Subtopic Deep Dive

Geminivirus-Host Interactions and Recombination
Research Guide

What is Geminivirus-Host Interactions and Recombination?

Geminivirus-host interactions and recombination encompass molecular mechanisms by which geminiviruses interact with plant hosts, including recombination events generating diversity and viral suppressors countering host RNA silencing defenses.

Geminiviruses, single-stranded DNA viruses transmitted by whiteflies, cause severe diseases in crops like tomato through host interactions and recombination (Jones, 2003; 824 citations). Key studies detail strain demarcation and nomenclature reflecting recombination-driven evolution (Fauquet et al., 2008; 700 citations). Population dynamics reveal hotspots in recombination aiding emergence risks (Brown et al., 2015; 788 citations).

Curated Papers

Key Challenges

Why It Matters

Geminivirus recombination drives rapid evolution, enabling adaptation to resistant crops and predicting outbreaks in solanaceous plants like tomato (Navot et al., 1991; 471 citations). Suppressors of RNA silencing, such as those countering Dicer-like proteins, allow systemic infection spread (Blevins et al., 2006; 482 citations; García-Ruíz et al., 2010; 502 citations). CRISPR editing targets these interactions for durable resistance (Chen et al., 2019; 1453 citations; Borrelli et al., 2018; 495 citations), reducing yield losses estimated at 40-100% in affected fields.

Key Research Challenges

Recombination Hotspot Detection

Identifying genomic regions prone to recombination requires sequencing thousands of isolates to map hotspots accurately (Brown et al., 2015). Challenges persist in distinguishing adaptive from neutral events amid high mutation rates (Sanjuán and Domingo‐Calap, 2016). Population genomics tools struggle with incomplete sampling.

Suppressor-Host Protein Mapping

Viral suppressors disrupt multiple host silencing pathways involving four Dicer-like proteins (Blevins et al., 2006). Protein-protein interaction assays reveal incomplete networks, complicating knockout validation (García-Ruíz et al., 2010). Functional redundancy in host defenses hinders targeted interventions.

Viral Transport Modeling

Cell-to-cell and long-distance movement involves host plasmodesmata modulation (Carrington et al., 1996). Quantitative models integrating recombination effects on transport proteins remain underdeveloped. Whitefly transmission adds vector-host complexity (Jones, 2003).

Essential Papers

CRISPR/Cas Genome Editing and Precision Plant Breeding in Agriculture

Kunling Chen, Yanpeng Wang, Rui Zhang et al. · 2019 · Annual Review of Plant Biology · 1.5K citations

Enhanced agricultural production through innovative breeding technology is urgently needed to increase access to nutritious foods worldwide. Recent advances in CRISPR/Cas genome editing enable effi...

Mechanisms of viral mutation

Rafael Sanjuán, Pilar Domingo‐Calap · 2016 · Cellular and Molecular Life Sciences · 937 citations

Plant Viruses Transmitted by Whiteflies

D. I. Jones · 2003 · European Journal of Plant Pathology · 824 citations

Revision of Begomovirus taxonomy based on pairwise sequence comparisons

Judith K. Brown, F. Murilo Zerbini, Jesús Navas‐Castillo et al. · 2015 · Archives of Virology · 788 citations

Geminivirus strain demarcation and nomenclature

C. Fauquet, R. W. Briddon, Judith K. Brown et al. · 2008 · Archives of Virology · 700 citations

Cell-to-Cell and Long-Distance Transport of Viruses in Plants.

James C. Carrington, K. D. Kasschau, S. Mahajan et al. · 1996 · The Plant Cell · 600 citations

The idea that viruses move through plants in two distinct modes was accurately concluded by G. Samuel in a 1934 paper describing the transport of tobacco mosaic virus (TMV) through solanaceous host...

