Cross-Species Plant Single-Cell Analysis: Community Challenges and Shared Solutions.
Haghan M, Chau TN, Alajoleen R, Chen CY, Dip SA
Single Cell Genomics
Better crops that survive drought, disease, and a warming climate start with understanding exactly which genes switch on in which cells — and this community effort is building the shared toolkit that makes those breakthroughs possible faster.
Imagine being able to read the unique instruction set inside every single cell of a plant — root cells, leaf cells, seed cells — all at once. Scientists can now do this, but the tools were scattered and hard to compare between labs or between plant species. A large group of researchers got together, agreed on the biggest problems, and built a shared library of methods and data to fix them, including using AI to automate much of the work.
Key Findings
Five priority challenge areas were defined at the 2025 Summer Workshop, including AI-agent-driven end-to-end workflows and phylogenetically aware cell-type annotation across species.
PlantSCHub was launched as a community-curated web portal centralizing protocols, datasets, and tutorials to support reproducible plant single-cell analysis.
Both single-cell RNA sequencing and single-cell chromatin accessibility sequencing (scATAC-seq) were identified as essential paired technologies for understanding gene regulation across plant species.
chevron_right Technical Summary
Researchers from a 2025 international workshop mapped out the biggest technical hurdles blocking wide use of single-cell genomics in plants, then launched a shared web portal called PlantSCHub to pool tools, data, and tutorials. Their roadmap outlines how AI and cross-species comparisons can speed up crop improvement and basic plant discoveries.
Abstract Preview
Single-cell genomics is rapidly reshaping plant biology, yet broader adoption is limited by plant-specific technical constraints, fragmented tools, and inconsistent analytical practices. Here we re...
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