Subtopic Deep Dive

Agrobacterium-Mediated Transformation
Research Guide

What is Agrobacterium-Mediated Transformation?

Agrobacterium-Mediated Transformation is a genetic engineering method using Agrobacterium tumefaciens to transfer T-DNA from Ti plasmids into plant cells for stable transgene integration during tissue culture and regeneration.

This technique relies on binary vectors and vir region functions for efficient DNA delivery (Bevan, 1984; 2160 citations). Protocols optimize infection timing, selection markers, and explant types for species like rice and Arabidopsis (Toki et al., 2006; Gelvin, 2003). Over 10 key papers since 1983 detail vector construction and transformation efficiency improvements.

Curated Papers

Key Challenges

Why It Matters

Agrobacterium-mediated transformation enables precise gene function studies and trait enhancement in crops, such as phenylpropanoid pathway regulation via activation tagging (Borevitz et al., 2000; 1459 citations). It supports secondary metabolite production in Cannabis sativa through genetic modifications (André et al., 2016). Gelvin (2003; 1330 citations) reviews its role in functional genomics, facilitating rice blast resistance via targeted mutagenesis (Wang et al., 2016).

Key Research Challenges

Low Transformation Efficiency

Many plant species show variable T-DNA integration rates due to genotype and explant sensitivity (Gelvin, 2003). Optimization requires adjusting co-cultivation duration and acetosyringone levels (Toki et al., 2006). Binary vector design impacts stable transformation success (Bevan, 1984).

Species-Specific Protocol Optimization

Recalcitrant species like rice demand early scutellum infection for high-speed transformation (Toki et al., 2006). Protoplast systems aid transient expression but limit regeneration (Zhang et al., 2011). Genotype-dependent barriers hinder broad applicability (Hellens et al., 2005).

Stable Transgene Integration

Activation tagging vectors enable gain-of-function screens but risk silencing (Weigel et al., 2000). Selection markers and promoter strength affect long-term expression (Borevitz et al., 2000). Verification of single-copy insertions remains critical (Zambryski et al., 1983).

Essential Papers

Binary<i>Agrobacterium</i>vectors for plant transformation

Michael Bevan · 1984 · Nucleic Acids Research · 2.2K citations

A vector molecule for the efficient transformation of higher plants has been constructed with several features that make it efficient to use. It utilizes the trans acting functions of the vir regio...

Transient expression vectors for functional genomics, quantification of promoter activity and RNA silencing in plants

Roger P. Hellens, Andrew C. Allan, Ellen N. Friel et al. · 2005 · Plant Methods · 1.8K citations

Abstract Background We describe novel plasmid vectors for transient gene expression using Agrobacterium , infiltrated into Nicotiana benthamiana leaves. We have generated a series of pGreenII cloni...

Cannabis sativa: The Plant of the Thousand and One Molecules

Christelle M. André, Jean-François Hausman, Gea Guerriero · 2016 · Frontiers in Plant Science · 1.5K citations

Cannabis sativa L. is an important herbaceous species originating from Central Asia, which has been used in folk medicine and as a source of textile fiber since the dawn of times. This fast-growing...

Activation Tagging Identifies a Conserved MYB Regulator of Phenylpropanoid Biosynthesis

Justin Borevitz, Yiji Xia, Jack W. Blount et al. · 2000 · The Plant Cell · 1.5K citations

Plants produce a wide array of natural products, many of which are likely to be useful bioactive structures. Unfortunately, these complex natural products usually occur at very low abundance and wi...

<i>Agrobacterium</i> -Mediated Plant Transformation: the Biology behind the “Gene-Jockeying” Tool

Stanton B. Gelvin · 2003 · Microbiology and Molecular Biology Reviews · 1.3K citations

SUMMARY Agrobacterium tumefaciens and related Agrobacterium species have been known as plant pathogens since the beginning of the 20th century. However, only in the past two decades has the ability...

