What is PhytoSyn?
PhytoSyn is an AI-powered plant science literature review generator that helps researchers, graduate students, and plant breeders stay current with the latest preprint research. It searches multiple academic databases, filters papers by relevance using AI, and generates comprehensive review articles — complete with figures and full references.
How It Works
PhytoSyn uses an agentic AI research pipeline to find and synthesize plant science literature:
- Multi-source search — Queries EuropePMC, OpenAlex, Ensembl Plants, and Gramene simultaneously for maximum coverage
- AI relevance filtering — Uses Claude Haiku to score each paper's relevance to your specific plant and topic combination
- Adaptive research agent — A 12-turn AI agent that reformulates queries, extracts gene names, cross-references genomic databases, and discovers additional related papers
- Review generation — Claude Sonnet synthesizes findings into a structured review article styled after Annual Review of Plant Biology
- Figure generation — AI-generated pathway diagrams and comparison matrices visualize relationships across studies
- Professional PDF export — Download publication-ready reports with branded headers, figures, and full references
Supported Disciplines
PhytoSyn covers six major areas of plant research:
- Plant Stress Biology — drought tolerance, heat stress, salinity, pathogen defense, oxidative stress, combined stress responses
- Crop Science — climate-resilient crops, CRISPR gene editing, high-throughput phenotyping, disease genomics, yield improvement
- Agriculture & Food Security — food security, sustainable agriculture, plant protein, smallholder farming, water use efficiency
- Plant Genomics — GWAS, pangenomes, transcriptomics, epigenomics, single-cell omics, gene regulatory networks
- Plant Ecology & Evolution — adaptation, speciation, phylogenomics, population genetics, conservation genetics
- Plant Biotechnology — synthetic biology, molecular farming, biofuel, transformation, RNA technology, nitrogen fixation
Species Coverage
Search across 80+ plant species including model organisms and major crops: Arabidopsis thaliana, rice (Oryza sativa), wheat (Triticum aestivum), maize (Zea mays), soybean (Glycine max), tomato (Solanum lycopersicum), potato, barley, sorghum, cotton, grape, poplar, tobacco, cassava, banana, chickpea, and many more.
Data Sources
- EuropePMC — Europe's largest life sciences literature database, including all bioRxiv preprints
- OpenAlex — Open catalog of the world's scholarly works, with citation data and open access links
- Ensembl Plants — Genome browser for plant species, providing gene positions, descriptions, and orthologs
- Gramene — Comparative genomics resource for crops, with QTL data and pathway associations
Two Report Modes
- Extensive — Searches up to 70 papers across all sources with deep AI analysis and gene cross-referencing
- Latest — Quick overview of the 10 most recent papers on your topic
Who Is PhytoSyn For?
- Graduate students starting literature reviews for their thesis or qualifying exams
- Postdocs and PIs exploring new research directions or keeping up with fast-moving fields
- Plant breeders tracking genomic tools and QTL discoveries relevant to their crops
- Science communicators needing structured overviews of complex plant biology topics
Technology
PhytoSyn is built with Python/Flask and powered by Anthropic's Claude AI models. Multi-model routing uses Claude Haiku for fast, cost-efficient paper filtering and Claude Sonnet for high-quality review generation. All searches and API calls run in parallel for speed.
Pricing
Every user gets 1 free report per month. Reports are cached for 7 days so identical queries return instantly. Admin users and users with bonus credits can generate additional reports.
Contact
PhytoSyn is developed by Su Sarlar. For questions, feedback, or collaboration inquiries:
- Email: phytosyn@susarlar.nl
- LinkedIn: linkedin.com/in/su-sarlar