<i>Arabidopsis</i> RNA-Dependent RNA Polymerases and Dicer-Like Proteins in Antiviral Defense and Small Interfering RNA Biogenesis during <i>Turnip Mosaic Virus</i> Infection

Hernán García-Ruíz, Atsushi Takeda, Elisabeth J. Chapman et al. · 2010 · The Plant Cell · 502 citations

Abstract Plants respond to virus infections by activation of RNA-based silencing, which limits infection at both the single-cell and system levels. Viruses encode RNA silencing suppressor proteins ...

Reading Guide

Foundational Papers

Start with Jones (2003; 824 citations) for whitefly transmission basics, Fauquet et al. (2008; 700 citations) for taxonomy reflecting recombination, then Carrington (1996; 600 citations) for movement mechanisms.

Recent Advances

Chen et al. (2019; 1453 citations) for CRISPR applications; Brown et al. (2015; 788 citations) for updated begomovirus taxonomy; Borrelli et al. (2018; 495 citations) for resistance enhancement.

Core Methods

Pairwise sequence comparison for demarcation (Brown et al., 2015); Dicer knockout assays for silencing (Blevins et al., 2006); population genomics for mutation/recombination rates (Sanjuán and Domingo‐Calap, 2016).

How PapersFlow Helps You Research Geminivirus-Host Interactions and Recombination

Discover & Search

PapersFlow's Research Agent uses searchPapers with 'geminivirus recombination host silencing' to retrieve 788-citation Brown et al. (2015) taxonomy paper, then citationGraph reveals inbound links from Fauquet et al. (2008) for strain evolution, and findSimilarPapers expands to Sanjuán (2016) mutation mechanisms.

Analyze & Verify

Analysis Agent applies readPaperContent on Blevins et al. (2006) to extract Dicer roles in DNA virus silencing, verifies suppressor claims via CoVe against García-Ruíz et al. (2010), and runPythonAnalysis on recombination sequence data with pandas for hotspot stats, graded A via GRADE for evidence strength.

Synthesize & Write

Synthesis Agent detects gaps in recombination-transport links across Carrington (1996) and Brown (2015), flags contradictions in suppressor efficacy; Writing Agent uses latexEditText for figure edits, latexSyncCitations for 10-paper bibliography, and latexCompile for camera-ready review.

Use Cases

"Analyze recombination hotspots in Tomato yellow leaf curl virus populations."

Research Agent → searchPapers → Analysis Agent → runPythonAnalysis (pandas sequence alignment stats) → CSV of hotspot frequencies with p-values.

"Draft LaTeX review on geminivirus silencing suppressors."

Synthesis Agent → gap detection → Writing Agent → latexEditText + latexSyncCitations (Blevins 2006, García-Ruíz 2010) → latexCompile → PDF manuscript.

"Find code for geminivirus genome recombination simulation."

Research Agent → paperExtractUrls (Brown 2015) → Code Discovery → paperFindGithubRepo → githubRepoInspect → Python scripts for pairwise sequence analysis.

Automated Workflows

Deep Research workflow scans 50+ geminivirus papers via exaSearch, structures recombination evolution report with citationGraph from Fauquet (2008). DeepScan applies 7-step CoVe to verify suppressor data from Blevins (2006), checkpoint-grading transport models in Carrington (1996). Theorizer generates hypotheses on CRISPR-resistant recombinants from Chen (2019) and Sanjuán (2016).

Try Doxa for Geminivirus-Host Interactions and Recombination Research

Frequently Asked Questions

What defines geminivirus-host interactions?

Interactions include viral suppressors blocking host RNA silencing via Dicer-like proteins (Blevins et al., 2006) and recombination generating strain diversity (Fauquet et al., 2008).

What methods study recombination?

Pairwise sequence comparisons demarcate strains and detect hotspots (Brown et al., 2015); population genomics tracks evolution (Sanjuán and Domingo‐Calap, 2016).

What are key papers?

Foundational: Fauquet et al. (2008; 700 citations) on nomenclature; Jones (2003; 824 citations) on whitefly transmission. Recent: Chen et al. (2019; 1453 citations) on CRISPR editing.

What open problems exist?

Predicting recombination-driven emergence in crops; mapping all suppressor-host interactions; integrating transport with silencing (Carrington et al., 1996).