
| Specification | Description |
|---|---|
| Protein Name | Recombinant Full Length Magnaporthe oryzae Altered Inheritance Of Mitochondria Protein 31, mitochondrial (AIM31) |
| Expression Host | Escherichia coli |
| Tag | N-terminal His tag |
| Amino Acids | 1-213aa |
| Accession Number | A4RI25 |
| Form | Lyophilized powder |
While specific research findings on AIM31 are scarce, studies on mitochondrial dynamics in fungi highlight the importance of these processes in fungal development and pathogenicity. For example, in yeast, mitochondrial-associated F-box proteins like Mdm30 are crucial for mitochondrial remodeling during sporulation, affecting mitochondrial inheritance in spores . Similarly, in Magnaporthe oryzae, understanding mitochondrial dynamics could provide insights into the pathogen's lifecycle and virulence mechanisms.
Further research is needed to elucidate the specific role of AIM31 in Magnaporthe oryzae. Investigating its involvement in mitochondrial dynamics and its impact on fungal pathogenicity could offer new avenues for disease control strategies. Additionally, studying the recombinant AIM31 protein could facilitate a deeper understanding of its biochemical properties and potential applications in biotechnology.
KEGG: mgr:MGG_07223
STRING: 318829.MGG_07223T0
Magnaporthe oryzae is the causal agent of rice blast disease and serves as an important model fungal pathogen for understanding plant-fungus interactions. This organism has become a central model for studying mitochondrial proteins in filamentous fungi due to its genetic tractability and the availability of genomic resources. M. oryzae has a fully sequenced genome as part of the Broad Fungal Genome Initiative's Magnaporthe comparative project, which includes both M. oryzae (formerly M. grisea) and draft assemblies of related species .
The significance of M. oryzae for mitochondrial research stems from its well-characterized pathogenicity mechanisms and the critical role of cellular energetics during infection processes. Many mitochondrial proteins, including those involved in inheritance patterns, are essential for proper fungal development and plant infection.
Studying mitochondrial inheritance in M. oryzae typically employs several complementary approaches:
Genetic approaches: Creating targeted gene deletions of mitochondrial proteins (like what has been done with genes such as MoSOM1 and MoCDTF1) to assess their roles in mitochondrial function and inheritance .
Microscopy techniques: Utilizing fluorescently tagged mitochondrial proteins (such as the MoSom1-GFP and MoCdtf1-GFP fusion proteins described in the literature) to track subcellular localization during different developmental stages .
Transcriptional profiling: Measuring expression levels of mitochondrial protein-encoding genes using quantitative RT-PCR as demonstrated in studies of genes like MPG1 and MHP1 .
Heteroplasmy analysis: Examining the ratio of mutated to non-mutated mitochondrial genes, which can provide insights into inheritance patterns and selection pressures .
For specifically studying AIM31, researchers would apply these methodologies to track protein localization, expression patterns during different developmental stages, and phenotypic consequences of gene deletion or mutation.
For studying recombinant M. oryzae proteins including mitochondrial proteins like AIM31, several experimental systems have proven effective:
Yeast two-hybrid (Y2H) assays: Used to identify protein-protein interactions, as demonstrated in studies of Pmk1-interacting proteins where novel interacting clones were identified .
Coimmunoprecipitation assays: Used to confirm protein interactions identified through Y2H screens, as shown in confirmation studies of Pmk1 with Pic1 and Pic5 .
Targeted gene deletion: Creating knockout mutants through homologous recombination to assess phenotypic consequences, as seen in studies of PIC1 and PIC5 deletion mutants .
Genetic complementation: Reintroducing wild-type genes into deletion mutants to confirm gene function, a standard approach in M. oryzae studies .
Protein localization studies: Using fluorescent fusion proteins to determine subcellular localization, similar to the nuclear localization studies performed with MoSom1-GFP and MoCdtf1-GFP .
For AIM31 specifically, these systems would allow researchers to characterize its interactions, localization, and functional significance in mitochondrial inheritance.
Heteroplasmy—the coexistence of mutated and non-mutated mitochondrial genes within cells—has profound implications for mitochondrial protein function and inheritance in fungi including M. oryzae. Research on mitochondrial inheritance indicates that the ratio of mutant to wild-type mitochondrial DNA is established prenatally but can be modified during subsequent transmission .
The determination of mutation levels in tRNA genes, unlike protein-coding genes, occurs during embryonic development of the female germline. This explains why mutation levels can vary significantly among offspring from the same mother . For mitochondrial proteins like AIM31, this heteroplasmic variation could potentially affect:
Protein expression levels and functionality
Compensatory mechanisms to overcome mitochondrial defects
Developmental outcomes during fungal morphogenesis
Pathogenicity potential during plant infection
Understanding these variations requires careful experimental design, including:
Generation of mouse models carrying pathogenic mutations in mitochondrial genes
Analysis of mutation levels across different developmental stages
Examination of compensatory mechanisms that arise in response to mitochondrial defects
These findings from general mitochondrial inheritance research provide a framework for studying specific proteins like AIM31 in M. oryzae.
