cropPAL

Global agriculture faces increasing demand for crop yield, higher amounts of and more diverse plant-derived protein. Protein subcellular location is a key element in determining protein function and accumulation patterns in plants and is critical for better harnessing plant energy for yield and plant defence for sustainability. The cropPAL2020 dataset provides a comprehensive subcellular proteomics resource and user interface for exploring global protein distributions within crop cells. It identifies species-specific protein subcellular location divergence and defines the best species for comparisons to drive compartmentation-based approaches to improve yield, protein composition and resilience in future crop varieties. Subcellular location can be determined by fluorescent protein tagging or mass spectrometry detection in subcellular purifications as well as by prediction using protein sequence features. The compendium of crop Proteins with Annotated Locations (cropPAL) collates 800 studies performed by 700 scientists in 45 countries around the world and computational data from 12 prediction algorithms. Crops included are banana (Musa acuminata), barley (Hordeum vulgare), canola (Brassica napus), field mustard (Brassica rapa), maize (Zea mays), potato (Solanum tuberosum), rice (Oryza sativa), sorghum (Sorghum bicolor), soybean (Glycine max), tomato (Solanum lycopersicum), wheat (Triticum aestivum), wine grape (Vitis Vinifera). The data collection including metadata for proteins and studies can be searched using the query builder below. The Homology tab functions allows the search for location data across all crop species as well as compares it to Arabidopsis data from SUBA4.

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