Recombinant Linum usitatissimum MLO-like protein refers to a version of the Mildew Resistance Locus O (MLO) protein produced using recombinant DNA technology in Linum usitatissimum (flax). MLO proteins, found in plants, are involved in various developmental processes . Specifically, they contain seven transmembrane domains and a conserved calmodulin-binding domain .
Recombinant proteins are produced by introducing the gene encoding the desired protein into a host organism (e.g., E. coli) and inducing the host to express the protein . The recombinant Linum usitatissimum MLO-like protein is full length, contains between 1-217 amino acids, and is fused to an N-terminal His tag .
Role in Plant Development: MLO proteins have a part in plant development . For instance, Arabidopsis MLO4 interacts with CML12 and impacts root gravity response .
Involvement in Disease Resistance: MLO genes can affect resistance to powdery mildew in flax .
QTN Identification: Quantitative trait nucleotide (QTN) Lu13-1749576, which relates to powdery mildew resistance, was found in the gene region of the MLO ortholog Lus10001336 .
Candidate Genes for Genome Editing: MLO genes, including Lus10001336, are candidates for genome editing to improve resistance to powdery mildew .
RGAs and Disease Resistance: MLO genes are included among resistance gene analogues (RGAs) like NLR, RLK, and WRKY genes .
QTL Mapping: Studies use quantitative trait loci (QTL) mapping to identify genes, such as FLAVONOID 3′5′ HYDROXYLASE (F3′5′H), involved in specific traits in Linum usitatissimum .
Genomic Prediction: Genomic prediction uses identified QTNs for resistance breeding . For example, in flax, 349 QTNs can be used for powdery mildew resistance .
One study found that the MLO4 protein interacts with CML12, suggesting a role in root gravity response . The mlo4, cml12, and mlo4 cml12 mutants showed similar defects in root gravity response, indicating that MLO and CaM/CML families may have a conserved interaction .
The following table summarizes candidate genes associated with powdery mildew (PM) resistance in flax, based on identified quantitative trait nucleotides (QTNs):
| Gene ID | Chromosome | Position (Mb) | R2 (%) | Gene Type |
|---|---|---|---|---|
| Lus10001336 | 13 | 1.7 | 1.23 | MLO ortholog |
| Lus10007812 | 8 | 18.3 | 11.49 | TNL |
| Lus10004726 | 5 | 1.5 | 27.83 | TNL |
| Lus10004727 | 5 | 1.5 | 24-28 | TNL |
| Lus10004719 | 5 | 1.4 | 32.06 | TNL |
| Lus10029860 | 5 | 1.5-13.3 | >20 | TNL |
| Lus10032303 | 5 | 1.5-13.3 | 24 | WRKY |
| Lus10027903 | 12 | N/A | 20 | RLP |
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May be involved in the modulation of pathogen defense mechanisms and leaf cell death.
Contradictions often arise from:
Genetic background effects: QTNs for PM resistance show varying penetrance across flax accessions (e.g., R² = 10–30% for 44 stable QTNs) .
Functional redundancy: Paralogs like MLO2 and MLO3 may compensate in knockout lines .
Multi-model GWAS: Combine single-locus (GLM) and multi-locus (mrMLM) analyses to detect major/minor QTNs .
CRISPR-Cas9 multiplex editing: Simultaneous knockout of all MLO homologs .
Nanoparticle-induced variation is quantified via:
Primer design: Gene-specific primers for Mlo (220 bp) and Pme3 (560 bp) .
Sanger sequencing: Comparison of donor plant vs. callus/regenerant sequences .
Variation scoring: Calculated as % nucleotide differences relative to the donor .
| Control | Au Nanoparticles | Ag Nanoparticles | |
|---|---|---|---|
| Mlo SV (%) | Baseline | 14.68 ± 0.98 | 12.01 ± 0.43 |
| Pme3 SV (%) | Baseline | 2.07 ± 0.87 | 10.04 ± 0.46 |
Phylogenetic analysis: Cluster MLO homologs with orthologs from Arabidopsis and barley .
Cross-species complementation: Express flax MLO in Arabidopsis mlo mutants to test functional conservation .
Co-expression networks: Identify shared regulatory nodes using RNA-seq data from PM-infected tissues .
AlphaFold2 predictions: Generate 3D models using the 217-aa sequence (1-217) .
Molecular dynamics simulations: Test stability of transmembrane helices in lipid bilayers .
Docking studies: Screen for interaction hotspots with fungal Avr proteins using HADDOCK .
Transcriptome-proteome correlation: Match RNA-seq data with LC-MS/MS protein abundance profiles .
Metabolomic integration: Link MLO expression shifts with defense metabolite (e.g., lignans) levels .
eQTL mapping: Identify SNPs regulating MLO expression under biotic stress .
GWAS stability: 44 QTNs for PM resistance showed R² >10% across 8 years of field trials .
Structural insights: AlphaFold2 predicts a cytoplasmic C-terminal domain with 92% confidence .
Somaclonal variation: Au nanoparticles increased Mlo SV by 14.68% vs. 12.01% for Ag .