The cAMP/PKA signaling pathway is crucial for regulating plant infection by M. oryzae, controlling infection-related morphogenesis including sporulation and appressorium formation . While direct evidence linking AIM31 to this pathway is not established in the available literature, research on analogous mitochondrial proteins suggests several potential interactions:
Regulatory proteins like MoSom1 and MoCdtf1 function downstream of the cAMP/PKA pathway and are essential for cellular differentiation during plant infection . These transcriptional regulators interact with the catalytic subunit of protein kinase A (CpkA), suggesting a direct connection between mitochondrial function and signaling cascades that regulate pathogenicity .
For researchers investigating AIM31's role in this pathway, recommended approaches include:
Examining AIM31 expression levels in mutants defective in cAMP/PKA signaling (such as Δmac1 and ΔcpkA mutants)
Testing for physical interactions between AIM31 and known components of the pathway using yeast two-hybrid and coimmunoprecipitation assays
Creating AIM31 deletion mutants and assessing their phenotypes for defects in appressorium formation and pathogenicity
Conducting transcriptional profiling to identify changes in gene expression associated with AIM31 disruption
Appressorium differentiation is critical for M. oryzae pathogenicity, and mitochondrial proteins play essential roles in this process. Studies of Pmk1-interacting proteins reveal that novel proteins like Pic5 significantly affect appressorium differentiation and subsequent pathogenesis .
For mitochondrial proteins like AIM31, their potential influence on appressorium differentiation may include:
Energy provision for the morphogenetic changes required during appressorium formation
Regulation of signaling cascades that control differentiation
Control of cell wall integrity during appressorium development
Management of cellular stress responses during host penetration
Experimental approaches to investigate this include:
Detailed phenotypic analysis of germ tube growth and appressorium differentiation in AIM31 mutants
Assessment of appressorial penetration efficiency on plant surfaces
Examination of virulence in planta following inoculation with mutant strains
Analysis of cell wall composition and integrity in developing appressoria
The study of Pic5 demonstrates that proteins involved in these processes can be identified through interaction screening with key regulators like Pmk1 , suggesting similar approaches could be valuable for elucidating AIM31 function.
Based on successful approaches with other M. oryzae proteins, the following techniques are recommended for studying AIM31 subcellular localization:
Fluorescent protein fusion constructs: Creating AIM31-GFP fusion proteins allows direct visualization of the protein within living cells. This approach successfully demonstrated the nuclear localization of MoSom1 and MoCdtf1 . For mitochondrial proteins like AIM31, this would be particularly valuable for confirming mitochondrial targeting.
Site-directed mutagenesis: Mutating potential localization signal sequences to confirm their functional importance, as demonstrated with nuclear localization signals in MoSom1 and MoCdtf1 .
Subcellular fractionation: Isolating mitochondrial fractions followed by Western blotting to detect AIM31 in different cellular compartments.
Immunogold electron microscopy: For ultra-high resolution localization studies that can precisely position AIM31 within mitochondrial subcompartments.
Live-cell imaging: To track dynamic changes in AIM31 localization during different developmental stages and infection-related processes.
The choice between these techniques should be guided by the specific research question, with combinations of approaches providing the most robust evidence for protein localization.
Based on established protocols in M. oryzae genetics, the following comprehensive approach is recommended for AIM31 knockout studies:
Targeted gene deletion through homologous recombination:
Design constructs with selection markers flanked by sequences homologous to regions upstream and downstream of the AIM31 gene
Transform M. oryzae protoplasts with the deletion construct
Select transformants on appropriate media
Verification of knockout mutants:
PCR verification using primers that span the deletion site
Southern blot analysis to confirm single integration events
RT-PCR or qRT-PCR to verify absence of AIM31 transcript
Western blotting to confirm absence of AIM31 protein
Phenotypic characterization:
Assess vegetative growth on different media
Examine conidiation and conidiophore development
Evaluate appressorium formation and function
Test pathogenicity on host plants
Examine sexual reproduction capability
Complementation studies:
Reintroduce the wild-type AIM31 gene to confirm that phenotypic defects are directly attributable to the gene deletion
Consider introducing site-directed mutants to identify critical functional domains
This systematic approach has proven effective for characterizing the functions of genes like MoSOM1, MoCDTF1, PIC1, and PIC5 in M. oryzae .
To comprehensively investigate AIM31 protein interactions, researchers should employ multiple complementary approaches:
Yeast two-hybrid (Y2H) screening:
Coimmunoprecipitation (Co-IP) assays:
Generate tagged versions of AIM31 (e.g., FLAG, HA, or MYC tags)
Express tagged proteins in M. oryzae
Immunoprecipitate AIM31 and identify co-precipitating proteins by mass spectrometry
Bimolecular Fluorescence Complementation (BiFC):
Create fusion constructs of AIM31 and potential interacting partners with split fluorescent protein fragments
Coexpress in M. oryzae and visualize reconstituted fluorescence at sites of protein interaction
Proximity-dependent biotin identification (BioID):
Fuse AIM31 to a biotin ligase
Identify proximal proteins that become biotinylated
This method is particularly useful for identifying transient interactions
Genetic interaction studies:
Create double mutants of AIM31 and other mitochondrial genes
Analyze phenotypes for evidence of synthetic lethality or enhancement/suppression of phenotypes
These approaches have successfully revealed interactions between proteins in M. oryzae signaling pathways, such as the interaction between MoSom1 and the transcription factors MoCdtf1 and MoStu1 .
