RLM3 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
RLM3 antibody; At4g16990 antibody; dl4525w antibody; Disease resistance protein RLM3 antibody; EC 3.2.2.6 antibody; Protein RESISTANCE TO LEPTOSPHAERIA MACULANS 3 antibody
Target Names
RLM3
Uniprot No.

Target Background

Function
RLM3 is a TIR-NB-LRR receptor-like protein that plays a crucial role in conferring resistance to various pathogens, including *Leptosphaeria maculans* (blackleg disease), *Botrytis cinerea*, *Alternaria brassicicola*, and *Alternaria brassicae*. This protein is essential for the efficient deposition of callose downstream of RLM1 during infection with *L. maculans*.
Gene References Into Functions
  1. The rapid cloning of *Leptosphaeria maculans* 3 (RLM3(Col)), which encodes a putative Toll interleukin-1 receptor-nucleotide binding (TIR-NB) class protein, has been reported. This protein is involved in defense against fungal pathogens. PMID: 18397376
Database Links

KEGG: ath:AT4G16990

STRING: 3702.AT4G16990.2

UniGene: At.4452

Q&A

FAQs for RLM3-Related Research in Plant Immunity

Advanced Research Questions

  • How to resolve contradictions in RLM3’s role across necrotrophic vs. biotrophic pathogens?

    • Hypothesis testing:

      • RLM3 may regulate distinct defense pathways. For example, it influences callose deposition (anti-necrotrophic) but not JA/ET signaling .

      • Test cross-talk with salicylic acid (SA) pathways using SA biosynthesis mutants.

      • Leverage transcriptomics to identify RLM3-dependent genes (e.g., WRKY60 repression) .

  • What structural features of RLM3 enable broad-spectrum recognition of fungal effectors?

    • Findings:

      • RLM3 recognizes LARS-family effectors (e.g., AvrLm3, Ecp11-1) via conserved motifs .

      • Critical residues for effector binding (e.g., AvrLm3 I58, G131, F134) were identified through allele mining .

    • Experimental design:

      • Use site-directed mutagenesis on AvrLm3 homologs (e.g., F. oxysporum effectors) and test recognition in RLM3-transgenic plants .

      • Employ cryoEM or AlphaFold2 to model RLM3-effector complexes .

Methodological Challenges & Solutions

  • How to address variability in RLM3 expression across plant tissues?

    • Solutions:

      • Quantify splice variants via RT-PCR and Nanopore sequencing .

      • Normalize expression data using housekeeping genes validated for Brassica napus (e.g., ACTIN2).

  • What bioinformatics tools are optimal for analyzing RLM3-linked immune networks?

    • Tools:

      • ExpoSeq: For antibody-like sequence analysis in effector recognition .

      • ModelAngelo: Integrates cryoEM density maps to guide antibody/effector-binding site modeling .

      • Antibody Analytics: Predicts developability of synthetic antibodies for functional studies .

Data Contradiction Analysis

  • Why does RLM3 knockout increase susceptibility to some pathogens but not others?

    • Resolution:

      • Pathogen-specific effector recognition: RLM3 targets LARS-family effectors but not others (e.g., B. cinerea effectors) .

      • Redundant pathways: RLM1/RLM2 may compensate in certain contexts .

Key Research Gaps

  • Role of RLM3 in transcriptional regulation (e.g., nuclear RCC1 proteins) .

  • Engineering RLM3 homologs in non-host species for broad-spectrum resistance .

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