A highly efficient rice green tissue protoplast system for transient gene expression and studying light/chloroplast-related processes

Yang Zhang, Jianbin Su, Shan Duan et al. · 2011 · Plant Methods · 1.0K citations

Activation Tagging in Arabidopsis

Detlef Weigel, Ji Hoon Ahn, Miguel Á. Blázquez et al. · 2000 · PLANT PHYSIOLOGY · 966 citations

Abstract Activation tagging using T-DNA vectors that contain multimerized transcriptional enhancers from the cauliflower mosaic virus (CaMV) 35S gene has been applied to Arabidopsis plants. New act...

Reading Guide

Foundational Papers

Start with Bevan (1984) for binary vector basics (2160 citations), Gelvin (2003) for biological mechanisms (1330 citations), then Hellens et al. (2005) for transient applications (1755 citations).

Recent Advances

Study Toki et al. (2006) for rice optimization, André et al. (2016) for Cannabis applications, Wang et al. (2016) for CRISPR integration.

Core Methods

Core techniques include T-DNA borders with vir trans-activation (Bevan, 1984), activation tagging (Weigel et al., 2000), and protoplast co-culture (Zhang et al., 2011).

How PapersFlow Helps You Research Agrobacterium-Mediated Transformation

Discover & Search

Research Agent uses searchPapers and citationGraph to map foundational works like Bevan (1984) and its 2160-citing network, then exaSearch for 'rice Agrobacterium scutellum transformation' to find Toki et al. (2006), and findSimilarPapers to uncover related protoplast protocols.

Analyze & Verify

Analysis Agent applies readPaperContent on Hellens et al. (2005) to extract pGreenII vector details, verifyResponse with CoVe for transformation efficiency claims against Gelvin (2003), and runPythonAnalysis to statistically compare citation impacts or vector efficiencies across papers using pandas.

Synthesize & Write

Synthesis Agent detects gaps in rice-specific protocols via contradiction flagging between Toki et al. (2006) and Zhang et al. (2011), while Writing Agent uses latexEditText, latexSyncCitations for Bevan (1984), and latexCompile to generate protocol manuscripts with exportMermaid for T-DNA transfer diagrams.

Use Cases

"Analyze transformation efficiencies in rice papers using statistics."

Research Agent → searchPapers('rice Agrobacterium efficiency') → Analysis Agent → readPaperContent(Toki 2006) + runPythonAnalysis(pandas plot of efficiencies from Toki/Zhang) → matplotlib efficiency comparison chart.

"Write LaTeX protocol for Arabidopsis activation tagging."

Research Agent → citationGraph(Weigel 2000) → Synthesis Agent → gap detection → Writing Agent → latexEditText(protocol) → latexSyncCitations(Borevitz/Weigel) → latexCompile → PDF with regenerated explant diagram.

"Find code for Agrobacterium vector design simulation."

Research Agent → searchPapers('Agrobacterium binary vector simulation') → Code Discovery → paperExtractUrls(Hellens 2005) → paperFindGithubRepo → githubRepoInspect → Python scripts for T-DNA border modeling.

Automated Workflows

Deep Research workflow scans 50+ papers via searchPapers on 'Agrobacterium plant transformation efficiency', structures reports with GRADE grading on protocol claims from Bevan/Gelvin. DeepScan applies 7-step CoVe checkpoints to verify Toki et al. (2006) rice methods against Zhang et al. (2011). Theorizer generates hypotheses on vir region enhancements from citationGraph of foundational vectors.

Try Doxa for Agrobacterium-Mediated Transformation Research

Frequently Asked Questions

What defines Agrobacterium-Mediated Transformation?

It uses Agrobacterium tumefaciens Ti plasmid T-DNA transfer for stable plant cell integration, optimized in tissue culture (Gelvin, 2003).

What are key methods in this subtopic?

Binary vectors with vir trans-functions (Bevan, 1984), transient pGreenII systems (Hellens et al., 2005), and scutellum infection for rice (Toki et al., 2006).

What are major papers?

Bevan (1984; 2160 citations) on binary vectors, Gelvin (2003; 1330 citations) on biology, Hellens et al. (2005; 1755 citations) on transient expression.

What open problems exist?

Improving efficiency in recalcitrant species, reducing silencing in stable lines, and genotype-independent protocols (Gelvin, 2003; Toki et al., 2006).