When analyzing alterations in mitochondrial inheritance patterns in AIM31 mutants, researchers should consider multiple factors:
Heteroplasmy analysis:
Measure the ratio of mutant to wild-type mtDNA in different tissues and developmental stages
Compare with known patterns in mitochondrial tRNA gene mutations, which are determined prenatally but modified during subsequent transmission
Assess whether AIM31 mutations affect the selection or transmission of particular mtDNA variants
Developmental timing assessment:
Compensatory mechanism identification:
Look for evidence of molecular compensation for mitochondrial defects
Analyze expression of other mitochondrial proteins that might be upregulated in response to AIM31 deficiency
Document any adaptations that occur in mitochondrial structure or function
Statistical approaches:
Use appropriate statistical methods to distinguish random drift from directed selection in mitochondrial inheritance
Account for sample variability when analyzing heteroplasmy levels
Consider modeling approaches to predict inheritance patterns across generations
Interpretation should acknowledge that mitochondrial inheritance is complex and influenced by multiple factors beyond single protein functions.
Multiple independent mutant lines:
Generate and test at least 3 independent AIM31 knockout lines to rule out insertional effects
Include ectopic integration mutants as controls
Complementation controls:
Reintroduce wild-type AIM31 to verify phenotype restoration
Use both native promoter and constitutive promoter versions for comprehensive assessment
Parallel wild-type infections:
Always include wild-type strains as positive controls in pathogenicity assays
Use standardized inoculum preparation methods to ensure comparability
Multiple host plant varieties:
Test pathogenicity on diverse rice varieties to assess host-specific effects
Include known susceptible and resistant varieties as benchmarks
Environmental variable controls:
Test pathogenicity under different temperature and humidity conditions
Control for plant age and growth conditions
Temporal assessment:
Monitor disease progression at multiple timepoints
Document both early penetration events and later colonization phases
Quantitative measurements:
Use quantitative PCR to measure fungal biomass in planta
Quantify lesion size, number, and characteristics
Assess spore production from lesions
These control experiments are based on established methodologies used in studies of MoSOM1, MoCDTF1, and Pmk1-interacting genes , which demonstrated their essential roles in M. oryzae pathogenicity.
Several cutting-edge technologies show promise for elucidating AIM31 function:
CRISPR-Cas9 genome editing:
Enables precise modification of AIM31 to create point mutations rather than complete deletions
Allows tagging of endogenous AIM31 at either terminus without disrupting genomic context
Facilitates creation of conditional alleles through inducible promoter swapping
Single-cell RNA sequencing:
Permits analysis of transcriptional effects of AIM31 mutation with cellular resolution
Can reveal heterogeneity in mitochondrial function within fungal populations
May identify cell-specific compensation mechanisms
Proteomics approaches:
Quantitative proteomics to measure changes in the mitochondrial proteome in AIM31 mutants
Phosphoproteomics to identify AIM31-dependent signaling pathways
Protein turnover analysis to assess stability of mitochondrial proteins in the absence of AIM31
Advanced imaging techniques:
Super-resolution microscopy for detailed mitochondrial morphology analysis
Live-cell imaging with improved temporal resolution to track dynamic changes during infection
Correlative light and electron microscopy to connect protein localization with ultrastructural features
Metabolomics:
Comprehensive profiling of metabolic changes in AIM31 mutants
Analysis of energy metabolism during appressorium formation and host penetration
Identification of metabolic signatures associated with altered mitochondrial function
These technologies could significantly advance our understanding of how mitochondrial proteins like AIM31 contribute to fungal development and pathogenicity.
Research on mitochondrial proteins like AIM31 in M. oryzae has broader implications:
Comparative genomics applications:
The Magnaporthe comparative genomics project provides a framework for identifying AIM31 orthologs in related species like Gaeumannomyces graminis var. tritici and M. poae
Functional conservation can be assessed across diverse fungal pathogens
Evolutionary patterns in mitochondrial inheritance genes can reveal adaptive strategies
Translational research opportunities:
Commonalities in mitochondrial function across fungal pathogens may reveal conserved targets for antifungal development
Understanding species-specific adaptations in mitochondrial inheritance could explain host specialization
Knowledge of energy requirements during infection may identify metabolic vulnerabilities common to multiple pathogens
Methodological transferability:
Experimental approaches developed for M. oryzae can be adapted for less well-characterized fungi
Heteroplasmy analysis techniques have relevance across fungal species and potentially for human mitochondrial disease research
Protein interaction screening methods established for M. oryzae proteins like Pmk1 can be applied to study AIM31 homologs in other systems